Data & AI

It starts with a data maturity scan to assess the data organisation on multiple aspects, like: leadership, people, culture, technology, processes etc. This provides a healthy snapshot of the current situation.

Defining a vision and data strategy is key to set priorities, goals and to move the entire organisation into one direction. Transparency, collaboration and clear objectives are essential in this process.

Defining the right organisational model depends on the data maturity of the organisation. We believe that decentralised, centralised or hub & spoke models should be tailor made based on the needs of our clients.

When organisations already have a clear data strategy and organisation, it often happens that the results are lagging. A data literate organisation will help to increase speed and impact of using data. We support our clients in setting up data literacy programs to achieve their business goals faster and more efficient.

Combining and making data available in this current day and age is crucial that allows organisations to achieve the gold standard of a data-driven organisation. In essence, a well-functioning and optimised data platform architecture can provide the necessary functionalities to maintain existing infrastructures, new capabilities and ensures data integrity that can be made available for (business) users or other systems through (advanced) analytics.

We combine the best current data platform architecture practices and our experience to help our clients with a uniquely designed solution to be more data driven.

Our team of experts combine proven methodologies of CPM with state-of-the-art data-driven solutions to enable organisations to succeed in their strategic goals. Therefore, we offer customised solutions to our clients including reporting, dashboarding and process optimisation.

As a result, our clients have better fact-based decision-making, are more adaptable to the changing environment and enhanced strategic planning which together lead to an optimized Return on Investment (ROI).

In most cases, however, there is a lack of a suitable strategy as well as the corresponding know-how to make acquired data actionable. We already support our clients in both dimensions with the help of methods we have developed ourselves and our extensive expertise in a wide range of technologies. We design efficient data & analytics processes and support you with methods we have developed ourselves and with our strong technological expertise & strategic alliances.

We help our clients to get more value out of their data with visualization- (i.e. Power BI, Tableau, Qlik), reporting- (i.e. SSIS, SSAS, SSRS, Nprinting, Cubes- Tabular) and analytics tooling (i.e R, Python, KNIME, SAS, Hadoop, Spark, Cplex).

To make Date Governance work, all critical stakeholders should be involved, especially the business users should be the owners of the Data Governance initiative (and not the IT department). The IT department should deliver software deployments and the framework to ensure master data management, data quality, security etc.

The need for Date Governance is growing because data volumes and sources are increasing, resulting in more data inconsistencies. Date Governance is key to prevent organisations making decisions using incorrect information.

We assist our clients to achieve higher productivity, cost efficiency and more agility to adept and respond to the changing world by using Data Governance for business processes & strategy to make better decisions.