ISG Software Research Analyst Perspectives

AI-Infused Data Management Is Still Evolving

Posted by Matt Aslett on 23 October 2025

I recently explained the significance of data management as an enabler of strategic adoption of artificial intelligence. Data management enables enterprises to ensure that data is valid, consistent and trusted for operational use cases and analytic decision-making. Large volumes of data are required to train models, making data management and data governance critical to AI. Data quality and data... Read More

Topics: Data Management, Generative AI, Data Intelligence, AI & Technologies

Salesforce Intention for Informatica Will Bolster AI and Data Efforts

Posted by Matt Aslett on 11 June 2025

I have previously explained how increased enterprise focus on artificial intelligence (AI) and agentic AI is a forcing function for enterprises to take long-overdue steps to improve data management and data governance. Data is integral to AI: large volumes of data are required to train models, while data freshness is important for inferencing in interactive applications and data quality is... Read More

Topics: Governance, Data Management, Generative AI, AI & Technologies, Agentic AI

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

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

Avoiding the Complexity and Cost of the Modern Data Stack

Posted by Matt Aslett on 19 December 2023

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... Read More

Topics: Analytics, Cloud Computing, Data Management, Data, Digital Technology, data operations, Analytics and Data, AI and Machine Learning

Oracle Evolves Database Services for Generative AI and Multi-Cloud

Posted by Matt Aslett on 13 December 2023

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... Read More

Topics: Analytics, Business Intelligence, Cloud Computing, Data Management, Data, Digital Technology, analytic data platforms, Analytics and Data

Boomi Promotes Business-Focused Integration Modernization

Posted by Matt Aslett on 29 November 2023

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... Read More

Topics: Cloud Computing, Data Governance, Data Management, Data, Digital Technology, Analytics and Data, AI and Machine Learning

Databricks Utilizes Unity Catalog to Support Generative AI Development

Posted by Matt Aslett on 17 October 2023

I previously described how Databricks had positioned its Lakehouse Platform as the basis for data engineering, data science and data warehousing. The lakehouse design pattern provides a flexible environment for storing and processing data from multiple enterprise applications and workloads for multiple use cases. I assert that by 2025, 8 in 10 current data lake adopters will invest in data... Read More

Topics: Analytics, Business Intelligence, Data Governance, Data Management, Data, Digital Technology, analytic data platforms, Analytics and Data, AI and Machine Learning

Cloudera Facilitates Versatility with Enterprise Data and AI

Posted by Matt Aslett on 03 October 2023

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,... Read More

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

Generative AI Boosts Value Creation with Outcome-Led Data Integration

Posted by Matt Aslett on 27 September 2023

Despite a focus on being data-driven, many organizations find that data and analytics projects fail to deliver on expectations. These initiatives can underwhelm for many reasons, because success requires a delicate balance of people, processes, information and technology. Small deviations from perfection in any of those factors can send projects off the rails. For data projects, placing too much... Read More

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

Microsoft Fabric Stitches Together Data and Analytics

Posted by Matt Aslett on 20 September 2023

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... Read More

Topics: Analytics, Business Intelligence, Cloud Computing, Data Governance, Data Management, Data, Digital Technology, analytic data platforms, Analytics and Data, AI and Machine Learning

Reversing the ETL Process Improves Data Operations

Posted by David Menninger on 19 September 2023

At one point, analytics and business intelligence were considered non-mission critical activities. One of the primary concerns in designing analytics systems was to ensure they didn’t interfere with or draw computing resources away from operational systems. But today, analytical systems are integral to many aspects of operations. More than 9 in 10 participants in our Analytics and Data Benchmark... Read More

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

Incorta Empowers Data Delivery and Analysis for Business

Posted by Matt Aslett on 07 September 2023

Organizations today have an ever-increasing appetite for platforms that improve the speed and efficiency of data analytics and business intelligence (BI). The ability to quickly process data enables organizations to make well-informed decisions in real time. This agile approach to data processing is crucial for staying ahead in today's competitive landscape. With the rising need for data-driven... Read More

Topics: Data Management, Data, data operations, analytic data platforms

Fivetran Automates Data Movement and Transformation

Posted by Matt Aslett on 29 June 2023

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... Read More

Topics: Cloud Computing, Data Management, Data, Digital Technology, data operations, Analytics and Data

How Data Observability and Data Quality Achieve Data Management

Posted by Matt Aslett on 27 June 2023

Maintaining data quality and trust is a perennial data management challenge, often preventing organizations from operating at the speed of business. Recent years have seen the emergence of data observability as a category of DataOps focused on monitoring the quality and reliability of data used for analytics and governance projects and associated data pipelines. There is clear overlap with data... Read More

Topics: Data Management, Data, data operations

CelerData Enables Real-Time Analytics for the Data Lakehouse

Posted by Matt Aslett on 21 June 2023

Organizations increasingly rely on real-time analytics to make informed decisions and stay competitive in today’s data-driven business landscape. As the complexity of data grows with the continuous addition of diverse sources, customers and workers alike expect real-time responsiveness. Accelerated query performance is crucial to process and extract valuable insights from data in a timely manner.... Read More

Topics: Data Management, Data, data operations, Streaming Data Events, analytic data platforms

SAP Datasphere Simplifies Management and Use of Distributed Data

Posted by Matt Aslett on 13 June 2023

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... Read More

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

Data is the Strategic Raw Material of Finance Departments

Posted by Robert Kugel on 07 June 2023

The Office of Finance can be compared to a numbers factory where the main raw material, data, is transformed into financial statements, management accounting, analyses, forecasts, budgets, regulatory filings, tax returns and all kinds of reports. Data is the strategic raw material of the finance and accounting department. It is the key ingredient in every sale and purchase as well as every... Read More

Topics: Office of Finance, embedded analytics, Analytics, Business Intelligence, Data Management, Business Planning, ERP and Continuous Accounting, data operations, analytic data platforms, AI and Machine Learning