Features

Features

• 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

• How SAS Enterprise Miner simplifies the data mining process

  The SAS Enterprise Miner data mining tool helps users develop descriptive and predictive models, including components for predictive modeling and in-database scoring.  Continue Reading

• Inside RapidMiner's data science platform

  The RapidMiner data science platform comprises products that enable both technical and nontechnical users to perform a variety of advanced data analytics functions.  Continue Reading

• How QVC built a real-time analytics platform from humble tools

  A lot of hot new tools are available today for doing real-time analytics, but QVC found success building a real-time platform by repurposing older, simpler tools.  Continue Reading

• 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

• Examining the KNIME Analytics Platform for big data analytics

  KNIME offers open source data analytics, reporting and integration tools, as well as commercial software that can help build more efficient workflows.  Continue Reading

• Machine learning platforms comparison: Amazon, Azure, Google, IBM

  The platform war over machine learning tools is heating up. Use our features comparison chart to see how four top vendors stack up and help you decide which is right for your enterprise.  Continue Reading

• Exploring Oracle Advanced Analytics

  Oracle Advanced Analytics and other data analytics tools, including Oracle R Enterprise and Oracle Data Miner, enable business users to explore large volumes of data.  Continue Reading