Your data is not just numbers. This is capital that we will teach you to multiply.
Chaos in spreadsheets means real operational losses. As a certified Informatica Platinum Partner Poland, we implement systems Data Governance (data governance) and solutions Data Qualitythat turn raw information into credible business capital. We build the foundation upon which your analytics and AI projects will truly generate revenue.
DG
Governance
MDM
BI
ETL
GDPR
AI
DQ
We provide solutions based on technologies from world leaders
Gartner predicts that by 2026, organizations will abandon 60% of AI projects deprived of AI-ready data.
(Gartner, "Lack of AI-Ready Data Puts AI Projects at Risk", 2025)
Data Governance (data governance) is a set of processes, roles and technologies that ensure that data in an organisation is accurate, consistent, available and compliant with regulations (including: GDPR). Includes management data quality, cataloging resources, tracking data origin (data lineage) and assigning responsibility in the form of roles Data Owner i Data Steward.
Effective data governance is not a paper policy—it is technology and organizational culture working together.
Why is the topic of Data Governance coming back now?
Gartner estimates that only 48% of AI projects go into production, and it takes an average of 8 months to go from prototype to implementation – mainly due to the lack of ready data.
Gartner, “Gartner Survey Finds Generative AI Is Now the Most Frequently Deployed AI Solution in Organizations,” 2024
Według Informatica 43% of data leaders identifies data quality, completeness, and readiness as one of the main barriers hindering the transition of GenAI initiatives from pilot to production.
Informatica, "CDO Insights 2025: Racing Ahead on GenAI and Data Investments While Navigating Potential Speed Bumps", 2025
According to Gartner, organizations lose on average at least $12,9 million per year due to low data quality
Gartner research from 2020, cited in: Gartner, "Data Quality: Why It Matters and How to Achieve It."
84 %
data & analytics leaders admit that their data strategy requires a major overhaul for AI to truly deliver business value.
Salesforce, “State of Data and Analytics,” 2025
63 %
organizations do not have or are unsure whether they have the right data management practices for AI - which increases the risk of project failure.
Gartner, “Lack of AI-Ready Data Puts AI Projects at Risk,” 2025
43 %
Data leaders point to data quality, completeness, and readiness as one of the main barriers blocking GenAI initiatives from moving from pilot to production.
Informatica, "CDO Insights 2025", 2025
How much does a lack of data trust cost your company?
20
10
The lack of an implemented Data Catalog costs your teams on average
10 400
man-hours per year. Data governance optimization will pay for itself this cost in the first quarter.
Transformations we have implemented.
NLB
Financial Sector
Building a unified Data Governance platform for the entire group in the Balkans.
Result:
Full transparency and 100% regulatory compliance.
Adamed
Pharmacy
Organizing product and supplier data (MDM).
Result:
Drastically reduced time-to-market.
Alior Bank
Banking
Central repository of personal data and automation of GDPR processes.
Result:
100% control over sensitive data (PII).
Key modules of modern data management.
EUR 5,65 billion
This was the total sum of GDPR fines imposed from 2018 to March 2025 – an increase of €1,17 billion over the past year.
CMS GDPR Enforcement Tracker Report, 2025
EUR 2,8 million
was the average fine for GDPR violation in 2024 – 30% more than the year before.
IAPP Privacy Governance Report, 2024
31% vs 3%
Companies without data governance in place experience data breaches 31% of the time. Organizations with data governance experience a data breach only 3%.
Integrate.io, "Data Integration Statistics", 2026
Before and after Data Governance implementation
Distance
Without Data Governance
From Data Governance
Reports and KPIs
Different results in each section
Single Source of Truth
AI / ML Projects
Garbage In, Garbage Out - Models on Bad Data
Trusted data - a solid foundation for AI
Searching for data
Hours to find the right file or table
Data Catalog - Results in Seconds
GDPR compliance
Lack of control over sensitive data (PII)
100% control, automatic audits
Responsibility
Nobody knows who owns the data
Clear roles: Data Owner, Data Steward
IT implementation time
Long RCA, repeated incidents
Faster root cause analysis and fewer incidents
CDO Roadmap for Data Governance.
Step
A pilot of great importance
Choosing a project that will quickly demonstrate real business value.
