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Offshoring Analytics: Is it Worth It?

Planning to be offshoring analytics to meet demand? Read this first.

There has been much talk on LinkedIn and Twitter in recent months about the shortfall in analytical resource, for the USA & UK markets especially.

Several years ago I had the learning experience of attempting offshoring analytics to India, Bangalore to be precise.

It was all very exciting at first, flying out there and working with the team whilst visiting the UK. International experience for what had been a more UK focussed leadership role.

Plus, on paper, it looked a good idea to address the peaks and troughs of demand for analysis and modelling.

The pitch successfully communicated the ease of accessing highly trained Indian graduates at a fraction of UK wages. However, as with all software demos, the experience after purchase was a little different.

I always expected the model to take a while to bed down and you expect to give any new analysts time to get up to speed with our ways of working. However, after a few months, the cracks began to show. Analysts in India were failing to understand what was required unless individual pieces of work were managed like mini-projects and requirements specified in great detail. There also appeared to be little ability to improvise or deal with “dirty data”, so significant data preparation was still required by my UK team (who were beginning to question the benefit).

Once the building of propensity modelling was attempted, a few months later, it became even more apparent that lack of domain knowledge and rote learning from textbooks caused problems in the real world. Several remedies were tried. Further visits to the UK, upgrading the members of the team to even more qualified analysts (as we started with graduates we were now working solely with those who held Masters degrees and in some cases PhDs). Even after this, none of my Bangalore team were as able to ‘think on their feet’ as any of my less qualified analysts in the UK, and there were still not any signs of domain knowledge (about insurance, our business, our customer types, previous insight learned etc) being retained.

After 18 months and to some extent with a heavy heart (as all those I had worked with in Bangalore sincerely wanted to do the best job they could for you), I ended this pilot and instead recruited a few more analysts in the UK. Several factors drove the final decision but they included:

  1. Erosion on labour arbitrage (the most highly skilled cost more);
  2. Inefficiency (i.e. need for prep & guidance) impacting to UK team;
  3. Cost and effort to comply with data security requirements.

Since that time I have had a few customer insight leaders suggest that it is worth trying again (nowadays with China, Eastern Europe or South Africa), but I am not convinced. On reflection, my biggest concerns are around the importance of analysts understanding their domain (business/customers) and doing their own data preparation (as so much is learned from exploratory data analysis phase). The “project-ization” of analysis requests does not suit this craft.

So, for me, the answer is no. Do you have any experience of trying this?

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Paul has over 20 years experience of leading teams to generate profit from analysing  data. Over 13 years he’s created, lead and improved customer insight teams across Lloyds, TSB, Halifax and Scottish Widows. He’s delivered incremental profit of over £10m pa and improved customers’ experiences.

One of his specialisms is combining different technical areas into one holistic team, to deliver insights that can be acted upon to realise value.

Leading Customer Insight at the UK’s largest “Bancassurer”, he changed the role of Insight from being a reactive service into proactively shaping strategy. This meant guiding product & marketing teams, pioneering the use of behavioural economics and being a voice of the customer to the CEO and his top team.

Paul now works with organisations to help them realise more value from their customer insight teams. He coaches & mentors insight leaders, measures capability, guides strategy and transfers knowledge.

His work leaves teams enabled to drive valuable actions from insight themselves.

For more information about Paul or any of our content, please use Contact.

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