InfoCentric is a data and analytics consultancy specializing in assisting businesses with migrating legacy data warehouses to modern cloud platforms. By leveraging their expertise in cloud data platforms, InfoCentric enables organizations to efficiently integrate, manage, and analyze diverse data sources, facilitating better decision-making and enhanced performance.
Key Features and Functionality:
- Data Engineering and Integration Services: InfoCentric offers configurable frameworks to transform fragmented data silos, including:
- Aggregating data from various sources such as applications, XML, mainframes, flat files, social media, and Hadoop.
- Customizing adapters and connectors for unique data formats.
- Consolidating diverse data types, including structured, unstructured, semi-structured, and real-time data.
- Normalizing, profiling, and cleansing data to ensure quality and consistency.
- Design Services: The company analyzes and designs technical architectures tailored to client needs, considering factors like the number of data pipelines, complexity, data sources, transformation requirements, and consumption use cases.
- Data Management Frameworks: InfoCentric provides componentized solutions that are configurable to simplify the addition of new data sources fitting known patterns. These frameworks include:
- Extract and Acquisition Framework: Extracts data from source systems and places it into a landing area.
- Ingestion Framework: Facilitates data entry into the cloud data platform.
- Transformation Framework: Develops standardized, reusable transformation processes supported by automated testing.
- Process Control Framework: Orchestrates processes across the solution.
- Technology Capabilities: InfoCentric's expertise spans multiple leading vendor solutions, including Oracle, Teradata, Informatica, Amazon AWS, Microsoft Azure, Google Cloud, Snowflake, Databricks, Hadoop, DBT, Tableau, Datastage, Cognos, SAS, and Microstrategy.
Primary Value and Solutions Provided:
InfoCentric empowers businesses to become data-driven organizations by providing fast access to greater volumes and types of data, ensuring reliable and trustworthy data, and supporting advanced analytics and machine learning use cases. Their services reduce the risk of data integrity issues and offer engineering excellence to support future data sources, enabling organizations to make informed decisions and optimize operations.
