ISG Software Research Analyst Perspectives

Alteryx Refines AI Platform for Analytics

Posted by Matt Aslett on 13 March 2025

Increased enterprise focus on artificial intelligence (AI) and generative AI (GenAI) has served to sharpen the focus on the need for trusted data and reliable analytics and data operations. The ISG State of Generative AI Market Report highlighted that elevated expectations and demands associated with AI are a forcing function for enterprises to take long-overdue steps to improve data and... Read More

Topics: Analytics, AI, data operations, Analytics and Data

DataOps: Software for Operations and AI

Posted by Matt Aslett on 27 February 2025

Late 2024 saw the publication of the 2024 ISG Buyers Guides for DataOps, providing an assessment of 49 software providers offering products used by data engineers, data scientists, and data and AI professionals to facilitate the use of data for analytics and AI needs. The DataOps Buyers Guide research includes five reports which are focused on overall DataOps, Data Observability, Data... Read More

Topics: Analytics, data operations, Analytics and Data

Bigeye Enable Monitoring, Quality and Lineage of Data

Posted by Matt Aslett on 20 November 2024

I previously explained that data observability software has become a critical component of data-driven decision-making. Data observability addresses one of the most significant impediments to generating value from data by providing an environment for monitoring the quality and reliability of data on a continual basis. Maintaining quality and trust is a perennial data management challenge, the... Read More

Topics: AI, data operations, Analytics and Data

Capital One Offers Cost Controls for Cloud Data Warehouses

Posted by Matt Aslett on 07 November 2024

The adoption of cloud environments for analytic workloads has been a key feature of the data platforms sector in recent years. For two-thirds (66%) of participants in ISG’s Data Lake Dynamic Insights Research, the primary data platform used for analytics is cloud based. Many enterprises adopted cloud-based analytic data platforms with a view to improving operational efficiencies by reducing the... Read More

Topics: data operations, Analytics and Data

Data as a Product: Needs and Requirements

Posted by Matt Aslett on 02 October 2024

I previously wrote about data mesh as a cultural and organizational approach to distributed data processing. Data mesh has four key principles—domain-oriented ownership, data as a product, self-serve data infrastructure and federated governance—each of which is being widely adopted. I assert that by 2027, more than 6 in 10 enterprises will adopt technologies to facilitate the delivery of data as... Read More

Topics: data operations, Analytics and Data

Monte Carlo Addresses Performance as a Measure of Data Reliability

Posted by Matt Aslett on 27 June 2024

I recently wrote about the role data observability plays in generating value from data by providing an environment for monitoring its quality and reliability. Data observability is a critical functional aspect of Data Operations, alongside the development, testing and deployment of data pipelines and data orchestration, as I explained in our Data Observability Buyers Guide. Maintaining data... Read More

Topics: data operations, Analytics and Data

Data Operations Improves Trust in Data for Analytics and AI

Posted by Matt Aslett on 12 June 2024

Enterprises are embracing the potential for artificial intelligence (AI) to deliver improvements in productivity and efficiency. As they move from initial pilots and trial projects to deployment into production at scale, many are realizing the importance of agile and responsive data processes, as well as tools and platforms that facilitate data management, with the goal of improving trust in the... Read More

Topics: data operations, Analytics and Data, AI and Machine Learning

Data Observability Improves Trust in Data for Decision-Making

Posted by Matt Aslett on 22 May 2024

I recently wrote about the development, testing and deployment of data pipelines as a fundamental accelerator of data-driven strategies as well as the importance of data orchestration to accelerate analytics and artificial intelligence. As I explained in the recent Data Observability Buyers Guide, data observability software is also a critical aspect of data-driven decision-making. Data... Read More

Topics: Analytics, data operations, Analytics and Data, AI and Machine Learning

Data Orchestration Automates and Accelerates Analytics and AI

Posted by Matt Aslett on 24 April 2024

I recently wrote about the development, testing and deployment of data pipelines as a fundamental accelerator of data-driven strategies. As I explained in the 2023 Data Orchestration Buyers Guide, today’s analytics environments require agile data pipelines that can traverse multiple data-processing locations and evolve with business needs. Given the increasing complexity of evolving data sources... Read More

Topics: Analytics, data operations, Analytics and Data, AI and Machine Learning

Navigating the Enterprise IT Ops Labyrinth

Posted by Jeff Orr on 10 April 2024

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. Mergers and... Read More

Topics: Analytics, Cloud Computing, Digital Technology, data operations, Analytic Operations, AIOps

