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• How to enhance your data science storytelling

  How do you create substantive, compelling stories for business executives from cold, hard numerical data? Experts share their tips on how to improve your data storytelling skills. Continue Reading

• 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

• 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

• 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

• 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

• How to navigate today's business analytics governance challenges

  Don't let a traditional analytics mindset lure you into complacency when it comes to advanced analytics governance. Here are the biggest governance roadblocks and how to avoid them.Continue Reading

• Today's top data pipeline management challenges

  IT executives say pricing models, agility and auditability are some of the biggest challenges they have faced in managing today's increasingly complex data pipelines.Continue Reading

• Social media analytics applications live and die by the data

  This handbook provides insight and advice on how to use analytics to get information on customer sentiment and marketing opportunities from sets of social media data.Continue Reading

• Social media analytics best practices tempered by privacy laws

  Social media provides a fertile landscape of information and insight into consumer behavior, but collecting and analyzing that data carries all sorts of privacy pitfalls.Continue Reading

• 6 tips for effective customer data mining

  Digging into customer data can improve sales opportunities -- but how do you balance that against data privacy concerns? Get insights from data professionals.Continue Reading

• McDonald's orders up customer service analytics, shakes up fast food

  The fast-food giant is acquiring Dynamic Yield, a big data analytics platform, in pursuit of a more personalized customer experience on drive-thru and digital orders.Continue Reading

• Beyond customer sentiment: How to put NLP technology to work

  Natural language processing tools and apps have finally arrived -- but how are organizations putting NLP to work? Here are some possibilities that might not be obvious.Continue Reading

• A future data scientist needs business, deep learning skills

  As automation grows, data scientists will focus more on business needs, strategic oversight and deep learning and less on model creation and other routine tasks.Continue Reading

• How to integrate Power BI and SharePoint via embedded reports

  Expert Brien Posey explains two methods for including Power BI reports on pages in SharePoint Online's cloud service: publishing a link to a report, or embedding one.Continue Reading

• Analytics an uneasy balance between data collection and privacy

  In the age of GDPR and privacy regulations, attention must be paid to user privacy. Data management tools that employ AI as part of analytics can help achieve that.Continue Reading