predictive analytics

Top reasons predictive analytics are worth it

If you are trying to sell your leadership on switching to predictive analytics, here’s a list of the top reasons that make predictive analytics worth the extra effort. Predictive metrics initially make you aware of shifts in historical patterns — Because predictive metrics are forward-looking, they begin by looking for patterns so they can let you [...]

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How Analytics Are Like Windshield Wipers

How Analytics Are Like Windshield Wipers Imagine you’re driving a Ferrari. You’re going really fast, cruising up and down mountain passes, with nothing in your way. Then it starts to rain. The only problem with your Ferrari is that you don’t have windshield wipers, so you can’t clear the rain from your screen and everything [...]

Machine Learning: Understanding Feature Selection

Feature selection is a part of Machine Learning that can be very difficult to grasp for someone not intimately familiar with statistics. It is the intent of this blog to demystify what feature selection is and the techniques that can be used to accomplish it. What is Feature Selection? Making Predictions and Cluster Analysis are [...]

Large Retailers need to provide quality services to their customers

With Thanksgiving fast approaching, large retailers are relying on Nastel AutoPilot to keep the holiday shopping season successful and highly profitable with uninterrupted services. Heavy loads and high volumes of sales are expected on Black Friday followed by Cyber Monday.  Nastel AutoPilot helps keeping services supporting sales highly available and highly reliable. How Large Retailers [...]

Predictive Analytics in the Supply Chain

Summary:  Predictive analytics are increasingly important to Supply Chain Management making the process more accurate, reliable, and at reduced cost.  To be at the top of your game as a supply chain manager you need to understand and utilize advanced predictive analytics. As a large continuous process the Supply Chain has been extensively studied and [...]

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5 Applications of Predictive Analytics

What’s in a name? For predictive analytics, quite a lot the name tells you the basic premise of what the practice hopes to accomplish. Predictive analytics is about using existing data about past events to put the present in context, and forecast potential future events and how to handle them. In other words, learning to [...]

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The importance of big data and analytics in the era of digital transformation

As organisations begin their digital transformation journey, big data and analytics can play a key role in it being a success. Big data means better business Data is an enabler of future strategies and immediate change, thanks to the power of predictive analytics and advanced data science. Correctly harnessing data can help to achieve better, [...]

Predictive analytics: The key to pre-empting customer service problems?

As business professionals, we are continually bombarded with messages about the value of data. It is like the new gold rush, with many companies focusing on collecting data in more sophisticated ways from as many different sources as possible. Sadly, relatively few organizations have worked out what to do with all this information (probably because [...]

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CIO: Healthcare predictive analytics important to population health

Without health IT, healthcare organizations would not be able to effectively manage their patient populations or to transition to value-based care, according to Jon Russell, CIO at John Muir Health in Walnut Creek, Calif. The key to effective population health management and value-based care is to effectively aggregate health information from disparate systems. To do [...]

How are business intelligence and predictive analytics different?

Here's the short answer: Business Intelligence attempts to make sense of what has already happened, while predictive analytics uses information about what has happened in the past to project what might happen in the future. Both business intelligence and predictive analytics applications analyze historical data, but predictive analysis uses data to model probable future events. [...]

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