Cognizant BigDecisions® is a pre-engineered, end-to-end solution for ingesting data to operationalizing analytics enterprise-wide. It is composed of four modules to quickly construct a data-ready platform:

Ingest

Real-time, metadata-driven data ingestion and processing

Acquire data from multiple types of sources with a robust data ingestion framework and smart connectors that include ad hoc, batch or advanced scheduling options.

Transform

Curate data in real time

Integrate and process complex data flows—both batch and real-time—through a rich and intuitive, drag-and-drop graphical user interface (GUI) that allows easy access.

Govern

Ensure data quality assurance

Perform self-service data quality management—including data profiling, validation, cleansing and data governance—with monitoring and reporting of data quality via pre-built views, drill-downs and dashboards.

Consume

Activate data from multiple sources

Acquire data from social media streams, IoT and enterprise sources, create complex data flows for real-time stream/batch processing of incoming events and develop streaming jobs using an interactive, no-code interface.

Intelligent Data Works is a flexible, capable data foundry with a unique set of AI and ML accelerators that automate manual tasks and make data accessible when and where it’s needed. These automation and intelligence tools, which drive business innovation and outcomes to create an AI data pipeline, include:

Responsive Data Modeling 

Speeds time to market by automatically generating data models; leverages AI and machine learning, performs impact analyses and self-corrects the mapping to load data into the targets.

Data Integration 

Accelerates the end-to-end life cycle of data integration projects, enabling faster time to market, reduced cost of implementation and improved productivity. 

Intelligent Migration 

Accelerates decisioning time by streamlining technology migration projects with end-to-end solutions, including downstream and upstream data integration with applications or databases along with the applications that are running on the existing technology.

Testing Services 

Manages extract, transform and load (ETL) big data automation, providing data access across the organization while saving time and reducing errors; QA leverages the latest big data technologies.

DevOps 

Automates development of complex projects across the organization to make data management more flexible, dynamic and effective; facilitates continuous quality improvements and faster value delivery.

DataOps 

Facilitates full automation of the continuous integration and continuous delivery pipeline, to ensure data is predictable and changes are transparent; increases business leaders’ confidence in data used in their decisioning.

Data Services 

Speeds data to downstream applications and extracts it to external systems and end-user reports; puts actionable data in the hands of those who can effect change.