ISG Software Research Analyst Perspectives | AI and Machine Learning (8)

Anaplan at a Crossroads

Posted by Robert Kugel on 10 August 2022

Anaplan offers a cloud-based business planning platform that incorporates a modeling and calculation engine. The tool makes it relatively easy to add or expand the scope of plans that can be connected and monitored on a single platform. This Integrated Business Planning (IBP) approach enables organizations to use the software for financial planning or budgeting, sales, supply chain, workforce,... Read More

Topics: Office of Finance, Continuous Planning, Business Intelligence, Business Planning, Financial Performance Management, continuous supply chain, AI and Machine Learning

Neo4j Expands Data Science Focus with New Managed Service

Posted by Matt Aslett on 03 August 2022

I recently explained how emerging application requirements were expanding the range of use cases for NoSQL databases, increasing adoption based on the availability of enhanced functionality. These intelligent applications require a close relationship between operational data platforms and the output of data science and machine learning projects. This ensures that machine learning and predictive... Read More

Topics: Business Intelligence, Data, analytic data platforms, AI and Machine Learning

Expanding the Analytics Continuum: From Analysis to Action

Posted by David Menninger on 02 August 2022

I often use the term “analytics” to refer to a broad set of capabilities, deliberately broader than business intelligence. In this Perspective, I’d like to share what decision-makers should consider as they evaluate the range of analytics requirements for their organization. The analytics continuum comprises the many types of analyses organizations perform, including reporting, visualization,... Read More

Topics: Business Intelligence, natural language processing, Streaming Analytics, Analytics and Data, AI and Machine Learning

Tableau Brings Business Intelligence to Business Users

Posted by David Menninger on 26 July 2022

Organizations are collecting vast amounts of data every day, utilizing business intelligence software and data visualization to gain insights and identify patterns and errors in the data. Making sense of these patterns can enable an organization to gain an edge in the marketplace and plan more strategically. Tableau is a data visualization software company, acquired by Salesforce in 2019, that... Read More

Topics: embedded analytics, Analytics, Business Intelligence, AI and Machine Learning

Data-Driven Agenda for Organizations

Posted by Matt Aslett on 21 July 2022

When joining Ventana Research, I noted that the need to be more data-driven has become a mantra among large and small organizations alike. Data-driven organizations stand to gain competitive advantage, responding faster to worker and customer demands for more innovative, data-rich applications and personalized experiences. Being data-driven is clearly something to aspire to. However, it is also a... Read More

Topics: embedded analytics, Analytics, Business Intelligence, Data Governance, Data Integration, Data, Digital Technology, natural language processing, data lakes, data operations, Streaming Analytics, Streaming Data Events, Analytics and Data, AI and Machine Learning

OneStream’s Sensible ML Tasks AI for Business Planning

Posted by Robert Kugel on 15 July 2022

OneStream offers a platform designed to serve the needs of accounting and financial planning and analysis organizations. The software handles financial close and consolidation, planning and budgeting, analysis and reporting. For me, the most significant announcement at the company’s recent user conference was the unveiling of its Sensible ML (Machine Learning) offering, which is in limited... Read More

Topics: Business Planning, Financial Performance Management, ERP and Continuous Accounting, AI and Machine Learning

TigerGraph Promotes Graph Database for Data Science with ML Workbench

Posted by Matt Aslett on 14 July 2022

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... Read More

Topics: business intelligence, Analytics, Cloud Computing, Data, Digital Technology, Analytics and Data, AI and Machine Learning

A Data Pantry Speeds Development of Machine Learning Models

Posted by Robert Kugel on 12 July 2022

A few years ago – somewhat tongue in cheek – I began using the term “data pantry” to describe a type of data store that’s part of a business application platform, created for a specific set of users and use cases. It’s a data pantry because, unlike a general-purpose data store such as a data warehouse, everything the user needs is readily available and easily accessible, with labels that are... Read More

Topics: Data Management, Business Planning, Financial Performance Management, ERP and Continuous Accounting, AI and Machine Learning

Zoho Unifies Data and Analytics

Posted by David Menninger on 07 July 2022

Organizations are continuously increasing the use of analytics and business intelligence to turn data into meaningful and actionable insights. Our Analytics and Data Benchmark Research shows some of the benefits of using analytics: Improved efficiency in business processes, improved communication and gaining a competitive edge in the market top the list. With a unified BI system, organizations... Read More

Topics: business intelligence, embedded analytics, Data Governance, Data Management, natural language processing, data operations, Streaming Analytics, AI and Machine Learning

Ahana Offers Managed-Services Approach to Simplify Presto Adoption

Posted by Matt Aslett on 29 June 2022

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... Read More

Topics: Analytics, Business Intelligence, Cloud Computing, Data, Digital Technology, data lakes, data operations, Analytics and Data, AI and Machine Learning

