Our holistic approach to data management focuses on each of the building blocks - data structures, data policies, data tools and the organization’s employees and target operating model. We collaborate with you to harness the power of transformative technologies to chart a clear business vision and come up with a new data supply chain. We help instill greater trust in data and provide advanced ways to manage it.
The Data Management Roadmap
Meeting Your Challenges
Data management is essential to an organization’s overall strategy since it gives a bird’s eye view on the organization's data, where it resides and how it can be used. Yet, many organizations struggle to implement data management in full swing. Absence of an industry framework, difficulty of carrying out internal assessments, lack of an industry standard maturity model, unavailability of metrics to measure activity and progress and lack of sustained attention to continuous improvement are the most pressing challenges.
Our enterprise data management solution lays the foundation for business-ready data through a solid policy framework and processes that activate accelerated analytics and growth initiatives. We address metadata, data quality, architecture, storage, modelling, integration and data security to help you cope with the exponential accrual of new data. By ensuring an immediate impact across your business operations, we guide you to emerge as market leaders making data-driven decisions.
Data governance will define accountabilities for cross-functional data-related decisions, processes, controls, responsibilities of individual contributors and data stewards. Our data governance experts help you implement well-defined policies and practices, data becomes accessible, secure, consistent, auditable and transparent.
Data integration involves combining data from several disparate sources, that are stored using various technologies to provide a unified view of the data. Our data integration activities such as APIs, shared services, process automation, data load and synchronization and data virtualization are ideal for enabling digital transformation and building a robust enterprise architecture.
Data migration entails transferring data from one system to another while changing the storage, database or application. We work with you to identify the best migration approach right from defining objectives, stakeholders to data analysis, migration design, execution, testing to successful conversion to production.
Data Quality entails validation, cleaning and management of data to provide a 360° view of the organizational data. The quality of data determines the effectiveness and reliability of decision making, thus making it a crucial cog in data management. Data quality management defines data quality threshold and rules, assesses the quality of data, resolves data quality issues as well as monitors and controls data.
As a part of consulting services we create data quality strategy and roadmap, process consulting and provide data quality governance. We also help visualize data quality scorecards and dashboards.
In our assessment module of data quality, we offer services for data profiling, quality analysis, business rule management and data quality audits.
We offer data remediation, quality maintenance, migration and synchronization services to improve data quality.
To manage in-house data quality processes we provide services in Learning and Development, Knowledge Management and also conduct team training.
The other services we provide include management of interfaces, adapters and plug-ins, enterprise reporting tool integration, change management and program/project management.
Reduce development and
Clearly define audit trail
Improve consistency, efficiency