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Data Science Strikes Back

Data science uses scientific methods such as statistics and mathematics to inform and more importantly provide guidance based on trends, behaviours and analytics of a company's data. Many organisations are still not embracing the power of Data Science and overlook the fact that it can help them solve many problems by using a broad range of interfaces and techniques available in today's Data Science world.

From interactive notebooks like Jupyter, instant visualisations like Plotly, forecast models such as Prophet or even using machine learning, the Data Science landscape provides access to the right technology at every stage along the journey.

"Having accurate data in your TM1 and Planning Analytics system is just one part of the job — the second part, which is even more important, is to understand your data. This is where Data Science can help. Data Science will help you to improve how you make decisions by better understanding the past and predicting the future."

Next Episode

Understand and see what is possible when web frameworks are used to create sophisticated PA/TM1 applications:

  • Canvas for PA/TM1

  • AngularJS and Bootstrap

  • Google maps, SheetJS and much more

Previous Episodes

  • Episode I: The Excel Hell Menace

  • Episode II: The Attack of Best Practices for Hierarchies

  • Episode III: The Revenge of TM1 Web

  • Episode IV: A New Hope with the TM1 REST API