The latest ISG Buyers Guide for Cloud Computing Platforms uncovers the market evolution of regional and global cloud providers. Buyers Guides for Public Cloud Platforms, Private Cloud Platforms and Hybrid Cloud Platforms are part of the recent software provider evaluations. ISG Software Research defines Cloud Platforms as a software service for organizations to access virtualized IT resources via the internet on a pay-per-use basis. These resources include servers, data processing power, data...
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Topics:
Cloud Computing,
Digital Technology,
natural language processing,
ITOps,
Accessibility,
Hybrid Cloud Platforms
I am happy to share insights gleaned from our latest Buyers Guide, an assessment of how well software providers’ offerings meet buyers’ requirements. The Cloud Computing Platforms Ventana Research Buyers Guide is the distillation of a year of market and product research by ISG and Ventana Research.
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Topics:
Cloud Computing,
Digital Technology
The technology landscape for enterprise IT faces a daunting challenge: complexity. As systems grow more intricate, organizations must actively seek ways to simplify the technology stack. This process, known as decomplexification, is crucial for enhancing efficiency, security and collaboration within an enterprise.
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Topics:
Cloud Computing,
IT Service Management,
Digital Technology,
DevOps and Platforms
Enterprises are increasingly recognizing the need to streamline operations for efficiency, agility and innovation. This has led to various “operations” or “Ops” initiatives, each focusing on a specific aspect of enterprise IT. From software development and data analytics to IT and cloud management, these Ops groups are transforming the way enterprises operate and compete.
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Topics:
Analytics,
Cloud Computing,
Digital Technology,
data operations,
Analytic Operations,
AIOps
The migration of on-premises applications to the cloud has become more than just a technological shift; it’s a strategic imperative for enterprises. This transition, driven by the need for competitiveness, agility and responsiveness in a rapidly evolving business environment that operates at the speed of digital, is not a simple task. It requires a careful balance between the technology roadmap and the strategic business objectives of the organization.
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Topics:
Cloud Computing,
Digital Technology
The increasing importance of intelligent operational applications driven by artificial intelligence (AI) is blurring the lines that have traditionally divided the requirements between operational and analytic data platforms. Operational data platforms have traditionally been deployed to support applications targeted at business users and decision-makers to run the business, with analytic data platforms typically supporting applications used by data and business analysts to analyze the business.
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Topics:
embedded analytics,
Analytics,
Cloud Computing,
analytic data platforms,
Analytics and Data
Ventana Research recently announced its 2024 Market Agenda for Digital Technology. This agenda is designed to provide expertise to enterprises across various industries, helping them prioritize technology investments that enhance workforce effectiveness, customer engagement and enterprise agility. Digital Technology is especially important for CIO and Chief Digital Officers looking to rationalize and modernize their IT portfolio. Our expertise will see a significant expansion on this topic in...
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Topics:
Business Continuity,
Cloud Computing,
IT Service Management,
Digital Technology
In recent years, many enterprises have migrated data platform workloads from on-premises infrastructure to cloud environments, attracted by the promised benefits of greater agility and lower costs. The scale of cloud data platform adoption is illustrated by Ventana Research’s Data Lakes Dynamic Insights research: For two-thirds (66%) of participants, the primary data platform used for analytics is cloud based. As the quantity and importance of the data platform workloads deployed in the cloud...
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Topics:
business intelligence,
Cloud Computing,
data operations,
robotic automation,
analytic data platforms,
Analytics and Data,
AI and Machine Learning
Discussion about potential deployment locations for analytics and data workloads is often based on the assumption that, for enterprise workloads, there is a binary choice between on-premises data centers and public cloud. However, the low-latency performance or sovereignty characteristics of a significant and growing proportion of workloads make them better suited to data and analytics processing where data is generated rather than a centralized on-premises or public cloud environment. ...
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Topics:
Cloud Computing,
Internet of Things,
Data,
Digital Technology,
analytic data platforms,
Analytics and Data,
AI and Machine Learning
I recently discussed how fashion has a surprisingly significant role to play in the data market as various architectural approaches to data storage and processing take turns enjoying a phase in the limelight. Pendulum swing is a theory of fashion that describes the periodic movement of trends between two extremes, such as short and long hemlines or skinny and baggy/flared trousers. Pendulum swing theory is similarly a factor in data technology trends, with an example being the oscillation...
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Topics:
Analytics,
Cloud Computing,
Data Management,
Data,
Digital Technology,
data operations,
Analytics and Data,
AI and Machine Learning
I previously described how Oracle had positioned its database portfolio to address any and all data platform requirements. The caveat to that statement at the time was that any organization wanting to take advantage of the company’s flagship Oracle Autonomous Database could only do so using Oracle Cloud Infrastructure (OCI) cloud computing service, their own datacenter or a hybrid cloud environment. The widespread popularity of Oracle Database and the advanced automation capabilities delivered...
