Apollo Enterprise: Analyse Data Successfully with these 4 Predictive Analytic Models

    JERSEY CITY, NJ, February 27, 2015 /24-7PressRelease/ -- Through their work with a number of successful businesses spanning many industries, sales and marketing firm Apollo Enterprise Inc. have seen first-hand just how much of an impact big data has had on everyday working practices. Data Science, Predictive Analytics, Prescriptive Analytics and Machine Learning are all now fairly common terms throughout the business world, and refer to the wealth of complex mathematical techniques businesses are using to respond to hundreds of common issues. Whether it be fraud detection, inventory management or perhaps even customer profiling, handling big data correctly is proving to be invaluable to businesses and Apollo Enterprise Inc. predict the need is only going to increase over the coming months and years.

About Apollo Enterprise Inc.: http://apolloenterpriseinc.com/about/

With market trends changing so regularly and consumers being somewhat unpredictable in their buying habits, it's now considered more important than ever for businesses to be collecting and analysing data correctly. By taking a proactive approach and using data, businesses are able to identify what it is their target audience want and can adjust their strategies accordingly so that they do not lose out on vital revenue, or lose money through pushing the wrong products to market.

Apollo Enterprise Inc. believe that with data becoming ever more prevalent, even among smaller businesses, it's important for business professionals to understand the 4 key predictive analytic models that businesses can integrate into their existing business practices.

1) Cost Savings
Cost savings deliver value to a business by reducing a business's spending without reducing the quality or service they are providing to consumers. This model then allows businesses to reinvest the money they have saved in other areas of the business. This model is widely used in Predictive maintenance and logistics.

2) Growing Revenue
The second approach is growing revenue. The result of this is improving the quality of a service a business offers in such a way that they either attract a new wave of customers or that existing customers spend more. This approach can help improve the conversion rates between stages within the sales pipeline and reduce consumer waiting times.

3) Increasing Return
This predictive model allows businesses to 'cash in' on financial processes that were due to deliver positive results far more quickly that expected. This model is often used in conjunction with one of the previous 2 models.

4) Managing Risk
This model helps businesses to reduce uncertainty and allows them to make more accurate predictions based on current business knowledge. This knowledge normally provides an estimate of the contingencies that are factored into the ROI calculations, helping businesses to avoid making costly mistakes and undoing all their previous hard work.

Apollo Enterprise Inc. is a New Jersey based sales and marketing firm that helps business reconnect with their target audience through face to face communication. By meeting with consumers in person the firm are able to collect regular feedback which they can then pass on to their clients to aid future product development. The feedback also helps Apollo Enterprise Inc. to keep one step ahead of consumer trends, allowing them to keep their strategies current and continue to generate positive results for their clients.

Apollo Enterprise Inc. is a personalized sales and marketing firm that delivers a high ROI and generates quality leads for their clients.

For more information Follow @ApolloEnterInc on Twitter and 'Like' them on Facebook.

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