SAS 70

May 21 2019   5:35PM GMT

The Importance of Predictive Analysis

Keith Harrell Profile: SAS70ExPERT

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No matter the industry, many firms can benefit from using predictive analytics to improve their business. Whether it’s a Banking and Financial Services company that needs to analyze their customer’s data to detect and reduce fraud and measure credit risk, Health Insurance companies who would like to know which patients are most at risk for chronic diseases and what the best treatment methods and interventions will be or Manufacturing companies who would like to optimize distribution and service processes or identify and reduce quality and production failures. Of course, we can’t forget how much anything digital and ecommerce related can benefit from predictive analytics. Online Retail stores can use predictive analytics for countless activities including forecasting what merchandise is likely going to sell well, when to order and stock certain items, what items will appeal to particular markets, and it can help predict how effective certain promotional activities will be. Predictive Analytics is useful in an array of business settings because it has features that are useful to many different industries. Some of the most important and widely used include:

Detecting Fraud and Reducing Risk

The pattern detection helps spot criminal behavior and prevent it. Analysis can be done in real time to spot abnormalities and inconsistencies in order to fix the problems as soon as they arise.  

Improving Operations

It can help with managing resources and forecasting inventory needs. This ultimately helps businesses operate more effectively and efficiently.

Optimizing Marketing Campaigns

Predictive Analytics can be used to determine customer responses or purchases and can be helpful when trying to identify cross-sell opportunities. These forecasting models can help with identifying and retaining loyal and profitable customers and is tremendously valuable for companies whose activities involve digital marketing and ecommerce.     

Why YOU need to use Predictive Analytics

In the current market, data is constantly being collected and analyzed in order to be used to optimize business processes. It’s no longer a question of whether or not a company should utilize predictive analytics since using predictive analytics doesn’t set companies apart from one another anymore. Especially in digital marketing and ecommerce, all successful firms use forecasting models to their advantage, that’s partly what makes those successful companies so successful. It’s become more of a necessity to understand and embrace predictive analytics in order to remain a competitive player in the industry. With improved technology and easy-to-use software, mathematicians and statisticians are no longer the only ones who can understand and apply forecasting models to make strategic decisions, making this technology more accessible to a wider audience. With time, forecasting will only continue to grow, so it is important to stay up to date with the latest technology and knowledge surrounding it.   

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