Data Management

“Data” has become the buzzword for assessing economic, social, and other kinds of development.

Considering the competitive business environment, such critical “data” must be strategic.

More often businesses end up with “some-how” or “any-how” kind of data management systems.

At EveDa, our objective is to complement the information management of the clientele system, with emphasis on “This-is-How” management of data.

Conducting As-Is scenario analysis of the organizational processes, our consulting team in coordination with the clientele teams shall create a robust ecosystem of internal and external data management in a systematic pattern.

Get Answer for your data Management questions

Master Data Management

Towards attaining the vision and mission of the organization, the following are some of the critical factors that need significant attention.

Effective Knowledge Management Process.
Systems in place for Knowledge Transfer
Organizational Process Flow for Business Functions
Compliance and Regulatory Functions

The Master Data Management approach can help organizations create an effective process management system.

EveDa can be resourceful in developing an appropriate kind of eco-system for handling business operations.

Big Data

Big data isn't about bits, it's about talent. - Douglas Merrill.

Global case scenarios of big data implementations imply many critical success factors imperative for effectively leveraging big data solutions.

Selection of the right big data tools, alongside ensuring an objective-specific approach across the big data adaption to the business environment plays a vital role.

Some of the key areas where our Big Data expertise is centered:

Top-Down Approach to the Big Data Implementation
Bottom-Up Approach to choosing the tools, techniques, and infrastructure
Data Modelling Simulation Programs for Impact Analysis
Start-to-Finish approach by a dedicated project team

DataOps

DataOps enables enterprises to integrate data supply chain, leveraging distributed architecture for data management efficiently and effectively.

Lower levels of complexity in addition to effective structures for collaboration and faster processing leads to improved process outcomes, which can empower enterprises to handle data on a larger scale.

EveDa team has pioneered in managing processes and technical competence essential to handling the complete lifecycle for reliable DataOps solutions.

Data Fabric

Data Fabric architecture being agonistic to data structures, environments, application dynamics, our customized framework can be expedient in integrating core data management capabilities of a client business environment to its information systems and decision-making.

Data fabric enable querying across data silos and external sources, regardless of data structure.

Our consulting team of data science professionals can guide on the Data Fabric services suitable for your organization.

Data Warehousing

Data warehousing enhances the conformity and quality of data while offering increased speed in gaining insights from historical data.

Data Warehousing systems with scalability from cloud infrastructure can improve cost management for organizations.

Our team can partner for end-to-end implementation of the Big Data systems in an organizational environment across industrial verticals

Data Archictecture

Data Architecture is evolving rapidly as data becomes cloud-oriented, scalable, complex with systems integrations, real-time, decoupled, and extensible.

Objectively, data architecture is to ensure a seamless flow of data between the terminal departments and processes of the organization, enabling and smoothening the real-time information transaction processing.

Constituting a distinct set of Business Intelligence tools and systems, our pioneer teams can develop holistic data architecture support for our clients.