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Business intelligence management News
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March 23, 2018
23
Mar'18
Cambridge Analytica-Facebook case shows need for ethical data mining
Ethical data collection practices are becoming even more important, as cases like Cambridge Analytica's misuse of Facebook data challenge consumer trust in enterprise analytics.
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February 13, 2018
13
Feb'18
IT analysts look for clarity on IBM analytics tools
IBM's analytics software is strong technically but disjointed and hard to understand, say analysts who think simplifying things should be a priority at the company's Think 2018 conference.
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January 17, 2018
17
Jan'18
Hyper engine aims to give enterprise Tableau analytics a boost
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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October 13, 2017
13
Oct'17
Tableau data visualization tool gets enterprise upgrade
Tableau is adding low-level capabilities to raise its software's standing above that of a data visualization tool for business units and to gain more acceptance enterprise-wide.
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Humans and AI tools go hand in hand in analytics applications
Companies are keeping data analysts and other workers in the loop with AI applications to check the results generated by automated algorithms for accuracy, relevance and missing info. Continue Reading
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decision-making process
The decision-making process, in a business context, is a set of steps taken by managers in an enterprise to determine the planned path for business initiatives and to set specific actions in motion. Continue Reading
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Slow to gain traction, AI apps on the verge of explosion
From chatbots ("Can I help you?") to killer bots ("I'll be back."), artificial intelligence runs the gamut of applications and emotions like no other technology. It's been nearly 70 years since AI first came into consciousness with humankind, yet ... Continue Reading
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Mike Capone, Qlik CEO, says roadmap targets cloud, big data
Qlik software must continue to evolve to keep pace with changes coming from cloud computing, big data and cognitive computing, says Qlik's new CEO Mike Capone. Continue Reading
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Big data throws big biases into machine learning data sets
AI holds massive potential for good, but it also amplifies negative outcomes if data scientists don't recognize data biases and correct them in machine learning data sets. Continue Reading
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AI technologies have come far, but the road is long
Machine learning and other artificial intelligence technologies are poised to offer businesses big benefits, but companies have to walk before they run with AI. Continue Reading
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Diversified data sets for analytics deliver top results
Analytics teams should focus on data diversity to ensure that their projects deliver the most meaningful insights -- but they must be wary of some stumbling blocks. Continue Reading
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How to boost the value of BI in today's analytics landscape
Traditional BI reporting still gives businesses valuable information. But its value can be increased by incorporating it into a broader analytics platform with more-advanced tools. Continue Reading
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New Qlik CEO Mike Capone outlines his business strategy
Mike Capone, Qlik's new CEO, discusses recent layoffs and says the company needs to be more aggressive about touting its successes to avoid falling behind in the self-service BI market. Continue Reading
Problem Solve Business intelligence management Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
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Good analytics dashboards turn BI data into actionable info
Design issues and new IT trends complicate the process of creating dashboards for business users. But when well-designed, they can help make companies more data-driven. Continue Reading
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Many businesses use BI reporting systems wrong, but they can improve
Many businesses commit similar mistakes when creating BI reports. Consultant Mico Yuk offers tips to help you avoid some of the most common pitfalls. Continue Reading
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Apply data science models effectively, not just for their own sake
Having data scientists build analytical models doesn't do much for an organization if the models don't help generate business benefits. Here are some ways to make sure they do. Continue Reading