We guide organizations in their journey to become data driven

This journey is enabled by Digital Twins and Artificial Intelligence. We help by focussing on the domains of data, analytics, ICT, people and processes. These are the five domains of the formula for a data driven organisation and we define them to meet your strategic goals and business drivers.

Our modular & flexible approach

Our approach is modular and can be tailored to your specific needs. It defines the stages required to evolve towards a data driven organization. Depending on your maturity and the stage you are in, we can adjust the approach to assist you in your transition.

Maturity
index

The Data Maturity index quickly provides you a fingerprint of your data organization. It scores your organization in the domains of Data Access Management, Data Literacy, Data Quality, IT Data Management, Culture and People, Security, Privacy and Risks. 

Via interviews and a questionnaire we will be able to define your as-is, challenges & risks and the next steps to evolve towards the aspired to-be state. 

Interested to find out your maturity index?
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The journey
doesn’t end there

Proof of Value

Our workshop approach covers identifying use cases, mapping business process optimalizations, completing a use case canvas covering the needs and challenges of the stakeholders, defining the required data sets and clickable mock ups.
This apporach helps you to clearly define the scope for implementation and we will provide a deployment plan including next steps.

Maturity index

We define your as-is and to-be situation by doing interviews to complete a data framework. These insights will be consolidated into tangible next steps. 

Business Case

The Business Case approach defines the benefits and the costs of use cases. We collaborate with key stakeholders in the organization to identify and quantify risks and opportunities.

Data Strategy

This puts all the different pieces of the puzzle together. Our methodology helps to define a clear vision and ambition, taking into account the required organizational structure, technology, people and processes to operationalize the data driven organization.

Implementation

During the implementation phase we apply an agile approach. This aims to maximize the value of the scope, while each sprint delivers working software that can be tested and used by the end user. We will deliver small, consumable increments and continuously evaluate the results in order to adjusts accordingly and maximize value.

Support and Maintenance

Support and maintenance aims to ensure operation efficiency of the platform and applications by clear SLA agreements, hand over to the operational team, release management and bug fixing processes.