Evaluate

Evaluate

Weigh the pros and cons of technologies, products and projects you are considering.

• 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

• 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

• Tableau targets data preparation software with Project Maestro

  As Tableau and other high-level applications look to automate more functionality, stand-alone data preparation tools have to evolve to stay relevant in the analytics ecosystem. Continue Reading

• Tableau shows software subscription model is not just for cloud

  Subscription-based software pricing associated with the cloud can also be useful in on-premises deployments, as shown by Tableau's full embrace of the subscription approach.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

• 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

• Predictive data analytics advances businesses ahead of the game

  Predictive analytics can help companies identify trends and better understand customers. The potential business benefits are big, but building predictive models isn't simple.Continue Reading

• AI technologies affect all corners of business, IT

  Think before you act on artificial intelligence technologies to ensure that your efforts to become a "cognitive business" lead you in the right direction.Continue Reading

• Business intelligence and artificial intelligence are a natural fit

  Despite the current notion that business intelligence and artificial intelligence are separate disciplines, AI-powered BI is an idea that should get more attention.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