Data Management & Integration

Leverage the true potential of raw data with data integration. It incorporates the data from various heterogeneous sources and in various formats to deliver a unified view to the corporate users. Being the basic information source in the enterprise, data should be drawn and impacted in a way that underlying data is stored, collected, transformed and combined.

With the help of effective data integration, enterprise can address these needs

  • Multiple raw data views
  • Data explosion
  • Increasing cost in managing several data sources
  • Offering basic data to fulfill various data needs

At C Ahead, we have extensive knowledge and experience in providing various solutions with the help of data integration tools, such as IBM Information Server Datastage, Informatica Powercenter, Abinitio, SAP BO Data Services, Microsoft SSIS, Oracle Data Integrator, Pentaho, Talend, SAS and Syncsort. We have strong expertise in Integration-based areas and Data Management to differentiate and standardize.


Here’s what we are offering

Data Quality – This way, we reduce the issue of poor data and clean data downstream

Data Governance – We reduce complexity of data with structured and standardized framework

Data Migration – It improves the process of data migration so clean data can be loaded to new system.

Metadata Management – It helps us consider that business data can be used consistently and understood across the company.

Data Optimization – This way, we can get the most of big data technologies in order to optimize ratio between data value and storage cost of it, while gaining more capabilities to deal with complex data and provide richer analytical experience to the user.

Data Masking – It is deployed across enterprise and it is the scalable solution which can cut costs and efforts by around 40%.

Capabilities of Data Integration in Cloud – It lets you move your capabilities of Data Integration to cloud and support scenarios like data exchange between cloud-based solutions and on-premise solutions, offering non-production environments, along with rapid deployment.

Data Integration Definition and Architecture Consulting – This way, the Data Integration technology is aligned with your business growth needs. With the help of data architecture consulting, you can easily manage complexities and high data volumes.

Enabling Data Integration for Various Business Cases – You can manage several common Data Integration needs of real time services, high volume batch services, Big Data, unstructured data and appliance services. We optimize and manage your Data Integration infrastructure to manage data volumes and achieve more with the help of proper integration components in architecture.

Data Integration Competency – It regulates Data Integration in several lines of business. Standardization can be made possible with our shared services data integration competency service to reduce lead time. We are here to cut down the overall TCO (Total Cost of Ownership) with efficiencies of scale and higher consistency.

Maintenance & Sustenance in ETL Application to provide managed services – In managed services, an engaged business model provides SLA-based responses to you at affordable prices.

Data Integration Administration, Technology Migration, Performance Optimization – It helps you ensure efficiency to manage Data Integration environment along with optimal hardware, business alignment, optimized costs and software.

Data Governance – An organized and sustainable Data Governance model can be established to provide better protection and management of your data assets and control cost, increase revenue, and improve accuracy, quality and consistency of details in order to fulfill long-term and short term business needs.

Meta Data Management – It maintains metadata based on Data Integration as an important asset to improve reuse of data assets, standardization and ease change management.

Our MDM portfolio consists of implementation, advisory, and operation. We work with business-oriented approach to address three different business challenges to offer –

  • Enterprise based MDM – It improves consistency and organizational efficiency in your organization
  • Supplybased MDM – It reduces cost in supply chain
  • Customer based MDM – It improves customer interaction and satisfaction and revenues

We understand the benefits of MDM exist in both operational and analytical spaces. Our Insights & Data model and Service Oriented Architecture (SOA) approach enables us to deliver solutions which promote business growth in both analytical and real time environments. We leverage our long-term leadership and work with technology partners in SOA to ensure improve information and SOA to deliver most of the benefits by improving operations in enterprise.