Features

Features

• 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

• Easy-to-use data science tools power new startup

  At DonorBureau, a startup in the nonprofit space, easy-to-use tools for data science are a must. Lucky for the company, that's where the analytics software industry is going.  Continue Reading

• How PetSmart continues to see value in mobile BI software

  Mobile BI apps may have lost some of their luster from earlier years, but PetSmart, for one, continues to find real business value in apps for their managers and executives.  Continue Reading

• Data-driven business models lead the way forward

  Good instincts used to drive successful business strategies, but intuition just can't cut it in the age of big data.  Continue Reading

• Tools for predictive analytics took a hit in presidential election

  Tools for predictive analytics can help guide decision-making in companies and political campaigns, but the 2016 election showed that emotion is still a powerful factor for voters.  Continue Reading

• Don't learn lessons on predictive modeling techniques the hard way

  Deploying and using predictive modeling tools without heeding best practices doesn't guarantee analytics success, a fact that many analytics managers and election forecasters know all too well.  Continue Reading

• Analytics VP shares best practices for hiring data scientists

  Data scientist jobs can be notoriously difficult to fill, but businesses can turn to tools that fill in gaps in staffing and take care of their analytics needs.  Continue Reading

• Debate over big data and privacy is just getting started

  For years, the tension between privacy and big data has been apparent, but with emerging technologies generating huge amounts of data, the debate will intensify.  Continue Reading

• Missions for monetizing data need lift from upfront groundwork

  Organizations launching data monetization strategies should factor some key initial steps into their plans to develop revenue-generating data products and analytics services.  Continue Reading

• Siemens uses process mining software to improve manufacturing visibility

  Prior to implementing process mining tools, manufacturer Siemens had little visibility into production bottlenecks and other operational issues. Now, it can see the sources of the problems more clearly.  Continue Reading

• IT teams take steps to simplify big data analytics process

  Companies such as Yahoo, Merck, Macy's and eBay have moved to clear obstacles that were blocking the path to success with big data analytics applications.  Continue Reading

• Users tap mix of tools to mine big data analytics architecture

  Predictive modeling, machine learning and other advanced analytics applications help dig the business value out of big data systems -- but for many users, it takes a lot of tools and effort.  Continue Reading

• Difficulties in hiring data scientists can waylay analytics efforts

  Advanced analytics software provides a lot of functionality, but finding skilled data scientists who can use the available tools effectively is a challenge for many analytics managers.  Continue Reading