BI & Data Innovation Roadmap

A pragmatic approach to define the priorities in making your business more data-driven

for whom?

For organizations that need to upgrade their BI landscape and consider data as an asset in future business models. 


  • IT-led, business oriented opportunity mapping
  • Visioning about future state data landscape
  • Drafting quick win project charters


  • Tangible results for business people
  • Accelerated digital transformation
  • Fail fast, zero lock in

Can we help you?

Contact us

Value Proposition

The exercise starts with an assessment of the current use of data by business users. This assessment forms the starting point for the elaboration of Data & Analytics roadmap. This roadmap produces not only an overview of the mid-term priorities, but it also defines the short-term actions to take in a very concrete list of projects. Each of these projects is defined by means of a project charter (scope, timing and cost).

Our references

Pricing Plan


(Revenue < € 1 billion)

€ 15 000/year

Packaged consulting services

8 interviews

Future data architecture

4 project charters/year

€ 2 500 per extra project charter

3 year contract

Corporate Package

(Revenue > € 1 billion)

€ 30 000/year


Packaged consulting services

15 interviews

Future data architecture

4 project charters/year

€ 2 500 per extra project charter

3 year contract

Excl. SW licenses

Packaged consulting services:

  • SME Package: limited to 10 mandays/year
  • Corporate Package: limited to 20 mandays/year

Right to use IP

Early termination fee: 1 year

Our expert

Edel Boone

Edel Boone is the lead of the Data Management team. Started once as a traditional enterprise BI consultant, Edel has gained more than 10 years of experience in the domains of Analytics, (Master) Data Architecture and more generally Data Management. With a strong business focus, coming from his background in economics, Edel now uses this expertise as a trusted advisor for organizations that struggle with the organization and use of data. For him, the ultimate goal is to assist organizations in finding an answer to the following question: In a digitalized world, how should we organize our data and ourselves to become more data-driven and to reinforce innovation by getting the maximum out of our data?

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