Features

Features

• 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

  Basic BI reporting still gives businesses valuable information. But its value can be increased by incorporating it into a broader analytics and data visualization platform.  Continue Reading

• 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

• 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

• 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

  The core products of Tableau and Qlik are starting to resemble each other more as the need for strong data visualization and scalability crystalizes. But differences remain.  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

• Comparing the leading big data analytics software options

  This big data analytics tools comparison examines products from the leading vendors and provides insight into how you can differentiate between the various offerings.  Continue Reading

• Insights into buying big data analytics tools

  Before purchasing big data analytics software, companies must first identify their specific needs and then evaluate how the product features address those needs.  Continue Reading

• The benefits of using big data analytics software

  Tools for big data analytics have a lot to offer, and they come in many varieties. Get to know some of the ways business users and data scientists can use the software.  Continue Reading

• How CardinalCommerce grew its big data analytics capabilities

  By doing big data analytics with Spark, CardinalCommerce ignited a demand for data throughout its organization and got more in-house users to engage with the analytics process.  Continue Reading

• How data-driven policing strategies can impact public safety

  Analytics and new data sources are opening the door for municipalities to deploy big data policing strategies that potentially can improve emergency response times, a software vendor exec says.  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

• Visual data exploration a key first step for deeper analyses

  Visual data analysis is an important first step in any advanced analytics project -- and analysts and data scientists who overlook it do so at their own peril, experienced users warn.  Continue Reading