EIIG Use Cases

Thorough Understanding of Environment:

Thorough understanding of the environment of the data assets customers plan to migrate: EIIG offers a full inventory of their data assets including codes and reports within hours to make sure every report, dashboard, metric, dimension is accounted for, the source tables are identified, and the transformation logic is documented.

Reducing Complexity:

While the Cloud solves some problems, it also creates new levels of complexity. Subject matter experts, database virtualization, significant testing and mock releases with staff and partners have to all come together for success. EIIG helps minimize such complexity by creating a unified view of enterprise data, automating processes to eliminate human intervention, and facilitating collaboration.

Impact Analysis and Change Management:

With EIIG, customers can understand the impacts of any change within minutes. It can provide snapshot versions of the data landscape between iterations, enabling running comparisons and doing impact analysis for root cause analysis.

Solve Data Bloat Problem:

Automatically identify information being stored with no use to business and redundant data assets such as duplicate reports, codes, and tables to dramatically reduce the scope of migration.

Identify Reusable Data and Accelerate Migration:

Empowered by AI/ML, EIIG helps determine which data assets can be reused in the new environment and set up migration priorities and approaches according to the popularity, criticality, sensitivity, and relevance to regulatory compliance.

Automation and Architecture:

Thanks to automation and superior architecture, EIIG can be deployed in weeks rather than months or even years. It is also easy to use and maintain. Customers don’t need to hire expensive consultants to implement EIIG.

Deployment Flexibility:

EIIG can be deployed any way a client prefers, whether it is on prem, SaaS or PaaS. This flexibility of deployment can help reduce costs.

All-in-One Solution:

EIIG is an all-in-one platform with natively integrated capabilities such as data lineage, data catalog, impact analysis and metadata analytics like similarity analysis. Customers don’t need to spend any time figuring out how to make different modules work together as in the case of some other solutions.

Self-Service and Collaboration:

EIIG enables self-service and collaboration. Different personas can get what they need from the same set of metadata and collaboration is made easy since everyone is working with the same centralized intelligence graph with easy access.

Eliminate Redundancies:

EIIG automatically detects duplicate tables, ETL jobs, reports, and data pipelines to help eliminate unnecessary redundancies and thus save money.

Leverage Machine Learning and AI:

Leveraging machine learning and artificial intelligence, EIIG enhances metadata, reducing the workload on data stewards and compliance officers or internal auditors to simplify and automate compliance tasks and processes.

Automated Change Detection and Notification:

EIIG’s automated metadata change detection and notifications are second to none, providing enterprises with up-to-date information so enterprises have confidence in their data and produce timely and accurate compliance reports.

Easily Handle GDPR and Avoid Fines:

EU GDPR imposes fines of up to $20 Million or up to 4% of the annual worldwide turnover of the preceding year. See how Orion’s EIIG helps enterprises avoid EU GDPR fines.

US Cybersecurity Information Sharing Act of 2015 (CISA), EU Cybersecurity Act, Japan’s Basic Cybersecurity Act, China’s Cybersecurity Law and others provide rules that security systems/processes have to follow.

California Privacy Act:

Privacy restrictions aren’t only for the EU. US California CCPA/CPRA, Colorado CPA, etc. include provisions like the right to access, delete, and opt out. Read how EIIG covers the California Privacy Rights Act.

HIPAA Compliance:

HIPAA Non-Compliance includes penalties and/or enforcement rules. See how Orion Governance helped one enterprise establish a data governance program to achieve HIPAA compliance and save money.

Orion EIIG helps financial firms with data management including achieving Sarbanes Oxley Act of 2022 (SOX) compliance.

Enhanced Compliance with Regulations:

EIIG starts with a bottom-up approach by automatically collecting all forms of metadata, be it technical, business, operational, or social, and building a catalog and providing traceability automatically on the basis of these facts of the data assets.

These capabilities provide financial services organizations with a trusted data foundation and unapparelled end-to-end traceability to comply with regulations such as BCBS 239, CCAR, IFRS-17, FRTB, MiFID II, CCPA, GDPR, and SOX as well as meeting the needs of the internal auditors.

