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Enterprise business intelligence software and big data News
October 29, 2020
Vendors, academics and data scientists are developing technologies to detect irregularities in voting patterns. The turbulent U.S. election could provide fertile turf for the tools.
August 02, 2019
In a quest to be the 'Amazon of state services,' Colorado's chief data officer is rolling out an API integration platform. Challenges abound. Here are the lessons learned.
June 25, 2019
Oracle Analytics Cloud now offers a consistent UI and all-in-one pricing for Oracle's analytics tools. But an on-premises BI update is also on the way for cloud holdouts.
June 21, 2019
Google and Salesforce's recent multibillion-dollar BI deals have put analytics in the spotlight. What's the import for CIOs -- aside from the fact that data rules?
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Big data as a service (BDaaS) is the delivery of data platforms and tools by a cloud provider to help organizations process, manage and analyze large data sets so they can generate insights in order to improve business operations and gain a ... Continue Reading
Big data is a combination of structured, semistructured and unstructured data collected by organizations that can be mined for information and used in machine learning projects, predictive modeling and other advanced analytics applications. Continue Reading
As evaluating user and employee digital experience becomes more common, CIOs need to learn how the technologies work and what they stand to gain by implementing DEM. Continue Reading
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Data science is the process of using advanced analytics techniques and scientific principles to analyze data and extract valuable information for business decision-making, strategic planning and other uses. Continue Reading
Demand for monitoring and managing digital experiences is growing. Knowing the vendors and products available to businesses will help leaders make the right choice. Continue Reading
Big data is the fuel for today's analytics applications. This in-depth big data guide explains how businesses can benefit from it and what they need to do to use it effectively. Continue Reading
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Now is the time to take all that data your organization has amassed through the years and, with DataOps, use it to make actionable business decisions. Continue Reading
The COVID-19 pandemic is adversely affecting businesses worldwide, but data science can help you solve immediate problems and create data-driven strategies for the long term. Continue Reading
Moving analytics to the cloud opens a lot doors for users, but only if they keep costs in check and understand the 5 V's of big data -- volume, variety, velocity, veracity and value. Continue Reading
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Evaluating both customer and employee digital experience is increasingly valuable in the enterprise. Leaders will need to plan for the challenges that come with this new technology. Continue Reading
It's commonly assumed that statistical analysis improves as sample size grows. But big data isn't always better data. A Harvard statistician explains why it's not that simple. Continue Reading
A cloud migration requires evaluating any existing information governance programs. E-discovery in the cloud and for container-based data platforms requires a detailed strategy. Continue Reading