Big Data Business Intelligence Data Reference 
CTOvision
JULY 9, 2014
The term “Big Data” has become synonymous with this evolution. But still, many of our customers continue to ask, “What is Big Data?”, “What are its use cases?”, and “What is its business value?”. What is Big Data? To gain value from this data, you must choose an alternative way to process it.”
CTOvision
SEPTEMBER 12, 2016
The world seems to run on big data nowadays. In fact, it’s sometimes difficult to remember a time when businesses weren’t intensely focused on big data analytics. It’s equally difficult to forget that big data is still relatively new to the mainstream. Rick Delgado.
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CTOvision
SEPTEMBER 11, 2016
Tibco has long been known for helping businesses interconnect their data in ways that enable business decisions. Their solutions have served business users, including the more advanced statisticians and data scientists but also the average user.
CIO Business Intelligence
OCTOBER 13, 2023
Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. They often report to data infrastructure and data science leads.
CTOvision
SEPTEMBER 11, 2016
Tibco has long been known for helping businesses interconnect their data in ways that enable business decisions. Their solutions have served business users, including the more advanced statisticians and data scientists but also the average user. Bob Gourley.
Social, Agile and Transformation
MARCH 20, 2012
I cover topics for Technologists from CIOs to Developers - agile development, agile portfolio management, leadership, business intelligence, big data, startups, social networking, SaaS, content management, media, enterprise 2.0 and business transformation. Top Five Tools of Big Data Analytics.
CIO Business Intelligence
MARCH 24, 2023
Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.
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