We turn data complexity into business clarity

Our approach to running a Data health check helps organisations move from uncertainty to clarity—untangling legacy pipelines, reconnecting data to outcomes, and uncovering buried opportunities for value.

We guide teams through the messiness of growing data estates and laying solid foundations for AI, analytics and decision-making from day one.

Client results from our data health checks

$3 million

savings achieved

20% increase

in data quality

2 weeks

to deliver a comprehensive security health check

Where a data health check delivers impact

Data silos

Valuable data trapped in isolated systems, hindering comprehensive analysis.

Inconsistent data quality

Inaccurate or outdated data leading to mistrust and poor decision-making.

Inefficient pipelines

Manual processes and outdated tools causing delays and errors.

AI readiness

AI initiatives often fail—not because of the models, but because the data isn’t ready.

No product thinking in your data estate

Without a product mindset, data products often suffer from poor quality, limited usability, and low trust.

Lack of strategic alignment

Data initiatives that don’t support overarching business objectives.

Real world results

Our data health checks cut costs. See how we helped a media client save $3 million by optimising their data processes.

Read case study
media tv

Our approach

How we work with you

Understanding your goals

We engage with stakeholders to comprehend your business vision, desired outcomes, and current data challenges.

Evaluating your data architecture

Our team assesses your data pipelines, storage solutions, and analytics tools, focusing on data quality, accessibility, and efficiency.

Data foundations for AI-readiness

We assess if your data is AI-ready—checking pipelines, training data, observability, and governance to spot gaps before you scale.

Delivering actionable recommendations

We present our findings, highlighting quick wins and long-term strategies to enhance your data capabilities.

Insights

Blog

Introducing: The Equal Experts new Data Products Playbook

Case Study

Solving the data pipeline puzzle at John Lewis & Partners

Blog

Crafting quality in data pipelines

Blog

Why your company might need a data health check

Blog

Helping organisations deliver more value from data processes

Blog

Common pitfalls of data pipeline projects, and how to avoid them

Case Study

Keeping data safe and sound

Some of our clients

Waitrose and Partners Logo Pret-a-Manger logo Travelopia logo Tesco Logo Tesco Bank Logo Network International Payment Solutions Logo Springer Nature logo The Economist Logo

Equal Experts in Numbers

4,000+

members of the Equal Experts network

18 years

in business

90%

of our consultants have 10+ years of experience

Unparallelled experience

2x the experience per person than our competitors

A comparison of years of experience between other consultancies and Equal Experts using two triangles. The first triangle has a large base and narrow top, indicating a large number of people with fewer years of experience. The Equal Experts triangle is inverted, with a large number of people with more experience and less people with fewer years experience.

The average industry experience for a typical IT consultancy is around 8 years. The average for Equal Experts is over 18 years, with 90% of our people having 10 years plus. This deep experience means we can assign smaller, more expert teams to save our customers money and upskill people as well as technology.

Ready to check your data health?

Let’s turn your data into a true business asset.