Data Governance

Data governance

Data governance

What is Data Governance?

Data Governance is a way of organizing a company to manage and manage its data. It can be seen from different perspectives and among the most common are:

<Strategy
Method
Knowledge
Discipline
Structure
Politics and people
Rules and standards
Data stewardship
Organizational transformation
Orchestrator
Way of working the data

Data Governance is not a technology, it is a way of organizing data that implies a cultural change to have a better market arrival and reduce execution times.

Why is Data Governance important and challenging today?

40% anual 0

Structured Data is growing.

80% anual 0

Traditional content, including unstructured data, is on the rise. Gartner.

IN 2020

Global data will grow to 40 zettabytes. It is expected that 85% of the growth of this data will come from new technologies, increasing up to 15 times more.

Benefits Benefits

Benefits of data governance

Benefits of data governance

Increased productivity with quality data

Data Governance guarantees consistency, reliability and avoids duplication of data.

The quality of the data and its profiling accelerate the time to penetration in the organization.

Compliance with regulations when knowing the origin of the data.

Increased productivity with quality data

Data Governance guarantees consistency, reliability and avoids duplication of data.

The quality of the data and its profiling accelerate the time to penetration in the organization.

Compliance with regulations when knowing the origin of the data.

A successful Data Government will allow you to evolve ...

Lack of managers of the data defined in the business.

Sponsorship and limited responsibilities.

Data management is not a priority.

Data managed as a relevant corporate asset.

IT Bottom-Up development places a low priority on data management goals.

Development efforts that affect critical data include managing data in a Top-Down manner.

Business units or functional groups ignore other cross-company business initiatives and therefore their impacts.

A data culture is generated to ensure an end-to-end impact assessment of all information management efforts.

Inconsistent business and business processes, capture rules, and unknown data models.

Adoption and application of best practices that include standardized data models, definitions, rules and business processes.

How to enhance Data Governance?

Data Governance + Security:

It enhances organizational capabilities to define standards, classify data, manage it, authenticate it, and audit it.

Data Governance + DWH + BI

It enhances the technological and business capabilities to deliver valuable technological solutions (architectures, solution implementation, support and training, monitoring and adjustment).

Data Governance + Metadata Management

Power control capabilities over data, from architecture, integration, control and delivery.

Data Governance + Data Architecture

It enhances the technological capabilities that the organization has and aligns them to the best practices for data modeling (MDE).

Data Governance + Management. Database Operations

It attends the life cycle of the data from its acquisition, recovery, adjustment, retention and purge or storage. Generate value by knowing the data's journey through time and organization.

Data Governance + Data Quality

It is responsible for coordinating efforts to achieve definitions, measurement, analysis and improvement on the data.

Data Governance + Data Development

It contributes to the exponential value of data processing, from analysis, data modeling, design and implementation in new models.

Data Governance + Master Data

It enhances the organizational capabilities to have unique definitions on the company's ``core`` catalogs.

Data Governance + Document and Content Management

It enhances the capabilities to acquire and store, back up, repair and retain content and documents.

Data Governance + Organizational Transformation

It communicates about the purpose of an organization that seeks to be ``Data Driven``, manages the organizational capacities to meet data requirements, empowers leadership and measures the impact of being a ``Data Driven`` organization.

How to enhance Data Governance?

Data Governance + Security:

It enhances organizational capabilities to define standards, classify data, manage it, authenticate it, and audit it.

Data Governance + DWH + BI

It enhances the technological and business capabilities to deliver valuable technological solutions (architectures, solution implementation, support and training, monitoring and adjustment).

Data Governance + Metadata Management

Power control capabilities over data, from architecture, integration, control and delivery.

Data Governance + Data Architecture

It enhances the technological capabilities that the organization has and aligns them to the best practices for data modeling (MDE).

Data Governance + Management. Database Operations

It attends the life cycle of the data from its acquisition, recovery, adjustment, retention and purge or storage. Generate value by knowing the data's journey through time and organization.

Data Governance + Data Quality

It is responsible for coordinating efforts to achieve definitions, measurement, analysis and improvement on the data.

Data Governance + Data Development

It contributes to the exponential value of data processing, from analysis, data modeling, design and implementation in new models.

Data Governance + Master Data

It enhances the organizational capabilities to have unique definitions on the company's ``core`` catalogs.

Data Governance + Document and Content Management

It enhances the capabilities to acquire and store, back up, repair and retain content and documents.

Data Governance

Data governance

Data governance

What is Data Governance?

Data Governance is not a technology, it is a way of organizing data that implies a cultural change to have a better market arrival and reduce execution times.

Why is Data Governance important and challenging today?

40% anual 0

80% anual 0

IN 2020

Benefits of data governance

Benefits of data governance

Increased productivity with quality data

Data Governance guarantees consistency, reliability and avoids duplication of data.

The quality of the data and its profiling accelerate the time to penetration in the organization.

Compliance with regulations when knowing the origin of the data.

Increased productivity with quality data

Data Governance guarantees consistency, reliability and avoids duplication of data.

The quality of the data and its profiling accelerate the time to penetration in the organization.

Compliance with regulations when knowing the origin of the data.

A successful Data Government will allow you to evolve ...

How to enhance Data Governance?

Data Governance + Security:

Data Governance + DWH + BI

Data Governance + Metadata Management

Data Governance + Data Architecture

Data Governance + Management. Database Operations

Data Governance + Data Quality

Data Governance + Data Development

Data Governance + Master Data

Data Governance + Document and Content Management

Data Governance + Organizational Transformation

How to enhance Data Governance?

Data Governance + Security:

Data Governance + DWH + BI

Data Governance + Metadata Management

Data Governance + Data Architecture

Data Governance + Management. Database Operations

Data Governance + Data Quality

Data Governance + Data Development

Data Governance + Master Data

Data Governance + Document and Content Management

Data Governance + Organizational Transformation

Are you interested in implementing Data Governance solutions in your company? Let's talk.

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Are you
interested in implementing Data Governance solutions in your company? Let's talk.