Strategy for Data Automation

Tender description

Why the Work is Being Done CQC has a clearly articulated strategy to become Intelligence and Information led as well as having a strong driver to increase internal efficiency. Moving to better data automation tooling, patterns and processes are a prerequisite to transforming the intelligence services. This will enable us to be able to draw from a wider range of information, to improve monitoring of risk across health and care and to proactively adopt data science techniques to better inform activity. Automation of data processing will underpin a step change in scaling data processing at a reduced cost. Problem to Be Solved This work will need to define the options for CQC in the following distinct areas: • Strategic case for adopting data automation: Describe how CQC can best drive automation of data processing,the benefits it will create. It will address , replacement of manual process, timeliness of processing, internal and external interfaces, centralised vs distributed primary record storage. • This should inform a change case outlining requirements for internal change ,along with recommendations for investment for additional support to implement cost saving recommendations. • The work should also identify initial target areas for automation and work to embed alternative approaches Who Are the Users x Early Market Engagement Work Already Done Existing Team CQC Digital team Current Phase Discovery Work Location Care Quality Commission 151 Buckingham Palace Road London SW1W 9SZ Working Arrangments z Security Clearance Additional T&Cs Skills & Experience A wide understanding of current best practice in data processing across a range of technology platforms including those currently operating within CQC (Oracle and Microsoft SQL Server). Experience working with similar organisations who have similar complex data requirements and the most beneficial solutions A clear understanding of IT security and Information Governance requirements required in the processing of healthcare data An understanding of CQC’s external responsibilities and opportunities as the quality regulator and holder of the register for within the wider Health and Social Care system Ensuring data processing and associated interoperability and interfacing can be managed in the future within a broader test automation and continuous integration approach to supporting Agile Digital development Nice to Haves No. of Suppliers to Evaluate 3 Proposal Criteria Technical solution Approach and methodology How the approach or solution meets user needs Estimated timeframes for the work How they’ve identified risks and dependencies and offered approaches to manage them Team structure Value for money Cultural Fit Criteria Work as a team with our organisation and other suppliers Be transparent and collaborative when making decisions Take responsibility for their work Share knowledge and experience with other team members Payment Approach Capped time and materials Assessment Method Written proposal Evaluation Weighting Technical competence 50% Cultural fit 20% Price 30% Questions from Suppliers Budget range £70,000