Business intelligence development News
July 27, 2016
The internet of things is generally thought of as a data source, but new business reporting software from Sisense is leveraging the concept for data consumption.
June 24, 2016
On the occasion of ComputerWeekly's 50th anniversary, Brian McKenna joins the Talking Data podcast crew to look back at Bletchley Park, and forward to Hadoop and AI.
June 15, 2016
While cognitive computing and the internet of things generate a lot of buzz in today's analytics world, surveyed businesses still give priority to traditional BI reporting tools.
December 21, 2015
In an excerpt from his book on BI development and delivery, author Greg Steffine explains why it's important to focus BI initiatives on enabling the business to respond quickly and nimbly to situations.
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Embedded BI (business intelligence) is the integration of self-service BI tools into commonly used business applications. Continue Reading
Today's enterprises want business intelligence managers and staffers with good communication skills and a solid understanding of the business, advises careers expert Matt Mueller. Continue Reading
TechTarget's IT Priorities Survey shows that business intelligence, analytics and data warehousing projects are the top software priority this year. Continue Reading
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BI tools can be very beneficial to an organization by delivering helpful insights, but common mistakes frequently derail their effectiveness and render them useless. Continue Reading
Hospitals are leveraging traditional BI systems to help them negotiate the shifting terrain around insurance payment programs. Continue Reading
Cloud-based BI helped ServiceChannel rely less on IT for data management and reporting, which freed up analysts to make stronger use of the company's data. Continue Reading
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Analyst Howard Dresner discusses the potential business value of embedding business intelligence software in business applications -- and what's limiting the technology's adoption. Continue Reading
Big data initiatives can help companies improve operational efficiency, create new revenue and gain a competitive advantage. But traditional data processing often can't deal with the mountains of structured, semi-structured and unstructured data ... Continue Reading
Organizations looking to analyze big data typically have to pull it together from various systems, making data integration a fundamental component of a big data analytics platform. Continue Reading
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To fully understand their analytics data, organizations need to incorporate temporal data capabilities into data warehouses and business intelligence systems, consultant Barry Devlin says. Continue Reading
Rick Sherman explains how to avoid common mistakes when planning and designing BI systems, saying that the varying needs of different business users must be front and center. Continue Reading
Today's post-relational databases have sleek designs and promise fast performance -- but if they don't suit your business needs, they're not worth it. Continue Reading