Business intelligence development News
September 14, 2016
With the release of SAS Viya, which is accessible to open source tools, the company is moving away from its traditional approach of releasing a complete piece of software.
August 31, 2016
Technology consultants and vendor executives share their predictions on likely developments in BI, analytics and big data technologies, and user deployments of them over the next 12 months.
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.
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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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Big data environments based on technologies such as Hadoop and Spark are being deployed more widely -- and the same goes for advanced analytics tools that can help organizations make effective use of the data flooding into those systems. In fact, ... Continue Reading
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