Data Platforms offer tremendous promise to an organisation.
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.
Using Data Platforms
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.
Data analysis and management:
- Collect, collate and make sense of all the data collected
- Identify and understand which data is useful
- Manage costs of handling data
- Know what questions to ask to harness data effectively
- Scale insight generation quickly and effortlessly
- Use data effectively to form the foundation for AI
- Ensure technical competence matches data needs
Become customer centric:
- Understand customers and changing expectations • Put data collection at the heart of every customer interaction
- Improve personalisation of offerings
- Use insight to tailor products’ features • Innovative ideas for better service
Governance and regulatory environment
- Be secure by design
- Curate and govern the data flowing in and out
- Assurance of service continuity
- Align with risk management objectives
- Manage third party risk
- Ability to manage data within parameters of compliance, security and changing regulation
Developing insight for business performance
Creating a Data Platform strategy
Our teams will develop a strategy with you to identify the key drivers and metrics that measure your success across your organisation.
Architecture and Design
We carve the Data Platform portfolio into a series of work packages and for each one define and design the Data Platform components.
Engineering and Operations
We custom build a multidisciplinary Data Platform team and deploy our proprietary methodologies and frameworks to accelerate work package delivery.
Assurance and Governance
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.
Data Platform scenarios
Our experience has been distilled into repeatable patterns.
Scaling for availability
Decisions in the stream
From puddles to data lakes
Proof to production
Features as a Feature
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.
Insights from our experts
September 10, 2019
How to embed DevOps best practice
The importance of culture and team structure shouldn’t be underestimated. Both have a significant impact on the successful deployment of your DevOps business model.
August 12, 2019
Understanding your DevOps capabilities
Development practices that combine software development and operations to shorten the development life cycle, more commonly referred to as DevOps, are a business model that has been revolutionising the way we work for a few years now, in the pursuit of business efficiencies and benefit to our end-users.
March 8, 2019
Building a knowledge graph
Getting more insight and value from a business’s data, for example through machine learning, first requires a considered view of the data estate. An increasingly popular method is to build a knowledge graph of all data assets in the business.
March 7, 2019
Use cases for graph databases
A graph database stores information as relationships between entities, and represents this data using nodes and edges, instead of using rows and columns in tables. But what are some of best use cases for graph databases?
February 3, 2019
Smart Blockchain – the digital backbone of your business
As Blockchain matures in the enterprise setting, the need to integrate more and more artificial intelligence (AI) into the transaction will increase, and we will start to see the promise it holds – in particular, when it comes to Digital Business Process Management.
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