Semantic Models Benefit Analytical Processes

Posted by David Menninger on 28 June 2022

I’ve never been a fan of talking about semantic models because most of the workforce probably doesn’t understand what they are, or doesn’t recognize them by name. But the findings in our recent Analytics and Data Benchmark Research have changed my mind. The research shows how important a semantic model can be to the success of data and analytics processes. Organizations that have successfully... Read More

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

AI Will Create Strategic Advantage for the Office of Finance

Posted by Robert Kugel on 24 June 2022

Artificial intelligence using machine learning has passed through the bright, shiny object stage and software vendors are well into the process of making the concept a reality in their offerings. Ventana Research defines AI as the use of technology to process information in much the way humans do, including improving accuracy in recommendations, actions and conclusions as more data is received. I... Read More

Topics: Planning, Machine Learning, Budgeting, Business Planning, Financial Performance Management, forecasting, AI and Machine Learning

Disentangling and Demystifying Data Mesh and Data Fabric

Posted by Matt Aslett on 02 June 2022

I recently wrote about the potential benefits of data mesh. As I noted, data mesh is not a product that can be acquired, or even a technical architecture that can be built. It’s an organizational and cultural approach to data ownership, access and governance. While the concept of data mesh is agnostic to the technology used to implement it, technology is clearly an enabler for data mesh. For many... Read More

Topics: Analytics, Business Intelligence, Data Governance, Data Integration, Data, data operations, Streaming Data Events, AI and Machine Learning

SingleStore Positions Hybrid Data Processing for Data Intensity

Posted by Matt Aslett on 25 May 2022

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... Read More

Topics: Analytics, Business Intelligence, Cloud Computing, Data, Digital Technology, Analytics and Data, AI and Machine Learning

Data and Analytics Processes: Can We Get Personal?

Posted by David Menninger on 24 May 2022

There is a fundamental flaw in information technology, or at least in the way it is most commonly delivered. Most technology systems are developed under the assumption that all people will use the system primarily in the same way. Sure, there are some options built in — perhaps the same action can be initiated by either clicking on a button, selecting a menu item or invoking a keyboard short-cut.... Read More

Topics: Business Intelligence, Data Management, natural language processing, data operations, Analytics and Data, AI and Machine Learning

Oracle Positions to Address Any and All Data Platform Needs

Posted by Matt Aslett on 05 May 2022

I recently described how the operational data platforms sector is in a state of flux. There are multiple trends at play, including the increasing need for hybrid and multicloud data platforms, the evolution of NoSQL database functionality and applicable use-cases, and the drivers for hybrid data processing. The past decade has seen significant change in the emergence of new vendors, data models... Read More

Topics: business intelligence, Analytics, Data Integration, Data, AI and Machine Learning

Denodo Advancing Data Virtualization in the Cloud

Posted by David Menninger on 28 April 2022

Organizations have been using data virtualization to collect and integrate data from various sources, and in different formats, to create a single source of truth without redundancy or overlap, thus improving and accelerating decision-making giving them a competitive advantage in the market. Our research shows that data virtualization is popular in the big data world. One-quarter (27%) of... Read More

Topics: embedded analytics, Analytics, Business Intelligence, Streaming Analytics, AI and Machine Learning

Real-Time Data Processing Requires More Agile Data Pipelines

Posted by Matt Aslett on 26 April 2022

I recently wrote about the importance of data pipelines and the role they play in transporting data between the stages of data processing and analytics. Healthy data pipelines are necessary to ensure data is integrated and processed in the sequence required to generate business intelligence. The concept of the data pipeline is nothing new of course, but it is becoming increasingly important as... Read More

Topics: Analytics, Business Intelligence, Data Governance, Data Integration, Data, Digital Technology, Digital transformation, data lakes, data operations, Streaming Data Events, Analytics and Data, AI and Machine Learning

Don’t Rely on Dashboards for Real-Time Analytics

Posted by David Menninger on 31 March 2022

I have written previously that the world of data and analytics will become more and more centered around real-time, streaming data. Data is created constantly and increasingly is being collected simultaneously. Technology advances now enable organizations to process and analyze information as it is being collected to respond in real time to opportunities and threats. Not all use cases require... Read More

Topics: business intelligence, Analytics, Internet of Things, Data, Digital Technology, Streaming Analytics, Streaming Data Events, Analytics and Data, AI and Machine Learning

Working Across the Aisle in Analytics: Involving IT and LOB

Posted by David Menninger on 23 March 2022

For years, maybe decades, we have heard about the struggles between IT and line-of-business functions. In this perspective, we will look at some of the data from our Analytics and Data Benchmark Research about the roles of IT and line-of-business teams in analytics and data processes. We will also look at some of the disconnects between these two groups. And, by looking at how organizations are... Read More

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