Adaptable – Implement adaptive layers where possible to minimise change and disruption on existing source systems as part of integration
Scalable – Building scalable data processing frameworks to support your growing data footprint
Secure – Identify and enforce data security throughout the journey of data with a simplistic approach
Innovate – Bring in innovation as part of modernisation but still not compromising the basics
Accelerate – For large transformation programmes to be successful it’s important to have enablers and accelerators that should help expedite these programmes and Cogniflare has proven experience in building them
Optimise – When organisations adopt cloud adopting a lift and shift approach would be significantly expensive and we excel not only to transform the transition to be cloud native, but also support optimise the operational and management costs.
When organizations move from on-premise to cloud a lift and shift model could be more expensive to run in cloud and generally not a recommended model. Further this also does not provide the ability to leverage the native power of cloud.
We enable enterprise customers to modernize their existing data transformation workloads leveraging the power of cloud and further integrating with the data operations ecosystem. The modernisation also includes identifying workloads that can be run leveraging the right technologies, so it is more cost optimal and efficient which is key as part of cloud adoption.
BI and Advanced analytics play a key role in all enterprises and certain organisations prefer to operate this as a unified service and some prefer to keep them separate. Irrespective of how this is managed the data sourced for these platforms are largely common and there are also overlaps on the workloads that are between these platforms.
We enable organisations by providing a harmonised data layer that can serve both BI and Advanced analytics workloads. Further we also support in establishing a framework where both can co-exist as a unified platform that will enable organisations to reduce their operational and management costs significantly.
Security and Compliance plays a key role as part of the data lifecycle which includes identifying sensitive data elements, transit level encryptions, persistence based encryptions, anonymisation or pseudo-anonymisation of fields, data retention and more.
This is again a space where we have proven experience on implementing data secure solutions at scale as part of our data bridge ecosystem.
Hear from Vodafone Group as they discuss rebuilding their Data Ocean on Google Cloud.Read case study
This particular function of the business manually processed 10’s thousands of purchase orders per month. In addition these purchase orders came in numerous formats such as; scans, images, pdf and spreadsheets.Read case study
In this project the customer desired prognostic capabilities developed for components that had less instrumentation and therefore data than is available for the most critical systems in the airframe.Read case study