Predictive Analytics Use Case: Predictive Analytics Using External Data!

Predictive Analytics Use Case: Predictive Analytics Using External Data!

There is a lot of information within your enterprise, and being able to analyze that information is crucial to decision-making and to managing your business and predicting results with efficiency and accuracy. But, when it comes to information, the average business may have quite a bit of data within its walls but, it often falls short of painting a complete picture because the data it needs is not maintained within its internal systems.

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Predictive Analytics Use Case: Human Resource Attrition!

Predictive Analytics Use Case: Human Resource Attrition!

You probably know how much it costs to recruit and hire a team member but, do you know how long that team member is likely to stay in your employ and what factors will cause them to stay with the company or seek greener pastures? If you can’t anticipate the need for resources, you are likely to be short-handed at the wrong time, or to experience frequent turnover that will significantly impact your business success and your ability to get the job done.

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Predictive Analytics Use Case: Product and Service Cross-Selling and Upselling!

Predictive Analytics Use Case: Product and Service Cross-Selling and Upselling!

If you want to make the most of your product and service portfolio, you must look for opportunities to cross-sell and upsell your clients and to bundle services to attract new clients. With the right information, business managers can leverage customer satisfaction to cross-sell and upsell products and services, and to increase revenue and brand loyalty.

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Predictive Analytics Use Case: Fraud Mitigation!

Predictive Analytics Use Case: Fraud Mitigation!

Fraud costs businesses millions of dollars per year, and the resources and effort required to mitigate fraud can take precious focus way from core business initiatives. But enterprises must address this critical issue, if they are to protect their interests and the interests of their partners and customers. While one may think of fraud most commonly associated with financial and banking organizations or IT functions or networks, industries like healthcare, government and public sector are also at risk. And fraud can take many forms and affect the supply chain in numerous ways.

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