Acquiring own Data Science competencies

By Analytics, Casestudys

What were the client’s needs?​

Over the past few years, our client, a leading logistic service provider with 30,000 customers, has centralised its BI function and taken major steps in Data Management. With a view on the increasing speed of technological developments, the need to innovate, and the utilisation of its data assets, we received the request to assist the client with the structure of a Data Science Team. IG&H already demonstrated the added value and potential of Data Science in previous projects.​

What was our approach?​

Data Science is a team effort. A Data Science team includes a range of competencies and areas of expertise and thus various functions such as a Data Scientist or Data Engineer. The team interacts with other teams within a company, such as BI, IT, Marketing, or Sales. Building up and integrating a new team within an existing organisation has a significant impact and faces many challenges. ​

IG&H has its own experience in this regard during the implementation of our Analytics practice. Supported by the best practices that we developed during this process, we were able to assist the client in compiling their own Data Science team.​ In addition to structuring the team, we also focused heavily on the collaboration with other teams and on the management of the new team.

What did we achieve? ​

In a period of 3 months, we have laid the foundation for a new competency that adds value to the organisation right from the word go. This enables the client to lift its provision of services to a higher level and, even more importantly, to remain competitive and relevant in a rapidly changing market.​

Granular share of wallet data for all major product lines for truly data-driven sales management

By Analytics, Insurance, Uncategorized

What they wanted
Make data-driven choices in the broker market: that is what leading Dutch omnichannel insurers want to be able to do. Key questions are: Who are today and tomorrow’s leading brokers? Where do we stand in terms of both volume and NPS? How do we enhance our position to realize sustainable growth? To this end, they wanted to gather in-depth data on volume, movements, share of wallet, and NPS. Read More