A Data-Driven Organisation Requires Data Governance

The purpose of data governance is to ensure data quality and integrity throughout the data lifecycle and compliance with regulatory requirements.

In an era of increasing concern about data privacy, regulation and accountability, data governance is necessary to define how organisations use data, enable reproducibility of experiments and to document and validate decisions made based on data.

Migration

Benefits of Data Governance

Ensure decisions are made on the right data
Smarter Decision Making

Ensure decisions are made on the right data

Data-driven decision-making across the organisation
Improved Business Planning

Data-driven decision-making across the organisation

Strategic and operational decisions that reduce costs and increase profits
Improved Financial Performance

Strategic and operational decisions that reduce costs and increase profits

Ensure adherence to regulations about use and security of data
Regulatory Compliance

Ensure adherence to regulations about use and security of data

Reduce security violations through better data handling practices
Improve Security Reduce Risk

Reduce security violations through better data handling practices

Confidence that data is accurate, reliable and usable for analysis
Data Understanding and Lineage

Confidence that data is accurate, reliable and usable for analysis

Maximise use of data in your organization, both structured and unstructured
Improved Data Consistency

Maximise use of data in your organization, both structured and unstructured

Transparency and accountability of historical business decision
Reproducibility of Data Processes

Transparency and accountability of historical business decision

Why Brainpool?

Brainpool has the expertise and experience to guide policy and practice that fulfill regulatory requirements, reduce risk and extract more value from data.

Data services are tailored to your business needs

Data services are tailored to your business needs

We can deploy with any cloud or on-prem service

We can deploy with any cloud or on-prem service

Safe and seamless migration and integration

Safe and seamless migration and integration

Ensure all data channels are encrypted to best practice

Ensure all data channels are encrypted to best practice

Fast and minimal business disruption

Fast and minimal business disruption

Connect datasets from multiple sources and achieve clearer picture of your business

Connect datasets from multiple sources and achieve clearer picture of your business

Maintain and improve data quality and integrity

Maintain and improve data quality and integrity

Complete transparency through testing, validation and reporting

Complete transparency through testing, validation and reporting

Creating a Data Governance Framework

The approach to creating a data governance framework will depend on organisation size, industry, the types of data collected and legal requirements. Here are some of the key steps involved in creating an effective data governance framework.

Business Understanding
  • Understand legal and regulatory requirements
  • Define values
  • Identify relevant stakeholders
  • High level understanding of data policies and infrastructure
Scope & Develop Data Governance Policy
  • Develop deep understanding
  • Determine purpose, scope and structure
  • Rules for ensuring compliance
  • Stakeholders responsibility and accountability

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Understanding everything involved in effective data management can be overwhelming.