Elevating business through strategic data integration to:
Unlock the Full Potential of Your Data: Drive Innovation and Enhance Decision-Making.
Transform Your Business Landscape: Leverage Data for Unmatched Competitive Advantage.
Achieve Operational Excellence: Streamline Processes and Boost Efficiency.
A robust data strategy is pivotal in formulating a vision and framework that positions data as a central component of organizational function, creating a well-articulated business case and a detailed, actionable plan. By fostering a shared, strategic vision of data utilisation, organisations can achieve enhanced internal collaboration, optimising the practical application of data and positioning their business at the forefront of industrial innovation.
We specialise in crafting pragmatic and commercially-astute data strategies that delineate the optimal utilisation of current and future data resources and technology, propelling informed business decision-making and advancing strategic objectives.
Our strategies consider the entirety of your business's data assets to uncover insights that significantly inform decision-making and goal development. Armed with these insights, clients are able to enhance internal operations, fuel their customer engagement, and uncover new growth avenues, truly leveraging data as a transformative business asset.
VERSATILE STRATEGIC APPROACHES
Depending on your distinctive needs, we implement one of two strategic models: The Waterfall Data Strategy for comprehensive, in-depth strategising, and the Agile Data Strategy for swift, value-centric implementations.
Waterfall Data Strategy
This holistic model is organized into four sequential phases focusing on:
Organizational Alignment: Encompassing Data Leadership, Operating Model, Communication Strategies, and Talent Planning.
Data and Tools: Including Architecture Design, Data Governance, and Data Management Processes.
Analytics: Covering Toolset Selection, Analytical Process Development, and Analytical Routines Automation.
Measurement and Reporting: Integrating KPI Framework Development, Executive Measurement Tools, and Visual Reporting.
This approach unveils a comprehensive strategic roadmap, spotlighting areas prime for transformative, data-driven shifts and assuring substantial growth and developmental prospects.
Discovery and Requirements Gathering
A natural extension to our Capability Assessment, we identify and get to understand our client’s current business objectives, challenges and the key data use cases for the business.
This is the start of the collaboration journey and establishes the art of the possible within data science and analytics.
What does success look like to you?
By effectively engaging with our clients’ key stakeholders, we collaboratively identify the overall vision, objectives and success factors for the data and insights strategy.
Critically this aligns with tangible financial benefits or goals including customer and staff engagement.
Define the business case for data investment and all the business areas for quick wins to be implemented.
This will drive support and momentum for the data strategy and areas where value can be quickly generated are agreed.
Longer term requirements are defined and set out in a 6 month or up to 1-2 year roadmap, which remains aligned with the company’s strategic objectives/quick wins.
It acknowledges the requirements for future adaptations and change management procedures as the strategy is implemented and evolves, while considering 4 key pillars.
A Data Strategy will often uncover commercial opportunities that go beyond the core operations for your existing business and will highlight opportunities for your business to Monetise your Data to your suppliers and wider network. At Beyond we have worked with a number or global organisations to help them develop new revenue streams and competitive differentiation from their data.
Agile Data Strategy
Our Agile approach, ideal for clients seeking swift transformations, concentrates on delivering quick, value-driven wins through:
Data Review: Providing a comprehensive assessment of the quality and availability of data assets.
As-Is Analysis: Establishing the prevailing states of data utilisation and analytical perceptions, alongside a comprehensive gap analysis.
Opportunity Identification: Pinpointing immediate, value-creating strategic opportunities with current data.
Quick Win Implementation: Demonstrating the immediate benefits of a data strategy, catalysing rapid, data-driven organisational transformations.