Common use of Analytics Services Clause in Contracts

Analytics Services. Under an “Analytics Services” engagement, we will assist you with designing and configuring a scalable and reusable federated enterprise data layer that supports a single version of the truth; tasks may include configuring and optimizing connections to databases, big data sources, NoSQL sources, and enterprise applications to access enterprise data for use in analytics and mobility applications; designing an optimized in-memory strategy and publishing high performance data sets to Analysts, Data Scientists and Developers, and Architects, so they can build analytics, models and applications faster on trusted data; and conducting regression testing, reviewing the schema, resolving issues, and implementing a process for on- going data integrity management.

Analytics Services. Under an “Analytics Services” engagement, we will assist you with designing and configuring a scalable and reusable federated enterprise data layer that supports a single version of the truth; tasks may include configuring and optimizing connections to databases, big data sources, NoSQL sources, and enterprise applications to access enterprise data for use in analytics and mobility applications; designing an optimized in-memory strategy and publishing high performance data sets to Analysts, Data Scientists and Developers, and Architects, so they can build analytics, models and applications faster on trusted data; and conducting regression testing, reviewing the schema, resolving issues, and implementing a process for on- on-going data integrity management.

Analytics Services. Under an “Analytics Services” engagement, we will assist you with designing and configuring a scalable and reusable federated enterprise data layer that supports a single version of the truth; tasks may include configuring and optimizing connections to databases, big data sources, NoSQL sources, and enterprise applications to access enterprise data for use in analytics and mobility applications; designing an optimized in-in- memory strategy and publishing high performance data sets to Analysts, Data Scientists and Developers, and Architects, so they can build analytics, models and applications faster on trusted data; and conducting regression testing, reviewing the schema, resolving issues, and implementing a process for on- on-going data integrity management.