Are you considering a greenfield data analytics initiative or the replatforming of an existing system? This cloud data project discovery starting at 5 days duration will provide requirements, in-depth analysis, design and planning, allowing you to:
What do you need to get moving?
Whether you are considering a redesign of an existing system to harness cloud-related benefits or starting a project from scratch, getting your data analytics project out of the starting blocks is not easy. Yet modern businesses cannot wait around for lengthy project definitions to make the final cut. Priorities and processes change, sometimes at very short notice. Modern analytical development efforts using a ‘sufficient design up front approach allow an understanding of the solution required at a level that provides acceptable risk mitigation, whilst considering inevitable changes in requirements.
Using the cloud for data analytics has benefits far beyond simply reducing the overhead of managing an on-premises system. There is significant opportunity for competitive advantage due to the scalability, functionality and sheer analytical power on offer from a cloud-native solution.
How can we help?
Our data analytics advisors work with you, employing our cloud data project discovery to define requirements, architect your solution and allow you to proceed in a timely manner with agility across all elements of your project lifecycle. By better understanding your existing data assets they will determine how best to incorporate a cloud-based solution. A cost model will also be defined that reflects the future operational overheads of running those assets in the cloud.
What does our method provide?
Discovery: Identification of prioritised business and IT requirements, both current and future, together with their value propositions and risks.
Analysis: Investigations focusing on areas agreed with you, such as business processes, integration and security.
Design: Capacity analysis, solution architecture and roadmaps.
Planning: Plans for implementation, data migration and service continuity, together with cost estimates.
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