The Data & Insight Director of a well-known premium retail group requested CVM People come in an undertake a quality and cost assessment of an ongoing Data Warehouse and Single Customer View project being delivered by a big 4 consultancy. The client was concerned about high burn rate and slow progress leading to significant overspend and delivery delays.
Over an initial 6 week project review became clear that the project had some major challenges and had already been through the hands of another global IT house in an earlier failed attempt. Primarily the issues fell into the following categories:
Identified by the business as a key enabler of their new offer management and personalisation efforts across their brands, significant delays – or total failure – to deliver would result in a cascading effect on the midterm ambitions of the business.
After the initial review, it was agreed that delivery of the project in its current guise was simply unrealistic. The mutual decision was made for the incumbent to wind down and hand over to a new team.
The client asked us to stay on and assume responsibility for the delivery of the project – providing project management, design, and engineering services. Our delivery model, focusing on a smaller number of very high skill, high experience resources into key roles with all extraneous, junior, and non-delivery critical resources removed from the team allowed for a significant ramp up in design and build capacity.
On the client side, we realigned the internal resources engaged on the project, ways of working, and requirement/feedback loops to improve clarity and pace, giving the client a better sense of control and ensuring information was disseminated quickly, allowing for blockers to be cleared and decisions made at the appropriate levels.
The single customer view itself provided a unified view of customers across 3 brands and a range of retail and financial services product holdings. Creating a complete, group level understanding of customer for the first time the organisation’s history. Drawing from 100+ source systems, the SCV informed analytic views for Campaign Decisioning, Machine Learning, Customer Insight, BI, Trading, and Commercial Planning.
One of the key purposes of the warehouse was the facilitation of centralised customer base management, driving cross sell / upsell, loyalty, and proactive retention through a unified commercial plan, whilst also supporting the CRM activities of the individual brands. This required the management of a large number of predictive ML models supporting CLV, churn, and propensities for a range of long and short term campaign objectives. To facilitate this, a modelling automation layer was also added.
Finally, we put in place a new operating model and recruited the correct permanent resource to ensure internal ownership of all processes, tools, and platforms for the final product, ensuring a low TCO and maximum control for the client.
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