EyeOn is a management consulting company specialized in integrated business planning, supply planning, demand planning, and financial planning with more than 150 customers, including KraftHeinz, Philips, Stryker or Cargill. The company has shifted their methods surrounding data processes to keep up with today’s increasingly competitive and AI-driven world.
For the data science and solutions team at EyeOn, which is made up of 16 people, one of their biggest challenges is the quality of the data they receive. They often have very few data points on which to base predictions, and multiple data sources that must be joined together, which means that they have to do a lot of data wrangling in order to even get to a good starting point from which to build models.
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In the past, the team had to employ a veritable cornucopia of tools to serve their clients and deliver planning and forecasting reports at a regular cadence. The amount of different tools, developed by various people over the years proved to be unwieldy when dealing with complex datasets. In addition, processing power (working on personal laptops was common), security, and data integrity were major hurdles.
EyeOn decided to make a change not only because of these challenges, but because they wanted their business to be more scalable, agile, and innovative. Given the advancements in the planning and forecasting space, having the flexibility to pivot and use new technologies and data science techniques represents a huge advantage.