Practical example
Integration of a Data Analytics Platform
A data analytics platform often provides the foundation for business decisions regarding product development, cost optimization, and increasing customer value.
Background
“Informed decisions” is a buzzword that is becoming increasingly important. The term refers to decisions that are based on facts.
However, quickly and easily accessing the right analyses and a structured database tailored to a specific research question poses a challenge for existing organizational structures. Particularly when dealing with questions involving diverse data sources—such as market, product, or customer data—it is not always clear who the appropriate point of contact is, and data quality often varies widely.
In order to make efficient use of the company’s existing data, connect those requesting analyses with analysts as quickly as possible, and collect new data in a targeted manner in the future, a centralized, company-wide data analytics platform needed to be established for our client.
Specific task
Establish and integrate a data analytics platform to make existing analyses and new analysis requests accessible company-wide.
KBC's Approach
The prerequisites for establishing and embedding a data analytics platform were the development of the necessary process structures and a corresponding collaboration model, as well as securing the commitment of the business units to scale the platform.
To ensure targeted growth in data analytics, we have established a network among the lead departments and coordinated their activities. Furthermore, we support our clients in the project management of the lead department by:
- Management of various channels to ensure comprehensive integration of the three analysis streams—vehicle, market, and customer data—within this platform
- Development of a comprehensive KPI system for tracking and expanding the platform
- Development of a communication strategy to roll out the platform company-wide
We also support our customers in preparing, conducting, and following up on a series of workshops aimed at defining a process with a focus on ease of use for customers. This included the following:
- Conducting various workshops with relevant analytical units to resolve conflicts of interest among stakeholders and adapt the collaboration model
- Development of a scalable and detailed process flow for the platform's rollout to the business units, including the definition of the necessary roles
- Identification and Preparation of Pilot Projects, with Derivation of Best Practices
