When social media is active at its best, consumers are hyperactive on mobile, consumers have access to affordable 4G, 5G data - now a day’s enterprises are more dependent on external environment, competitive forces and social media perceptions than ever. Enterprises spend huge expenses to collect data and normally find themselves overwhelmed by the poorly organized volumes of data. It is also very important to keep the enterprise data secure as any security breach can mean huge losses to customers and enterprise.

Sathyamedha’s enterprise architecture team helps global enterprises to set up data governance, ensure data security, manage data more efficiently and generate correct reports on time to ensure regulatory compliance.

Policy definition and management for data development, data operations, data security, metadata, master data management, data warehousing, BI management, document, content management and data quality management.

Definition of strategic data requirements of enterprise, plan to align data investments with business strategy, prepare blueprint to map IT programs and information assets with business strategy, prepare guidelines to design operational data stores, data warehouses and data marts.

Study AS-IS data security check points, mechanisms, tools, technologies in use, develop best practices, recommendations to improve data content protection during stillness and transmission.

Establishing processes, check points and tools to ensure accuracy, relevancy, interpretability, completeness, uniqueness, timeliness, validity and consistency across various data assets.

Establishing processes, guidelines and tools required to define and manage consistent data definitions across the enterprise. This includes: best practices to handle data inside and outside enterprise.

Establishing process to collect data, transform data, load data, combine data, store data and use data throughout enterprise consistently.