IBM Initiate Inspector

IBM® Initiate® Inspector™ streamlines data governance and stewardship.

Inspects data, visualizes relationships, and collaborates to resolve issues.

• MDM gives organizations new and meaningful insights and views of their data
• MDM exposes complex relationships within data
• Easy to deploy and cost-effective
• IBM Initiate Inspector is a data governance and stewardship application that alerts to potential data quality issues and gives them tools to resolve these issues.
• IBM Initiate Inspector helps distribute the workload to the most appropriate resources.
• Unlike other competitive offerings, Initiate Inspector is designed for the needs of data stewards.

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• Alert data stewards automatically to potential issues that need attention; no searching is required

• Distinguish between issues:
  • Potential duplicates within the same database
  • Linkages of records at different locations for the same file
  • Overlays in which two files are combined into one record
  • Review identifiers, where unique identifiers are detected in more than one record

• Filter data, view and manipulate relationships in which data are involved, and edit errors

• Monitor the effectiveness of data quality processes and track metrics

• Use tags to group and identify issues to manage the workflow of a data stewardship team and enable collaboration across the organization to resolve issues

• Identify and resolve data quality issues specific to relationships that can be derived from the data

• Centralize data definition and editing in organizations without a master data source

• Compare enterprise data, giving data stewards the ability to manage, view and edit these data

• Make more informed business decisions and leverage data across the enterprise in a new and meaningful way

• Inspect and visualize data and relationships of any type (multiplicity relationships and 1-to-many relationships), using tree and network views. Relationships can span multiple entities and multiple domains

• Visualize relationships on a fine grained level or a very high level, e.g. relationships between two specific entities or cloud view that covers 10’s to 100’s of entities

• Define relationships which should be updated if reference data changes, and designate relationships which should not be overwritten

• Determine relationships based on values in the data or manually define them

• Review and resolve relationship issues

• Configure relationship types; for example, owns, purchases, supplies, manages

• Recreate relationships at a point in time with full context around the relationship, including the ability to reconstruct the attributes associated with the relationship

• Manage large sets of hierarchical relationship reference data such as those offered by Dun and Bradstreet and Equifax Austin Tetra

• Maintain and manipulate multiple hierarchies (e.g. pricing hierarchy vs legal hierarchy vs sales hierarchy) via advanced drag-and-drop hierarchy and relationship-visualization capabilities, letting you view the same set of data from different perspectives

• Load hierarchical and other relationship data, create appropriate linkages between them, and enforce those relationships

• Navigate multiple hierarchies with no limits on depth

• View matches between customers to their hierarchies to enable rollup and drilldown analysis and navigation

• View the comparison of internal hierarchies against external reference hierarchy

• Optimize speed and efficiency through collaborative data stewardship and configurable routing rules

• Ensure business rules and priorities are enforced in a continuous and consistent manner

• Assign data steward resources to the issues they are best equipped to handle

• Streamline issue resolution and achieve quality data through an efficient process

• Reduce data duplication levels across all systems and improve the overall level of data quality

• Correct common data quality flaws with data stewards actively engaged in identifying quality issues and determining approaches for resolution

• Apply point-in-time correction and ongoing monitoring and control

• Ensure consistency and accuracy of data as it flows through key business processes that depend on high quality master data

• Achieve data quality metrics pertaining to the accuracy and completeness of information

• Visualize and manage relationships, allowing you to make more informed business decisions across the enterprise in a new and meaningful way

• Win new customers by demonstrating and proving you have higher levels of data quality than your competitors

• Improve service to your most important customers and grow sales by cross-sell and up-sell

• Improve supplier leverage; realize how much you are buying from one vendor, so as not to miss out on volume discounts

• Identify exposure to customers with bad credit

• Report on activity at top accounts and identify customer value

• Understand relationships between individuals and organizations to find all relevant transactions and provide a relevant level of service

• Ensure you provide the right answers either for internal management or the public

• Achieve a single view of critical data assets and their relationships – such as customers, locations or products – across the organization

• Prioritize and manage issues that are specific to high priority business problems

• Ensure the highest priority issues are completed before those of lower importance are begun, aligning governance activity with the needs of the business

• Notify the appropriate person when data or business issues are not resolved within expected organization SLAs