Advanced Data Mastering typically uses cross-reference structures to avoid the pitfall of requiring a single answer regardless of the real-world situation.  Advanced Data Mastering focuses on relationships among real-world data, and not on the unattainable perfection of data. Advanced Data Mastering focuses on data, which is relevant to business, at the time of use. Advanced Data Mastering understands that the value of each record for a business varies, and it prioritizes processing of data in the descending order of business value.  Prioritization is key to providing significant business value within days of deploying an Advanced Data Mastering.

Master Data as Connective Tissue

Harmonized Master data is the glue that holds all of your business’s information together.

In today’s world, businesses expect to know everything about their customers, markets, suppliers, products, geographies.  Data is everywhere, and expectations are high. While new technology makes it relatively easy to acquire data from many sources, this data needs to be connected.

Harmonized master data makes the connection possible, unlocking critical business value.

Homogeneous (mastered) data is essential for any business function, but especially for advanced data processing, generating meaningful business insights, analytics, data science, and AI.  Raw data is anything but consistent. It is flawed, duplicated, outdated, and has a high degree of variability, just like everything in the real-world. The idea that we must gain control over real-world data is flawed, and it often leads to frustration due to lack of results and significant expense.

Harnessing real-world data is crucial for advancing any business.

Advanced Data Mastering and Master Data Management (MDM) context

Advanced Data Mastering is a critical alternative to a more commonly known Master Data Management (MDM).  MDM might be considered optional, deployed for highly targeted data improvements.  Advanced Data Mastering benefits from data produced by MDM, but MDM is not a pre-condition for Advanced Data Mastering deployment.  Advanced Data Mastering differentiates from MDM by its fast value realization, transparency, flexibility and sustainability.  The Advanced Data Mastering generates business value from day one, its value improves over time, its cost is flat or decreasing with increased data volumes.  The total cost of an Advanced Data Mastering solution is a fraction of a typical MDM solution.

In other words, Advanced Data Mastering is a more efficient and cost-effective way to make data ready for use. It can be implemented quickly, and it provides immediate value to businesses, unlocking meaningful insights.

Advanced Data Mastering and Master Data Management (MDM) differences

The main differences between these two solutions are when the data is mastered, how much data needs to be mastered, and the ability to adapt to natural (business) changes.

MDM manages data at the point of creation, which means that it requires all data to be included and made “permanently perfect” from the start. It usually fails to keep up with changes of meaning over time.

Advanced Data Mastering ensures the accuracy and consistency of data at the point of use. It does this by identifying and managing only the data that is relevant to the business, and adapting to natural changes and ongoing corrections to the data.

The amount of data processed through Advanced Data Mastering is typically a fraction of the amount of data processed by MDM.   Advanced Data Mastering allows for flexible corrections and adjustments, adapting to current business meaning.

Universal Exposure of Mastered Data

Making the mastered data universally exposed and easily consumable is a critical element of well functioning Advanced Data Mastering.  Universally exposed data accelerates adoption, dramatically increasing the ROI.