SAP Information Steward

SAP Information Steward

Score 8.9 out of 10
SAP Information Steward

Overview

What is SAP Information Steward?

Monitor, analyze, and improve data integrity with SAP Information Steward software. Combine data profiling and metadata management tools for continuous insight into the quality of enterprise information to optimize processes, and enhance operational, analytical, and data governance initiatives.
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Recent Reviews

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Reviewer Pros & Cons

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Product Details

What is SAP Information Steward?

Monitor, analyze, and improve data integrity with SAP Information Steward software. Combine data profiling and metadata management tools for continuous insight into the quality of enterprise information to optimize processes, and enhance operational, analytical, and data governance initiatives.

SAP Information Steward Features

  • Supported: Information governance
  • Supported: Monitoring of data quality
  • Supported: Data-related cost savings

SAP Information Steward Screenshots

Screenshot of Get a complete view of data quality reports by using dashboards and scorecards.Screenshot of Data impact that shows how the data is used so you can access the full impact on any data changes.Screenshot of Data profiling supports governance processes that define data ownership in accordance with business needs, roles, and policies.Screenshot of Data profiling details assess data in terms of accuracy, completeness, conformity, integrity.

SAP Information Steward Integrations

SAP Information Steward Technical Details

Deployment TypesOn-premise
Operating SystemsWindows
Mobile ApplicationNo
Supported CountriesGlobal
Supported LanguagesEnglish, Japanese, German, French, Czech, Hungarian, Russian
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Comparisons

