Enterprise infrastructure that is based on outdated processes
and technologies cannot scale to the volume and speed of modern
data demands
Fragmented data repositories are expensive to maintain, cause
bottlenecks, have single points of failure, and are vulnerable
to security attacks
Commercial-off-the-shelf (COTS) software availability is often
segmented and poorly utilized across an enterprise, which adds
unnecessary costs to business
Complicated, uncatalogued, and incomplete data infrastructure
requires experts with highly specialized skills and knowledge
What we do:
Review incumbent infrastructure and provide recommendations for
modular and standards-based modernization
Migrate data from on-premise data centers to cloud solutions
Provide service-agnostic, API-driven, and scalable solutions
Ensure High Availability and Disaster Recovery (HA/DR) services
Impacts:
Faster implementation of new business initiatives
Ensure that architecture (including operating systems, patch
management, etc.) is automatically and continuously updated
Consolidated infrastructure reduces people costs and increases
economies of scale
Our expertise:
Cloud-agnostic and proficient in all cloud-service providers
(Azure, AWS, GCP, IBM)
Data warehousing: Azure Data Factory, Informatica, Ab Initio
Data modeling: ER/Studio, Erwin
Visualization tools: PowerBI
Our Approach
The three-layer enterprise service below depicts primary source systems virtually consolidated by APIs, which enable internal and external data access and analysis.