Analytics need to compel action from business leaders - Elif Tutuk

Data Transformers Podcast
Analytics need to compel action from business leaders – Elif Tutuk

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Episode Title : Analytics need to compel action from business leaders – Elif Tutuk

Episode Summary: The holy grail of any data project is business insights driven by analytics. According to Elif Tutuk, VP of Innovation and Design at Qlik, analytics can’t be in isolation. It has to integrate with data, data governance, data management. And also process automation that goes with it. Data is messy. Whatever be the ease of use on the analytics side, data prep is necessary. One shift is data catalog to analytics catalog. Analytics catalog could be modeled after a netflix like model where people can upload models and consumers can rate the models. Humans trust humans so reviews will be important.

Topics discussed in this episode:

1:28: Elif Tutuk is the head of Innovation and Design. One part is focused on research and the other part is on the design. 

3:10: Current innovation is around augmented analytics. But analytics can’t be in isolation. It has to integrate with data, data governance, data management. And also process automation that goes with it.

6:00: Providing the right insight to the right people at the right time. That pushes analytics to the edge. From a consumption viewpoint. Having the right contextual information is important because data sources are plenty and it is not just for human consumption. 

10:13 (Headliner): Data is messy. Whatever be the ease of use on the analytics side, data prep is necessary. Technology is ready with integration. Tracking the changes is very important. One shift is data catalog to analytics catalog. Collective intelligence is important where data consumers and producers collaborate.

14:30: Analytics catalog could be modeled after a netflix like model where people can upload models and consumers can rate the models. Humans trust humans so reviews will be important.

18:20: Throwing terminology at the business user is no way to solve a problem. But data literacy and enabling the users to touch the data is important. 

21:30: Start with what problem needs to be solved. Then creating a user journey is the next step. Supporting data integration, catalog, analytics, and automation are key.

25:00: Being agile is important to meet the user needs. Having user designers along with product designers is very important to addressing the needs.

28:00 (Headliner): Process is very important for innovation. Business feasibility is important.

Resources mentioned in this episode:

Podcast website: https://DataTransformersPodcast.Com

Data Transformers Podcast

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