Kyvos + Impetus
An end-to-end solution that helps you migrate your existing data silos to cloud or an on-premise big data warehouse using automation, and build an analytics platform on it that serves business users across the enterprise. The solution follows an incremental approach with five main stages to ensure a holistic solution for maximum business benefit.
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Laying the foundation for a Unified Logical Data Model
Automated inventory and profiling of current workloads to identify the offloadable entities. Data-driven assessment to right-position your workloads in the big data environment for both cloud and on-premises.
Automatically move data to an optimized data model, translate logic into big data compatible code, and execute them on any standard big data environment.
Simplify and improve how you prepare, manage and deliver critical information to business. Integrate disparate heterogeneous sources, enrich data quality using analytical transformations, and maintain a centralized data lake on top of a consolidated, scalable platform.
Deploy a scale-out architecture that delivers very high performance at any scale, regardless of the number of concurrent users. Provision fine-grained access control and strong authentication for safe access across the enterprise.
Build an enterprise BI consumption layer on Big Data platform that enables business users to securely leverage big data for interactive, multi-dimensional analytics using their existing BI and Data Science tools.