ISG Software Research Analyst Perspectives

Domo Adds Context to Platform for Analytics and AI

Posted by Matt Aslett on 29 April 2026

I have recently written about the importance of context in relation to agentic artificial intelligence, including the growing use of Model Context Protocol to enable LLMs, agents and applications to communicate with data platforms, file systems and development and productivity tools, and the importance of semantic data modeling to provide agreed definitions that reflect the meaning of entities,... Read More

Topics: Operations, Analytics, Data Platforms, Generative AI, AI & Technologies

Five9 Bets on Integrations and Partners as the Path From CCaaS to CX

Posted by Keith Dawson on 11 March 2026

It’s clear that the buyer requirements for Contact-Center-as-a-Service (CCaaS) products have moved well beyond traditional notions of “cloud” or “omnichannel” and now focus on how well software providers can make artificial intelligence (AI) workflows real. The differentiation among CCaaS platforms is not so much about how well interactions are handled, but how the platforms embed within complex... Read More

Topics: Operations, Five9, automation, Contact Center, agent management, Customer Experience Management, CCaaS, Generative AI, Customers and CX - Business & Technologies, Workflow, ServiceNow, Salesforce

Alteryx Has a Unified Approach to Analytics and Data

Posted by Matt Aslett on 03 March 2026

Since Alteryx was acquired by Clearlake Capital and Insight Partners in March 2024, the company has taken the opportunity to revamp its product portfolio and refresh its executive team. Alteryx has always offered a combination of functionality that spans the data and analytics lifecycle, including data integration, data preparation and data quality, as well as the development of analytics... Read More

Topics: Operations, Analytics, Generative AI, AI & Technologies, AI & Machine Learning

Autonomy Is Key for Effective Sovereign AI and Data Strategies

Posted by Matt Aslett on 26 February 2026

The term “sovereign AI and data” became increasingly prevalent in recent years, initially driven by cloud infrastructure providers responding to the need to support regional regulations with sovereign cloud offerings. However, the use of sovereign cloud infrastructure is not required to deliver compliance with data sovereignty regulations. In fact, our research indicates that having the autonomy... Read More

Topics: Governance, Operations, Analytics, Data Platforms, Generative AI, IT & Technologies, AI & Technologies, Cloud Infrastructure, Platforms, AI & Machine Learning

Assessing Organizational Approaches to Data and Analytics

Posted by Matt Aslett on 03 February 2026

I previously stated that too many enterprises allow the IT department to be wholly responsible for data and analytics, with the risk that strategies become divorced from business objectives and KPIs. I also stated that a pragmatic approach to organizing and operating data, analytics and artificial intelligence (AI) initiatives is essential to treating data as a business discipline. There are... Read More

Topics: Governance, Operations, Analytics, Data Platforms, Generative AI, Data Intelligence, AI & Technologies, Streaming & Events, AI & Machine Learning

Actian Combines Data Intelligence and Observability

Posted by Matt Aslett on 20 January 2026

I previously described data intelligence as fundamental to providing data analysts and business users with governed self-service access to data across an enterprise by delivering information about how data is produced and consumed across the organization. Data intelligence relies on a combination of technical and business metadata and functionality for knowledge graph, data inventory, data... Read More

Topics: Governance, Operations, Data Platforms, Generative AI, Data Intelligence, AI & Technologies, AI & Machine Learning

The Evolution of AI for Data Operations

Posted by Matt Aslett on 23 December 2025

ISG recently published the 2025 ISG Buyers Guides for DataOps, providing an assessment of 51 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 generated three reports and five quadrants assessing providers in relation to overall DataOps, Data... Read More

Topics: Operations, Generative AI, AI & Technologies, AI and Machine Learning

SAP Business Data Cloud Addresses Intelligent Data Products

Posted by Matt Aslett on 11 December 2025

A little over two years ago, I observed that the pendulum of fashion in the data management sector was swinging away from multiple best-of-breed tools and toward consolidated platforms. Enterprise software portfolios take time to evolve, but the trend toward consolidation has clearly been evident in the product strategies of large data management providers since then. Many providers have combined... Read More

Topics: Governance, Operations, Analytics, Data Platforms, Generative AI, Data Intelligence, AI & Technologies, AI and Machine Learning

DataOps.live Enables Data Engineering Acceleration

Posted by Matt Aslett on 26 November 2025

I have previously written about the critical importance of data management to the development of artificial intelligence (AI) applications and agentic AI. The importance of data management is nothing new, but automation of business processes and decision-making raises the stakes in terms of the expectations and the risks. The need for enterprises to have trust in their data governance and data... Read More

Topics: Governance, Operations, Data Platforms, Generative AI, AI & Technologies, AI and Machine Learning

Why Data Software Providers Are Embracing Model Context Protocol

Posted by Matt Aslett on 19 November 2025

I have written several times this year about Model Context Protocol (MCP) and its importance in enabling agentic artificial intelligence (AI) use cases. Numerous data platform, data management, data operations and real-time data software providers have added support for MCP to their products in recent months. MCP has become so ubiquitous, in fact, that it is easy to forget the protocol was only... Read More

Topics: Governance, Operations, Analytics, Data Platforms, Generative AI, Data Intelligence, AI & Technologies, AI and Machine Learning, Streaming & Events

