How might we we build an inside driven organization by using data analytics?
The main pictures show a Deloitte supply chain showcase from the Digital Factory. Please contact Britta Mittlefehldt from Deloitte for further details about this supply chain solution.
- For/Year: Analytics Consulting (2016-2020)
- AI/Tech: Multiple
- Design: Design Thinking & Prototyping
From 2016 - 2020, I worked employed for the Deloitte Analytics Institute. In the first years, we explained the value of analytics to our clients. We used storytelling to describe business insights, and we visualized showcases. The topics ranging from predictive maintenance, sentiment analysis, benchmarking, portfolio analysis, geospatial analytics, customer analytics, telematics, and anomaly detection to insight-driven organization optimization.
Over the years, our clients and we became more mature with applied analytics. Larger companies established analytics competencies departments. Rather than developing fragmented use cases, we consulted them on how to prioritize use cases and how to build technical and organizational structures to be more efficient. The challenge is often to know which data to collect for current and future use cases.
Internally, we build different capabilities, such as the data strategy team, legal engineers, backend engineers, cloud architects, and UX designers.
Analytics Strategy 2019/2020
We developed new formats to identify and prioritize data-driven use cases by combining methods such as the Strategic Choice Cascade and „Where to play and how to win“ by Roger Martin, to understand how the overall company strategy applies to a data strategy. We used the Design Thinking approach, mainly user research, to understand user needs and create segments that we matched to the existing use cases. This use case overview helped us to identify gaps in knowledge.
Machine Learning Canvas + Customer segmentation + Mockup of data modelling tool
The Machine Learning Canvas by Louis Dorard is also a helpful structure once you go deeper into any use case evaluations. The format helps to collect technical requirements on data and data infrastructure.
Team: Data strategy framework developed with Anna Ryzhova