We design pragmatic, commercially driven, data strategies that define how current and new data resources and technology can be used to drive better business decision making and drive forward the strategic goals of the business.
Our data strategies are delivered using one of two two models depending on client requirement:
Waterfall data strategy approach
Requirements Gathering - This begins as a natural extension to our Capability Assessment by identifying current business objectives, challenges and the key data use cases for the business.
Vision - The overall vision, objectives and success factors for the Data Strategy are defined through collaborative working sessions, ensuring alignment with strategic objectives and commercial goals.
Strategic Plan - the business case doe data investment is defined and the areas of Quick Wins to the business, which will drive support and momentum for data and where value can be quickly generated, are agreed.
Capability Build - the longer term requirements are defined and set out in a roadmap that aligns with the company objectives and the Quick Wins plane across the four key pillars of data strategy:
Agile data strategy
Our agile approach compresses this traditional data strategy into three weeks. Whilst we aim to cover the same broad areas the effort is on mapping out a pragmatic plan and focusing on the value generation aspects of the quick wins.