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Topics:
Analytics,
Business Intelligence,
Cloud Computing,
Data Management,
Data,
Digital Technology,
analytic data platforms,
Analytics and Data
I recently articulated some of the reasons why IT teams can fail to deliver on the business requirements for data and analytics projects. This is an age-old and multifaceted problem that is not easily solved. Organizations have a role to play in alleviating the issue by ensuring that their business processes and project planning support a collaborative approach in which business and IT professionals work together. Data and analytics product vendors can also help by delivering products that are...
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Topics:
Cloud Computing,
Data Governance,
Data Management,
Data,
Digital Technology,
Analytics and Data,
AI and Machine Learning
I have previously written about the functional evolution and emerging use cases for NoSQL databases, a category of non-relational databases that first emerged 15 or so years ago and are now well established as potential alternatives to relational databases. NoSQL is a term used to describe a variety of databases that fall into four primary functional categories: key-value stores, wide-column stores, document-oriented databases and graph databases. Each is worthy of further exploration, which is...
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Topics:
Cloud Computing,
Data,
Digital Technology,
data operations,
Analytics and Data
I previously wrote about the challenge facing distributed SQL database providers to avoid becoming pigeonholed as only being suitable for a niche set of requirements. Factors including performance, reliability, security and scalability provide a focal point for new vendors to differentiate from established providers and get a foot in the door with customer accounts. Expanding and retaining those accounts is not necessarily easy, however, especially as general-purpose data platform providers...
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Topics:
Analytics,
Cloud Computing,
Data,
Digital Technology,
Streaming Data Events,
analytic data platforms,
Analytics and Data,
AI and Machine Learning
The data platforms market may appear to have little or nothing to do with haute couture, but it is one of the data sectors most strongly influenced by the fickle finger of fashion. In recent years, various architectural approaches to data storage and processing have enjoyed a phase in the limelight, including data warehouse, data mart, data hub, data lake, cloud data warehouse, object storage, data lakehouse, data fabric and data mesh. These approaches are often heralded as the next big thing,...
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Topics:
Cloud Computing,
Data Governance,
Data Management,
Data,
Digital Technology,
data operations,
Streaming Data Events,
analytic data platforms,
Analytics and Data,
AI and Machine Learning
I have written before about the rising popularity of the data fabric approach for managing and governing data spread across distributed environments comprised of multiple data centers, systems and applications. I assert that by 2025, more than 6 in 10 organizations will adopt data fabric technologies to facilitate the management and processing of data across multiple data platforms and cloud environments. The data fabric approach is also proving attractive to vendors, including Microsoft, as a...
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Topics:
Analytics,
Business Intelligence,
Cloud Computing,
Data Governance,
Data Management,
Data,
Digital Technology,
analytic data platforms,
Analytics and Data,
AI and Machine Learning
I recently wrote about the various technologies used by organizations to process and analyze data in real time. I explained that while the terms streaming data and events and streaming analytics are often used interchangeably, they are separate disciplines that make use of common underlying concepts and technologies such as events, event brokers and event-driven architecture. Confluent’s acquisition of Immerok earlier this year provided a reminder of this fact. Confluent is one of the most...
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Topics:
Analytics,
Cloud Computing,
Data Governance,
Data,
Digital Technology,
Streaming Analytics,
Streaming Data Events
Data is one of the most valuable assets an organization owns, and a robust data backup and recovery system is foundational to protecting it. Weak data protection efforts jeopardize resilience and business continuity. With data residing in multiple places – including on-premises servers and public and private cloud environments – it is difficult to ensure that all data is backed up and recoverable in the event of a disaster.
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Topics:
Business Continuity,
Cloud Computing
It is a mark of the rapid, current pace of development in artificial intelligence (AI) that machine learning (ML) models, until recently considered state of the art, are now routinely being referred to by developers and vendors as “traditional.” Generative AI, and large language models (LLMs) in particular, have taken the AI world by storm in the past year, automating and accelerating the development of content, including text, digital images, audio and video, as well as computer programs and...
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Topics:
Analytics,
Business Intelligence,
Cloud Computing,
Data Governance,
Data,
Digital Technology,
natural language processing,
analytic data platforms,
Analytics and Data,
AI and Machine Learning
The publication of Ventana Research’s 2023 Operational Data Platforms Value Index earlier this year highlighted the importance of incorporating analytic processing into operational applications to deliver personalization and recommendations for workers, partners and customers. This importance is being accelerated by interest in generative AI, especially large language models. The emergence of intelligent applications has impacted the requirements for operational data platforms with the need to...
