Break down silos, accelerate ROI: Data Strategy
According to the 2025 Gartner CDAO Agenda Survey1, only 22% of organizations surveyed have pre-established metrics to measure the effectiveness of their Data Analytics tools and Use Cases.
Every company interested in building or updating its Data Strategy is called upon to reflect on its motivations, what are the key processes impacted, how to adapt its technology stack in a new architecture, which Use Casess to identify to test its approach to data.
With over two decades of experience in the field, our team helps large enterprise players redefine how sources can turn into data points, integrating heterogeneous systems to enable cross-functional Use Cases for key stakeholders.
Our approach explores all the main business, technical and organizational dimensions:
- Business Strategy and Objectives: Definition of motivations, expectations, principles and key features
- Business Architecture: High-level analysis of impacted key processes
- Data Sources, Technologies, Formats: As-is analysis of the application landscape, the infrastructures involved and the data formats present
- Data Use Cases Mapping: Contextualization and quantification of business demands, with related owners and consumers
- Transformation Roadmap: Implementation details and change management requirements
Where needed, we help you understand how the best second- and third-party data to integrate into your company’s information assets can improve the quality of your decision-making processes.
What we provide:
Identification of business demand and strategic objectives
(What are the main goals for using data?)
Analysis of the current data landscape, through:
- Data Maturity Assessment – to identify an organization’s awareness and readiness in terms of data, conducted through interviews, document analysis, and dedicated tools
- Gap Analysis – Can the identified demand be met with the available data?
- Data Roadmap – designed to close the gaps and align with the Data Strategy (identifying the data to be acquired and how to acquire it, including "make or buy" strategies)
Since 1994, we’ve been turning our clients’ Data Strategy into real, measurable results.
Tell us about your challenges – together, we’ll discover how our Data Strategy solutions can create immediate, tangible value.
- Customer Experience
- Data-driven innovation of products and services
- Partner ecosystem & go-to-market
Employee Experience to support and retain your talent
Relevant technologies
Talend, Collibra
Certifications to support
CDMP; COBIT