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Business Analytics Products
enherent business analytics solutions leverage a number of advanced analytics technologies including text (or content) analytics, business intelligence and predictive modeling to deliver better business insights. As the volume, variety and velocity of information continues to accelerate, business analytics products enable organizations to:
- Access virtually any type of structured, semi-structured or unstructured content (text) found within and outside the enterprise
- Explore and analyze content and data with dynamic, highly visual interfaces that integrate with other analysis, modeling and information delivery products
- Spot issues and important trends that may fall outside of the normal business reporting channels
- Create additional reporting, analysis and visualizations of key business insights
New and better insights can be delivered to business users across the organization to predict and respond to opportunities and threats with greater confidence and speed. Examples of business applications include:
- 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
Business analytics deliver better business insights that improve decision making, achieve better business outcomes and create competitive advantage.
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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