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Topics:
Analytics,
Cloud Computing,
Data,
Digital Technology,
analytic data platforms,
Analytics and Data,
AI and Machine Learning
Despite best intentions, many organizations still struggle with some fundamental aspects of data processing and analytics. Taking data from operational applications and making it available for analysis is a first step, but data management remains a perennial challenge. Data movement and transformation difficulties can lead to delays and data quality problems that prevent organizations from generating value from data. The inability to govern and integrate data from multiple data sources prevents...
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Topics:
Cloud Computing,
Data Management,
Data,
Digital Technology,
data operations,
Analytics and Data
Cloud computing has emerged as the catalyst for a shift from digital transformation to digital modernization. This technology offers many advantages, including heightened agility, cost reduction, improved collaboration, enhanced security and accelerated innovation. Hybrid and multi-cloud strategies offer distinctive strengths that enable organizations to optimize the IT infrastructure necessary for digital transformation and modernization efforts.
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Topics:
Cloud Computing,
Digital Technology
I previously explained the arguments in favor of adoption of distributed SQL databases, the new generation of operational data platforms designed to combine the benefits of the relational database model and native support for distributed cloud architecture. It is critical for distributed SQL vendors to engage with developers to ensure they are considering the importance of resilience that spans multiple data centers and/or cloud regions as they choose the databases that will underpin...
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Topics:
Cloud Computing,
Data,
Digital Technology,
Analytics and Data
Data fabric has grown in popularity as organizations struggle to manage data spread across multiple data centers, systems and applications. By providing a technology-driven approach to automating data management and governance across distributed environments, data fabric is attractive to organizations seeking to simplify and standardize data management. I assert that by 2025, more than 6 in 10 organizations will adopt data fabric technologies to facilitate the management and processing of data...
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Topics:
Cloud Computing,
Data Management,
Data,
Digital Technology,
data operations,
analytic data platforms,
Analytics and Data
The digital transformation movement was about making wholesale changes in the use of technology across all lines of business and functions. It required organizational change on a large scale, including adapting the organization’s culture, retraining or rehiring the workforce and process realignment. Change management and a significant time commitment to implement change were necessary while maintaining existing operations.
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Topics:
Cloud Computing,
Digital Technology
The data platforms market has traditionally been divided between products specifically designed to support operational or analytic workloads, with other market segments having emerged in recent years for data platforms targeted specifically at data science and machine learning (ML), as well as real-time analytics. More recently, we have seen vendor strategies evolving to provide a more consolidated approach, with data platforms designed to address a combination of analytics and data science, as...
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Topics:
Analytics,
Business Intelligence,
Cloud Computing,
Data,
Digital Technology,
analytic data platforms,
Analytics and Data,
AI and Machine Learning
The recent publication of our Value Index research highlights the impact of intelligent applications on the operational data platforms sector. While we continue to believe that, for most use cases, there is a clear, functional requirement for either analytic or operational data platforms, recent growth in the development of intelligent applications infused with the results of analytic processes, such as personalization and artificial intelligence (AI)-driven recommendations, has increasing...
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Topics:
Analytics,
Business Intelligence,
Cloud Computing,
Data,
Digital Technology,
analytic data platforms,
Analytics and Data
I have previously written about the importance of data democratization as a key element of a data-driven agenda. Removing barriers that prevent or delay users from gaining access to data enables it to be treated as a product that is generated and consumed, either internally by employees or externally by partners and customers. This is particularly important for organizations adopting the data mesh approach to data ownership, access and governance. Data mesh is an organizational and cultural...
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Topics:
Cloud Computing,
Data Governance,
Data Management,
Data,
Digital Technology,
data operations,
Analytics and Data
I recently wrote about the potential use cases for distributed SQL databases as well as techniques being employed by vendors to accelerate adoption. Distributed SQL is a term that is used by several vendors to describe operational data platform products that combine the benefits of the relational database model and native support for distributed cloud architecture, including resilience that spans multiple data centers and/or cloud regions. I noted that compatibility with existing database tools...
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Topics:
Cloud Computing,
Data,
Digital Technology,
Analytics and Data
Data observability was a hot topic in 2022 and looks likely to be a continued area of focus for innovation in 2023 and beyond. As I have previously described, data observability software is designed to automate the monitoring of data platforms and data pipelines, as well as the detection and remediation of data quality and data reliability issues. There has been a Cambrian explosion of data observability software vendors in recent years, and while they have fundamental capabilities in common,...
