A data COE could be the Missing Puzzle Piece for the UK Healthcare Sector
Healthcare organisations across the UK are sitting on a gold mine of data, but many aren’t utilising it effectively. Part of the issue is the data is often stored in siloed systems, or excel documents, NHSX even stated more than 10% of trusts still use paper.
When healthcare organisations begin to utilise data effectively, the information gained brings a myriad of benefits not only to that organisation but to their patients. For example, with good data analytics, healthcare providers can lower readmission rates, reduce errors, and better identify at-risk populations. All of which contributes to reducing the waiting time for patients and increasing the chances of a good, personalized, and agile service.
To address this, Trusts, ICS’, CSU’ and Arm’s Length bodies are adopting modern data platforms to improve data management, facilitate the sharing of data and make better data-driven decisions. Although, deploying a modern data platform is just the beginning.
To keep pace in today’s cloud and digital world, you need to invest in data services that are continually developed, engineered, and optimised and to do this, you’ll need to build a Centre of Excellence (COE).
A COE is a centralised unit of dedicated people who streamline access to scarce, high-demand capabilities for rapid execution across the business. The COE hones expertise in a specific subject area and standardises best practices for wide-scale adoption.
Building a Data COE requires investment in significant resource and skills which, presents a big challenge.
The UK is seeing an explosive demand for data science skills. Demand for data scientists and data engineers has tripled over the past five years, rising 231%. And as demand outstrips supply, salaries for these roles have surged, rising by over 22% over the same period.
This heightens the issue for public sector organisations, especially those in healthcare. If recruiting wasn’t difficult already, it will now be tougher than ever as many simply won’t have the budget to be able to invest in building an in-house COE data capability. So, what’s the solution?
The ANS Data COE
To address this, we have created a data COE – a team of highly skilled and experienced data experts, designed to give you access to a rich pool of skills and resources as and when you need them.
Our data COE team consists of:
- Data Scientists
- Data Architects
- Data Engineers
- Data Analysts
- Data Integration Specialists
What does this mean for you?
- Access highly in demand skills, on demand – tap into a broad range of skills as and when you need to
- Make significant cost savings – avoid having to pay for very expensive resource in-house and save on recruitment
- Get up and running faster – our team is already up and running and waiting to help you. Attempting to build your own in-house data COE could take months or even years.
- Implement changes rapidly – utilise ANS’ own intellectual property
- Benefit from bespoke solutions – if needed, we’ll engineer capability from the ground up
5 outcomes you can expect from ANS’ data COE
- A periodic review of your environment – including configuration, best practice, and new technology releases
- Turnkey Centre of Excellence combining people, processes, and tooling
- Full customer success plan to drive maturity and operational excellence
- Transform operational capability into an agile, robust function
- Agility and control over prioritisation of work items and tasks
Why you need to advance your data strategy
The financial services industry, like many other industries, have grand plans for digital transformation. A key part of this digital transformation is data & analytics.
Why Data should be the lifeblood of your organisation
When data is used effectively it empowers organisations to make decisions based on facts, trends, and statistical numbers. With data volumes growing exponentially, it’s now becoming increasingly more difficult to locate and surface the right information to be able to make better decisions about strategy and growth.