De toenemende beschikbaarheid van big data in combinatie met nieuwe technologieën zal er naar verwachting voor zorgen dat de waarde van de predictive analytics markt in 2022 zal groeien naar $ 12.41 miljard. Predictive analytics zit dus in de lift. Maar wat is het nu precies en waarom is het zo belangrijk?

As a company that touts the benefits of a full end-to-end BI solution, we certainly know the value of a data engineer. The data engineer’s job is to extract, clean, and normalize data, clearing the path for data scientists to explore that data and build models. To do that, a data engineer needs to be skilled in a variety of platforms and languages.

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There’s been a lot of talk for many years about the significant value of data to the corporation. So much so that we often hear pundits state how data is the new oil of the digital economy. There’s a lot of truth in this assessment. Today, data is the most valuable currency a company possesses.

Many organizations are grappling with how to effectively extract value from the vast, ever increasing amounts of data. According to a survey by Gartner, Inc, 87% of organizations have low business intelligence and analytics maturity