Data Health X: Data Reporting Tool | Bluestonex

Data Health X: THE Data Health Reporting Tool



Data is the lifeblood of any intelligent enterprise. Whether financial, supply chain or other, modern businesses are becoming more and more reliant on their data. This puts a strain on organisations to ensure that their data quality is of a top standard and that they are doing the most they can with the data they have. Without the right reporting capabilities in place, this becomes a near-impossible task.

Data Health X will give you data health checks and a high-level breakdown of the state of your data. Providing an insight into information of where and how records has been used, how frequently, as well as which have been used in a certain timeframe which gives you the ability to identify records relevant for archiving. Currently covering Material and Business Partner objects out of the box, with capability to cover other objects. Data Health X also includes ‘DITTO’, a duplicate check solution to check your data for duplicates, errors and missing records to help drive the cleaning and or archiving of your data.


Data Health X is a data health reporting tool designed to be a simple application that compliments your other SAP applications and systems. It helps organisations ensure their data is in tip-top condition and working as hard as it could be. All this is presented in a simple, easy-to-understand UI.

Data Health Report

As the name suggests, this is a report for your data's health. With the option of setting up a secure connection to your ECC or S/4 system to obtain the data, or utilising an export program we deploy to your ECC system and importing to a Cloud based HANA DB.

Currently available for Material Master and Business Partner records.

Ditto Duplicate Checks

A member of the Maextro family, but delivered as a standalone solution. Ditto is your all-in-one data duplicate and consistency check tool. Powerful algorithms power this simple application that gives you complete control over your search criteria. Search by multiple values and also define a match weighting, allowing searches for exact matches or similar records.

Currently available for customer and vendor records, allowing you to search by name, address, VAT and IBAN codes, Account group and tax code. Find business partners that are unique, duplicates, shared across systems, contain invalid or incorrect data and or Invalid BPs to help you streamline the archiving of data.


Data health X is a data reporting tool that actively monitors your master data. As we covered, it’s capabilities go beyond standard data monitoring tools. It offers live updates on your data, offers suggestions and watches for data duplicates, but beyond that, why Data Health X?


Data Health X promotes best practices of data reporting. When businesses need to sweat their assets, everything counts, and data is included. Data Health X give you complete control over all of your data and how it’s being used. It informs strategic decision-making and supports operational productivity.


Errors in data can start small but quickly snowball. This can have financial, reputational or even legal consequences, so error mitigation is key. Data Health X provides a level of data governance via Ditto duplicate checks. Avoid errors and make the most of your server space at the same time by deleting any lurking duplicates.


Manual data reporting is extremely difficult and time consuming to coordinate, leading to costly inefficiencies if a business needs to react fast. Data Health X solves these issues, automating data reporting by generating configurable reports based on the needs of an organisation. With Data Health X, business critical data information is ready and waiting, leaving more time to focus on strategic-level operations.


Data Health Reporting, duplicate checks, and an intuitive UI all under one Suite. Streamline your data reporting capabilities and maximise your master data’s potential with an application that actively works for you and supports strategic goals.


If you currently rely on getting the most out of your data and would like to learn more about how Data Health X can support your data reporting needs, get in touch. We offer a free demo of Data Health to properly demonstrate its capabilities. Contact us for more info.



The topic of Data Health can be somewhat confusing and open to misinterpretation. We've found that the same questions keep popping up so here are the answers to a few of the most common ones.

Data reporting is the process of collecting and converting raw data into meaningful information via an easily understandable format. Organisations use data reporting to inform and underpin strategic decision-making as it can be used to answer many questions about an organisation's productivity and weaknesses.

Data provides insights into measuring the progress of every part of an organisation. These insights inform day-to-day changes all the way up to strategic shifts. It highlights which areas need more help and attention and which are getting too much. It’s the ultimate way to level the running of an organisation at any size.

Just like going to the doctor, a data health check is periodically checking in on your data to test that everything is in working order. It looks at the quality, how it’s being used and what it can tell you about where to go next. Again, as with a doctor, it’s best to catch health issues before they have an impact. This is the same with data health. Using data reporting tools like Data Health X helps organisations to keep the wider organisation healthy by first looking at the data that underpins it all.

If erroneous data enters an organisation's database, it can have physical consequences, either financial, reputational, or legal. Managing Data quality is an essential task for modern enterprises. Here are five ways to measure the quality of your data and mitigate data errors:

• Historical error rates
• Run a duplicate check using Ditto
• Determine which data isn’t being used anymore, this could be wasting storage
• Time-to-value data calculations
• Review data collection techniques- is there enough governance?

Potential data duplicates in a system can start small but have large impacts. Not only can this create errors which lead to payments being made twice, products being misassembled or customers not getting what they expect. It can also be a waste of storage in an age where lean data is essential to competitive advantage.

There are three ways to check for duplicates in master data:

• Use the duplicate check function and manually select in S/4HANA
• Manually check through data and remove duplicates. This is time-consuming and monotonous.
• Use a duplicate check tool like Ditto to identify all duplicates in one automated go. Approve removals and move on to the next task.