Step
Sponsor support
Attracting leaders (CRO, CISO) whose goals depend on trusted data.
Step
Roles and responsibilities
Identifying data owners and stewards.
Step
Scalable technology
Implementation of a Cloud-native platform designed for AI automation.
Step
Communication and culture
Educating the team so that governance becomes a natural part of work.
"IN Integral Solutions We not only provide technology, but above all, we solve real business problems. My goal is to guide your organization through data transformation so that it becomes your greatest competitive advantage.
Lukasz Rudziński
Senior Account Manager, Integral Solutions
What is Data Governance? Simply put.
Effective data governance is not a paper policy, but a set of tools and roles that support business.
Team
We define roles (Data Owner, Data Steward) and principles of IT-business cooperation to ensure that responsibility for data is clear.
Procurement
Definition approval workflow, naming standards, and data quality control processes – from rules to corrections.
Technology
We use the power Informatica Intelligent Data Management Cloud (IDMC) for cataloging and lineage automation.
Benefits for your team
Team
Fast, auditable data decisions. No more blurred responsibilities.
Data Steward
Less operational work thanks to automation. A data catalog replaces manual explanations of "what's what."
CDO / Head of Data
A program with measurable KPIs that truly supports the AI strategy and delivers value to management.
IT / Architecture
Fewer incidents, faster RCA (Root Cause Analysis) and a more stable data environment.
Security / Compliance
Secure data sharing, easier audits, and minimize the risk of GDPR fines.
Analysts / BI
Shorter Time-to-Insight. No more wasting time verifying "if this is the right data."
Governance tailored to your industry
Finances
Full transparency and 100% regulatory compliance (KYC, AML, BCBS 239).
Pharmaceuticals
Reduced time-to-market and rigorous control of research data.
Retail
One version of the truth about the customer and product at every touchpoint.
Industry
Master Data Management (MDM) and Supply Chain Optimization.
Public Administration
Data standardization for e-services and citizen reporting.
24,07 billion USD
this is how much the global Data Governance market will be worth in 2034 (growth from USD 5,38 billion in 2025 - CAGR 20,5%).
Fortune Business Insights, "Data Governance Market Size, Share | Trends Analysis [2034]", 2025
Frequently asked questions.
Data governance is a subset of data management. Governance focuses on policies, roles (Data Owner, Data Steward), and accountability. Data management also encompasses technical aspects: integration, storage, and security.
The most effective approach is to select a pilot project with high business impact that will quickly demonstrate value. Next, we secure an executive sponsor, define the Data Owner and Data Steward roles, and then implement the technology tool.
A data dictionary is a static document defining fields in a specific database. A data catalog is a dynamic tool that automatically discovers data assets across an organization, tracks their lineage, and enables searches—acting as the Google of corporate data.
A data mesh shifts responsibility for data to business domains. Governance in the data mesh model becomes federated, with each domain having data owners operating under common policies. Informatica IDMC supports both approaches: central and federated.
Data under control - from source to decision.
Data Governance is the foundation - without it, every other solution operates on uncertain data.
Customer 360 and MDM
A customer's Golden Record is only as good as the data from which it is created. Data Governance defines quality and compliance rules, which MDM automatically enforces with every profile update.
Product 360 and PIM
Without governance, product data is a chaos of duplicates and inconsistent attributes across channels. Data Governance establishes standards for completeness and validation, which PIM enforces before each publication.
Application Integration and API Management
Integration without governance results in inconsistent data flows across the entire organization. Data Governance ensures that data transferred between systems via iPaaS meets quality standards before being fed into analytics and AI.
Advanced Data Analytics
Predictive models are only as accurate as the data that powers them. Data Governance is the first step towards analytics whose results can be used as a basis for business decisions, not as approximations.
AI Agents and Automation
An AI agent without high-quality data responds confidently but incorrectly. Data Governance ensures that the knowledge bases and records feeding agents are up-to-date, consistent, and free from contradictions.
Applications and Low-code (Mendix)
Data management applications – Data Steward portals, record validation and acceptance tools – can be built quickly in Mendix, without involving the IT team in every process change.
Ready to organize your data?
Tell us what your priority areas are: data catalog, quality, GDPR, or Data Mesh. We'll prepare a specific action plan for you.