Modernization on Fast Track:

By supporting a wide range of technologies, both legacy and modern, on premises and in the cloud, EIIG provides financial services organizations with a thorough understanding of their data environment to assess their cloud migration readiness.

With capabilities such as impact analysis and similarity analysis, EIIG allows financial services organizations to automatically identify dependencies, rid of data bloat, determine data reusability, and thus speed up modernization process.

Accurate, Timely and Trustworthy Financial Reporting:

By building both intra- and inter-system connectivity and visualizing it within a knowledge graph, EIIG enables financial services organizations to gain complete transparency of their enterprise information flow, from source to report, laying the foundation for comprehensive, accurate, and trustworthy reporting.

This transparency is further enhanced through the propagation of key metrics, including data quality, code quality, defects, and business requirements, across all data sources.

EIIG also offers automated metadata change capture and notification capability to eliminate the manual efforts to validate data underpinning a financial report. 

Accurate and Timely Control Over Anti-Money Laundering Systems:

EIIG strengthens financial services organizations’ internal control and AML compliance regime. It enables connectivity between all relevant data systems such as money service businesses (MSBs) and transaction monitoring systems. It automatically and intelligently ingests information all the way from the mainframe to the BI reports used by the executives.

EIIG can handle complex data sets on large scale, be it risk models developed in Python or legacy transaction applications written in PL/1 or COBOL. By doing so, it provides the auditors with end-to-end traceability of information that is current and easy to understand.

With EIIG, banks can rest assured that they comply with the Bank Secrecy Act (BSA) and AML regulations by showing that their independent tests are comprehensive, adequate, and timely. They can significantly reduce operational and reputational risks and save millions of dollars in potential out-of-compliance penalties. 

Improved Data discovery, Sharing, and Collaboration:

With EIIG, builds a comprehensive inventory of data assets from a wide range of sources and enables data citizens at financial services organizations to easily discover and share data for purposes such as analytics.

EIIG also offers data lineage in multiple layers with the same data model so that users can choose the perspective relevant to them and collaborate on data initiatives more easily. 

Boost Unified Commerce with a Centralized Information Knowledge Graph:

EIIG’s capability of handling complex datasets from a wide range of technologies enables retailers to break down data silos and bridge various complex systems to present a unified and near real-time view of disparate data traveling through the omnichannel supply chain data landscape.

EIIG offers real-time observability of data movement and actionable insight, thus enabling retailers to minimize missing orders and optimize profitability. 

Easy Discovery of and Access to Trusted Data to Assure Timely and Accurate Decision-Making:

EIIG helps retailers establish and visualize the single source of truth of their omnichannel supply chain data in a knowledge graph. This knowledge graph also entails granular data lineage with field level details and deep cataloging capabilities, which enable users to quickly find the data they want.

On the EIIG platform, a single model offers multiple views, satisfying the needs of different personas. With active metadata, EIIG offers continuous monitoring of data quality by showing the data quality score at each stage throughout the various and complex data systems from the source to the end point.

With end-to-end data transparency and easy data discovery and data access, EIIG also promotes collaboration and facilitates communication between stakeholders. 

More efficient collaboration and communication will translate into better customer satisfaction and more revenue growth.  

Modernization on Fast Track: 

EIIG offers thorough understanding of the environment of the data assets customers plan to migrate for migration readiness assessment. It provides a full inventory of their data assets including code and reports within hours to make sure every report, dashboard, metric, dimension is accounted for, the source tables are identified, and the transformation logic is documented.

Empowered by AI/ML, EIIG helps determine which data assets can be reused in the new environment and set up migration priorities and approaches according to the popularity, criticality, sensitivity, and relevance to regulatory compliance.

In addition, with EIIG, customers can understand the impacts of any change within minutes. It can provide snapshot versions of the data landscape between iterations, enabling running comparisons and doing impact analysis for root cause analysis.

This capability also makes application development more agile: the testing team can now clearly see the dependencies and narrow down specific data to test instead of boiling the ocean.