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Reviews

(1-4 of 4)
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Dhaval Gala | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
We used it in global hi-tech companies operating in advanced semiconductor technology manufacturing companies operating in 16 countries in order to leverage consolidated data objects at the group/ country / SBU level
  • Audit trail management of Metadata to ensure due diligence with respect to the quality of data
  • Control features and identification of risk wrt data
  • Ready recknor in form of advance bi reports for procurement and costing kpi
  • Flexible comparison and filter functio ality across cross organisation data
  • Bi capability development
  • Tight Integration with oracle
  • Block chain functionality
Well suited for complex and quickly adaptive manufacturing sector like semiconductor manufacturer where the existence of complex KPI requirement across global platform needed to be reviewed at a single dashboard Not recommended in case where the data origin is directly from very few errors system and activities across the globe are more or less homogeneous
  • Digital dashboard
  • Papm tool (profitability & performance management) integration
  • Sac tool ( sap analytics cloud) integration
  • Leveraging on usage of meta data by ensuring mitigation of data quality risk
  • Provides information system layer to the organization as a due diligence functionality. Therefore, advanced KPI audit functionality made it possible for performance review of employees.
  • Audit trail and other auditing functionality in real-time. ROI: Insights storage for a particular trend
  • Negative impact: cost for skilled labor when activities across the organization becomes more homogeneous
The ability to flexibly connect with multiple ERP tools and cloud analytics capabilities provides sap upper hand in the enterprise data management sector
34
We have many repositories created for consultants inorder to develop infrastructure for the consultants where they can share ideas, template, project specific presentations, worklist, industry specific best practices etc.
It helps in data polishing, streamlining data requirement, auditing data quality and standard
7
BI Technician , SAP Solution Architect to decide the quality of assignments, Business Data Analyst
  • repository maintenance in an structured approach across the organization
  • Auditing data as per the industry specific governance processes
  • Client Data Protection adherence
  • CDP Tools being developed and ready reckoner available for the same
  • Data sharing across business streams
  • BI tools availability
  • Analytics
  • Machine Learning Capability
  • AI
Out of the box solution
Yes
Yes, it replaced Azure software.
Because od the flexibility that SAP provides to connect accross differrent software
  • Product Features
  • Product Usability
Product Features: Digital Dashboard and Jamboard provide very effective business processes
Product Usability and Analytics capability will be the key criteria
  • Implemented in-house
Yes
5 phases across 1.5 years
Distribution of work across multi layered project approach and across vertical matrix structure
  • vertical matrix integration and setup
Ready recknoer tools that act as reference are missing that can help to formulate ;Decision Driven Framework' for various strategic decesions
Support provided by SAP is not so good. It is time consuming and many a times we were charged for unnecessary request such as rectification of error codes
Yes. For addressing key issues reported which has impact on real time processing
No
DSAP Digital Dashboard connection.
Queries w.r.t advance features of SAP Jamboard functionality
It provides out of box solution for information management at organisation level
  • system configuration for setting hierarchical data quality standards
  • Embedded Analytics
  • Technical help required for many purposes
  • Digesting
  • complex data driven setting
Yes
BI reporting works quite well
Score 10 out of 10
Vetted Review
Verified User
This product allows me to effectively profile and monitor data without requiring me to have extensive prior knowledge in such areas. I use it to monitor the large amounts of data that enter my organization and need to be monitored for discrepancies or otherwise unusual trends and pieces of information.
  • User experience
  • Ease of use
  • Data monitoring
  • User interface
  • Tutorial
  • Collaboration
Very well suited to monitoring large quantities and large varieties of data with extreme amounts of detail that would be otherwise impossible to effectively achieve without making many repeated mistakes in data processing. It is not well suited to monitor data collaboratively in a live setting with multiple different colleagues attempting to work at once.
  • Data monitoring
  • Profiling data
  • Detecting abnormalities
  • Improved data flaws
  • Catching mistakes in data
  • Reduced technical errors
Both are great products and I highly recommend both
Score 7 out of 10
Vetted Review
Verified User
SAP Information Steward enables passive Data Governance providing data quality issues insights on organization master data such as materials, customers and suppliers. It provides dashboards and allows to start a remediation process in case any issue is found. The remediation process is done through SAP Master Data Governance. Data Profiling is also a key feature utilized.
  • Data Profiling
  • Data Quality Monitoring
  • Dashboards
  • User Interface
  • Performance
  • Integration
SAP Information Steward is well suited for companies looking for profiling data, monitoring data quality and managing policies. It provides dashboards and features to create the awareness on Data Quality dimensions. SAP IS is not suited to manage huge amount of data due to performance issues. It is not designed to correct data by its own. However, It can remediate data through integration with SAP Master Data Governance or SAP Data Services.
  • Data Profiling
  • Data Quality Monitoring Dashboards
  • Data Remediation
  • Improvement on Organization Data Quality
  • Real time Data Quality Issues discovery
  • Data Policies effective management
In the case of this organization, Information Steward was part of a suite from SAP together with Data Services and SAP Master Data Governance. In terms of the overall package it was worth it for the company. Informatica cost was higher and the overall benefit from SAP package was the key decision point.
Rajesh Chavan | TrustRadius Reviewer
Score 6 out of 10
Vetted Review
Verified User
SAP Information Steward is being used for data profiling and data quality management. We leveraged it during SAP S4HANA greenfield implementation for data profiling and to manage business rules validation during conversion as well as using it to measure regular real-time data quality checks. It is also being used for generating regular Adhoc profiling reports for business users.
  • Easy to build and deploy.
  • Support various formats for data imports.
  • Easy to operate for business users.
  • More real-time integration scenarios needed.
  • Needs more generic standard content for metadata management.
  • The user interface can be more intuitive based on AI.
In data conversion scenarios, the tool can be used for data profiling, data quality and data verification jobs. However, implementation depends on what implementation strategy or approach the company is adopting.
In real-time scenarios, the tool can be used for generating data profiling and data quality reports as well. Business rules for data quality checks can be built into the tool and can be assigned to end or business users.
  • Leveraged this tool during conversion for data profiling. It was helpful to identify erroneous records before performing load in the data system.
  • We have an MDG system. It would be helpful to have a real-time integration between SAP IS and SAP MDG to trigger MDG change requests.
  • We use it more to manage the data quality aspects of the organisation. Very friendly with business users and can address a business case based on user needs.
SAP DS is more for data conversion. However, it can be used for data profiling as well.
I believe many features from SAP Information Steward are available in other SAP products as well hence it is more confusing for business or customers to do the right selection. Moreover SAP strategy is not very clear for this particular product hence often we are confused while exploring more related scenarios.
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