Data Integration

Data integration services focus on linking disparate systems and data within your operation to improve their value, performance, usefulness, and functionality. Data integration is almost always a foundational capability and competency within large organizations, meaning that the performance of business applications is largely dependent on the quality, consistency, connectivity, and performance of your underlying data. A comprehensive data strategy, including a formal governance model, is a top priority for companies who want to improve their overall business performance, including improving business processes, transactional systems, business intelligence systems, and enterprise planning systems.


Data integration services
We enable you to successfully plan and implement data integration, data quality, and MDM programs, from data strategy through deployment of new data systems and infrastructure. We bring the appetite and skills to dive into the hairiest of data environments to transform chaos and disparity into highly performing, ordered technological foundations. Services in this focus area include:

Information management strategy: Development of your comprehensive strategy for information management practices, systems, and infrastructure based on business objectives, the current environment, and the envisioned future-state.

Data quality: Optimization of sources, integration, and usage of data as it relates to quality, including completeness, latency, accuracy, and other quality dimensions.

Data governance: Development of specific oversight rules, management, and control schemes as they apply to your data and data environment.

MDM strategy & implementation: Creation of a comprehensive master data management strategy and the deployment of MDM technologies in your environment including attributes such as data definitions, MDM software and systems, and MDM governance models.

Data integration: Architecture, design and deployment of data integration initiatives and employing techniques such as ETL, EAI, ESB and others to connect and align disparate data sources and uses, both in operational and analytical environments