Managing vast amounts of data is a crucial challenge for any enterprise today. The key is in qualifying and guaranteeing data quality, so that it can be rightly interpreted and acted upon. We believe data governance should always be included in the front-end of any design process to overcome data challenges. This is one of the foundational aspects that underlie strong Front2Back™ transformation.
Mphasis helps establish and maintain data trust through our in-house framework, augmented by our partner ecosystem that includes leading products like Collibra.
Our business architecture-driven methodology, leveraging semantic web modeling, allows building early consensus on business term definitions, enabling successful implementation of master data management solution that creates the golden record reference for critical entities like customers and products.
With a domain-led and crawl-walk-run approach that often features an agile hackathon, we identify the most important key performance indicators (KPIs) quickly through an agile, early value, delivery approach.
Data hubs for operational data movement optimization, data warehouse/marts for enterprise reporting and analytics, and data lakes (big data) for data science and advanced/predictive analytics.
