Gain a detailed diagnostic of your data capabilities – with bespoke recommendations tailored to your organisation and its future strategy.
• Maximising use of data for business needs
• Aligning data disciples to business objectives
• Supporting the business in decision-making, efficiency and value generation
"Trusted data - driving sound insights - powering business decisions"
Unlike other industry-benchmarking diagnostics, which compare you to what other organisations are doing, our approach takes a baseline from what you want to achieve and creates a gap analysis to your future – supported by detailed recommendations and blueprint for your data strategy
• Value-based approach
• Aligns the data strategy to business objectives
• Identifies key data strategy components
Maximise the use of data in your organisation for your business strategy.
Enable better decision-making and value generation.
To build a data culture, organisations have to let the data talk for itself. Do colleagues make decisions based on existing data and results or do they lean on subjective experience and received wisdom? What is the culture and behaviours around decision making?
Data analytics is about both technologies and techniques. What is the investment in tools, are they serviceable for your purposes and how well do your colleagues understand how to use them? Can they correctly find trends in data sets and draw conclusions about the information they contain? Is there potential for greater value in line with your business goals? Do all the right people have access?
With 2.5 quintillion bytes of data created every day – and 90% of all data created in the last two years – most organisations need more than human eyes on analytics. Is AI and cognitive analytics helping you find the trends and threats that human beings cannot? Is it being used for the right kinds of data tasks?
Data governance is not just about regulatory compliance – important though that is. It’s also about your capability to ensure that high quality exists throughout the complete lifecycle of the data, and data controls are implemented that support business objectives. In short, is the data available? Is it consistent? Does it have integrity? Is it secure? Does it meet standard?
Is it managed effectively throughout the organisation? Where are the opportunities for improvement? What are the greatest risks? Where is poor data management negatively effecting other areas?
To put the findings in context, we determine the status of your organisation on a data maturty curve.
“Our approach takes a baseline from what you want to achieve for your business strategy, and creates a gap analysis to your future – supported by detailed recommendations and blueprint for your data strategy.”
We provide detailed recommendations that will enable you to improve your data capabilities and supercharge your business strategy.
Identification and assessment of the data linked to business objectives
Business objectives
• Commercial, regulatory, strategic outcomes
Supporting initiatives
• Projects and programmes aligned to delivering the key business goals
Data Drivers
• Existing and new data sets that are core to the delivery of key
initiatives
Value chains
• Linkage between data sets and key initiatives
Roadmap
• Current and future state of data requirements
Utilisation of data to deliver value
Business outcomes
• Delivery of business objectives
Use of data science and analytics
• Methods and techniques to deliver additional actionable insights and
provide market research through exploratory analysis
Insight presentation
• Story telling through visualisation
Actionable insight
• What can be implemented to realise value
New products/services
• Monetisation of data and information exchange
Data governance, management, privacy needs, organisation and skills
Organisational structure
• Structure of the data organisation, internal and external
Ways of working
• Business Architecture driven activities that deliver data related solutions & services and data literacy initiatives to improve the
organisation’s ”know how”
Data Governance & Privacy
• Ownership, structure, accountabilities, policies, rules
Data Management
• Quality, Formats, Provenance, Security, Master Data Management
Data Science
• Analytics, Cognitive science
Data brokerage and acquisition
• Data acquisition and information exchange
Business operating model, data model, supported by technology, tools and capabilities
Enterprise Architecture
• Enabling the delivery of value through having a well defined strategy and clear implantation goals for Business Architecture, Data Architecture, data systems, and the supporting technical infrastructure
Application landscape
• Existing and future tool sets and environments driving Value Realisation
Infrastructure roadmap
• Current and future data related technology needs driven by business focused data needs
Add data skills and expertise to your team on a permanent or interim basis, with our data resourcing services.
Expert teams delivering discrete work packages to improve your data capability.
Quick advice on your data strategy and challenges free from cost from our community data leaders and experts.
