CCI Hauts-De-France
Catalog and enhance the data heritage of the CCI Hauts-de-France network
The Need
Enhance a data heritage through a new data strategy
The CCI Haut De France aimed to implement an effective strategy to fully leverage its data heritage. This initiative stemmed from the realization that the accumulated data over time represented a valuable yet largely untapped resource. To achieve this, it was crucial to define a clear roadmap and equip the organization with the right tools and expertise.
The Challenge
Define a data roadmap with an associated timeline, prioritize key structural elements, and incorporate constraints.
It was essential to define a data roadmap supported by a detailed timeline, incorporating both technical functions and the needs of the company’s various business units. This approach requires close collaboration between teams to ensure that all stakeholders are aligned on objectives and priorities.
Once this roadmap is established, prioritizing key structural elements while considering technical constraints is crucial. This ensures an efficient and gradual implementation of the data strategy, minimizing risks while maximizing the overall impact on the organization's performance.
Our Approach
Define a structured strategy to achieve a unified model and a detailed roadmap.
Our support and recommendations enabled the definition of a structured data strategy by precisely identifying key stakeholders, actions, and deliverables:
- Initially, we assessed the technical and functional context as well as the existing legacy within the databases. This involved reviewing various applications and services to define a relevant model.
- Next, we established the foundations of a quality framework and evaluation criteria (KPIs) to support the structuring of the data strategy. These criteria helped prioritize the major structural elements and identify the most strategic applications and services to be upgraded first.
This preliminary work led to a unified data model, providing a clear overall vision of the key steps and deliverables required for the data strategy implementation. A detailed roadmap, along with a projected timeline, was developed to ensure a smooth and efficient transformation. Beyond the strategy itself, special attention was given to the organizational structure and methodology, ensuring governance committees and subject-matter experts could drive the necessary momentum and oversight for successful execution.
The Result
A data model providing a clear vision of the strategy.
Thanks to this structured framework, the company was able to better challenge its various data flows, the aggregation and quality of its data, as well as its restitution to different business departments. This enabled a clearer understanding of certain datasets and files that were already in use, but more importantly, it helped identify unaggregated or unexploited data sets and generate ROI through associated analyses.
The organizational structure—establishing a Data Governance Committee, implementing data management and quality rules, among other initiatives—allowed CCI Hauts-de-France to gain autonomy and set up governance bodies capable of adapting to future business evolutions.
Establishing a data valorization strategy is, above all, about aligning data sources with KPIs.
Kevin GUEZENNEC
Senior Data Consultant at Smile
Leverage Wesco's e-commerce data to establish a relevant and efficient roadmap
Redesigning Camif’s E-commerce platform to support its strategic ambitions
Tightly controlled product data for a smooth and seamless customer experience!
Streamlining a digital ecosystem of over 200 sites
Introducing IDEA's business teams and leaders to Generative AI