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Topics:
Cloud Computing,
Data Management,
Data,
Digital Technology,
data operations,
Analytics and Data
I have written about the increased demand for data-intensive operational applications infused with the results of analytic processes, such as personalization and artificial intelligence-driven recommendations. I previously described the use of hybrid data processing to enable analytics on application data within operational data platforms. As is often the case in the data platforms sector, however, there is more than one way to peel an orange. Recent years have also seen the emergence of...
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Topics:
Cloud Computing,
Data,
Digital Technology,
analytic data platforms,
Analytics and Data
Despite the emphasis on organizations being more data-driven and making an increasing proportion of business decisions based on data and analytics, it remains the case that some of the most fundamental questions about an organization are difficult to answer using data and analytics. Ostensibly simple questions such as, “how many customers does the organization have?” can be fiendishly difficult to answer, especially for organizations with multiple business entities, regions, departments and...
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Topics:
Cloud Computing,
Data Management,
Data,
data operations,
Analytics and Data,
AI and Machine Learning
I am happy to share insights from our latest Ventana Research Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. The 2023 Analytic Data Platforms Value Index is the distillation of a year of market and product research by Ventana Research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect real-world criteria incorporated in a request for proposal to data platform vendors supporting the...
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Topics:
Cloud Computing,
Data,
Digital Technology,
analytic data platforms,
Analytics and Data
Ventana Research recently published the 2023 Analytic Data Platforms Value Index. As organizations strive to be more data-driven, increasing reliance on data as a fundamental factor in business decision-making, the importance of the analytic data platform has never been greater. In this post, I’ll share some of my observations about how the analytic data platforms market is evolving.
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Topics:
Cloud Computing,
Data,
Digital Technology,
analytic data platforms,
Analytics and Data
I am happy to share insights from our latest Ventana Research Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. The 2023 Operational Data Platforms Value Index is the distillation of a year of market and product research by Ventana Research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect real-world criteria incorporated in a request for proposal to data platform vendors supporting the...
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Topics:
Cloud Computing,
Data,
Digital Technology,
Analytics and Data
Ventana Research recently announced its 2023 Market Agenda for Data, continuing the guidance we have offered for two decades to help organizations derive optimal value and improve business outcomes.
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Topics:
Cloud Computing,
Data Governance,
Data Management,
Data,
Digital Technology,
data operations,
Streaming Data Events,
analytic data platforms,
Analytics and Data
Ventana Research recently published the 2023 Operational Data Platforms Value Index. The importance of the operational data platform has never been greater as organizations strive to be more data-driven, incorporating intelligence into operational applications via personalization and recommendations for workers, partners and customers. In this post, I’ll share some of my observations on how the operational data platforms market is evolving.
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Topics:
Cloud Computing,
Data,
analytic data platforms,
Analytics and Data
I am happy to share insights from our latest Ventana Research Value Index, which assesses how well vendors’ offerings meet buyers’ requirements. The 2023 Data Platforms Value Index is the distillation of a year of market and product research by Ventana Research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect real-world criteria incorporated in a request for proposal to data platform vendors that support the spectrum of...
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Topics:
Cloud Computing,
Data,
Digital Technology,
analytic data platforms,
Analytics and Data
I’m proud to share Ventana Research’s 2023 Market Agenda for Digital Technology. Our focus in this agenda is to deliver expertise to help organizations prioritize technology investments that improve customer, partner and workforce experiences while also increasing organizational effectiveness and agility.
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Topics:
Analytics,
Cloud Computing,
Internet of Things,
Data,
Digital Technology,
blockchain,
mobile computing,
extended reality,
robotic automation,
Collaborative & Conversational Computing,
AI and Machine Learning
Vertical strategies for enterprise resource planning systems are not new. They emerged more than two decades ago as vendors looked for ways to reduce costs and shorten time-to-value in a software category that was notorious for high costs and extended timelines. A vertical-plus strategy – the plus means it’s a platform, not just an application – takes advantage of recently available technology to extend the ease of implementation and maintenance of the system by having deeper integration with...
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Topics:
Office of Finance,
Cloud Computing,
ERP and Continuous Accounting,
AI and Machine Learning
Data observability is a hot topic and trend. I have written about the importance of data observability for ensuring healthy data pipelines, and have covered multiple vendors with data observability capabilities, offered both as standalone and part of a larger data engineering system. Data observability software provides an environment that takes advantage of machine learning and DataOps to automate the monitoring of data quality and reliability. The term has been adopted by multiple vendors...
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Topics:
Cloud Computing,
Data Management,
Data,
Digital Technology,
data operations
Having recently completed the 2023 Data Platforms Value Index, I want to share some of my observations about how the market is evolving. Although this is our inaugural assessment of the market for data platforms, the sector is mature and products from many of the vendors we assess can be used to effectively support operational and analytic use cases.
