Turn Data into Products – from data scientist to data business owner
An increasing number of companies are assigning a business value to their data assets. As a result, the revenue generated through data and analytics-based business models is becoming a key indicator of digital success.
In 2018, data-based business models and analytics-based solutions generated around €225 billion. Whether as „embedded analytics“ within a business solution, as a dashboard within an app, or as an integral part of an IoT platform, analytics functionality is one of the most integral and success-relevant components of digital products and platforms today.
This whitepaper helps use understand how data scientists are gradually taking over more responsibility for the economic success of the data business and the selection of the technology that supports it.From a technology perspective, time-to-market, performance, the analytics experience, as well as the easy integration of as many data sources, APIs and clouds as possible, are shaping the selection of suitable data and analytics platforms.
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