Centre of excellence for data management

Data management encompasses a number of interconnected domains (governance, quality, MDM, architecture or integration).  It can be a daunting prospect for any organisation. Moreover, because of the growing complexity of business, organisations face differentiation in their data. This increases the need to develop and deploy a unified data management strategy.

Many clients are looking for support when gathering key stakeholders and deciding on objectives and next steps towards meeting their data challenges. We provide support by assessing the maturity of data management practices and defining a roadmap to achieve the desired state and become a data-driven organisation.

When the number of local data initiatives increases and the need for an agreement at corporate level arises, it is usually the time to define the appropriate governance structure for the organisation’s data.

We offer guidance and benchmark on data governance, including the definition of operating models (centralised, decentralised, federated), the creation of governance entities (chief data officers), the definition of roles and responsibilities across the organisation (data owners, stewards, custodians, architects) as well as the selection and implementation of technologies. 

Do you see the big picture of your organisation’s data? Do you understand what type of data is flowing through your systems? Along with data governance, we believe data architecture is essential for your data management practice.

We deliver data architecture as-is and to-be through data models and flows. We support organisations in implementing the right mechanisms to maintain a coherent and enduring architecture.

Master data management (MDM) usually starts with a tool (such as ERP, CRM, e-commerce platform). But when it comes to enterprise-wide MDM, many organisations are looking for support to define and, most importantly, maintain their master data.

Our team provides guidance on defining MDM operating models (registry, consolidation, co-existence, centralised) and stewardship practices, including match and merge rules definition: a key exercise for creating your single source of truth.

In many organisations, knowledge of data assets (and where to find them) relies on individuals. A data catalogue is a solution to move this knowledge from individuals to a central repository widely accessible to all data, IT and business professionals in the organisation.

We offer a methodology to imagine, implement and maintain data catalogues from the identification of business cases, to the catalogue’s structure and workflows, as well as the selection and implementation of a technology.

Do you know your data? Can you evaluate the impact of a change in your systems? Because metadata management is your best ally for a sound data governance, we strive for our clients to answer yes to these questions.

In order to achieve this objective, our team supports them by creating data standards and processes for integration and interoperability. We also provide guidance for the implementation and the maintenance of effective data lineage as well as the selection and implementation of technologies.

Do you trust your data? What is the level of confidence in your reporting? Data quality is a critical material for any organisation that aspires to make data-driven decisions. While data engineers need the right tools to monitor data across its life-cycle, it is data users who should be empowered to define the rules and monitor data quality to allow senior management to make informed decisions.

Our team supports organisations to define data quality frameworks and processes. Striving for efficiency and avoiding burdensome over-engineering. we provides guidance for data quality rules definition, along with dashboarding, technology selection and implementation

Governments and regulatory authorities are issuing demanding data privacy and protection laws to protect citizens’ rights of control over their personal information. These requirements challenge organisations in various ways including, data collection, storage, retention, access, deletion and overall security.

Our data team collaborates with our compliance experts in order to provide guidance on data privacy and protection and ensure our clients implement the right mechanisms to enforce regulation by design (ex: GDPR).

When organisations are facing continuous increases of the volume of data and metadata they collect and that the situation is challenging their IT capabilities, one solution can be to migrate the data to a data platform. The data platform (or data lake) is your integrated technology that allows you to collect, store, transform, analyse, govern and deliver data to users.

Our team supports organisations migrating their capabilities to scalable cloud data platforms, including the identification of business cases, the definition of platforms’ architecture and governance, as well as the selection and implementation of technologies.