Unlock your data and harness it to your business strategy to power data-driven decision-making, operational efficiency and competitive advantage.
Businesses have always thrived on insight, never more so than today. With the ubiquity of online digital services, data is broader and more detailed than ever, offering new and exciting opportunities to better understand your business and your customers, and satisfy ever-demanding regulators.
However, it is a complex challenge to build a robust data strategy and a scalable and secure data infrastructure that adapts to evolving business needs while ensuring data quality and governance. That challenge has many facets – integrating data from disparate sources, ensuring quality and consistency, scaling infrastructure to meet growing demands, and maintaining security and compliance in an ever-evolving regulatory and technological landscape.
Scott Logic’s heritage is in developing front-end trading systems in Capital Markets. We have built intuitive systems that present vast quantities of real-time information that traders use to make split-second decisions. We know how to display analytics that can be viewed and understood in an instant, by people working in the most high-pressure environments.
As organisations grow, the number of data sources increases, typically in silos. Understanding this data, aggregating it, and providing open and secure access—while still maintaining control—requires a range of different capabilities and expertise. Our data specialists understand these challenges and can work with your organisation to modernise its approach to data, driving transformational business value.
We rapidly gain a deep understanding of your organisational goals and challenges, as well as the data you hold and how it flows (or doesn’t flow) through the organisation.
We work with your business and technology stakeholders to shape a data strategy setting out a clear vision for the value to be created, supported by a prioritised delivery plan.
We take an iterative and incremental approach to implementing the data pipelines and processes, validating at each stage that they are delivering the expected value.
We upskill your technology teams in the new systems and support you in establishing data governance that drives a continuous process of deriving value from data as your business needs evolve.
Find out how we have helped clients like you with tailored support to tackle technology challenges and achieve business goals.
When COVID-19 took hold in the UK in March 2020, NHS Digital moved rapidly to identify the most clinically vulnerable people in society so that they could be supported to shield themselves. Scott Logic was called upon to provide support in laying the foundations of this critically important new service.
Parkdean Resorts asked Scott Logic to provide expert validation of the business intelligence solution best suited to achieving its business objectives. With the selection made, the client called upon our data engineering expertise to implement the new platform while also enhancing its in-house capability.
While our approach is always tailored to your needs, we have a range of tried-and-tested solutions that speed up delivery and drive a successful outcome.
Many organisations struggle to unlock the full potential of their data due to fragmented systems, poor data quality, and a lack of strategic direction. We work in close collaboration with you to develop a cohesive, future-proof plan to harness data effectively.
Your data and systems architecture need to be up to scratch before you can leverage the potential efficiencies of AI. Our proven experience in both data and AI make us a reliable partner for your ambitions.
Data is intrinsically important to every element of the safe and successful harnessing of AI. In this blog, Graham Odds explains how the public sector can overcome the common challenges across the data lifecycle in the industry to truly harness the potential of AI.
Graham Odds
In this blog, Darren Smith demonstrates the scopes for understanding cloud carbon emission and provides a helpful a comparison of the features of the different tools used to measure emissions from the big three cloud vendors.
Darren Smith
This blog discusses the different data requirements that exist in a typical organisation and provides some suggestions on how to classify them and match them to technologies.
David Hope
In this keynote talk from 'Why you can't buy a good data strategy off the shelf', Peter Chamberlin explains why you can't procure your way to a great data strategy, and encourages you to think differently – focusing on the value you want to create, rather than the technology you think you need to buy.
In this episode of Beyond the Hype, Oliver Cronk, Andrew Carr and David Hope talk about the ever-changing world of data, with conversations moving from data warehouse to data lake, and data mesh to data fabric. They discuss the importance of data ownership and common tooling, and their view that data mesh is an approach rather than an architecture.
If you’d like to discuss how our data specialists can support you in achieving your goals, we’re always happy to chat.
