Data Platforms on the cloud offer tremendous promise to an organisation, through the possibility of immense storage, analysis of vast amounts of data, agility and responsiveness and by providing practically infinite scalability for machine learning workloads.
Data Platforms offer a compelling alternative, switching focus to solving business challenges by having the data to drive the insight and plot a course to the solution.
Born-digital companies have demonstrated how to bypass legacy data systems and leverage cloud scale data processing and machine learning to drive insight into all facets of their business.
Data Platforms have features that can be used to provide intelligence that goes way beyond traditional reporting solutions. Once these features become available and their impact is identified, data engineers can harness their power for additional insight applications resulting in fundamental changes to how you operate.
What to do with data and how to leverage it best faces competing demands from across your organisation.
Developing insight for business performance
Our teams will develop a strategy with you to identify the key drivers and metrics that measure your success across your organisation.
We carve the Data Platform portfolio into a series of work packages and for each one define and design the Data Platform components.
We custom build a multidisciplinary Data Platform team and deploy our proprietary methodologies and frameworks to accelerate work package delivery.
We provide assurance to all your stakeholders and provide evidence that the Data Platform objectives are being met and the delivery phase conforms to the design.
We adopt secure by design principles and help your existing cyber security practice to evolve as you transition to cloud.
We support and mentor your in-house team as they gain ownership and eventual full control. We work collaboratively handing over knowledge and physical artefacts in incremental stages.
New technology is transforming the way immigration services are delivered; making it faster and easier for members of the public to apply for visas and for Home Office staff to make millions of decisions each year.
Speed was of the essence with this job, so cloud-based computing was the only way to achieve this speed. We used Tableau on Amazon Web Services (AWS) to visualise the dataset in this very tight timeframe resulting in visualisations that are available for both the public and organisations to use.
While reviewing different types of vulnerability scanning tools and services, it became very clear that testing such tools would require at least some known vulnerable applications to be configured. However, doing so may take up a considerable amount of time and effort. We decided to use a collection of pre-configured Docker containers and a Bash script to speed up this process.
If you’ve read cloud migration case studies and presentations at conferences for new cloud migration tools, it would be easy to believe migrating to the cloud is straight-forward, if that were true then why do a third of them fail? Click here to read about the challenges of migrating legacy applications and infrastructure that should not be under-estimated.
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