Opinion

Opinion

• HR metrics and analytics make workforces more valuable

  Employing metrics and analytics to improve logistics, operations and forecasting is a good first step, but not enough. Your workforce is the most important resource to optimize.  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

• IBM's Watson Analytics makes strides but gives off bad vibes

  Watson Analytics is a strong player in a formidable field that includes Google and Adobe. It does perform as advertised -- but IBM's AI-driven analytics technology leaves a lot to be desired.  Continue Reading

• Data streaming applications set a faster pace on analytics efforts

  The desire to accelerate operational decision-making processes is leading organizations looking for a competitive edge to deploy streaming analytics platforms fed by real-time data.  Continue Reading

• Streaming data analytics puts real-time pressure on project teams

  A real-time data architecture that can support streaming analytics applications is an enticing, yet daunting, prospect for organizations looking to act quickly on information.  Continue Reading

• Prescriptive models take analytics one step beyond

  Descriptive analytics is powerful. Predictive analytics, flashy. Prescriptive analytics? Boring, perhaps, but no less essential to improving operations in the enterprise.  Continue Reading

• Predictive analytics tools hinge on good data, business expertise

  Predictive analytics helps businesses maintain a competitive edge, but only with the right data. And even then, the most advanced analytics tools can't replace expertise.  Continue Reading

• Efforts to monetize data should be built for the long haul

  Most companies have data monetization opportunities they could exploit, experts say. But a clear strategy and long-term plan are crucial to getting the desired benefits.  Continue Reading

• Don't let a data-driven approach ax judgment from analytics equation

  Data analytics can help improve decision-making in organizations. But human intuition and judgment need to be part of the picture to keep predictive models and analytical algorithms from going awry.  Continue Reading

• Machine learning models take over the software industry

  Just as software took over the broader technology industry a few years ago, we're starting to see machine learning algorithms dominate software. There's good reason for this trend.  Continue Reading

• Emerging analytics tools challenge dominant big data philosophy

  Analytics technologies like the internet of things and cognitive computing mean we cannot have all the data on a given subject. So, what does that mean for big data?  Continue Reading

• Sports data analytics isn't always a slam dunk

  The growing trend of analytics in sports has caused much debate, and even though data-driven decisions can provide some benefits, they're not right for all occasions.  Continue Reading

• Sell your CEO on business intelligence software tools

  Convincing executives and other workers to adopt business intelligence software remains surprisingly difficult. If you aren't selling BI's benefits internally, that might be one reason why.  Continue Reading

• Don't just buy into data connectors in new BI tools

  There's no shortage of data analysis tools promising easy connectivity to a range of data sources. While these technologies are promising, users need to approach them cautiously.  Continue Reading

• Data analysis tools don't create data-driven culture

  Businesses want to be more data-driven, and vendors are capitalizing on the demand with sleek, self-service tools. But it's culture, not tools, that creates a data-driven organization.  Continue Reading