So you’ve migrated to Google Analytics 4 and now you’re wondering,

What do I do now? How do I use this thing?

Download

So you’ve migrated to Google Analytics 4 and now you’re wondering,

What do I do now?
How do I use this thing?

Download

Home / Services / Data & Analytics / Data Governance

Data Governance

In data we trust, and that data has to be safeguarded properly. We help you define your data governance by building a collection of processes, templates and frameworks for your team to use.

Ensure that data is properly managed, secure, and used for its intended purpose with effective data governance.

Value and outcomes

Data governance that looks beyond the 0’s and 1’s. We believe governance efforts should focus on business strategy and outcomes, and the metrics used should be connected with both your data and business priorities.

To ensure success, we encourage our clients to involve decision-makers in devising strategies and workshops to achieve the desired business results.

Trust. You’ll notice we’re pretty big on it

Trust is key to data. Without trust, your teams won’t be able to make informed and contextually appropriate decisions.

We establish a trust-based governance model that acknowledges your data and analytics assets across the enterprise as it is essential for making accurate and contextually relevant decisions.

Transparency

It is important to ensure that your data and analytics governance charter aligns with your organisation’s business values, as well as digital ethics principles. We make sure it designates roles and responsibilities and explains the basis on which decisions are underpinned.

Through data transparency, we encourage accountability by ensuring that all stakeholders are aware of how their data is being used and managed. It also helps to create trust between stakeholders and strengthens their commitment to the data governance process.

Education & Training

We collaborate with HR and plan a learning and development regime to support data governance best practices while following expectations set by policies and standards.

We will help you develop and organise regular training sessions not only on governance but also on the tools, data and assets your team needs to use.

Stop. Collaborate and listen

We ensure that your organisation’s data and analytics governance is focused on collaboration and knowledge sharing, rather than centralisation.

We create opportunities to change the culture around data, by creating a narrative that explains how it can address real challenges and reduce digital fatigue.

Accountability

There’s no passing the buck when there’s an effective system of accountability in place. Decision-making rights are essential for any successful data and analytics effort.

We create a system that provides the necessary oversight to guarantee that responsible parties are held accountable for their decisions, and stakeholders keep the faith in the governance process.

Risk & Security

The greater the risk, the greater the reward? Not always. Most successful organisations balance awareness with caution in regards to risk.

They also take into account any potential risks and opportunities for the future, as well as any weak spots in their security, in order to create the right environment and make sure it is in line with their overall security plan.

Process

This is the 5-step process we use to establish governance

Step 1

Set Analytics Governance Process

Guidelines, data assets, recurring task lists and roles and responsibilities across the team.

Step 2

Define Measurement Plan

Document your business rules, KPIs, targets and existing measurements.

Step 3

Build a Library of Resources

Dictionaries, links to solution designs documents, existing reports, dashboards, training materials, and campaign tracking tools just to name a few.

Step 4

Monitor

Build automated process to monitor data quality, accuracy and integrity.

Step 5

Set Up Analytics and Tag Management Governance

Including naming convention, change request documents and full documentation.

We run a tight ship here. To have a proper analytics governance process, we set guidelines, KPIs, business rules and data assets, and create a library of resources. We also put automated processes in place to monitor data quality and integrity, and have a well-defined tag management governance with documents and naming conventions.

Need help managing and securing your data? Talk to us.

Get a quote

Case Studies

Unification of analytics brings confidence and direction for talent agency, theright.fit

Customer insights and analytics capabilities needed to be improved for platform iteration and board reporting

What we did

We were able to move from many analytics tools across a variety of platforms and integrate them into one unified platform – GTM – to track information easily and accurately for theright.fit.

The impact

Making these changes has created more time for the team to focus on their core business, while better-defined data capture allows for clear, easy-to-interpret analytics that helps guide future iterations and inform the board.

4

Platforms – data unification

20

New data-layer events to track events client-side

Analytics,
Tag Manager

Unification of analytics brings confidence and direction for talent agency, theright.fit

Taryn Williams

Founder and CEO

We engaged the team at In Marketing We Trust to help us take back control of our data. As a startup, we move quickly and often, which means significant changes to flows can result in analytics needing refining to ensure they deliver the information we need in order to pivot in the right direction.

In Marketing We Trust took our existing analytics tools, and combined them to make data collection and dissemination easy. And then they provided training and super clear documentation so that we could take over the task ourselves moving forward – this was empowering and helped us feel secure in the fact that they wanted the best for our business, rather than setting us up for an ongoing retainer that we didn’t need.

It was clear from the get-go that Ben lives and breathes analytics – you could feel it through the screen – and better yet, he was generous in imparting his knowledge so that we could feel some of that enthusiasm too.

Specialist Team

Data & Analytics, Leadership, Specialist team

Benoit Olivier Weber

Head of Digital Analytics

Benoit Weber has been a part of the team at In Marketing We Trust since 2015 and as the Head…

If Google Analytics and Google Tag Manager get you excited too then Benoit could be your new best friend.

View bio

Clients

Technology Partners / Certifications

Testimonials

FAQ’s

What is data governance?

We take data governance seriously to make sure that the data we use is accurate, secure and used responsibly. This involves regular audits of your data sources, monitoring data quality, ensuring secure data storage and handling data according to relevant data protection laws. Moreover, we have protocols to ensure that data is only used for the intended purposes.

Why do I need data governance?

Data governance is important to ensure that data is stored and managed in a secure, reliable, and compliant manner. It also helps organisations maximise the value of their data assets by ensuring that it is used in an effective and efficient way. Additionally, data governance helps organisations to ensure that only authorised personnel can access their data and to ensure that their data is used in a manner that is consistent with organisational policies and procedures.

What are the risks of not having data governance?

The 5 main risks of not having data governance are:

Inaccurate and unreliable data: Without a data governance program, data can become corrupted and unreliable. This can lead to poor decision-making and inefficiencies in operations.
Security risks: Without data governance, organisations are more vulnerable to data breaches and other cyber-attacks.
Regulatory violations: A lack of data governance can lead to violations of industry regulations and compliance requirements.
Loss of competitive advantage: Without data governance, organisations can fall behind their competition in terms of data-driven decision-making and innovation.
Loss of trust: Without data governance, stakeholders may not trust the organisation to securely handle their data.

What are the outcomes of data governance?

Data governance is an important part of any digital marketing strategy. It ensures that data is accurate, secure, and up-to-date, allowing companies to make informed decisions and protect their brand. The outcomes of data governance are numerous and include more efficient operations, improved customer experience, better data quality, and cost savings.

Who is responsible for data governance?

All stakeholders in an organisation must adhere to the policies and procedures set forth in the governance framework in order to ensure data security, accuracy, and consistent use. From executives who create the vision to data stewards who uphold standards, IT professionals who secure data, and analysts who provide insights, everyone must play their part in upholding the data governance of the organisation.