Tokenizing Working Capital to Improve Performance and Efficiency

Posted by Robert Kugel on 13 November 2025

Tokenization is an emerging topic for business software providers. Tokenization is the process of representing something valuable or complex with a simple computer-readable substitute to enhance security or improve the efficiency and usability of a system. Tokens are already widely used in commerce. It’s now common for sensitive data used in a transaction, such as a bank account number or credit... Read More

Topics: Governance, Office of Finance, Operations, Analytics, ERP and Continuous Accounting, digital finance, Procure-to-Pay, Generative AI, AI and Machine Learning, Order-to-Cash, Business & Technologies

The Evolving Data Product Platform Landscape

Posted by Matt Aslett on 23 September 2025

The emergence of natural language analytics interfaces driven by generative artificial intelligence (GenAI) models has accelerated enterprise initiatives to enable data democratization—making data available to business decision-makers without the need to train them to use business intelligence (BI) tools. It has also heightened the need for agreed semantic models and business metrics, as well as... Read More

Topics: Operations, Data Intelligence, AI & Technologies

Nextdata Provides a Platform for Distributed Data

Posted by Matt Aslett on 11 September 2025

I previously described data mesh as a cultural and organizational approach to distributed data ownership, access and governance, rather than a product that could be acquired or even a technical architecture that could be built. While that remains true, many data management software providers have adapted their products in recent years to address the four key principles of data mesh:... Read More

Topics: Operations, Data Intelligence, AI & Technologies

IBM Enhances Data Intelligence and Data Integration

Posted by Matt Aslett on 02 September 2025

I previously wrote about IBM’s strategy of consolidating analytics, data and artificial intelligence (AI) functionality from various products under its watsonx brand, which was launched in 2023 to address the AI development life cycle, as well as data storage processing and AI governance. The company has added two more offerings to its watsonx portfolio in recent months, combining established... Read More

Topics: Governance, Operations, Analytics, Data Platforms, Data Intelligence, AI & Technologies, AI and Machine Learning

Approaches to Data as a Business Discipline for AI

Posted by Matt Aslett on 27 August 2025

The IT department of any enterprise is integral to implementing and managing the execution of its data objectives, just as the finance department is integral to implementing and managing financial objectives. Few enterprises would allow the finance department complete autonomy to define financial strategies; however, too many enterprises allow the IT department to define data strategies. Treating... Read More

Topics: Governance, Operations, Analytics, Data Intelligence, AI & Technologies, AI and Machine Learning

IT Is at the Heart of the AI-Enabled Economy

Posted by Jeff Orr on 26 August 2025

Artificial intelligence (AI) is no longer a futuristic concept but a current reality, and enterprise leaders are recognizing its profound impact on the IT sector. The development and deployment of AI-driven applications across various industries hinge on a robust IT infrastructure and skilled expertise. The words of industry leaders reinforce this sentiment: Amazon's CEO Andy Jassy indicates that... Read More

Topics: GRC, Operations, Learning Management, Business Planning, Cybersecurity, Generative AI, IT & Technologies, AI and Machine Learning, IT Management, Skills Gap, Bias, Risk Management

Intelligent Automation: ServiceNow’s AI Agent Workflows at Knowledge ’25

Posted by Jeff Orr on 19 August 2025

As we stand precariously at the intersection of technology and business strategy, ServiceNow’s Knowledge ’25 conference unveiled “the art of the possible” for what service automation can mean in our efficiency-seeking world. ServiceNow has long been a champion of transforming the mundane into the extraordinary, and in the era of AI, it aims to harness the potential of intelligent automation. The... Read More

Topics: Operations, Generative AI, Intelligent Automation, IT & Technologies, AgenticAI, IT Management, ADM & DevOps, Platforms, Workflow, Control Tower

Boomi Enables Data Management and Agentic AI

Posted by Matt Aslett on 03 July 2025

One of the key questions that will need to be solved if agentic artificial intelligence is to fulfill its potential is which technologies and providers will serve the role of orchestrating communication and integration between the various models, applications and data repositories involved. ISG Research defines agentic AI as software designed to execute business processes through autonomous... Read More

Topics: Governance, Operations, AI, Generative AI, Data Intelligence, AI & Technologies, AI and Machine Learning

The Unreasonable Effectiveness of Data Management

Posted by Matt Aslett on 01 July 2025

If a single phrase could sum up the big data craze of a dozen or so years ago, it would be “more data beats better algorithms.” Attributed to Google research director Peter Norvig, the quote effectively summarized a research paper Norvig jointly authored called The Unreasonable Effectiveness of Data and was embraced by big data enthusiasts as articulating the prevalent thinking that enterprises... Read More

Topics: Operations, AI, Data Intelligence, AI & Technologies, AI and Machine Learning

Data Lakehouses Enable Data as a Product

Posted by Matt Aslett on 17 June 2025

I have previously described how data as a product was initially closely aligned with data mesh, a cultural and organizational approach to distributed data processing. As a result of data mesh’s association with distributed data, many assumed that the concept was diametrically opposed to the data lake, which offered a platform for combining large volumes of data from multiple data sources. That... Read More

Topics: Operations, Data Platforms, Data Intelligence, AI & Technologies