Making your data work better for you
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.
But data mining isn’t easy. As organisations expand, supported by technology innovation, the number of data sources increases, typically in silos. Understanding this data, aggregating it across silos, and providing open and secure access—while still maintaining control and flexibility—requires a broad range of different capabilities and expertise. Our data specialists understand these challenges and can work with you and your business to modernise its approach to data, driving transformational business value.
If data is to be open and shared, it must also be accurate and secure. Data lineage must be clear and understood, owners of data must be confident that their data is being consumed appropriately, and consumers of data must be confident that the purpose for which they are using the data is correct.
Data governance is an often-overlooked challenge, which is becoming increasingly complex. It is essential in the modern organisation. We can work with you to develop appropriate policies, and then collaborate with stakeholders and data owners to ensure they are comfortable with the rules and guidelines, and capable of adhering to them.
There are many patterns for optimal data aggregation, transformation, storage and presentation. None offer a panacea, but many provide guidance that can benefit your approach. Experienced in warehouses, lakes and meshes, our consultants can help you design the appropriate data architecture to meet your data challenges and requirements, one that will align with your governance needs.
As experts in data technologies, we can help you make the right decisions to implement your chosen architecture, be that open source, cloud-native or a commercial product.
Having designed your architecture and selected the matching technology, you’re still not there. You have to implement it appropriately. If you get the 'plumbing' correct, you can achieve the benefits of flexibility and agility; get it wrong, and you can look forward to a life of pain and expense.
We work with you to get data into the right systems, transformed into the right format at the right time. Our expertise across the vast range of technologies enables us to ensure your pipelines are optimised and your datastores are architected and configured appropriately. Only then can you fully realise the value of your data.
Scott Logic’s heritage is in the development of front-end trading systems in Capital Markets. We build 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 in the most high-pressured environments.
Research and exploration form the foundations of our designs, since problems can only be solved effectively once they are understood. We work with users to understand their needs, and shape solutions to focus on key metrics. Typically, the data is presented with comparators: averages, targets, control lines; ensuring users can quickly absorb the information provided to them in the context in which it exists.
With vast pools of data, sometimes human intervention alone isn’t sufficient. When trying to understand the art of the possible and spot trends, you need a little help. We have deep practical experience using natural language processing to simplify searching and mining, and machine learning to identify the patterns in data, not easily recognised by the naked eye.
Of course, we’re not experts in your data. You are. We work collaboratively with your specialists to ensure full value is achieved from your investments.
This blog is about tools that help address the challenge of testing systems which handle large data volumes. We’ll see why creating a large, realistic and valid test data set is hard, how test data generators can help, and compare some of those available.
Andy Hickman
Create your own Elasticsearch cluster in cloud in next to no time. Leverage ElasticHQ and CloudWatch logging to gain transparency. Excerpts from a client project.
Zinat Wali
Organisations across the globe have been on a journey to find the optimal approach for managing and leveraging analytics data. In this post, Andrew sets out each of the key milestones on the journey, to arrive at the latest milestone – the Data Mesh paradigm – and asks whether it is really a thing.
Andrew Carr
