Sathyamedha can help you better extract and act on targeted information with the data management and governance frameworks. Sathyamedha is experienced in using latest data management tools and technology platforms. Sathyamedha has built accelerators and frameworks that leading enterprises use to research and implement data analytics initiatives.
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.
Data architecture: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.
Data security: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.
Data quality management:Establishing processes, check points and tools to ensure accuracy, relevancy, interpretability, completeness, uniqueness, timeliness, validity and consistency across various data assets.
Meta data management: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.
Data integration:Establishing process to collect data, transform data, load data, combine data, store data and use data throughout enterprise consistently.
At Sathyamedha, we follow a four-step process in executing data framework service
Sathyamedha’s process:At the beginning of every engagement, Sathyamedha will arrange exploration, ideation sessions to discuss our customer needs, campaign and island in detail. Sathyamedha’s customers’ requirements, goals, brand guidelines, styling templates, pitch and tone of the designs and various adjustable parameters are explored during this phase.
ApproachSathyamedha's data science team will analyse the customers’ requirements, value propositions, industry, sector, competitors, target audience segments and channels. The team will set the principles and approach to be followed for each piece of content for the customer. The team reviews the plan with the customer and agrees with confidence that the plan is perfect.
CreateSathyamedha's data science team which is made up of data analytics, data science specialists will be allocated to the customers’ content creation and each of the content will be engineered keeping in view the customers brand and styling templates bespoke to the end user’s language, role and location.
TrackOn need basis, Sathyamedha can set up tracking for each piece of content that gets published. Sathyamedha will set up tracking codes, automation journeys and landing pages. Sathyamedha will work with customer’s team to understand how our work is performing and progressing.
Our data framework services were already used in:Sathyamedha’s team works along with customers to get the data framework service output right.