Data Management & Data Governance: consulting and integration
Control the quality of your data and turn it into a growth driver for your business
Optimized data management for improved operational efficiency
In the age of Big Data, understanding and accessing quality data have become essential elements in guaranteeing a company's operational excellence. Data Management and Data Governance are the two key areas in which we can meet these challenges.
Data Management focuses on structuring and controlling data, guaranteeing its accessibility, reliability and uniqueness for all data-consuming processes. It covers the entire data lifecycle, from creation to deletion.
At the same time, Data Governance addresses strategic issues. It helps to prioritize operational inputs, by assessing sales, profitability and regulatory risks linked to data quality. This quality control framework aims to manage, exploit and protect data, increasing its value while reducing costs and ensuring regulatory compliance.
Micropole supports you in these two complementary approaches, to help you maximize the use of your data platforms.Â
ABOUT US
Choose Micropole for your Data Management or Data Governance project
Our teams of Data Governance & Data Management experts design tailor-made solutions to meet the specific needs of our customers, maximizing the value of their data and ensuring its successful exploitation for optimal business impact.
& Data Governance
PROFITS
Our strengths in the market
Holistic approach
From strategy to execution, we take a holistic approach, from governance to data management.
Expertise
Our recognized technological and methodological expertise guarantees the quality of our frameworks and projects.
Capitalization
For over 20 years, we've been developing a set of gas pedals, frameworks and a proven methodology.
OUR OFFER
Our expertise in data governance and data management
As a fuel for all processes, thehe data is an essential asset for any organization every organization. In order to support the company's strategy, we structure and optimize the agility of the Information System that hosts this data. data.
Data & Organization Strategy
We design the Data and Digital strategy to support our customers' business objectives, establish the framework solutions, organizations and financial requirements, and support operational implementation.
Defining and deploying data governance
We determine the frameworks, solutions and organization needed to meet our customers' data management challenges, in line with their business priorities and uses, while implementing Change Management strategies to ensure the success of their project.Â
Setting up a Data Architecture
We set up an agile and secure architecture ofAPIsationde-silo and data distribution architecture to enable our customers to benefit from the latest technological innovations, while improving their flexibility and speed.
Master Data Management
We implement data governance and data quality management withina single repository, and ensure that data is distributed throughout the organization for operational and decision-making purposes, or for the deployment of Artificial Intelligence processes.
Data Compliance
We assess the level of compliance of our customers' data with regulations and reference frameworks and ensure their operational implementation, by supporting our customers in their compliance projects and deploying the appropriate tools for industrializing and making processes more reliable.
Data Sharing
We implement solutions and define processes and organization to accelerate data access and secure data distribution and secure distribution to our customers, according to rights/permissions, regulations and data classification. We then ensure traceability of access and monitoring of usage. usage.
Download the Digital Product Passport white paper
- Discover the real challenges of the Digital Product Passport (DPP), beyond mere compliance, and anticipate its impact.
- Identify the key data for implementing a relevant PLR
- Get expert advice on implementing cross-functional product data governance
- Take advantage of solutions like Stibo Systems' Product MDM for sustainable data management
How we meet our customers' challenges
Reducing the impact of data quality issues within their organization
Our services enable you to improve the quality of your data, for both operational and decision-making processes.Â
Enabling them to meet regulatory and compliance requirements
We help you meet the challenges of documenting, classifying and auditing data and data processing.Â
By enabling them to deploy a clear data strategy, with an appropriate roadmap
We guide you in the implementation of a precise Data strategy, accompanied by a roadmap aligned with your company's objectives.
Bringing the full potential of data to their businessesÂ
We help you make the most of data to facilitate artificial intelligence processes in your company.Â
OUR REFERENCES
They trust us
OUR PARTNERS
An ecosystem of leading Data Management & Data Governance vendors
Drawing on our expertise and partnerships with leading data management and data integration tool publishers, our consulting and project teams have capitalized on a range of approaches and methods that enable us to support our customers from definition to implementation of their governance projects.
CONTACT
Ready to transform your data management? Contact us
" At Micropole, we build the data foundation required for our customers' strategic and organizational deployment. Our role is to make data intelligent and intelligible, so that it can be democratized for business users."
DATA GOVERNANCE & IA
The importance of Data Governance to harness the benefits of Artificial Intelligence
Data governance is essential to ensure the effective and ethical use of Artificial Intelligence (AI) in business.
Indeed, it ensures data quality, security and compliance, which are the foundations on which AI algorithms are built. Strong data governance also maximizes the value of data by making it usable, while minimizing the associated risks.
