Systems | Development | Analytics | API | Testing

January 2018

Beat the challenges of transitioning to an advanced analytics platform

In Part 1 of our blog, we explored how to get started with BI Analytics in your organization, including the primary business challenges and how to overcome them. BI Analytics is just the start though – most organizations are moving to Advanced Analytics with features such as forecasting, predictive modelling, algorithms, machine learning, and artificial intelligence (AI). Advanced Analytics is all about foresight and getting accurate predictions of what is likely to happen to your business.

When you know Analytics is the right way to go

Companies across many industries have already adopted BI and Analytics to streamline day-to-day operations, customer support, accounting, sales, marketing and other business functions. If your company or department hasn’t adopted BI and Analytics, you may find that this post can help you or your team move into the analytics space – starting with BI and Analytics and evolving to consider leading-edge Advanced Analytics solutions with AI and Predictive Analytics.