Quickly improve data quality with AI and ML for better operations and insights
Use artificial intelligence and machine learning in SAP Business Technology Platform to quickly identify data patterns and behaviors in your enterprise data. It enables dynamic profiling, intelligent anomaly identification, auto-cleansing features and iterative monitoring to address data quality issues.
Overview
Get thousands of suggested rules in minutes
Instead of the ratio of 3-5 rules per day, when, traditionally, the business provides the rules to the development team, with Intelligent Data Quality, you can accelerate the business rule identification and analysis.
Save with less manual work
By automating the business rules generation, save up to 60% of effort in gathering rules, building, testing and deploying rules and running data profiling, compared to traditional data quality tools.
Increase the business productivity
When using Intelligent Data Quality, the business users only need to approve or reject the suggested business rules, and then spend the rest of the time focusing on what matters: identifying the root causes of the issues and ensuring they do not reoccur.
Details
Solution Type
Extensions and Add-ons
Industry
Retail, Consumer Products, Oil, Gas, and Energy, Chemicals
Compatibility
Works with
Features
Profile datasets from any system
As long as the data is in a structured format, i.e. data resides in a logical database, it can be processed in Intelligent Data Quality. So IDQ not only works with SAP systems (SAP ECC, SAP S/4HANA, SuccessFactors etc), but also with Oracle, Salesforce, Workday, NetSuite etc.
Access IDQ through a user friendly front-end
We leverage SAP UI5 (HTML5) for the tool front-end and users can access the application using an internet browser (Google Chrome). The users can also create rules without the need of technical developers, by simply selecting pre-determined rules in the tool.
Let the tool cleanse your data
One of the most time consuming and tedious activities is to cleanse issues identified in the dataset. With IDQ, we use machine learning to propose the correct value for an identified issue, with the related confidence level. The user can then accept the proposed value or overwrite it.
Plans and pricing
Standard Edition
Monthly subscription fee includes access to the application, as well as maintenance support
Starting from 10 users
Additional license fees can be provided for a block of 5 users
Price is excl. of VAT and any other applicable taxes
Discount for 12-36 months commitment
Pricing includes 1 User
Minimum of 10 Users required for the basic version
- Minimum contract 3 months
- Has prerequisite
Monthly subscription fee includes access to the application, as well as maintenance support
Starting from 10 users
Additional license fees can be provided for a block of 5 users
Price is excl. of VAT and any other applicable taxes
Discount for 12-36 months commitment
Pricing includes 1 User
Minimum of 10 Users required for the basic version
