How to use Predictive Analytics to Generate Efficient and Effective Results

Predictive analytics can feel daunting. Questions we get asked are: What are the right technologies to use? What skills do I need in my business to get started?

To help you understand and feel more comfortable around this topic, we’ve decided to do all the hard work for you by partnering with the very best technologies in the game - Alteryx and Tangent Works! Alteryx effortlessly handles automated data preparation and cleansing, whilst Tangent Work’s ingenious product TIM (Tangent Information Modeller) creates predictive and anomaly detection models in seconds for faster and better forecasting. Together these two bits of kit are a force to be reckoned with!

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To give you a glimpse at this power, we’ve devised a use case demo, showing you how to predict the electricity demand for an organisation based on historical load demands. Bare in mind that although this demo is based on electricity demand, it’s just as easy to apply this to any other use case you can think of!

Here are some examples of other uses of predictive analytics that TIM can handle…

  • Hospital Admission Rate Forecasting

  • Forex Trading Forecasting

  • Retail Sales Forecasting

  • Sales Planning

  • Event Adjusted Budgeting

  • Plus whatever your imagination can come up with…

The beauty of TIM is that it requires no coding or data science skills to get started - simply plug in the data, select what you would like to forecast, and TIM handles the rest.

What makes TIM special is the ability to perform what’s known as “Real-Time Instant Machine Learning (RT Instant ML)”, meaning it handles the predictive model building and training each time it runs. This allows you to stay ahead of the curve and remain agile to changes in your dataset.

Rather than us babbling on about how all of the above works, let us show you in our demo. If you’d like to discover more with a personalised private demonstration we’d be delighted to show you what we can do - enquiries@continuum.je

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