Your scan results
Our advice
Leadership
Create a leading coalition of employees throughout the organisation to further define strategies. Actively build a knowledge base with some outside support (facilitation and expert knowledge). Organise workshops, masterclasses and management training around data science. Create a long-term plan on how data science practises will take shape for your company. Free up budget to develop data science initiatives, pilots and training.
Our leadership specialist
Martin Haagoort
CEO Intellerts
Data
Investigate your data landscape, i.e. what are the key data sources, systems of record, data warehouses, data marts and external data sources in use. Perform a data quality measurement of your key data assets. Extend your data management strategy to include work plans for key departments involved. Distinguish data management for primary company processes from data management practises for analytical processes, but make sure there are clear connections.
Our data specialist
Glenn Elberse
COO Intellerts
Business Analytics
Create a bimodal set-up to separate the operational reporting environment from an analytical sandbox/data innovation – i.e. data science development environment. Stabilise your business intelligence environment, assess the possibility of establishing self-service BI. Invest in data storytelling – focus on successful consumption of analytics in decision support processes.
Our business analytics specialist
Dr. Paulius Danėnas
Senior Data Scientist
Data Science
Build an understanding of the value of data science for your company. Seek external support to assess usefulness and measure against your competition to determine your company's position. Obtain management agreement on the need for data science expertise and stress its urgency. Seek external expertise in key data science roles.
Our data science specialist
Dr. Darius Dilijonas
CTO Intellerts
Tooling & Infra
Optimise your data science implementations by automating data and AI processes (DataOPS and AIOPS). Ensure an end-to-end approach – from experimentation to production – for data science applications. Apply DevOps practises.
Our tooling & infra specialist
Thijs Rademaker
NVIDIA
Cihangir Kocak
Business Development Specialist
Laurent van Veen
Solution Consultant
Team
Create a sense of urgency in the organisation to invest in analytical talent. Make this part of your company's recruitment strategy. Ensure a solid understanding of the various competences needed. Define various data science roles and responsibilities: data engineers, data analysts, business translators, modellers, machine learning experts, software engineers, visualisation experts, etc.
Our team specialist
Niels van Rees
CCO Intellerts
