ISG Software Research Analyst Perspectives

Fauna’s Data Platform Combines Agility and Transaction Integrity

Posted by Matt Aslett on 16 October 2024

As I noted in the 2024 Buyers Guide for Operational Data Platforms, intelligent applications powered by artificial intelligence have impacted the requirements for operational data platforms. These applications, infused with contextually relevant recommendations, predictions and forecasting, are driven by machine learning and generative AI. Traditionally, operational data platforms support... Read More

Topics: Analytics and Data

Collibra Provides a Platform for Data Intelligence

Posted by Matt Aslett on 08 October 2024

As I recently noted, the term “data intelligence” has been used by multiple providers across analytics and data for several years and is becoming more widespread as software providers respond to the need to provide enterprises with a holistic view of data production and consumption. I assert that through 2027, three-quarters of enterprises will be engaged in data intelligence initiatives to... Read More

Topics: 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

Snowflake Offers a Platform for AI as well as Data

Posted by Matt Aslett on 19 September 2024

As I explained in our recent Buyers Guide for Data Platforms, the popularization of generative artificial intelligence (GenAI) has had a significant impact on the requirements for data platforms in the last 18 months. While there is an ongoing need for data platforms to support data warehousing workloads involving analytic reports and dashboards, there is increasing demand for analytic data... Read More

Topics: Analytics, natural language processing, AI and Machine Learning

Harness Events to Process Data at the Speed of Business

Posted by Matt Aslett on 17 September 2024

The final of the men’s 100 meters at the Paris Olympics this summer was a reminder that being successful requires not just being fast but performing at the right time. Being fast is obviously a prerequisite for participating in an Olympic 100-meter final, and all the competitors finished the race in under 10 seconds, with just 0.12 seconds separating the first man from the last. While all the... Read More

Topics: Streaming Data Events, Analytics and Data

IBM Provides Architectural Choice for Data Platforms

Posted by Matt Aslett on 27 August 2024

Enterprises face a bewildering level of choice in relation to data platforms, as evidenced by the number of software providers and products assessed in our recent Data Platforms Buyers Guide. There are numerous data platform providers and products to choose from, but also a diverse array of functional and architectural options. Is the workload primarily operational or analytic? Will it be... Read More

Topics: Analytics and Data, AI and Machine Learning

Confluent Enables Enterprises to Operate in Real Time

Posted by Matt Aslett on 14 August 2024

I have written on multiple occasions about the increasing proportion of enterprises embracing the processing of streaming data and events alongside traditional batch-based data processing. I assert that, by 2026, more than three-quarters of enterprises’ standard information architectures will include streaming data and event processing, allowing enterprises to be more responsive and provide... Read More

Topics: Streaming Data Events, Analytics and Data, AI and Machine Learning

The Evolving Strategic Needs for Successful AI and ML

Posted by Matt Aslett on 30 July 2024

The artificial intelligence and machine learning landscape was profoundly altered by the emergence of generative AI into the mainstream consciousness during 2023. The widespread availability of GenAI models and cloud services has lowered the barriers to individuals and enterprises engaging with AI for various use cases, including generating content, querying data, writing code, preparing data for... Read More

Topics: Analytics and Data, AI and Machine Learning

The Buyers Guides for Data Platforms Classifies and Rates Software Providers

Posted by Matt Aslett on 18 July 2024

I am happy to share insights gleaned from our latest Buyers Guide, an assessment of how well software providers’ offerings meet buyers’ requirements. The Data Platforms Ventana Research Buyers Guide is the distillation of a year of market and product research by ISG and Ventana Research. Data platforms provide an environment for organizing and managing the storage, processing, analysis, and... Read More

Topics: analytic data platforms, Analytics and Data

Solace Shines for Event-Driven Integration

Posted by Matt Aslett on 16 July 2024

I previously wrote about the ongoing importance of event brokers and event management in enabling enterprises to adopt event-driven architecture and event stream processing. Many enterprises adopt EDA as the design pattern for maximizing events to deliver real-time business processes. There are many advantages to using EDA, including a cultural shift away from batch processing towards real-time... Read More

Topics: Streaming Data Events, Analytics and Data

Boomi Offers Innovation in API and AI

Posted by Matt Aslett on 10 July 2024

I previously wrote about the potential for generative artificial intelligence technology to enhance the integration sector by facilitating outcome-driven approaches for automatically generating integration pipelines in response to declared business requirements. The use of GenAI in data and application integration remains nascent, but multiple software providers are embracing the potential for... Read More

Topics: 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

Google Advances Cloud Data Platforms and Analytics Services with GenAI

Posted by Matt Aslett on 05 June 2024

The emergence of generative artificial intelligence (GenAI) has significant implications at all levels of the technology stack, not least analytics and data products, which serve to support the development, training and deployment of GenAI models, and also stand to benefit from the advances in automation enabled by GenAI. The intersection of analytics and data and GenAI was a significant focus of... Read More

Topics: Analytics, AI, natural language processing, 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

Dremio Enables Self-Service Analytics for the Data Lakehouse

Posted by Matt Aslett on 15 May 2024

I previously wrote about the potential for rapid adoption of the data lakehouse concept as enterprises combined the benefits of data lakes based on low-cost cloud object storage with the structured data processing functionality normally associated with data warehousing. By layering support for table formats, metadata management and transactional updates and deletes as well as query engine and... Read More

Topics: Analytics, Analytics and Data

Wiiisdom Improves Trust in Data With Analytics Testing and Governance

Posted by Matt Aslett on 08 May 2024

Many organizations have adopted DataOps to apply agile development, DevOps and lean manufacturing processes to the development, testing, deployment and orchestration of data integration and processing pipelines. The most likely ultimate outcome of these pipelines is the analytics reports and dashboards enterprises rely on to make business decisions. However, as my colleague David Menninger... Read More

Topics: Analytics, Analytics and Data

GenAI has the Potential to Change the Face of Analytics

Posted by Matt Aslett on 30 April 2024

Analytics software is used by business analysts and decision-makers to facilitate the generation of insights from data. It encompasses business intelligence and decision intelligence software, including reports and dashboards as well as embedded analytics and the development of intelligent applications infused with the results of analytic processes. Analytics software enables enterprises to... Read More

Topics: Analytics, AI, Analytics and Data

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

Stibo Systems Facilitates Trust in Data With AI-Driven MDM

Posted by Matt Aslett on 16 April 2024

I previously explained how master data management helps provide trust in data, making it one of the most significant aspects of an enterprise’s strategic approach to data management. More recently, I discussed how it has a role to play in accelerating data democratization as part of data intelligence initiatives. Along with data quality, MDM enables organizations to ensure data is accurate,... Read More

Topics: Product Information Management, Operations & Supply Chain, Analytics and Data