At the Data Natives Conference in Berlin for three days it was all about data, technologies and innovation: 4 stages, more than 100 speakers and around 1,600 visitors. This year etventure was also part of the event, represented by Principal Marc Weimer-Hablitzel. In his speech “Big Data is dead” he explained how companies can generate real added value from their data.
Data Thinking: Impact first, Data second
“Data is the new oil” – This popular statement may be correct, but unfortunately very few companies know what to do with the raw material data after they have collected it. “Even today, most companies still don’t know where their strategic data potential lies,” explained Marc Weimer-Hablitzel in his presentation. “And data projects are failing by the dozen because companies are setting the wrong focus.”
The method of data thinking therefore uses a new approach: The first step is to find out in which use cases there is the greatest potential, then to prove this potential and only then – but then consistently – to design the data generation. “In order to really benefit from machine learning and AI, you must not limit your design to the data you currently have, but must orient yourself to what you optimally need. This is the basis for your data strategy,” says Marc Weimer-Hablitzel.
5 Facts on Data Thinking
- Data Thinking combines Data Science with the proven innovation method Design Thinking to a holistic approach.
- First, suitable use cases with high, measurable business impact are identified. It is important not only to look at the existing data, but also to consider which data is really needed.
- By the continuous check of pre-defined hypotheses, deficiencies in assumptions or the data landscape are identified at an early stage.
- The focus is always on the user’s perspective – entirely in line with the Design Thinking approach. It is ultimately the user who decides whether a project is successful or not.
- Breakthrough, data-driven use cases trigger a rethink within the organization. Thinking continuously with data enables enterprise-wide digital transformation.