Metadata
Management

• Adapt, grow and evolve at your own speed, while enabling you to transform and address all of your data management requirements
• Accelerate development of data integration pipelines with generated mapping recommendations for extraction, transformation and delivery of data
• Derive structure automatically from unorganized device and log files so they’re more understandable and usable for the enterprise

• Bridge the gap between IT and Business and ensure the entire enterprise is speaking the same language
• Clarify and consolidate the customer base, and identifying customer touch points and customer interactions across the enterprise
• Capture business terms and all associated artifacts and enable the ability to publish terms and offer integrated search to every stakeholder

• Enables self-service through simple search, discovery, and recommendations for relevant data
• Enable generation and delivery of a trusted version of one or more subject areas (data domains) to all stakeholders, in support of various business initiatives

• Improve data visibility for agile data preparation, analysis, and development of automation project modeling and analysis
• Identifies and speeds incorporation of new data sources that should be represented in your enterprise master data
• Recommends additional attributes and hierarchy structures that simplify and enhance master data model enrichment

• Create visualizations and data views that include lineage, relationships, and quality to improve trust and confidence with stakeholders

• Create and manage a central, persisted system of record or index of record for master data
• Establish relationships for generation of enterprise-level traceability in the form of mind maps or tabular reports to the business community

InQuisient’s workflow-based monitoring and corrective-action functionality supports and enhances ongoing master data stewardship and governance requirements.

• Discovers, classifies, and documents key data elements to help you prioritize data governance activities
• Detailed metadata and lineage bridge technical and business context for data governance
• Document data quality in the context of business systems and processes to increase visibility into sources of data quality problems

• Use InQuisient’s “application-neutral” platform to leverage best-in-class MDM across your enterprise without disrupting how you work or changing any existing business applications.
• Gain a comprehensive understanding of your enterprise data landscape to better prioritize datasets and workloads for cloud migration
• Minimize disruption and support migration to the cloud from IQ’s detailed lineage and impact analysis

• Increase compliance transparency through tracking protection status, access, proliferation and risk exposure of sensitive data within the IQ Platform
• Automate subject access requests to ensure appropriate controls through correlating relationships between individual subjects and personal data across structured and unstructured sources

• Reduce the systems and cost of creating and maintaining product, reference, or customer data
• Discover opportunities for benefits realization and optimization after multiple mergers/acquisitions/restructurings
• Gain cross-enterprise access to varied data siloed applications that have point-to-point interfaces to share that data and metadata