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Business intelligence management News
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November 15, 2019
15
Nov'19
Salesforce acquisition of Tableau finally getting real
With Salesforce and Tableau finally free to start integrating, Andrew Beers, Tableau's chief technology officer, talks about what the future might be for Tableau and its users.
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November 13, 2019
13
Nov'19
Tableau analytics platform gets AI, data management upgrades
Augmented intelligence, improved data management capabilities and a tool to monitor KPIs are at the core of improvements unveiled by Tableau on Wednesday.
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November 07, 2019
07
Nov'19
Evolution of analytics marked by wider dissemination of data
With BI platforms getting easier to use by the year and enabling more self-service users in process, the value of analytics is being realized by a growing audience.
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November 07, 2019
07
Nov'19
Analytics revolution has spread the wealth of information
Business intelligence over the last 20 years has been marked by the opening up of data to everyday business users after it was once the sole possession of IT departments.
Business intelligence management Get Started
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A look inside Panasonic's talent analytics strategy
Lydia Wu, head of talent analytics at the electronics manufacturer's North America division, says just do your best and use the simple tools you already have. Continue Reading
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NLP uses in BI and analytics speak softly but carry a big stick
Self-service analytics vendors are adding NLP features to their tools to make them even easier to use. Learn about notable NLP applications as well as some caveats. Continue Reading
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data scientist
A data scientist is a professional responsible for collecting, analyzing and interpreting extremely large amounts of data. The data scientist role is an offshoot of several traditional technical roles, including mathematician, scientist, ... Continue Reading
Evaluate Business intelligence management Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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Tableau or Qlik: What separates the data visualization tools?
While leading data visualization vendors Tableau and Qlik may seem similar, there are substantial differences. Understanding the differences is key to making the right decision. Continue Reading
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Salesforce acquisition of Tableau likely to bring changes
Since Salesforce's Tableau acquisition, many have wondered what will happen to Tableau's on-premises customers. Find out what industry experts have to say. Continue Reading
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NLP progress in BI and analytics slowed by language barriers
Natural language processing shows potential in simplifying data access and deriving deeper insights, but NLP's strengths can be its weaknesses in reaching the Promised Land. Continue Reading
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NLP makes augmented data discovery a reality in analytics
BI vendors are increasingly using NLP technology to make their products work more like a web search, with simplified user interfaces and improved ease of use for customers. Continue Reading
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Tableau vs. Qlik Sense: Pros and cons of the BI tools
Products from the two top data visualization vendors are starting to resemble each other as the need for strong visualizations and scalability in self-service BI has crystalized. Continue Reading
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Ethical data mining and analytics elude privacy, usage snafus
This handbook examines the ethics of data mining and offers advice on missteps to avoid when mining and analyzing customer data to help drive marketing campaigns. Continue Reading
Problem Solve Business intelligence management Issues
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Governance, compliance, ethics in data mining: Separate but equal
In the ethical mining and analysis of data, governance, compliance and ethics are mistakenly taken as one in the same. Data managers need to be aware of the critical differences. Continue Reading
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AI vendors attack data scientist shortage with trainings
Internal data science training programs have helped vendors when colleges and universities have failed. Training is helping to fix the data scientist shortage. Continue Reading
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What data management challenges do analytics programs face?
Expert Anne Marie Smith shares five reasons why organizations' analytics programs might fail and how a data management framework and other programs can help. Continue Reading