David Menninger's Analyst Perspectives

IBM Brings Breadth and Depth to Analytics

Posted by David Menninger on Feb 13, 2019 6:00:00 AM

I am happy to share some insights about IBM drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for analytics and business intelligence. We evaluated IBM and 14 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and data derived from our benchmark research on analytics and business intelligence.

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Topics: Data Science, Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology

MicroStrategy Battles for Top Spot in Analytics and BI

Posted by David Menninger on Feb 8, 2019 6:00:00 AM

I am happy to offer some insights on MicroStrategy drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for analytics and business intelligence. We evaluated MicroStrategy and 14 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and data derived from our benchmark research on analytics and business intelligence.

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Topics: Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology

Information Builders Earns Top Analytics and BI Honors

Posted by David Menninger on Feb 6, 2019 6:00:00 AM

I am happy to offer some insights on Information Builders drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for analytics and business intelligence software. We evaluated Information Builders and 14 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and data derived from our benchmark research on analytics and business intelligence.

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Topics: Data Science, business intelligence, Mobile Intelligence, Analytics, Cloud Computing, Collaboration, Digital Technology

How Do Analytics and Business Intelligence Vendors Stack Up?

Posted by David Menninger on Feb 4, 2019 6:00:00 AM

I am happy to share some insights gleaned from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. Drawing on our benchmark research, we apply a structured research methodology built on evaluation categories that are designed to reflect the real-world criteria incorporated in a request for proposal to vendors in analytics and business intelligence. Using this methodology, we evaluated vendor submissions in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). This research-based index is the first such evaluation to assess the full business value of analytics and business intelligence software. You can learn more about our Value Index as an effective vendor selection and RFI/RFP tool at https://www.ventanaresearch.com/value-indexes/inclusion.

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Topics: Data Science, business intelligence, Mobile Intelligence, Analytics, Cloud Computing, Collaboration, Digital Technology

Analytics and Business Intelligence for a Data-Driven World

Posted by David Menninger on Jan 29, 2019 6:00:00 AM

Ventana Research provides unique insight into the analytics and business intelligence (BI) industry. This is important, as its processes and technology play an instrumental role in enabling an organization’s business units and IT to utilize its data in both tactical and strategic ways to perform optimally. To accomplish this, organizations must provide technology that can access the data, generate and apply insights from analytics, communicate the results and support collaboration as needed.

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Topics: Data Science, business intelligence, Mobile Intelligence, Analytics, Cloud Computing, Collaboration, Digital Technology

Consolidation around Cognos 11.1 and other news from IBM Analytics University

Posted by David Menninger on Dec 3, 2018 7:00:00 AM

IBM's Analytics University (held in both Miami and Stockholm) brought about some large changes. Big announcements this year included a consolidation of IBM's Watson Analytics into Cognos 11.1, helping provide some clarity to their analytics offerings, along with new visualizations and better data preparation. This also includes a new conversational assistant to help generate narrative explanations of displays and interactive queries. For the full breakdown of IBM's Analytics University 2018, and my analysis of all the largest announcements, watch my latest hot take.

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Topics: Big Data, Analytics, Business Intelligence, Data Preparation, AI, natural language processing

Teradata and the Analytics Universe

Posted by David Menninger on Oct 26, 2018 6:00:00 AM

This year, Teradata rebranded the Teradata users conference from "Partners" to "Analytics Universe", and there is a reason for it. For decades, Teradata has represented the high end of the analytic database, but new innovations and technologies are adding flexibility to Teradata's licensing as they compete. For the full breakdown of Teradata's Analytics Universe 2018, and my analysis of all the largest announcements, watch my hot take video.

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Topics: Big Data, Data Warehousing, Teradata, Analytics, Data Governance, Data Management, Data Preparation, Information Management, Data, Digital Technology

The Market of Data at Strata

Posted by David Menninger on Oct 5, 2018 11:31:56 AM

In 2017 Strata + Hadoop World was changed to the Strata Data Conference. As I pointed out in my coverage of last year’s event, the focus was largely on machine learning and artificial intelligence (AI). That theme continued this year, but my impression of the event was of a community looking to get value out of data regardless of the technology being used to manage that data. The change was subtle: The location was the same; the exhibitors were largely the same; attendance was similar this year and last. But there was no particular vendor or technology dominating the event.

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Topics: Big Data, Data Science, Machine Learning, Analytics, Business Intelligence, Data Governance, Data Integration, Data Preparation, Information Optimization, Digital Technology, Machine Learning and Cognitive Computing

From Analytics to Action Requires Collaboration

Posted by David Menninger on Sep 20, 2018 8:35:29 AM

All too often, software vendors view analytics as the end rather than the beginning of a process. I’m reminded of some of the advanced math classes I’ve taken in which the teaching process focused on a few key aspects of a mathematical proof or solution, leaving the rest of the exercise to be worked out by the students. In other contexts, you may hear people say the numbers speak for themselves.

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Topics: Data Science, Machine Learning, Analytics, Business Intelligence, Collaboration, Data Governance, Information Optimization, Digital Technology, collaboration for business

Research Agenda Explores Evolving World of Analytics in 2018

Posted by David Menninger on Feb 12, 2018 5:17:18 AM

We at Ventana Research recently published our research agendas for 2018. Analytics and business intelligence are evolving and so is our research on their use across practice areas. Earlier research has shown that analytics can deliver significant value to organizations; for example, our predictive analytics research shows that 57 percent of organizations reported achieving a competitive advantage and half created new revenue opportunities with predictive analytics. Waves of investment in self-service analytics have propelled the market for analytics tools, significantly empowering line-of-business organizations to create their own analytics and set their own analytic priorities. But organizations are also beginning to recognize some of the limitations of current analytics implementations – for self-service, for example. Our Data Preparation Benchmark Research reveals that fewer than half (42%) of organizations are comfortable allowing business users to work with data not prepared by IT. Our research this year will continue to explore both the successes and challenges organizations face as they continue to use analytics and BI.

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Topics: Machine Learning, Analytics, Business Intelligence, Collaboration, Internet of Things, IOT, Artificial intelligence, natural language processing, Natural Language Query