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Topics:
Cloud Computing,
Data,
Digital Technology,
analytic data platforms,
Analytics and Data
The shift from on-premises server infrastructure to cloud-based and software-as-a-service (SaaS) models has had a profound impact on the data and analytics architecture of many organizations in recent years. More than one-half of participants (59%) in Ventana Research’s Analytics and Data Benchmark research are deploying data and analytics workloads in the cloud, and a further 30% plan to do so. Customer demand for cloud-based consumption models has also had a significant impact on the products...
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Topics:
Business Intelligence,
Cloud Computing,
Data Management,
Data,
natural language processing,
data operations,
analytic data platforms,
Analytics and Data,
AI and Machine Learning
There is always space for innovation in the data platforms sector, and new vendors continue to emerge at regular intervals with new approaches designed to serve specialist data storage and processing requirements. Factors including performance, reliability, security and scalability provide a focal point for new vendors to differentiate from established vendors, especially for the most demanding operational or analytic data platform requirements. It is never easy, however, for developers of new...
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Topics:
Cloud Computing,
Data
In previous perspectives in this series, I’ve discussed some of the realities of cloud computing including costs, hybrid and multi-cloud configurations and business continuity. This perspective examines the realities of security and regulatory concerns associated with cloud computing. These issues are often cited by our research participants as reasons they are not embracing the cloud. To be fair, the majority of our research participants are embracing the cloud. However, among those that have...
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Topics:
Analytics,
Business Intelligence,
Cloud Computing,
Data Governance,
Digital Technology,
Analytics and Data,
AI and Machine Learning
Earlier this year, I wrote about the increasing importance of data observability, an emerging product category that takes advantage of machine learning (ML) and Data Operations (DataOps) to automate the monitoring of data used for analytics projects to ensure its quality and lineage. Monitoring the quality and lineage of data is nothing new. Manual tools exist to ensure that it is complete, valid and consistent, as well as relevant and free from duplication. Data observability vendors,...
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Topics:
Business Intelligence,
Cloud Computing,
Data Management,
Data,
data operations
In my previous perspectives on cloud computing, I addressed some of the realities of cloud costs as well as hybrid and multi-cloud architectures. In the midst of the pandemic, my colleague, Mark Smith, authored a series of perspectives on considerations for business continuity in general, beginning with this look at some of the investments organizations must make to mitigate the risk of business disruptions. In this perspective, I’d like to address some of the realities of business continuity...
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Topics:
Business Continuity,
Cloud Computing,
Digital Technology
I have written recently about the similarities and differences between data mesh and data fabric. The two are potentially complementary. Data mesh is an organizational and cultural approach to data ownership, access and governance. Data fabric is a technical approach to automating data management and data governance in a distributed architecture. There are various definitions of data fabric, but key elements include a data catalog for metadata-driven data governance and self-service, agile data...
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Topics:
Business Intelligence,
Cloud Computing,
Data Governance,
Data Management,
Data,
data operations,
AI and Machine Learning
I have written before about the continued use of specialist operational and analytic data platforms. Most database products can be used for operational or analytic workloads, and the number of use cases for hybrid data processing is growing. However, a general-purpose database is unlikely to meet the most demanding operational or analytic data platform requirements. Factors including performance, reliability, security and scalability necessitate the use of specialist data platforms. I assert...
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Topics:
business intelligence,
Cloud Computing,
Data Management,
Data,
analytic data platforms,
Analytics and Data
Earlier this year I described the growing use-cases for hybrid data processing. Although it is anticipated that the majority of database workloads will continue to be served by specialist data platforms targeting operational and analytic workloads respectively, there is increased demand for intelligent operational applications infused with the results of analytic processes, such as personalization and artificial intelligence-driven recommendations. There are multiple data platform approaches to...
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Topics:
Business Intelligence,
Cloud Computing,
Data,
Streaming Data Events,
analytic data platforms,
AI and Machine Learning
I have recently written about the organizational and cultural aspects of being data-driven, and the potential advantages data-driven organizations stand to gain by responding faster to worker and customer demands for more innovative, data-rich applications and personalized experiences. I have also explained that data-driven processes require more agile, continuous data processing, with an increased focus on extract, load and transform processes — as well as change data capture and automation...
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Topics:
Cloud Computing,
Data Management,
Data,
data operations,
Analytics and Data
In my first perspective on cloud computing realities, I covered some of the cost considerations associated with cloud computing and how the cloud costing model may be different enough from on-premises models that some organizations are taken by surprise. In this perspective. I’d like to focus on realities of hybrid and multi-cloud deployments.