DataOps.live Enables the Development of Data Products

Posted by Matt Aslett on 10 April 2024

I wrote recently about the role that data intelligence has in enabling enterprises to facilitate data democratization and the delivery of data as a product. Data intelligence provides a holistic view of how, when, and why data is produced and consumed across an enterprise, and by whom. This information can be used by data teams to ensure business users and data analysts are provided with... Read More

Topics: Analytics, Data Ops, data operations, Analytics and Data, AI and Machine Learning

AI Innovations in Data and Analytics at SAP

Posted by David Menninger on 09 April 2024

Data and analytics have become increasingly important to all aspects of business. The modern data and analytics stack includes many components, which creates challenges for enterprises and software providers alike. As my colleague Matt Aslett points out, a better term might be modern data and analytics smorgasbord. There are arguments for and against using an assortment of tools versus a... Read More

Topics: Analytics, AI, data operations, Analytics and Data

Data Pipelines Integrate Data Processing and Enable AI

Posted by Matt Aslett on 02 April 2024

The development, testing and deployment of data pipelines is a fundamental accelerator of data-driven strategies, enabling enterprises to extract data from the operational applications and data platforms designed to run the business and load, integrate and transform it into the analytic data platforms and tools used to analyze the business. As I explained in our recent Data Pipelines Buyers... Read More

Topics: Analytics, data operations, Analytics and Data, AI and Machine Learning

Data Intelligence: Fundamental to Data Architecture

Posted by Matt Aslett on 27 March 2024

As enterprises seek to increase data-driven decision-making, many are investing in strategic data democratization initiatives to provide business users and data analysts with self-service access to data across the enterprise. Such access has long been a goal of many enterprises, but few have achieved it. Only 15% of participants in Ventana Research’s Analytics and Data Benchmark Research say... Read More

Topics: Analytics, data operations, Analytics and Data, AI and Machine Learning

Planning to Get Ahead of What’s Next in the 21st Century

Posted by Robert Kugel on 22 February 2024

We live in an era of uncertainty, not unpredictability. Managing in uncertain times is always difficult, but tools are available to improve the odds for success by making it easier and faster to plan for contingencies and scenarios. Software makes it possible to manage ahead of any future event, connecting the tactical trees to the strategic forest. The purpose of planning is not just to create a... Read More

Topics: Office of Finance, Continuous Planning, Data Management, Business Planning, data operations, AI and Machine Learning

Explore Wide-Column Stores for Database Flexibility

Posted by Matt Aslett on 07 February 2024

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... Read More

Topics: Data, data operations

Keebo Automates Cloud Data Warehouse Optimization

Posted by Matt Aslett on 31 January 2024

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... Read More

Topics: business intelligence, Cloud Computing, data operations, robotic automation, analytic data platforms, Analytics and Data, AI and Machine Learning

2024 Market Agenda for Analytics and Data: Automating Intelligence

Posted by Matt Aslett on 26 January 2024

Ventana Research recently announced its 2024 Market Agenda for Analytics and Data, continuing the guidance we have offered for two decades to help enterprises derive optimal value and improve business outcomes. Enterprises of all sizes in all industries and geographies strive to improve efficiency, productivity and customer experiences through analytics and data. Doing so relies on the ability to... Read More

Topics: embedded analytics, Analytics, Business Intelligence, Data Governance, Data Management, natural language processing, data operations, Process Mining, Streaming Analytics, Streaming Data Events, analytic data platforms, Analytics and Data

Actian Accelerates Insight with Unified Cloud Data Platform

Posted by Matt Aslett on 10 January 2024

As articulated in Ventana Research’s Data Platforms Buyer’s Guide and DataOps Buyer’s Guide research, the combination of cloud computing and advanced analytics has lowered the cost of storing and processing large volumes of data, accelerating the emergence of new data platform and data operations products that enable organizations to gain operational efficiency and competitive advantage. The... Read More

Topics: Data Management, Data, Digital Technology, data operations, analytic data platforms, Analytics and Data

Explorium Facilitates the Use of External Data for Analytics and AI

Posted by Matt Aslett on 03 January 2024

The phrase ‘big data’ may have largely gone out of fashion, but the concept of storing and processing all relevant data continues to be important for enterprises seeking to be more data-driven. Doing so requires analytic data platforms capable of storing and processing data in multiple formats and data models. This will be an important focus for the forthcoming Data Platforms Buyer’s Guide 2024.... Read More

Topics: Analytics, Business Intelligence, Data Management, Data, Digital Technology, data operations, Analytics and Data, AI and Machine Learning