
Camelot Data Analyzer
Manage Your Data Lifecycle by Identifying Inactive Data
Data is your company’s most valuable asset and the foundation of the most critical business processes. Give it the value it deserves! Camelot Data Analyzer provides detailed insights on how your master and reference data is used in your organization. Find out if your data is up to date, outdated, or even not in use anymore. Ensure your business decisions are based on reliable and efficient data.
How the Camelot Data Analyzer supports your business transformation:
Camelot Data Analyzer provides the following add-ons:
Identify inactive business partner master data
The Camelot Data Analyzer efficiently manages the volume of crucial business partner data across transactions by evaluating your ERP data across company codes and organizational units. It also presents potentially inactive and inactive data along with the associated contact persons.
Identify inactive material master data
Up to 20% of materials within your system are currently outdated, leading to a significant decline in process efficiency, system performance slowdowns, and the tying up of capital in unused stock. The solution analyzes the materials within your SAP ERP system and their dependencies, offering a clear way forward for optimization.
Analyze your reference data
Validate and pinpoint discrepancies in the utilization of reference data (customization) throughout your system landscape. Detect inconsistencies in the customization applied to your master and transactional data, ultimately playing a pivotal role in ensuring a smooth transition from the legacy system to your new SAP S/4HANA target system during the transformation process.
Measure data quality
Ensure data accuracy, reliability, and trustworthiness throughout the organization by defining and visualizing KPIs and their computation for measuring data quality. By leveraging best practices from previous projects across all industries, the Dashboard provides valuable assistance that leads to better decision-making, improved operational efficiency, and enhanced overall performance.
Benefits of the Camelot Data Analyzer
Subscription and Pricing
Camelot Data Analyzer comes with different functionalities and bundles. Find below an overview of the available subscription plans and pricing:
SAP S/4HANA – Data Readiness Check
10,000 € per quarter
- Discover the potential of an inactive master data object within your SAP ERP System (Single Source System) on an aggregated level
- Minimum 3 months contract duration
CDA – Master Data Object
40,000 € per year
- Identify inactive Master Data within a single source system and gain detailed insights into your data lifecycle and transactional data
- Yearly subscription
Additional Master Data Objects
20,000 € per year
- Add further master data objects to the initial subscription of Camelot Data Analyzer to ensure a full-blown data lifecycle management of your master data
- Yearly subscription
Additional Systems
10,000 € per system
- Option to consider the master and transactional data in your initial subscription to Camelot Data Analyzer for additional systems from your SAP system architecture such as SAP ERP, SAP MDG, etc.
- Yearly subscription
DQM Dashboard
10,000 € per year
- Expand Camelot Data Analyzer functionalities by adding continuous monitoring of the key performance indicators and business rules within an interactive dashboard to measure and increase the quality of your data
- Yearly subscription
Technical Information and Deployment
The Camelot Data Analyzer works as an extension or add-on with
– SAP Business Technology Platform
– SAP Extension Suite and/or SAP Integration Suite
– SAP Analytics Cloud
– SAP Datasphere
The Camelot Data Analyzer integrates with SAP Cloud solutions using standard SAP-approved interfaces and APIs.
This product is delivered online as a subscription service.
Assistance is provided to enable all target users to install, configure, and use the solution.
Contact

Timo Hasenohr
Sales & Business Development ManagerPassionate about helping data-driven organizations manage and add value to their data.