Ventana Research Analyst Perspectives

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

The Market of Data at Strata

Posted by David Menninger on Oct 5, 2018 11:31:50 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: Analytics, Business Intelligence, data science, Big Data, Data Integration, Data Governance, Data Preparation, Information Optimization, Machine Learning, digital technology, Machine Learning and Cognitive Computing

A Superior Employee Experience – A New Business Imperative

Posted by Steve Goldberg on Jun 14, 2018 8:10:54 AM

Employee engagement has been a dominant theme in both human capital management (HCM) and the systems to manage it in recent years; lately (though not necessarily appropriately) it is a topic often equated with the notion of the employee experience. On a related point, Gallup’s annual employee engagement survey has consistently found the majority of today’s workforce to be disengaged, defined as “not enthusiastic or passionate about their work.” Interest in the degree to which HCM technology can improve employee engagement (or mitigate disengagement) now rivals the attention given to such perennial chief human resources officer (CHRO) concerns as attracting and retaining top talent and retooling the workforce.

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Topics: Analytics, Business Intelligence, Cloud Computing, Collaboration, data science, Big Data, Machine Learning, Workforce Optimization, digital technology, Human Capital Management, HRMS, Learning Management, Workforce Management

AI in Business: Hypocrisy and Opportunity

Posted by Mark Smith on Jun 6, 2018 8:17:49 AM

We now are well beyond the year depicted in 2001: A Space Odyssey, a cinematic perspective on the future of artificial intelligence in which HAL 9000, a computer, is able to simulate human behavior and control machines. Anyone reviewing the past two years of marketing around AI in the business technology industry can be forgiven for believing that we have arrived at the futuristic state Stanley Kubrick imagined. We have not.

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Topics: Analytics, Business Intelligence, Cloud Computing, Collaboration, data science, Internet of Things, Mobile, Big Data, Data Integration, Data Governance, Data Preparation, Information Optimization, Machine Learning, Customer Experience, Billing and Recurring Revenue, Contact Center, Customer Analytics, Customer Engagement, Customer Service, Workforce Optimization, digital technology, collaboration for business, Cybersecurity, Machine Learning and Cognitive Computing, Mobile Technology

GDPR: Business or Technology Vendors Ready or Not?

Posted by Mark Smith on May 11, 2018 8:37:05 AM

We are have arrived at the May 25, 2018 date when the European Union’s General Data Privacy Regulations (GDPR) become enforceable, following what has been a two-year transition period. Companies were given this time to put in place reasonable measures and the systems necessary to support the legislation’s wide-ranging personal data privacy requirements, which apply to any organization with more than 250 employees that serves EU citizens. While this regulation will apply in the EU, it has implications for any organization in the world that provides services involving the personal data of any EU citizen.

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Topics: Analytics, Business Intelligence, Cloud Computing, Collaboration, data science, Internet of Things, Mobile, Big Data, Data Integration, Data Governance, Data Preparation, Customer Experience, Billing and Recurring Revenue, Contact Center, Customer Analytics, Customer Engagement, digital technology, collaboration for business, Cybersecurity, Marketing, Digital Marketing, Digital Commerce, mobile marketing, Sales