Inhouse COE Setup
Building an Inhouse Centre of Excellence
Depending on the use case, scale, expertise required and the right balance between time and money, some organization intend to build their own inhouse data engineering and data science program. We’ve been part of designing and building multiple data science programs for our clients and bring in deep insight and expertise into creating a highly effective and efficient inhouse data program.
Setting up the organization design
The key aspect of building the most effective data science program is by designing how would business teams interact and co-create solutions with the analytics COE and also transcend business functions to build more interconnected solutions
Spotting and nurturing talent
Finding the right talent and creating an ecosystem for continuous learning in the ever-evolving world of data engineering, data analytics and data science is a global challenge. Our frameworks and program designs have proven to find and build talent for our clients
Building problem solving frameworks
The secret to solving problems at speed and scale are the pre-fabricated frameworks and problem-solving artefacts which brings structure to an otherwise muddy and fuzzy world of data-based problem solving
Setting up the infrastructure and ecosystem
Designing and setting up the right technology stack and infrastructure is crucial to keep the program efficient from day zero. This is an extensive exercise to find an optimal balance between resources and requirements.