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Topics:
Cloud Computing,
Digital Technology
I recently wrote about the need for organizations to take a holistic approach to the management and governance of data in motion alongside data at rest. As adoption of streaming data and event processing increases, it is no longer sufficient for streaming data projects to exist in isolation. Data needs to be managed and governed regardless of whether it is processed in batch or as a stream of events. This requirement has resulted in established data management vendors increasing their focus on...
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Topics:
Big Data,
Cloud Computing,
Data Governance,
Streaming Analytics,
Streaming Data Events
The migration to cloud is obvious. Organizations are adopting cloud computing for all variety of applications and use cases. Managed cloud services, commonly referred to as software as a service (SaaS), offer many benefits to organizations including significantly reduced labor costs for system administration and maintenance, as many of these costs are shifted to the software vendor. SaaS also provides organizations with faster time to value as they adopt new technologies by eliminating the need...
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Topics:
Cloud Computing,
Digital Technology
I have written recently about increased demand for data-intensive applications infused with the results of analytic processes, such as personalization and artificial intelligence (AI)-driven recommendations. Almost one-quarter of respondents (22%) to Ventana Research’s Analytics and Data Benchmark Research are currently analyzing data in real time, with an additional 10% analyzing data every hour. There are multiple data platform approaches to delivering real-time data processing and analytics...
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Topics:
Cloud Computing,
Data,
Streaming Analytics,
Streaming Data Events,
analytic data platforms,
Analytics and Data
I have recently written about the importance of healthy data pipelines to ensure data is integrated and processed in the sequence required to generate business intelligence, and the need for data pipelines to be agile in the context of real-time data processing requirements. Data engineers, who are responsible for monitoring, managing and maintaining data pipelines, are under increasing pressure to deliver high-performance and flexible data integration and processing pipelines that are capable...
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Topics:
Big Data,
Cloud Computing,
Data Management,
Data,
data operations
I recently wrote about the growing range of use cases for which NoSQL databases can be considered, given increased breadth and depth of functionality available from providers of the various non-relational data platforms. As I noted, one category of NoSQL databases — graph databases — are inherently suitable for use cases that rely on relationships, such as social media, fraud detection and recommendation engines, since the graph data model represents the entities and values and also the...
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Topics:
business intelligence,
Analytics,
Cloud Computing,
Data,
Digital Technology,
Analytics and Data,
AI and Machine Learning
I previously described the concept of hydroanalytic data platforms, which combine the structured data processing and analytics acceleration capabilities associated with data warehousing with the low-cost and multi-structured data storage advantages of the data lake. One of the key enablers of this approach is interactive SQL query engine functionality, which facilitates the use of existing business intelligence (BI) and data science tools to analyze data in data lakes. Interactive SQL query...
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Topics:
Analytics,
Business Intelligence,
Cloud Computing,
Data,
Digital Technology,
data lakes,
data operations,
Analytics and Data,
AI and Machine Learning
As I recently described, it is anticipated that the majority of database workloads will continue to be served by specialist data platforms targeting operational and analytic workloads, albeit with growing demand for hybrid data processing use-cases and functionality. Specialist operational and analytic data platforms have historically been the since preferred option, but there have always been general-purpose databases that could be used for both analytic and operational workloads, with tuning...
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Topics:
Analytics,
Business Intelligence,
Cloud Computing,
Data,
Digital Technology,
Analytics and Data
I recently described the use cases driving interest in hybrid data processing capabilities that enable analysis of data in an operational data platform without impacting operational application performance or requiring data to be extracted to an external analytic data platform. Hybrid data processing functionality is becoming increasingly attractive to aid the development of intelligent applications infused with personalization and artificial intelligence-driven recommendations. These...
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Topics:
Analytics,
Business Intelligence,
Cloud Computing,
Data,
Digital Technology,
Analytics and Data,
AI and Machine Learning
The server is a key component of enterprise computing, providing the functional compute resources required to support software applications. Historically, the server was so fundamentally important that it – along with the processor, or processor core – was also a definitional unit by which software was measured, priced and sold. That changed with the advent of cloud-based service delivery and consumption models.
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Topics:
Business Continuity,
Cloud Computing,
Data,
Digital Technology,
Analytics and Data
Over a decade ago, I coined the term NewSQL to describe the new breed of horizontally scalable, relational database products. The term was adopted by a variety of vendors that sought to combine the transactional consistency of the relational database model with elastic, cloud-native scalability. Many of the early NewSQL vendors struggled to gain traction, however, and were either acquired or ceased operations before they could make an impact in the crowded operational data platforms market....
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Topics:
Business Continuity,
Cloud Computing,
Data,
Digital Technology,
Analytics and Data
I’m proud to share Ventana Research’s 2022 Market Agenda for Digital Technology. Our focus in this agenda is to deliver expertise to help organizations prioritize technology investments that increase workforce effectiveness and organizational agility, ensuring ongoing operations during any type of disruption.
