Features

Features

• 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

• Tableau data governance policies key to enterprise use

  Usage and data governance policies are vital to effectively implementing Tableau and avoiding common pitfalls that can affect deployments of the self-service software, experienced users say.  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

• Becoming a data-driven enterprise requires art, science

  Business analytics strategy often seeks to squeeze as much subjectivity from the process as possible. But when data is limited, human-algorithm pairings can perform well.  Continue Reading

• Machine learning in the cloud forces hard big data decisions

  Interest in implementing a cloud machine learning platform is up, but not every business is sold on the benefits of this emerging class of software.  Continue Reading

• Barbecue chain eyes using Alexa to augment BI dashboards in kitchens

  Dickey's Barbecue Restaurants plans to use Amazon Alexa so franchisees can get operational data while cooking, with dashboards still available for querying outside the barbecue pit.  Continue Reading

• Exploring Microsoft R Open, R Server for advanced analytics

  Learn about the features and components of the Microsoft R family of predictive analytics tools, which includes Microsoft R Open, Microsoft R Client and Microsoft R Server.  Continue Reading

• Inside the SAP BusinessObjects Predictive Analytics tool suite

  The SAP BusinessObjects Predictive Analytics suite of on-premises and cloud-based tools can be used by data scientists, analytics professionals, as well as less technical teams.  Continue Reading

• Tips on how to get the most out of data dashboard software

  When used right, data dashboards can lead to major business value. But planning and the overall user experience are both key to getting the most out of them, consultant Mico Yuk says.  Continue Reading

• Big data forces a reassessment of how to use BI dashboard software

  BI dashboards are still a top priority for most businesses, but emerging trends around big data are forcing BI and IT teams to rethink how dashboards can be built and used most effectively.  Continue Reading