ISG Software Research Analyst Perspectives

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...

Pyramid Analytics Expands Decision Intelligence Across the Organization

Posted by Mark Smith on 30 December 2022

In today’s organization, the myriad of analytics and permutations of dashboards challenge workers’ ability to take contextual actions efficiently. Unfortunately, conventional wisdom for investing in analytics does not recognize the benefits of empowering the workforce to understand the situation, examine options and work together to make the best possible decision.

The Data Catalog is Indispensable for Good Data Governance

Posted by Matt Aslett on 21 September 2022

The data catalog has become an integral component of organizational data strategies over the past decade, serving as a conduit for good data governance and facilitating self-service analytics initiatives. The data catalog has become so important, in fact, that it is easy to forget that just 10 years ago it did not exist in terms of a standalone product category. Metadata-based data management...

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...

Dremio Embraces Data Lakehouse with Cloud Launch

Posted by Matt Aslett on 24 June 2022

I previously explained how the data lakehouse is one of two primary approaches being adopted to deliver what I have called a hydroanalytic data platform. Hydroanalytics involves the combination of data warehouse and data lake functionality to enable and accelerate analysis of data in cloud storage services. The term data lakehouse has been rapidly adopted by several vendors in recent years to...

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...

Improving the State of Analytics in Organizations

Posted by David Menninger on 24 February 2022

Despite all the advances organizations have made with respect to analytics, our most recent research shows the majority of the workforce in the majority of organizations are not using analytics and business intelligence (BI). Less than one-quarter (23%) report that one-half or more of their workforce is using analytics and BI. This is a problem. It means organizations are not enabling their...

Data Platforms Landscape Divided Between Analytic and Operational

Posted by Matt Aslett on 14 December 2021

As I noted when joining Ventana Research, the range of options faced by organizations in relation to data processing and analytics can be bewildering. When it comes to data platforms, however, there is one fundamental consideration that comes before all others: Is the workload primarily operational or analytic? Although most database products can be used for operational or analytic workloads, the...

Analytic Ops: The Last Mile of Data Ops

Posted by David Menninger on 24 November 2021

Organizations have become more agile and responsive, in part, as a result of being more agile with their information technology. Adopting a DevOps approach to application deployment has allowed organizations to deploy new and revised applications more quickly. DataOps is enabling organizations to be more agile in their data processes. As organizations are embracing artificial intelligence (AI)...

Sisu Optimizes Analytics with Machine Learning for Actions & Decisions

Posted by David Menninger on 23 September 2021

Sisu Data is an analytics platform for structured data that uses machine learning and statistical analysis to automatically monitor changes in data sets and surface explanations. It can prioritize facts based on their impact and provide a detailed, interpretable context to refine and support conclusions. The product features fact boards, annotations and the ability to share facts and analysis...

The Market and Value Index for Collaborative Analytics and Data

Posted by David Menninger on 23 July 2021

I am happy to share insights gleaned from our latest Value Index research, an assessment of how well vendors’ offerings meet buyers’ requirements. The 2021 Ventana Research Value Index: Collaborative Analytics and Data is the distillation of a year of market and product research by Ventana Research. See our prior post for a description of our methodology and included vendors.

The Value Index for Vendors Providing Analytics and Data on Mobile Devices

Posted by David Menninger on 19 July 2021

I am happy to share insights gleaned from our latest Value Index research, an assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Mobile Analytics and Data 2021 is the distillation of a year of market and product research by Ventana Research. See our prior post for a description of our methodology and which vendors are included.

TIBCO Rated with Merit in 2021 Value Index in Analytics and Data

Posted by David Menninger on 09 July 2021

We are happy to share some insights about TIBCO Spotfire drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

Sisense is Vendor of Merit for Analytics and Data Value Index

Posted by David Menninger on 08 July 2021

We are happy to share some insights about Sisense drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

Infor Gets Assurance Rating for Analytics and Data Value Index

Posted by David Menninger on 07 July 2021

We are happy to share some insights about Infor Birst drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

SAP Excels in Value Index for Analytics with its Customer Experience

Posted by David Menninger on 22 June 2021

We are happy to share some insights about SAP drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

Qlik is Exemplary and Value Index Leader in Customer Experience for 2021 Value Index for Analytics and Data

Posted by David Menninger on 08 June 2021

We are happy to share some insights about Qlik drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

TIBCO Information Builders is Named an Innovative Vendor in 2021 Value Index

Posted by David Menninger on 04 June 2021

We are happy to share some insights about Information Builders’ WebFOCUS Business Intelligence and Analytics Platform drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

MicroStrategy Earns Value Index Rating of Exemplary in Analytics and Data

Posted by David Menninger on 03 June 2021

We are happy to share some insights about MicroStrategy drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

Dataiku Streamlines AI/ML

Posted by David Menninger on 14 April 2021

Organizations are becoming more and more data-driven and are looking for ways to accelerate the usage of artificial intelligence and machine learning (AI/ML). Developing and deploying AI/ML models can be complicated in many ways, often involving different tools and services to manage these solutions from end to end. Accessing and preparing data is the most common challenge organizations face in...