As an expert in Digital & Data transformation, Micropole supports its customers in implementing appropriate governance strategies. Thanks to proven methodologies and high-performance tools, Micropole helps companies structure, secure and add value to their data, thus facilitating the integration of AI into their decision-making and operational processes. In this way, companies can take full advantage of the opportunities offered by AI, while ensuring responsible and sustainable use of data.
DATA COMPLIANCE
How do you meet data compliance regulations?
BUSINESS CHALLENGES
Data Governance & Data Management meet your business challenges
ACTUS
The latest news in Data Governance & Data Management
EXPERTISE
Our other expertise that might interest you
Discover our offers according to your business profile
CONTACT
Stay one step ahead with Micropole
Your questions about Data Governance and Data Management
What's the difference between Data Governance & Data Management?
Data Governance defines the policies, rules and responsibilities relating to the use of data within an organization. Data Management, on the other hand, encompasses all the practices, tools and processes that enable data to be collected, stored, processed and analyzed according to these rules.
What Data Governance & Data Management tools and solutions are available on the market?
There are numerous data management solutions, such as MDM, PIM and data integration platforms, as well as data governance solutions such as data catalogs.
Micropole works with market leaders such as Informatica, Stibo Systems, Semarchy, Akeneo, Talend, Tibco and Mulesoft.
Why is data governance a strategic issue for companies?
With the rise of Big Data, Data Governance has become essential to ensure data quality, security and compliance. It enables organizations to fully exploit the value of their data, optimize decision-making and ensure the trust of customers and partners.
How do you set up an effective Data Governance strategy?
To successfully implement a data governance strategy, the following steps must be taken:
1. Define clear objectives in line with corporate strategy.
2. Identify stakeholders and assign responsibilities.
3. Implement data management policies and processes.
4. Select appropriate tools for data monitoring and control.
5. Raise awareness and train teams in the importance of data governance. Don't hesitate to get in touch with our team of Data Governance experts, who can help you implement these different steps.
What are the main challenges facing data governance?
Challenges include:
- Employee buy-in and change management.
- Data standardization between different systems and entities within the same organization.
- Integration of new technologies and scalability of solutions.
- Protection and confidentiality of sensitive data.
- Compliance with ever-changing regulations.
At Micropole, our Data Governance specialists are familiar with helping our customers solve these challenges, and tailor solutions to meet their specific needs.
How important is data governance in a digital transformation strategy?
There can be no successful digital transformation without reliable, well-managed data. Data Governance enables :
- Ensure data consistency between digital systems.
- Facilitate the adoption of innovative technologies such as AI, Big Data or the Cloud.
- Promote the automation of business processes.
- Maximize the value of data by making it accessible and usable.
What are the best practices for improving data quality?
Improving data quality is based on implementing the following actions:
- Implement data quality rules and standards
- Use data cleansing and deduplication tools
- Establish regular data checks and audits
- Make teams aware of the importance of data quality
- Automate validation and error correction processes.
For more information on the best practices to implement, please consult our guide to data quality: the challenges and best practices of Data Quality Management, or get in touch with our experts.
How does good data management improve decision-making?
Rigorous data management ensures that companies have reliable, usable information. With quality data, companies can :
- Identify trends and opportunities more quickly.
- Reduce the risks associated with decisions based on faulty data.
- Optimize operational processes with precise insights.
- Promote a data-driven approach across all business lines.
What trends in Data Governance & Data Management should be anticipated and how does Micropole integrate them into its support?
Concrete integration of AI and Machine Learning: Micropole develops advanced use cases such as automatic classification of sensitive data to facilitate RGPD compliance, significantly reducing operational risks for its customers.
Advanced Move to Cloud support: Micropole supports its customers in migrating their data governance to leading Cloud platforms (Microsoft Azure, AWS, Google Cloud, Talend Data Fabric). - This enables more agile data governance, better collaboration between distributed teams, and scalability to match customers' business ambitions.
Proactive management of regulatory compliance: faced with an increasingly complex regulatory framework (RGPD, Data Act, DSA, etc.), Micropole has developed specific methodologies tailored to different sectors (banking, insurance, retail, industry). Micropole doesn't just ensure compliance: its experts exploit regulation as a lever for business opportunities and value creation.
Operational deployment of the Data Mesh approach: based on proven methodologies, Micropole guides its customers in the adoption of Data Mesh by structuring their Data organizations around clearly defined business domains. Micropole has already demonstrated its operational efficiency by setting up decentralized data-sharing platforms, simplifying interactions and accelerating the availability of data as close as possible to business needs.
