In the beginning, there is usually a problem that the company does not know how to deal with because it does not have enough data - it may be the need to use warehouse capacities more efficiently or the unclear benefits of marketing campaigns. At the end, there is not only a solved problem, but also a technical solution and a change in the company's culture, which allows workers from all departments to get the data they need at any time, optimization of a whole range of processes and, especially important for management, visibility into places and processes that previously remained hidden.
Based on proven methodology and our experience from multiple transformation projects we have prepared an approach to guide an organization through the change. The approach is flexible and tailored based on the needs of the particular organization, its technology stack and its data maturity, with the aim to bring tangible business results fast and at the same time lead to sustainable results.
Creating an analytics strategy is a fundamental building block, because without it, most data initiatives end in failure. It provides an overview and timeline of the steps and what is needed to implement. This first phase also includes a Proof of Concept.
This is followed by the second phase, in which data models are built, and further use cases are implemented and the so-called data culture is disseminated across teams and users. In other words, we teach you to use and benefit from the data. Different areas in the company, from marketing to sales, logistics to the management itself, start to use data in their daily work.
See examples of how we use data to solve individual use cases and business areas during the analytical transformation.
Book a free initial consultation with us, where we will show you how the entire process from strategy to data-driven enterprise could look like in your specific case and what benefits you can expect from this fundamental change.