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Topics:
Analytics,
Cloud Computing,
Internet of Things,
Data,
Digital Technology
The need for data-driven decision-making requires organizations to transform not only the approach to business intelligence and data science but also accelerate the development of new operational applications that support greater business agility, enable cloud- and mobile-based consumption, and deliver more interactive and personalized experiences. To stay competitive, organizations need to prioritize the development of new, data-driven applications. As a result, many have been encouraged to...
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Topics:
Analytics,
Cloud Computing,
Analytics and Data
Data lakes have enormous potential as a source of business intelligence. However, many early adopters of data lakes have found that simply storing large amounts of data in a data lake environment is not enough to generate business intelligence from that data. Similarly, lakes and reservoirs have enormous potential as sources of energy. However, simply storing large amounts of water in a lake is not enough to generate energy from that water. A hydroelectric power station is required to harness...
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Topics:
Analytics,
Business Intelligence,
Cloud Computing,
Data Governance,
Data Integration,
Data,
Digital Technology,
data lakes,
data operations,
AI and Machine Learning
Breaking into the database market as a new vendor is easier said than done given the dominance of the sector by established database and data management giants, as well as the cloud computing providers. We recently described the emergence of a new breed of distributed SQL database providers with products designed to address hybrid and multi-cloud data processing. These databases are architecturally and functionally differentiated from both the traditional relational incumbents (in terms of...
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Topics:
Cloud Computing,
Data,
Digital Technology,
Digital transformation,
Analytics and Data
Enterprises looking to adopt cloud-based data processing and analytics face a disorienting array of data storage, data processing, data management and analytics offerings. Departmental autonomy, shadow IT, mergers and acquisitions, and strategic choices mean that most enterprises now have the need to manage data across multiple locations, while each of the major cloud providers and data and analytics vendors has a portfolio of offerings that may or may not be available in any given location. As...
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Topics:
Analytics,
Cloud Computing,
Data Governance,
Data Integration,
Data,
Digital Technology,
data lakes,
data operations,
AI and Machine Learning
The work environment today demands that your organization advances the efficiency to execute business processes for continuous operations to have a positive impact on business performance. The capability to be responsive to any range of minor to disruptive business events is required to support business continuity and level of organizational readiness to meet the needs of digital business. Ventana Research asserts that in 2025, one-quarter of organizations will remain digitally ineffective in...
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Topics:
Customer Experience,
Voice of the Customer,
embedded analytics,
Analytics,
Business Intelligence,
Cloud Computing,
Contact Center,
Data,
Digital Technology,
Operations & Supply Chain,
Enterprise Resource Planning,
Digital transformation,
natural language processing,
continuous supply chain,
agent management,
Process Mining,
Streaming Analytics,
Experience Management,
AI and Machine Learning
I’m proud to share Ventana Research’s 2021 market agenda for digital technology. Our focus in this agenda is to deliver expertise to help organizations prioritize technology investments that increase workforce effectiveness and organizational agility, ensuring ongoing operation during any type of disruption.
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Topics:
Big Data,
Analytics,
Cloud Computing,
Internet of Things,
Digital Technology,
Robotic Process Automation,
blockchain,
Conversational Computing,
mobile computing,
extended reality,
AI and Machine Learning
We are happy to offer some insights on Qlik drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each is a critical aspect of...
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Topics:
Data Science,
Mobile,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Digital Technology
We are happy to offer some insights on Microsoft drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each is a critical...
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Topics:
Data Science,
Mobile,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Digital Technology
We are happy to offer some insights on Looker drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each is a critical aspect...
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Topics:
Data Science,
Mobile,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Digital Technology
We are happy to offer some insights on Tableau drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts by Ventana Research. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each...
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Topics:
Data Science,
Mobile,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Digital Technology
We are happy to offer some insights on Oracle drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each is a critical aspect...
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Topics:
Data Science,
Mobile,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Digital Technology
We are happy to offer some insights on Salesforce drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts by Ventana Research. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because...
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Topics:
Data Science,
Mobile,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Digital Technology
We are happy to offer some insights on SAS drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts by Ventana Research. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each is a...
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Topics:
Data Science,
Mobile,
Analytics,
Business Intelligence,
Cloud Computing,
Digital Technology
We are happy to offer some insights on Yellowfin drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts by Ventana Research. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each...
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Topics:
Data Science,
Mobile,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Digital Technology
We are happy to share some insight on Domo drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each is a critical aspect of...
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Topics:
Data Science,
Mobile,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Digital Technology
We are happy to offer some insights on SAP drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each is a critical aspect of...
