Data integration

Data Integration is one of the largest pain points in modern enterprise information technology.  It is a primary cause of:

- Delivery delays and high costs associated with having IT building custom code for each integration project or having to piece together a myriad of non- integrated technologies by providing a single, integrated and easy-to-use solution.

- Business and technical problems caused by inaccurate, contradictory and inconsistent data.

- Need to acquire new tools to meet the changing needs of each new data integration project your organization must complete bringing to market a single enterprise solution that can handle all your data integration activities.

The ALG Solution

ALG offers the development of comprehensive data integration solutions that provide organizations with the flexibility, reliability and agility to respond quickly to new data integration requirements, consolidate vendors, standardize on one integration solution and reduce the overall cost of data integration.

Complete Solutions. ALG can provide a comprehensive enterprise data integration environment with the ability to meet the full spectrum of data integration needs. ALG can deliver a data integration solution that is tightly integrated with performance and reliability built-in.

Reliable. ALG solutions are time-proven to be "rock solid", trusted, stable and resilient. You can rely on ALG as a company with our 10 plus years of growth. You can rely on our commitment to our customers with unparalleled technical support and expertise that spans many industries. The reliability, stability and accuracy of our solutions is validated by our loyal customer base.

Flexible. Regardless of your data integration needs, from simple, one-time migrations to complex, real-time integrations, ALG can help you leverage technology that can meet those needs–in a way that is appropriate for your organization's unique circumstances.

Our proven capabilities include:

  • Connectivity and metadata – Leverage all data, regardless of source.
  • Data cleansing and enrichment – Profile, cleanse, augment, and monitor data to create consistent, reliable information.
  • Extraction, transformation and loading (ETL) – Extract, transform and load data from across the enterprise to create consistent, accurate information.
  • Migration and synchronization – Capture and propagate data changes in real-time to ensure data integrity, consistency and credibility.
  • Data federation – Query and use data across multiple systems without the physical movement of source data.
  • Master data management – Quickly and reliably create a unified view of enterprise data from multiple sources.