Effective Data Governance as a Driver of Opportunities & Stability
Beyond the new regulatory obligations of GDPR, companies are facing new challenges:
increasing data volumes, high storage costs, cyber security, IS mergers, greater human involvement.
Data Governance is a set of principles and practices designed to ensure the high quality of data throughout its entire lifecycle.
#Mapping #Ecatalog #MasterDataManagement #MDM #DataQualityManagement #DQM #Databaker #DataOwner #DataSteward
Your data concerns
Security
- What are the most critical data?
- Who creates, modifies, accesses critical data?
- Where are sensitive data stored?
- How sensitive are they?
Compliance
- What data is subject to GDPR?
- Are all collected personal data necessary for the intended purpose?
- How to prove consent for processing?
Asset value / Data quality for the company in full digitalization
MDM, DQM: Reliable and standardized data can also be reused...
- What are my available business data, an overview?
- Are the data stored, maintained, classified, and accessed optimally to derive benefits from them?
- Who is responsible for this?
- What is the value and impact of the data on the business?
- How are they modified (flow)?
Approach / Scope according to the level of maturity
A new culture where each organization is required to adopt and develop data governance to succeed in digital transformation
Agile Data Governance - What benefits for the company?
Agile data governance is a democratized bottom-up approach to data, fueled by technological maturity and growing concerns and challenges around data quality, data privacy and data regulation.
It's governance that unlocks the value of data for end users, enabling them to solve business problems, leverage self-service analytics and do their jobs better and more efficiently.
Opéra Use Case
Tools used
From mapping to production data analysis (quality, safety, integrity...), Opéra can help you integrate high value-added tools.
Blueway, Datagalaxy, Talend, Informatica, Semarchy.
Change management
Change management is one of the main challenges facing data governance today. Indeed, digital transformation implies the internal development of trust in one's ecosystem, and change management is the key!
The Trust is the cornerstone of change within an organization. The latter must be topped by effective data governance to understand what exists, and reinforced by three important elements:
| Business | Process | Technology |
|---|---|---|
| Recruter une équipe d’expert | Reinforce communication and commitments with Top Management | Implement automated control processes |
| Identify security & privacy managers | Linking safety to business | Improving cyber resilience |
| Sensibiliser & Former au regard de l’existant | Improve data management processes (inventory & classification) | Développer l’innovation interne |
Our services in 4 phases:
- Phase 1: Discovering the organization's ecosystem
- Phase 2: Presentation of risks and uses
- Phase 3: Developing a Trust & Risks culture
- Phase 4: Setting up Trust governance