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Topics:
Data Science,
Mobile,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Digital Technology
We are happy to share some insight on BOARD drawn from our Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each is a critical aspect of modern...
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Topics:
Data Science,
Mobile,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Digital Technology
We are happy to share some insights on Infor based on our latest market Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each is a critical...
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Topics:
Data Science,
Mobile,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Digital Technology
We are happy to share some insights about IBM drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.
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Topics:
Data Science,
Mobile,
business intelligence,
Analytics,
Cloud Computing,
Collaboration,
Digital Technology
We are happy to offer some insights on MicroStrategy drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on Analytics and BI focusing on Mobile, Embedded and Collaborative capabilities. Because each is a critical...
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Topics:
Data Science,
Mobile,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Digital Technology
We are happy to offer some insights on Information Builders drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each is a...
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Topics:
Data Science,
Mobile,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Digital Technology
Qonnections 2019 is Qlik's annual user conference. Key news from this year's conference centered on acquisitions of Podium Data and Attunity, along with an expansion of certifications on Google Cloud Platform, AWS, and Azure, with the ability to support Red Hat OpenShift. Many of these announcements were centered on a key theme of a cloud and SaaS-first approach.
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Topics:
Big Data,
Analytics,
Cloud Computing,
Data Integration,
Data Management,
Information Management,
Qlik,
Qlik Qonnections
I am happy to offer some insights on Qlik drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. TheVentana Research Value Index: Analytics and Business Intelligence 2019is the distillation of a year of market andproduct research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the...
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Topics:
Data Science,
Mobile Technology,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Digital Technology
I am happy to offer some insights on Microsoft drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. TheVentana Research Value Index: Analytics and Business Intelligence 2019is the distillation of a year of market and product research efforts byVentana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the...
Read More
Topics:
Data Science,
Mobile Technology,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Digital Technology
I am happy to offer some insights on Looker drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. TheVentana Research Value Index: Analytics and Business Intelligence 2019is the distillation of a year of market and product research efforts byVentana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the...
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Topics:
Data Science,
Mobile Technology,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Digital Technology,
looker
I am happy to offer some insights on Tableau drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. TheVentana Research Value Index: Analytics and Business Intelligence 2019is the distillation of a year of market and product research efforts byVentana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the...
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Topics:
Data Science,
Tableau,
Mobile Technology,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Digital Technology
I am happy to offer some insights on Oracle drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. TheVentana Research Value Index: Analytics and Business Intelligence 2019is the distillation of a year of market and product research efforts byVentana Research. We utilized a structured research methodology that includes evaluationcategories designed to reflect the breadth of the...
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Topics:
Data Science,
Mobile Technology,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Digital Technology
I am happy to share some insights gleaned from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Embedded Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. Drawing on our benchmark research and expertise, we apply a structured research methodology built on evaluation categories that...
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Topics:
Mobile,
embedded analytics,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Digital Technology
I am happy to offer some insights on Salesforce.com drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. TheVentana Research Value Index: Analytics and Business Intelligence 2019is the distillation of a year of market and product research effortsby Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the...
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Topics:
Data Science,
Mobile Technology,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Digital Technology
I am happy to share some insights gleaned from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Mobile Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. Drawing on our benchmark research and expertise, we apply a structured research methodology built on evaluation categories that...
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Topics:
Mobile,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Digital Technology
For analytics to be effective, they need to be available to line-of-business personnel as needed in their normal course of conducting business, which today means providing rich mobile access to analytics through phones and tablets to support a mobile workforce seeking to conduct business in any location at any time. Workers today expect these mobile capabilities, which means organizations must make choices to provide analytics and BI platforms that can deliver them.
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Topics:
Mobile,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Digital Technology
I am happy to offer some insights on SAS drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world...
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Topics:
Data Science,
SAS,
Mobile Technology,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Digital Technology
I am happy to offer some insights on Yellowfin drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. TheVentana Research Value Index: Analytics and Business Intelligence 2019is the distillation of a year of market and product research efforts byVentana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the...
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Topics:
Data Science,
Mobile Technology,
business intelligence,
Analytics,
Cloud Computing,
Collaboration,
Yellowfin,
Digital Technology
I am happy to share some insight on Domo drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world...
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Topics:
Data Science,
Mobile Technology,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Domo,
Digital Technology
I am happy to offer some insights on SAP drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world...
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Topics:
Data Science,
SAP,
Mobile Technology,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Digital Technology
I am happy to share some insight on BOARD drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the...
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Topics:
Data Science,
Mobile Technology,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Digital Technology,
BOARD International
I am happy to share some insights on Infor based on our latest market Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the...
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Topics:
Data Science,
Mobile Technology,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Infor,
Digital Technology,
Infor Birst