Advisory
Data & Insight Strategy
Purpose
Whether you’re exploring how AI will transform complex tasks within a larger organisation or looking to evolve basic MI and reporting operation into a more sophisticated customer insight operation, every organisation needs an appropriate data and insight strategy to support thinking, investment and business operations.
We work with organisation of all sizes to align data and analytics activities, investments, technology, and governance into a roadmap which supports business objectives.
Approach
We work with our clients to:
- Assess existing data and insight assets against business neds and requirements
- Review data and platform architecture and tooling against current needs and future ambitions
- Identify gaps in data acquisition, quality, and retention
- Develop a prioritised roadmap of improvements and development to support wider business strategy and activities
- Develop pragmatic data management and governance processes, documentation, and controls balancing value to the business with privacy and best practice considerations.
- Align data science and BI asset development to marketing, operations, and wider business needs.
- Embed build, release, and feedback loops and cadences into the operation
Outputs & Benefits
- Data and insight better aligned to the business, reducing wasted effort and time to value for new data assets.
- Improved insight to support strategy and decision-making across the business
- Improved governance and controls of data from acquisition, through engineering and monetisation, to retention.
More Advisory services
Capability Audit
Technology Selection
A full spectrum assessment, planning, and management of marketing and data technology
Talent Strategy
End to end talent strategy for in demand Data, Digital, and Marketing resource
Customer Strategy
Data & Insight Strategy
Identify your key opportunities, risks, and value drivers; define customer level objectives and create journeys, treatments, and differentiated offerings to delight your customers and maximise base value
Operating Model Design
Align your data, insight, commercial, CRM, and digital operations around customer objectives, articulating key processes, interdependencies, success measures, and talent requirements
