Data-Centric approach & platform strategy
Placing data at the heart of the company’s assets and initiating a Data culture
The success of agile data management is linked to the appropriation of the new paradigm by employees and managers. The challenge is to enhance the value of data sharing.
Our approach
Adopting the concept of “Data Self-Service”
The adoption of a Data Self-Service organization requires a willingness to change the way things are done. It is therefore essential to identify at the beginning of the project the business perspectives, concerns and impacts in order to anticipate future problems.
Alignment of financial and technological experts
Identification of stakeholders and their concerns
Measuring the added value
Launching a Pilot Project
Placing the data into self-service
Based on the experiences of financial players who have taken the step towards “Data Self-Service”, the benefits identified are facilitated management, increased efficiency and increased team autonomy.
Putting in data each exchange
Making each activity a software solution
Disseminating the data
Applying advanced algorithms
Platform Strategy
Platforms have become one of the most important business models of the 21st century. The main banking players are now basing their transformation on this type of approach.
Adopting a “platform strategy” eliminates technological obstacles and make it possible to exploit the company’s essential resources.
Eliminate friction between engineering teams to deliver services to customers faster;
Make business intelligence and capabilities accessible to facilitate innovation;
Experiment with all the company’s resources to test new ideas and remain competitive.
Governance of agile data
Our exchanges with stakeholders in the banking sector showed that the often rigid implementations of data governance have failed.
At the heart of the components of Data Governance, the Data Catalog refers to all data assets. It has therefore evolved to meet the need for collaboration between teams and the need for tasks automation.
To guarantee the success of a Data Catalog implementation, we support our customers in the choice and implementation of this new generation tool that facilitates the deployment of agile data governance.
Download “Data Catalog approach” (FR)
Our case studies
Création d’outils industriels de traitement de données ESG
Data Catalog : Etude de marché et sélection d’un outil / MVP
Shareholding Disclosure (SSD)
Related insights
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by Pierre Bittner | 12.03.2019 | Article
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by Pierre Bittner | 04.01.2019 | Article