SAP Data Quality Management

Confidence during decision making has increased by visualizing quality data cleansed by SAP Data Quality Management within our business units.

Without quality data, it's impossible to have accurate insights, which deteriorates customer satisfaction. SAP Data Quality Management infuses data cleansing into business processes and data sources to easily improve the integrity of data.

SAP Data Quality Management focus is on data security, quality, and validation of anything before it gets into the system. Besides, SAP Data Quality Management has defined mechanisms for advanced data filtering, all embedded to screen and reevaluate the data before the company consumes it. Further, SAP Data Quality Management has modern data analytical proceedings, all working with some amazing data control applications. The data backup feature, with instant mechanisms of data restoration, comes from SAP Data Quality Management.

SAP Data Quality is a refined, constructive, and advanced data filtering system, that ensures every content or data get full streaming for the ultimate goal of analytics and control. Further, SAP Data Quality supports data management, a productive option for supporting data infrastructure and set procedures. Through a concrete analytical inference, SAP Data Quality has made the predictive measures effective, and more enabled for demand planning. Lastly, sales are evaluated by SAP Data Quality, and definite measures are deployed to improve the supply in the market.

SAP Data Quality is known for data cleansing, making sure there is proper filtering of what should be utilized for advanced analysis. Further, SAP Data Quality offers a cloud space, that is completely divided, for an easy assortment. Besides, SAP Data Quality seeks help from different SAP products, for detailed analysis, storage management, and even predictive evaluations. Lastly, for customer help, SAP Data Quality is committed to [transforming and eliminating] the doubts that new subscribers have with the tool.

A widely used tool across sales and marketing departments of our organization for getting enhanced, cleansed, harmonized, and quality data that is always handy for decision making.

Through quality data processing, we are able to determine the right target audience for marketing campaigns which helps to eliminate the cost of publication, mistakes of identifying relevant accounts, and inaccurate information which causes delayed shipments and payments. It embeds data cleansing and enrichment services with a self-service, right-sized consumption model.

SAP Data Quality Management let us improve contact data quality with address validation and geocoding. We also use it for data cleansing and enrichment for address data.

It is mostly being used in the sales department to keep track of customer data. We are able to create records of customers as well as our partners. Our purchasing department is going to use this soon for vendor records as well.

We have been using the SAP Business Objects Data Quality Management for a while for almost the whole organization. The tool helps the organization to maintain the data reliability and extract the information needed for the huge database. The tool has some automated data testing options to screen the data before it enters the database and helps the organization to rely on the data.

SAP is widely used in my organization. I'm unsure of the extent of its international usage, but it's what everyone uses in our US-based assets. It's filling our need for financial accounting and time keeping. In a way, I guess it is also helping with some project organization. A very useful tool.