Ventana Research has newly published its Mobile Analytics and Business Intelligence 2016 Value Index. The Value Index provides a comprehensive evaluation of vendors and their product offerings across seven categories. In performing that analysis, I realized that this software category is at a crossroads. Once an optional capability often reserved for executives, mobile analytics is becoming a requirement of business users across organizations. The blurring of lines between work and personal...
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Topics:
Mobile,
Analytics,
Business Analytics,
Business Intelligence
Qlik helped pioneer the visual discovery market with its QlikView product. In some respects, Qlik and its competitors also spawned the self-service trend rippling through the analytics market today. Their aim was to enable business users to perform analytics for themselves rather than building a product with the perfect set of features for IT. After establishing success with end users the company began to address more of the concerns of IT, eventually creating a robust enterprise-grade...
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Topics:
Analytics,
Business Analytics,
Business Collaboration,
Business Intelligence,
Cloud Computing,
Data Preparation,
Information Management,
Uncategorized,
Visualization,
Qlik,
Qlik Sense
I recently attended the SAS Analyst Summit in Steamboat Springs, Colo. (Twitter Hashtag #SASSB) The event offers an occasion for the company to discuss its direction and to assess its strengths and potential weaknesses. SAS is privately held, so customers and prospects cannot subject its performance to the same level of scrutiny as public companies, and thus events like this one provide a valuable source of additional information.
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Topics:
Big Data,
Predictive Analytics,
SAS,
Analytics,
Business Analytics,
Business Collaboration,
Business Intelligence,
Business Performance,
Information Applications,
Information Management,
Uncategorized,
Visualization
The big data market continues to expand and enable new types of analyses, new business models and new revenues streams for organizations that implement these capabilities. Following our previous research into big data and information optimization, we’ll investigate the technology trends affecting both of these domains as part of our 2016 research agenda.
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Topics:
Analytics,
Business Analytics,
Business Intelligence,
Data Preparation,
In-memory,
Information Management,
Operational Intelligence,
Uncategorized
Some followers of Ventana Research may recall my work here several years ago. Here and elsewhere I have spent most of my career in the data and analytics markets matching user requirements with technologies to meet those needs. I’m happy to be returning to Ventana Research to resume investigating ways in which organizations can make the most of their data to improve their business processes; for a first look, please see our 2016 research agenda on Big Data and Information Optimization. I relish...
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Topics:
Big Data,
Predictive Analytics,
Analytics,
Business Analytics,
Business Intelligence,
Information Management,
Internet of Things,
Operational Intelligence,
Uncategorized,
Unicorns,
IT Performance Management (ITPM)
Throughout the course of our research in 2016, we’ll be exploring ways in which organizations can maximize the value of their data. Ventana Research believes that analytics is the engine and data is the fuel to power better business decisions. Several themes emerged from our benchmark research on incorporating data and analytics into organizational processes, and we will follow them in our 2016 Business Analytics Research Agenda:
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Topics:
Big Data,
Predictive Analytics,
Analytics,
Business Analytics,
Business Collaboration,
Business Intelligence,
Cloud Computing,
Information Applications,
Information Management,
Operational Intelligence
As a technology, predictive analytics has existed for years, but adoption has not been widespread among businesses. In our recent benchmark research on business analytics among more than 2,600 organizations, predictive analytics ranked only 10th among technologies they use to generate analytics, and only one in eight of those companies use it. Predictive analytics has been costly to acquire, and while enterprises in a few vertical industries and specific lines of business have been willing to...
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Topics:
Data Scientist,
Predictive Analytics,
Sales Performance,
Social Media,
Supply Chain Performance,
Analytics,
Business Analytics,
Business Intelligence,
Customer & Contact Center,
Workforce Performance,
IT Performance Management (ITPM)
I want to share my observations from the recent annual SAS analyst briefing. SAS is a huge software company with a unique culture and a history of success. Being privately held SAS is not required to make the same financial disclosures as publicly held organizations, it released enough information to suggest another successful year, with more than $2.7 billion in revenue and 10 percent growth in its core analytics and data management businesses. Smaller segments showed even higher growth rates....
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Topics:
Big Data,
Predictive Analytics,
SAS,
Analytics,
Business Analytics,
Business Intelligence,
Business Performance,
Cloud Computing,
Strata+Hadoop
In our definition, information management encompasses the acquisition, organization, dissemination and use of information by organizations to create and enhance business value. Effective information management ensures optimal access, relevance, timeliness, quality and security of this data with the aim to improve organizational performance. This goal is not easily met, especially as organizations acquire ever more data at an ever faster pace. In our business analytics benchmark research of more...
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Topics:
Data Quality,
Master Data Management,
Social Media,
Analytics,
Business Analytics,
Business Intelligence,
Cloud Computing,
Complex Event Processing,
Data Governance,
Data Integration,
Information Applications,
Information Life Cycle Management,
Information Management,
Operational Intelligence,
IT Performance Management (ITPM)