Cost Reduction with Automation and Powerful Analytics:

EIIG helps retailers understand the flow of information before they modernize. It automatically pinpoints information that has no value for the business and identifies redundant data assets such as duplicate reports, code, logic, and tables to dramatically reduce the scope of migration. 

Often, in the complex retail supply chain environment, it requires several SMEs such as data engineers, domain experts, and business managers to come together to troubleshoot some issues. EIIG eliminates such triage cost by providing automated end-to-end traceability and visibility. Another major way of reducing cost is through automation based on the bottom-up approach. When deploying EIIG, there is no coding involved and no need for hiring a team of expensive consultants.  

Enhanced Data Security Privacy:

EIIG offers capabilities such as access control and automatic tagging of sensitive information such as PII and patient records to enhance data security and privacy at healthcare organizations.

Improved Regulatory Compliance Regime:

EIIG provides both intra- and inter-system connectivity and comprehensive data traceability as well as automatic identification of sensitive information to ensure compliance with regulations such as HIPAA and GDPR.

Modernization on Fast Track: 

By supporting both legacy and modern technologies encompassing the mainframe, NoSQL, ETL, and BI reporting tools, data warehouse, data lake, and programming languages such as Python and Java, EIIG provides healthcare organizations with a thorough understanding of their data environment to assess their cloud migration readiness.

With capabilities such as impact analysis and similarity analysis, EIIG allows healthcare organizations to automatically identify dependencies, rid of data bloat, determine data reusability, and thus speed up the modernization process.

Augmented Data Quality:

EIIG incorporates key data quality metrics and leverages active metadata to monitor data quality throughout the data pipeline to minimize errors in diagnosis, treatment plan, and overall patient care.

Improved Data Discovery, Access, and Sharing:

EIIG offers a dynamic data catalog to allow data users at healthcare organizations to easily find and access the data they need to take on a variety of use cases including advanced analytics and new high-value AI initiatives.

Open Architecture for Interoperability:

EIIG is a technology-agnostic platform with an open architecture. With bi-directional APIs, EIIG can be seamlessly integrated with different systems and platforms to ensure data integrity and data exchange.

Unified and Trusted Data Foundation:

EIIG establishes both intra and inter-system connectivity, providing a holistic and unified view of both on-premises legacy data pipelines and cloud environments.

With EIIG, government agencies can build a single source of truth and a trusted data foundation to implement their data strategy and leverage data as a strategic asset.

Data Discovery, Access, and Consumption Made Easy:

EIIG eliminates data silos by intelligently ingesting metadata from a wide range of technology sources and creating a federated view of all types of data in a knowledge graph.

EIIG also offers a dynamic data catalog to allow data users at government agencies to easily find and access the data they need to take on a variety of use cases including advanced analytics and new high-value AI initiatives.

End-to-end Data Traceability:

EIIG scans the source code and obtains the DNA of the data sets to establish the most comprehensive data lineage with field-level details.

With such granular end-to-end data traceability of their entire data pipeline, from source to target, before and after transformation, EIIG enables government agencies to meet both internal and external auditing requirements in an automated fashion.

Modernization on Fast Track:

By supporting both legacy and modern technologies encompassing the mainframe, NoSQL, ETL, and BI reporting tools, data warehouse, data lake, and programming languages such as Python and Java, EIIG provides government agencies with a thorough understanding of their data environment to assess their cloud migration readiness.

With capabilities such as impact analysis and similarity analysis, EIIG allows government agencies to automatically identify dependencies, rid of data bloat, determine data reusability, and thus speed up the modernization process.

Enhanced Data Governance:

EIIG builds a dynamic and comprehensive data inventory for easy data identification. Leveraging AI/ML, it offers automated term-to-asset as well as policy and rules mapping.

This allows data stewards to curate data and set up permission-based access control, promotes effective use of data, and facilitates data sharing and collaboration between teams.

Compatibility and Scalability:

EIIG is compatible with various data delivery styles and can be deployed either in the cloud or on-premises. With bi-directional APIs, EIIG is technology agnostic and can be integrated seamlessly with government agencies’ existing and future data management tools and processes.

EIIG supports the scale of big data, providing consistent capabilities in multi-cloud environments.