Business intelligence best practices
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Staff Pick: The Rising Need for Analytics Accuracy
Learn how LinkedIn overcame analytics bottlenecks, 3 data modeling flaws that cripple data science projects, and common roadblocks of advancing data science teams and hiring data pros.
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Business intelligence best practices 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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March 28, 2017
28
Mar'17
Self-service BI and analytics tools face evolving set of challenges
Self-service BI tools have become the go-to standard for business intelligence software, but users are pushing vendors to rethink how they address enterprise needs and advanced analytics.
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March 17, 2017
17
Mar'17
Ease of use is top priority in selecting self-service analytics tools
A lot of factors go into a choosing a strong, modern BI tool. But several users say ease of use trumped all other considerations for them in picking self-service software.
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March 08, 2017
08
Mar'17
Analytics teams give data science applications real scientific rigor
Data scientists at companies such as LinkedIn and Cisco are applying aspects of the scientific method to data mining and analysis initiatives to try to make sure they get valid results.
Business intelligence best practices Get Started
Bring yourself up to speed with our introductory content
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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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How predictive analytics techniques and processes work
Predictive analytics is no longer confined to data scientists and other highly skilled analysts. But other users need to understand what it involves before they start building models. Continue Reading
Evaluate Business intelligence best practices Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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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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A machine learning and AI guide for enterprises in the cloud
AI and machine learning could drive the next wave of cloud adoption. But businesses need to know their provider options and evolve their skills to succeed with these technologies. Continue Reading
Manage Business intelligence best practices
Learn to apply best practices and optimize your operations.
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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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Data analytics architecture must break down higher ed silos
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
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Predictive analytics projects can bolster business decisions
Blind faith in predictive models can result in flawed business decisions. Analytics teams need to manage predictive processes carefully to keep things on the right track. Continue Reading
Problem Solve Business intelligence best practices 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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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
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How to connect Power BI with SharePoint
Here's a step-by-step guide on how to connect Power BI with SharePoint team sites without uploading files, allowing you to export and analyze data much more seamlessly. Continue Reading