Operational Excellence driven by DataOps

MIT’s DataOps service offering enables our clients to move from the expensive and complex role of producers and managers of data, into the competitively advantageous role of data consumer.

By moving the onus of Data Management activities to the experts (us), we allow our clients to focus on their core business.

DataOps is a collaborative approach for Master Data Management, Data Governance, and Data Curation (profile, integrate, transform and catalog) to fulfill your business objectives.

Our technology choices are driven by your existing technology investments and business objectives that are identified during the Data Strategy phase.

DataOps offerings

DataOps offerings diagram

Our DataOps offerings

Master Data Management-Logo

Master Data Management (MDM) is a technology-enabled discipline where business and technology function together to ensure uniformity, accuracy, semantic consistency, and accountability of the enterprise’s master data assets. Mastech InfoTrellis has proven success in over 200+ MDM implementations globally including complex ones. Read More

Data Curation-Logo

We help with the discovery and retrieval of data across various enterprise sources. We add value by maintaining data quality, and provision for re-use of enterprise data over time through activities including authentication, archiving, metadata creation, digital preservation, and transformation. Read More

Data Governance-Logo

We guide enterprises to manage their data responsibly through the transition period of collation and collection of data sets. We help build a refined Data Governance strategy to ensure that the data is proactively and efficiently managed in a standardized format. The data can then be accessed and used. Read More

DataOps fosters collaboration between business users, data scientists, and technologists

Our DataOps service offering integrates people, processes and technology. It is supported by sustained ROI that unifies business and technology, while improving effectiveness and optimizing costs.

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Case Studies