Features

Features

• 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

• Alteryx analytics tools help simplify advanced data analysis

  The Alteryx advanced analytics tool suite comprises three products: the Alteryx Designer desktop tool, Alteryx Server and the Alteryx Analytics Gallery cloud-based application.  Continue Reading

• Despite functionality gains, use of cloud BI tools elevates slowly

  Running business intelligence applications in the cloud has yet to take the BI world by storm. Researcher Howard Dresner offers insight on why and discusses the state of cloud BI software.  Continue Reading

• Cloud data analytics gets a higher profile in companies

  Lenovo and Autodesk are two organizations that are increasing their use of the cloud for analytics applications, looking to lower costs, add flexibility and speed up data processing.  Continue Reading

• An overview of the Teradata Aster Analytics platform

  The Teradata Aster Analytics platform includes the Aster Database, Aster SNAP Framework, Aster R, SQL-MapReduce framework, SQL-GR and the Aster Analytics Portfolio.  Continue Reading

• A look at the IBM SPSS Modeler and IBM SPSS Statistics analytics tools

  The IBM SPSS Modeler and IBM SPSS Statistics predictive analytics tools help users and data analysts build predictive models and manage the analytics process.  Continue Reading

• Deep learning algorithms demand nearly limitless supplies of data

  More data almost always makes deep learning projects more effective. One data science manager says there's essentially no limit to the amount of data he wants to have access to for his team's projects.  Continue Reading

• Deep learning models hampered by black box functionality

  A lack of transparency into how deep learning models work is keeping some businesses from embracing them fully, but there are ways around the interpretability problem.  Continue Reading

• Data scientist skills range from data prep to storytelling

  Data scientists aren't born -- they're made. IT pros from a wide range of backgrounds are working to gain the data science skills for which companies are looking.  Continue Reading

• School gets creative to train staff on self-service reporting software

  Most workers have other things to worry about in their jobs than learning how to use self-service BI software, so one school tried to make it fun for all staff.  Continue Reading

• Citizen data scientist trend compensates for lack of skills

  Self-service analytics tools are fueling the citizen data scientist trend, helping companies compensate for a lack of analytics skills in the market and making analytics more accessible.  Continue Reading

• Uber has high hopes for its open source data visualization software

  A few months ago, Uber released its self-developed data visualization tool into the open source world. Now it hopes innovation will flow back into the company.  Continue Reading

• Self-service BI software comparison: Tableau vs. Power BI, Qlik Sense

  Three software vendors have taken the lead in the market for self-service BI tools. This chart can help you sort out the differences between these common software applications.  Continue Reading

• Deloitte report reveals the power of unstructured data analytics

  The analysis of unstructured data and other so-called dark data types can deliver significant business value, according to a new report from consulting group Deloitte.  Continue Reading