With data being the new gold of the digital transformation era, the cost impact of data quality is becoming more and more relevant. In today’s world data is used for decision making across the entire organization.
By leveraging an enterprise solution - SAP Information Steward - and applying the lean methodology Six Sigma, we can offer companies clear evidence of their data quality, the economic impact their business is suffering from quality issues and, even more important, the right tools to minimize this cost.
WHAT IS SAP Information Steward?
SAP Information Steward is an information management tool that combines data profiling, data lineage, and metadata management to gain continuous insight into the integrity of your enterprise data model.
SAP Information Steward allows to understand how the quality of your data impacts your business processes to enhance operational, analytical, and data governance initiatives.
Improved transparency into data origin and lineage
Ability to consolidate, integrate, and audit metadata
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INTEGRATING LEGACY SYSTEMS INTO YOUR ENTERPRISE DATA MODELING AND STEWARDING PROCESSES WITH SAP INFORMATION STEWARD
In this article we’re going to explore the benefits of connecting two SAP® tools, SAP® PowerDesigner and SAP® Information Steward on a test environment performed at Clariba.
This article will show you how: By leveraging an enterprise solution, SAP Information Steward and applying a lean methodology Six Sigma, we can offer companies clear evidence of their data quality, the economic impact their business is suffering from quality issues and, even more important, the right tools to minimize this cost.
Maximize your visibility into data quality metrics
Gain a better understanding of data quality across your data management landscape. Access and analyze metrics by using intuitive dashboards and scorecards.
Enhance data governance with consistent processes
Improve enterprise information management initiatives by supporting analysts, data stewards, and IT experts with consistent validation rules and guidelines.
Lower IT costs and complexity with one solution
Discover, assess, define, monitor, and improve the quality of your enterprise data assets with data profiling and metadata management – all with one solution.
Facilitate collaboration among data analysts, data stewards, and IT experts to substantially improve your enterprise information management initiatives and overall data integrity.
Monitoring of data quality
Get a complete view of data quality reports by using dashboards and
scorecards. Narrow the profiling results to a specific data set to better understand business impacts of poor data.
Data-related cost savings
Forecast the potential savings of improved data quality by running what-if analyses. Then, use this information to secure funding and support for your data quality initiatives.
Support governance processes that define data ownership in accordance with business needs, roles, and policies. Find error hot spots where controls should be refined and adjusted.
Enhance operational, analytical, and data governance initiatives by automating the collection of technical and business metadata for your applications repository and dictionary.
Cleansing package builder
Empower experts to develop custom data-cleansing solutions for any domain to identify and address upstream causes of data issues and reduce the cost of downstream cleanup.
Help ensure your information is accurate and trustworthy by evaluating the merits of changes in your data structures and sources to lower risk and improve data quality.
Empower Business Users
Bridge gap between business and IT with collaborative solution for driving information management initiatives
Govern Enterprise Information
Enable effective data governance with the industry’s first combined data profiling, metadata management, and data quality monitoring solution
Improve Information Transparency
Give instant visibility into data quality levels and origins with end-to-end impact analysis and data lineage
Target Personas for Information Steward
Supports Data Governance initiatives, operational and analytical business processes
Monitors and manages data quality scorecard
Analyzes Scorecard and its impact on downstream processes Collaborates to create business glossary
Creates and approves rules for data cleansing, de-duplication and data quality validation
Oversees the data remediation and enrichment activities
Perform data profiling to understand structure, content of the data assets Collaborate on defining and reviewing data quality scorecards
Define validation rules to assess data quality and apply to different key data domains
Create Cleansing Packages to capture parsing and standardization rules
Analyze Metadata of different operational and analytical systems for impact/lineage relationship between them
Maintain Information Steward landscape
Creates projects and connections Manages user security
Configures IS application
Manages IS tasks and utilities
Data is the lifeline of business today. It’s critical that you not only proactively manage data quality to eliminate the risk to your operations and analytics, but also look for opportunities to create organizational information excellence and discipline. SAP® Information Steward software can help empower your business to understand, assess, and improve the trustworthiness of information to transform it into a strategic asset.