Today’s businesses succeed or fail by the speed and quality of their decisions—decisions that hinge on the veracity of their data. Where intelligent decisioning is the need, Cognizant’s Data Modernization Platform is the solution. This suite of proprietary tools makes data more readily accessible, reliable and compliant—to empower critical, real-time business decisions.
Today’s business leaders must make effective use of data and analytics. A key impediment is that the data remains inaccessible. Disparate sources of data and inconsistent analytics mean few organizations get the value they need from their data.
Cognizant’s Data Modernization Platform is a combination of pre-engineered products, patented assets and AI- and ML-based accelerators that perform data ingestion, build data lakes, automate repetitive data management activities and transform data. The Platform comprises two core components:
Cognizant BigDecisions®—an end-to-end solution for ingesting data and operationalizing analytics enterprise-wide
Cognizant Intelligent Data Works—a data foundry of automation and intelligence tools to create an AI data pipeline
Delivered via our proprietary Data Modernization Method, they allow business leaders to gain deeper insights for better decisions.
The business is a modern, data-driven enterprise, with an infrastructure that’s part of a high-performing, cloud-based data ecosystem.
The agile, scalable platform handles more data, in more forms, more quickly, enabling business leaders to make better decisions.
The business becomes invested in data security, privacy and ethics compliance to mitigate risk and increase consumer trust.
Key stakeholders see data as instrumental to success and critical for driving business outcomes.
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.
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.
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.
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.
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.
Accelerates the end-to-end life cycle of data integration projects, enabling faster time to market, reduced cost of implementation and improved productivity.
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.
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.
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.
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.
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.