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Business Analytics Solutions

Today, we live and compete in an information-driven economy. With the dramatic increase in online collaboration and an endless stream of new media, collaborative relationships and the collective intelligence they create are becoming increasingly crucial to business success. And with more than 80 percent of business intelligence contained in text, according to industry analysts, uncovering, understanding and harnessing that data is a critical business challenge. Further, according to Gartner, the amount of text or unstructured data is doubling every four months.

Business analytics uses advanced analytics technologies to analyze text and structured data to deliver better business insights that improve decision making and achieve better business outcomes, faster. It fuels new forms of innovation and enhances the speed of that innovation to create competitive advantage.

 

 enherent Business Analytics

 

Using text analytics, business intelligence and predictive modeling technologies, enherent business analytics solutions create significant value in areas such as:

  • Fraud detection
  • Risk management
  • Voice of the Customer (VOC) including customer service, retention and acquisition
  • Marketing optimization
  • Reputation management
  • Community-driven product innovation
  • SOX compliance
 
Emerging Business Intelligence (BI) technology will enable the adoption of BI by small and mid-sized businesses, as well as the delivery of BI as a service. This compelling argument is made In a new publication by IBM that features research from Gartner. A key quote from this publication summarizes the argument:
 
“While earlier generations of Business Intelligence (BI) and analytic tools were indeed sized, priced and configured to appeal to enterprise organizations, that’s changing. Midsize enterprises that may have tried – and failed – to implement an enterprise solution, settled with using excel-based spreadsheets for all their needs or, worse, opted themselves out of the market entirely, are no longer forced to do so. This is critically important for these organizations, as they often find themselves in the same competitive ring as the largest companies. They’re forced, in a sense, to fight above their weight class and as a result require greater insight and agility to outflank their larger competitors. In-memory analytics will level the playing field for midsize organizations”.
 
To read this publication, follow the link below:
 
 
  
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