+49 (911) 80 10 30

Give us a call or have us call you back!

Simply leave a message with your callback appointment

Your Name *

Your phone number *

Callback date *

Callback time *

Your request *

In order to process your request, it is necessary to process the data you provide. This means that by submitting the contact form, you consent to your data being processed (see Privacy Policy). You can object to the processing of your data at any time.

* All fields marked with an asterisk are mandatory fields.
Send a message

Your Name *

Your email *

Your phone number

Your request *

In order to process your request, it is necessary to process the data you provide. This means that by submitting the contact form, you consent to your data being processed (see Privacy Policy). You can object to the processing of your data at any time.*

* All fields marked with an asterisk are mandatory fields.
Social Media

Share page

DM100: Fundamentals of Data Management & Data Governance NEW

Participants from operational specialists to managers understand why Data Management and Data Governance are necessary. They know governance building blocks (roles/rules/processes/artifacts/metrics). In guided exercises using a case study, a “Minimum Viable Governance” framework is created to align business, IT, and analytics: data product/data asset, responsibilities, policies/standards, effectiveness measurement, as well as domains such as metadata/data quality – as a foundation for DM200 Data Governance & Data Asset Management in Practice& DM250.

Appointment selection

Appointments in English language (0)


Unfortunately there are currently no available appointments. Would you like to request an appointment? Then click on 'No matching appointment?'

Possible course languages: German

Request prefered appointment period:

Your Name *

Your email *

Your phone number

Preferred period from *

Preferred period to *

Number of participants *

Your message

* All fields marked with an asterisk are mandatory fields.

Unfortunately there are currently no available appointments.
Would you like to request an appointment? Then click on 'No matching appointment?'

Request prefered appointment period:

Your Name *

Your email *

Your phone number

Preferred period from *

Preferred period to *

Number of participants *

Your message

* All fields marked with an asterisk are mandatory fields.

Agenda:

Introduction: objectives, expectations, introduction of shared terms and delimitations
Data Management “big picture”: disciplines, responsibilities, data lifecycle
Data Governance: purpose, principles, typical anti-patterns, success factors
Roles & responsibilities: owner, steward, custodian/engineer, consumer, governance bodies
Policies, standards & controls: from guardrails to implementable rules
Metadata as enablement: business glossary, catalog, classification, critical data elements
Data quality fundamentals: dimensions, DQ rules, issue management, KPI logic
Security, privacy & compliance: risk thinking, access, protection needs, “need to know”
Operating model & change: decision paths, adoption, communication
Wrap-up: “Minimum Viable Governance” outline and next steps

Objectives:

Consistent understanding of key terms (data asset, data product, governance, stewardship, etc.)
Classification of the most important data management domains and their dependencies
Ability to outline governance basic frameworks (roles, committees, artifacts, processes)
Distinguishing and applying policy/standard/guideline including enforcement
Basic logic of metadata/catalog/glossary, data quality management, and privacy requirements
Deriving initial, realistically implementable steps for your own organization

Target audience:

All data roles including managers: Data Owner, Data Steward, Data Manager, Data Engineer, Analytics/BI, Data Scientist, Product Owner, IT/department management, Compliance/Privacy stakeholders

Prerequisites:

No subject-matter prerequisites required
Helpful: basic understanding of your own data landscape/use cases (also at management level)

Description:

DM100 Fundamentals of Data Management & Data Governance creates a shared level of terminology, methods, and orientation for all data roles: from operational specialists through to managers. The focus is on a practical understanding of why Data Management and Data Governance are necessary, what typically belongs to an effective governance system (roles, rules, processes, artifacts, metrics), and how these building blocks are embedded in the organization. The DM100 Fundamentals of Data Management & Data Governance workshop combines short input sequences with guided exercises: participants transfer concepts to a shared case study and build a “Minimum Viable Governance” framework step by step.

A key benefit of the DM100 Fundamentals of Data Management & Data Governance workshop is alignment between business, IT, and analytics: What is a “data product”, what is a “data asset”, where does accountability begin/end, how are binding rules (policies/standards) created, and how is effectiveness measured? In addition, the most important domains of Data Management are classified at a high level (e.g., metadata, data quality, security/privacy, architecture, lifecycle) and their interactions are explained, so that subsequent advanced modules (DM200 Data Governance & Data Asset Management in Practice & DM250) can build on a stable foundation.