Knowledge Graph Services

Data Integration

Our data integration involves a process of extracting, transforming, and loading data from multiple data sources into a single, usable format (RDF or semantic  triple) based on ontologies and loading it into a knowledge graph. This process is essential for businesses that need to use data from a variety of sources to make informed decisions. Our process of data integration typically involves the following steps:

Requirements gathering phase: Our team will work closely with business stakeholders to understand their data needs and requirements. This includes identifying the types of data sources that need to be integrated, as well as any transformations or manipulations that need to be performed on the data, and schemas or ontologies to properly identifies and maps concepts and relationships.

Data profiling phase: Our team will analyze the quality and structure of the data from each source. This helps identify any data issues that need to be addressed before the integration process begins.

Data mapping phase: Once the data sources have been identified and profiled, our team maps the data to a common format. This involves identifying the fields that need to be included in the integrated dataset, and mapping those fields to their corresponding sources using ontologies.

Data integration phase: Our team will then integrate the data from the various sources into a single, usable format. This may involve performing complex transformations, such as merging or splitting data, or creating new fields based on calculations or other criteria.

Quality assurance phase: Our team will perform quality assurance to ensure that the integrated data is accurate, complete, and consistent. Reconciliation is needed to ensure that data is not lost or missed between source or target.

Testing and refinement phase: The integrated data is tested to ensure that it meets the business requirements and is useful for decision-making. Refinements are made as needed to improve the quality and usability of the data.

Maintenance and support phase: Once the integrated data is deployed, our team will provide ongoing maintenance and support to ensure that it remains accurate and up-to-date.