Big Data Business Intelligence How To 
CIO Business Intelligence
MAY 7, 2024
When it broke onto the IT scene, Big Data was a big deal. Still, CIOs should not be too quick to consign the technologies and techniques touted during the honeymoon period (circa 2005-2015) of the Big Data Era to the dust bin of history. Data is the cement that paves the AI value road. Data is data.
CIO Business Intelligence
JUNE 14, 2023
Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.
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CIO Business Intelligence
FEBRUARY 6, 2023
Executive leaders of small businesses and startups frequently lament that they lack the same access to data and insights that enterprise competitors and other more entrenched players enjoy. The solution: business intelligence tools While mindset is a difficult obstacle to overcome, technology and budget are easier ones to surmount.
CTOvision
JULY 31, 2013
By Ryan Kamauff Peter Schlampp, the Vice President of Products and Business Development at Platfora, explains what the Hadoop Big Data reservoir is and is not in this webinar that I watched today. Knowing what the HDR is and is not is key to pulling out business intelligence insights and analytics.
CTOvision
APRIL 14, 2020
Read Yinglian Xie explain how you can use big data for business intelligence on Forbes : That data is central to the functioning of our modern digital economy is, at this point, a given.
The Accidental Successful CIO
NOVEMBER 6, 2013
CIOs need to learn how to ride the tsunami of big data Image Credit. CIOs have always had to find ways to deal with data. The arrival of the era of Big Data has almost overnight turned what was already a challenging task into a nearly impossible task. The Seven Steps To Getting Value Out Of Your Big Data.
CTOvision
SEPTEMBER 17, 2014
Successfully deploying Hadoop as a core component or enterprise data hub within a symbiotic and interconnected big data ecosystem; integrating with existing relational data warehouse(s), data mart(s), and analytic systems, and supporting a wide range of user groups with different needs, skill sets, and workloads.
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