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.

Benefits of Data Governance

Smarter
Decision
Making

Ensure decisions
are made on
the right data

Improved
Business
Planning

Data-driven decision-making across the organisation

Improved Financial Performance

Strategic and operational decisions that reduce costs and increase profits

Regulatory Compliance

Ensure adherence
to regulations
about use and
security of data

Improve
Security
Reduce Risk

Reduce security
violations through
better data
handling practices

Data Understanding and Lineage

Confidence that
data is accurate,
reliable and usable
for analysis

Improved
Data
Consistency

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

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

We can deploy with any cloud or on-prem service

Safe and seamless migration and integration

Ensure all data channels are encrypted to best practice

Fast and minimal business disruption

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

Maintain and improve data quality and integrity

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

Implement the Policy

Prioritise and implement those initiatives that ensure regulatory requirements are met
Gradually roll-out other data governance initiatives according to importance
Standardise data governance policy

Measure the Impact

Understand areas where data governance policies are creating business value (e.g. cost savings, improved data quality, risk reduction)
Identify further opportunities resulting from existing data governance initiatives
Identify performance gaps and assess improvements

Continually reassess

• Reassess and update data governance framework to reflect changing regulations and company policy
• Evaluate new technologies and processes to support data governance programs
• Automate data governance processes

Contact Us

Understanding everything involved in effective data management can be overwhelming.

A Data-Driven Organisation Requires Data Governance

Benefits of Data Governance​

Smarter​ Decision Making​

Improved Business ​ Planning​

Improved Financial Performance

Regulatory Compliance​ ​​

Improve Security ​ Reduce Risk​ ​​

Data Understanding ​ and Lineage​​

Improved Data ​ Consistency​

Reproducibility of ​ Data Processes​

Why Brainpool?​

Creating a Data Governance Framework​