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• Rethinking analytics processes spurs enterprise innovation

  By taking a fresh look at the makeup of their analytics organizations, enterprises can innovate their business models and take advantage of digital disruption. Continue Reading

• 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

• 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

• 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

• Newest AI technology set to disrupt tech sector, job markets

  Emerging AI technology will lead to the creation of influential new software companies and disrupt job markets, says a Goldman Sachs researcher -- predictions that are discussed here. Continue Reading

• Qlik Sense vs. QlikView: How the two Qlik tools compare

  The differences between the two main Qlik software offerings may be small, but there are still some key considerations for potential customers to weigh.Continue Reading

• Tableau vs. Qlik Sense: Pros and cons of the rival analytics tools

  Products from the two top data visualization vendors are starting to resemble each other as the need for strong visualizations and scalability has crystalized.Continue Reading

• Guide to using advanced analytics and AI in business applications

  AI hype is becoming reality as the technology gains ground in businesses. Get tips on machine learning, cognitive computing and other advanced analytics initiatives in this guide.Continue Reading

• Talking Data: Is there a difference between AI and analytics?

  Any AI definition should include things like predictive analytics, according to some users, even though those practices are straightforward and have been around for decades.Continue Reading

• Infographic: The evolution of the chief data officer role

  The CDO role, which has never been rigidly defined, is undergoing a face-lift as emerging technologies present new opportunities to enterprises.Continue Reading

• 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

• Five steps to build better predictive analytics applications

  Predictive analytics initiatives must be planned and managed effectively to ensure that they don't miss the mark on meeting business needs. Here's an approach to help keep them on track.Continue Reading

• Hiring vs. training data scientists: The case for each approach

  Hiring data scientists is easier said than done -- so should you try to train current employees in data science skills? That depends on your company's needs, writes one analytics expert.Continue Reading

• What sports can teach about data-driven decision-making process

  MIT lecturer Ben Shields says other businesses can learn a lot about analytical decision-making from the progress that sports teams have made on effective use of data in recent years.Continue Reading

• Better Tableau implementation gives BI dashboards a boost

  Building good Tableau dashboards is about more than just pretty visualizations. Users say the process should incorporate strong data management practices and a sharp business strategy.Continue Reading