Data Governance That Turns Data Into Decisions
Data governance defines who owns each piece of data, its quality, and the decision for which it is intended. At Ecoeffy, we implement it end-to-end, in a vendor-agnostic manner.
The Challenge
The Cost of Making Decisions Based on Data You Don’t Trust
Poor data quality costs organizations, on average, $12.9 million a year (Gartner). Without clear rules regarding ownership, quality, and access, each department operates based on its own version of the truth, and dashboards become a source of debate rather than a basis for action.
How we’ll handle it
From scattered data to a single source of truth
We implement practical data governance: we catalog data, assign owners, establish quality metrics, and enable analytics on a reliable foundation in the cloud you already use.
Data Catalog and Business Dictionary
Data Owners and Role-Based Access Policies
Quality Standards and Continuous Monitoring
Multi-cloud data architecture (Databricks, BigQuery, Synapse)
Deliverables
What’s Included
Data Maturity Assessment
We evaluate quality, lineage, and gaps to help you make critical decisions.
Data Governance Framework
Documented and implementable roles, policies, and quality metrics.
Reliable analytics and dashboards
Business intelligence (BI) on a governed foundation, using data that the business actually uses.
4-Phase Cycle
How We Work
1 · Diagnosis
We measure the baseline and prioritize based on business impact.
2 · Design
We define the target architecture, which is vendor-agnostic and multi-cloud.
3 · Implementation
We implement the project in phases, without disrupting operations.
4 · Re-measurement
We compare results to the baseline. What isn’t measured can’t be managed.
How to Apply
Contract Models
Overall price
A fixed-scope project with a single price. Ideal for one-time initiatives with defined deliverables.
Per-user subscription — preferred model
Capacity as a service, scalable month by month. Turn capital expenditures (CapEx) into operating expenses (OpEx) and grow with you.
Why It Matters
Triple Impact
Profitability
Faster and more cost-effective decisions: less rework and fewer manual reconciliations.
ESG Sustainability
Data traceability and transparency for verifiable ESG reports.
Talent
Teams that analyze data rather than clean it.
Frequently Asked Questions
What is data governance?
It is the set of roles, policies, and metrics that defines who owns each piece of data, what its quality is, and who can use it, in order to make decisions based on reliable information.
Do I need to switch cloud services or tools?
No. We’re vendor-agnostic: we work on Azure, AWS, or Google Cloud, as well as the tools you already have.
How long does it take to see results?
The assessment provides actionable insights within weeks; governance is implemented in phases, prioritizing your critical decisions.
Is this useful for ESG reporting?
Yes. Data traceability is the foundation for verifiable and auditable sustainability reports.
Base your decisions on data you trust
Let’s start with a data maturity assessment: no-obligation, with actionable insights.
