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Business intelligence architecture and integration News
October 24, 2018
With the Tableau Developer Program, developers will be able to use a Tableau Online development sandbox and sample codes, among other free resources.
October 12, 2018
With Looker 6, users of the BI platform can now access packaged applications that are designed for uses such as web analytics and digital marketing analytics.
July 27, 2018
Google is enabling BigQuery users to build SQL-based machine learning models inside the cloud data warehouse via a BigQuery ML technology now out in beta.
January 17, 2018
The Hyper in-memory data engine added in Tableau 10.5 could make Tableau analytics capabilities more expansive, enabling the software to support new use cases, like IoT analytics.
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Self-service business intelligence (BI) is an approach to data analytics that enables business users to access and work with corporate data even if they do not have a background in statistical analysis, BI or data mining. Continue Reading
Customer data integration is a minefield for IT teams to navigate. But incorporating a set of core technical functions into an integration architecture can ease the process. Continue Reading
Operational intelligence (OI) is an approach to data analysis that enables decisions and actions in business operations to be based on real-time data as it's generated or collected by companies. Continue Reading
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Self-service BI software opens the door to wider analytics uses in organizations. This handbook compares top self-service tools and details user deployments. Continue Reading
Tableau, Power BI and Qlik Sense offer similar self-service BI functionality, consultant Rick Sherman says. But he points to some of their strengths and weaknesses. Continue Reading
Running business intelligence applications in the cloud has yet to take the BI world by storm. Researcher Howard Dresner offers insight on why and discusses the state of cloud BI software. Continue Reading
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As more organizations add IoT devices, the resulting data streams run the risk of overloading the IoT environment. IoT edge analytics could help distribute the workload. Continue Reading
Siloed data isn't only a problem for businesses. It's also a big issue for many large universities -- one that their data infrastructures need to resolve for effective analytics. Continue Reading
While cloud computing may be convenient and more cost-effective for users, it can also lead to new challenges and requirements in regard to integrating and processing data. Continue Reading
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Choosing the right ETL tool for your data integration requirements can be a challenge. Here's a rundown on what to look for in ETL software and potential vendors to consider. Continue Reading
Hadoop and all the related technologies surrounding it enable organizations to design big data environments that meet their specific needs. But putting everything together isn't easy. Continue Reading
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