CYBAEA: make money from data

We are the value and growth architects for the data economy; we are passionate about value creation and delivering financial results. We believe data are strategic and commercial assets; we believe in delivering Return on Data; we make Data Science commercially accountable. We help organizations identify and act upon opportunities in:

We are commercially-driven scientists, data scientists, customer experience experts, strategic thinkers, and practical hands-on doers. We can help you discover your opportunities, paint your vision, align your organization, and deliver the bottom-line results.

Contact us now and discover how data can work for you. Or read more about us and how we work.

Client success and thought leadership

Have a look at our case studies for customer success stories, or read our Journal for our latest thinking. You can also learn more about us.

Contact us and let us help you win with data.

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Clients include Amazon, SAP, Bupa, RSA (Insurance), Vodafone (including UK, NL, RO), RSA (UK think tank), O2, KPN/Telfort, eircom/Meteor, Morse plc , Axel Springer, and others.
[CYBAEA Bupa Case Study] [CYBAEA Customer Journey Case Study] [CYBAEA Insurance Advanced Analytics Case Study] [CYBAEA Bupa Case Study] [CYBAEA Bupa Case Study] [CYBAEA Bupa Case Study] [CYBAEA Bupa Case Study] [CYBAEA Bupa Case Study]

Some of our latest thinking

Towards Data Value Management

4 August 2017

► Do you think of your customer base as an asset?

In 2005, we asked the leading mobile company to list their biggest assets. We challenged the answer and encouraged them to think about their customer base as an asset. Considering how much money they spent acquiring, retaining, and growing their customers easily puts the existing customers in the top-5 assets by value, which is true for most organizations.

Read more (~380 words)

Big Data Fail

17 July 2017

For 70% of companies, ‘Big Data’ fail to generate returns above the cost of capital. This is bad, doubly so because the data is from the telecommunications industry which started exploiting big data early and where the scope for exploiting data is perhaps greater (and surely more obvious) than in most other established sectors. Indeed, by 2014 leading telcos were reporting fully 20% of their profits came from big data, clearly demonstrating the opportunities for getting it right. Let’s examine this in more detail.

Read more (~1040 words)

Commercial churn impact from limited data

26 June 2017

Many organizations worry Do we have enough data to gain insights and take meaningful commercial action? The short answer is ‘yes’. The long answer is ‘almost certainly yes’. In this case study, a Nordic giant in the automotive import and servicing business was facing a real crisis in their service centres where low utilisation was driving them to be unprofitable. They were initially sceptical that they would have enough quality data to gain practical insights, but at the end of this project they were astounded by the depths of insights and commercial actions delivered from the analysis, not just to reduce churn but across the business, their customers, markets, and competitors.

Read more (~420 words)