Cloud Migration Framework

Assessment & Preparation: During this phase, we work as one team to prioritize specific opportunities for extracting value from your data. We do this through a structured questionnaire, by challenging your internal assumptions around what’s possible, and through in-depth exploration of your enterprise processes. The outcome is a set of quantified opportunities to extract business value from your data. These engagements are typically immersion and cross-functional workshop-style interactions where we work together with your business teams and data science intellectual capital.

Automation in Discovery: We utilize automation tools that parse your data that expedites data archeology including data relationships, data quality and security infrastructure.

Prototyping: Our Prototype projects are 4-6-8 week engagements during which we create a production ready Minimally Viable Product (MVP) proving (or disproving) a hypothesis based on a prioritized business Use Case using your data. We work together with a focus on learning and iterate very quickly. We might want to develop an MVP showing that Machine Learning techniques could deliver significantly better results than your existing algorithms. Or, we design a pipeline allowing for 10x faster processing, allowing real-time applications. The outcomes are a tangible learning’s of how advanced data engineering or machine learning techniques could transform your business.

Model Training & Validation

CI/CD Deploy: “Continuous Integration /Continuous Delivery Deploy” projects focus on delivering high-quality, enterprise-level big data or machine learning applications that run in the production environment and transform the way your business works. We design and deliver advanced data pipelines leveraging AWS, MS Azure and Google Cloud Platform features. We deliver cloud-based, state-of-the-art systems that are scalable and future proof. Leveraging Cloud Platform technologies avoids high capital expenditure whilst keeping operational costs in line with your business needs (pay-as-you-go). We build blazing-fast dashboards built using best practices in data visualization that will not only deliver insights when you need them, but are aesthetically beautiful.

Scaling & Optimization: In “Optimize” projects, we engage with clients who have existing cloud-based data pipelines or machine learning models, but where opportunities exist to significantly improve the delivery, accuracy or cost benefits of the results. We work with you to identify the gaps and bottle-necks in your architecture, and suggest and implement actions to remediate. This may happen through architectural changes, introducing new technologies, or re-writing (parts of your) delivery model.

DevOps & CloudOps

Streamlined Agile Methodology: We have streamlined and geared our delivery model to align to delivering high velocity benefit streams for the business with Minimum Viable Product releases

Structured Change Management: We work with the project sponsors to instrument and guide the process of change to support the innovation.