Data Governance

And suddenly everyone pulls together.

Setting up and establishing the rules and guidelines for data use in companies is an immensely important, but often not prioritized step. 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.

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Framework-Entwicklung & Konzeption

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

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Transformation & Nachhaltige Begleitung

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.

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Why do companies need data governance?

Offensive aspects of our data governance consulting

We help you take advantage of the offensive aspects of data governance, such as democratizing data, promoting efficiency through data use, and developing data-based business models. As part of our advice, we work together to develop appropriate, future-oriented measures for your company.

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Defensive aspects of our data governance consulting

Our data governance measures aim to avoid adverse events, such as fines, or negative consequences due to failure to comply with compliance, ethics and data protection. We strengthen your resilience and minimize risks.

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Guidelines for data usage throughout the data life cycle

In order to determine the use of data across the entire data life cycle and to enable all employees to use data successfully, we define the necessary guidelines. This includes designing specific processes and workflows as well as defining roles and access rights, which we define with you as examples.

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Rough concept and enablement of the organization

Through our data governance module, we enable your employees and specialist departments involved to roll out the roles, processes and guidelines defined in the module to the entire organization. The developed rough concept helps to make data governance available, understandable and visible to all employees and departments.

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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.

Phase 1

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.

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Phase 2

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.

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Phase 3

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.

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Phase 4

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.

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Phase 5

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.

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Grafik des Frameworks mit dem Data Institute arbeitet.

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.

How does our framework work?

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.

Learn more about us

Understanding data governance — your foundation for success

Data governance is the comprehensive approach to managing your data assets that includes principles, practices, and tools across the entire data life cycle. It defines who can use which data in which situations and with which methods to establish data as a valuable corporate resource.

For a detailed definition, comprehensive benefits, core elements, and implementation steps, read our detailed guide:
Go to the comprehensive data governance guide

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Who needs our data governance advice?

In principle, all companies must comply with external regulations. Data governance, as the implementation of these regulations through appropriate roles and processes, is therefore relevant for all companies. Once you have reached a certain size, it makes sense to establish your own data governance department or to seek strategic support such as ours in order to implement this issue internally.

The effective use of our data governance consulting can help you achieve your business goals faster — even and especially when migrating content to the cloud.

The services provided by The Data Institute are aimed primarily at companies from the following industries mediums, logistics and finances, but also on ecommerce Companies that want support in complying with guidelines and using data effectively.

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Who is involved in data governance?

Data governance fundamentally affects all people who are connected to data — the so-called data consumers. When developing role and process concepts, The Data Institute works closely with key people such as the Chief Data Officer (CDO) or Head of Data, the Chief Information Officer (CIO), the Data Protection Officer (DPO) and the Compliance Officer.

Through this collaboration, the roles of data owner, data stewards, data consumer and system owner are established, which are then rolled out to the entire company. We work both in 1:1 meetings and in joint workshops to ensure that the various stakeholders are optimally coordinated.