Data Governance
Setting up and establishing the rules and guidelines for data use in companies is an immensely important, but often not prioritized step. Our Data Governance module from The Data Institute enables the company to roll out the processes and workflows designed and formalized in the module across the company.
The starting point for this is the Data Governance Institute (DGI for short) framework, which is used by large, multinational corporations as well as medium-sized companies.
Our process
Analysis
- Analysis of existing data governance measures and any documentation
- Evaluation of the effectiveness, completeness, and comprehensibility of current frameworks
- Identification of specific priorities regarding data governance such as data quality, compliance, processes, structure, etc.
Framework development & conception
- Development of a phased implementation plan for data governance measures in the selected focal areas
- Development and implementation of dedicated roles and responsibilities as well as from access and authorization concepts
- Development of standards for example, for creating dashboards and processes as well as for data quality management
Transformation & sustainable support
- Step-by-step implementation of data governance measures through accompanying implementation or implementation of use cases, tools, roles or similar initiatives
- Ongoing support when implementing the recommended measures and initiatives and their continuous development
- Escort further initiatives such as KPI alignment, data quality checks, etc.
The business impact of your data governance: We make data profitable
Our mission
For us, Data Governance is more than minimizing risks. We help you use your data aggressively and turn clear rules into a strategic competitive advantage. We focus on rapid impact and, in parallel, on long-term strategy.
The measurable impact
Data Quality: 87% improved Data Quality Score.
Data Consistency: 60% less data inconsistencies.
Operational Efficiency: 80% more efficient reports.
Compliance & Trust: 100% GDPR-compliant processing of Data Subject Rights in under 48h.
*Facts based on our work for MediaPrint
Your direct path to data-driven success
We define specific processes, access rights and workflows to enable your employees to successfully use data and roll out the guidelines independently. Our module provides a rough concept that can be implemented immediately.
You still need the basics, definitions, and all backgrounds on the subject of data governance? You can find all the information that does not directly relate to your process in our expert guide.
The Ultimate Guide: All the Basics of Data Governance
This is how we proceed when establishing data governance (detailed process)
From assigning roles to connecting systems to enabling all employees, we are a strong partner at the side of our customers.
Assigning
As a first step, we define and organize the various data governance roles (data owner, data steward, data consumer and system owner). This definition is done as an example to enable your organization to independently assign all other employees and stakeholders to these roles later on. This also includes the structure of the Data Governance Board.
Specify
We then identify the most relevant processes for data governance and design them based on the Data Governance Institute (DGI) framework. This includes processes for introducing new systems, connecting data sources, processing and distributing new data, archiving to optimize costs and performance, and deletion due to retention policies.
Splitting
The identified workflows and processes are divided between the various data governance roles based on RACI matrices. This is done clearly in task packages and is visualized in such a way that new processes can be worked out based on these requirements even after the module has been completed. This creates a practical rough data governance concept.
Stimulate
The developed rough concept is formulated in comprehensive guidelines and planned in time. This includes roles and organization, processes and workflows, as well as categorization and access rights. This phase forms the basis for enabling stakeholders up to the final target model.
Enable
The overall goal of our data governance module is for your stakeholders to be able to independently continue data governance in the company and roll it out across the company. For this reason, the roles are defined as examples and initially piloted in a department. In the last step, we take the necessary next steps to achieve this goal.
Go to the comprehensive data governance guide
Our framework (culture, organization, architecture)
We always work with the organization, culture and architecture framework. Because these three areas are the most important factors for us to successfully anchor data in the company in the long term.
- At the organization It is about establishing data governance guidelines in order to establish a clear structure around data.
- For the architecture Clear regulations ensure a smooth and unproblematic design and structure of the data landscape.
- Also for the culture Data governance is an important factor. Clear regulations and open systems help employees use data and actively engage with it.
The Data Institute — the strong partner in the use of data governance
We want companies to quickly get an impact and see what they can do with data. At the same time, we have an overall view of the company and would like to take a long-term view Strategies Implement, which enables employees to work with data independently.
What services can be combined withData Governance?
Case studies on the subjectData Governance
You can find suitable examples of our work on this topic in the following case studies:
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