A Brief History of Master Data - DATAVERSITY (2024)

A Brief History of Master Data - DATAVERSITY (1)

Master data is generally described as essential business data about people, places, and things. Master Data Management or MDM describes a system for managing the data, which is different than the actual data. Master data is not typically transactional data, but in some situations transactional data can be treated as master data. For instance, if information about products, suppliers, and vendors is contained only within the transactional data (orders and receipts), then this must be used as master data.

But, before master data and transactionaldata, there was the datum. And to understand that history, we must go backwardsin time.

A Brief History of Master Data - DATAVERSITY (2)

In the 1640s, a datum was a fact that was assumed to be true, whether it was from the Bible or a scientific study. A datum, the singular version of data, was often a fact used as a foundation for calculating mathematical problems. The word data gained significant popularity in 1939, after Willard Cope Brinton published a book titled, Graphic Presentation. Throughout his book, the term “data” was used to describe structured measurements taken from scientific observations or statistical results.

In 1946, the word data had itsdefinition expanded when it was used to describe “information that can betransmitted and stored using a computer.” In 1954, the phrase “data processing”came into being, followed by “database” (the structured storage of data in acomputer) in 1962. This expanded definition and new uses for the word “data”would not have been possible without the punch card.

In 1890, Herman Hollerith designed a punch card system with the goal of calculating the 1880 census. He accomplished this goal in three years and saved the U.S. government $5 million. (Hollerith later founded the company that became IBM.) All data at this time, including what would come to be called master data, was stored on punch cards. The situation became more challenging as the U.S. population grew and changes to the questions needed to be made. To deal with this, Hollerith chose to classify data as static or changing. This established the basic master data versus transaction data classification system. As computers progressed, they moved from punch cards onto magnetic tape, and then to disk-based storage.

Master Files

In 1898, Edwin G. Seibelsinvented the “lateral file” – currently called a filing cabinet. Prior to thelateral file, businesses had traditionally folded papers, contracts, anddocuments, placing them in envelopes and then storing them in pigeon-holedrawers or flat drawer filing systems. (Before that, they would bundle importantdocuments and store them in a wooden box.) Seibels’ invention eliminated thewasted time of finding and opening envelopes and made folding the papersunnecessary.

Filing cabinets led to filing systems, which in turn led to a master file. Information in the master file contained descriptive information, such as customer names, addresses, habitual preferences, and billing information. In many cases, the master file became a large accordion folder with smaller folders inside – lots of information which could be removed from the filing cabinet easily and taken to a desk to be researched. In 1936, the Social Security Administration created a “Death” master file with the appropriate names and addresses. This file was eventually transferred to a computer system and can be accessed today (though identity theft issues have resulted in limited access).

In the 1950s and 60s, very fewbusinesses had computers, and master data contained what was – and still is – called“contact information,” which was typically copied by hand to the Master Filefrom an address book, or vice versa. Early nonhuman computers (prior toelectronic computers, human mathematicians were called computers) were usedprimarily for mathematics. Contact information was typically stored in rolodexes and address books – the now seemingly ancient predecessors of thesmart phone.

The concept of master files was transferred to some corporate computers as early as the 1960s and gained popularity during the 1970s and 80s when computers became more abundant. Master files contain essentially the same descriptive data – such as names, addresses, and basic summary information – as master data. Master files continue to be used as a part of some system databases and were a precursor to master data.

Master Data

Data Management started as a concept in the 1960s with the Association of Data Processing Service Organizations, or ADAPSO, forwarding advice on Data Management with a focus on quality assurance and professional training. Master data developed as a result of Data Management programs which arose in the 1980s and quickly came to include Master Data Management (MDM).

Master data can be described as an organization’s core data, containing the basic information needed to conduct business. It is fairly stable information, changing only when something dramatic happens, such as a client moving to a new location. Although master data may describe transactions, it is not transactional in design. Master data generally covers four domains, and subdivisions within those domains are known as subdomains, entity types, or subject areas. The four general domains of master data are:

  • Customers: Subdomains include customers, employees, and salespeople.
  • Products: Subdomains include parts, stores, and assets.
  • Locations: Subdomains include office location and geographic divisions.
  • Other: Subdomains include things like warranties, licenses, and contracts.

Some subdomains may be furtherdivided. For instance, customers can be further divided based onclassifications such as “normal” customers and “executive customers,” or by wayof their history. Products can be divided up by sector and industry. Geographicareas can be further broken down into sales territories or by the concentrationof customers.

Useful analytics and researchdepend on the accuracy of the master data. Master data can be stored using acentral repository, sourced from single or multiple systems, or referencedcentrally through an index. However, when it is being used by several groups, masterdata can be distributed and stored redundantly in a variety of applicationsacross an organization. This copied data may be inconsistent (or inaccurate). Toremedy this, master data should use an agreed upon view which is shared acrossan organization. Care should be used to assure an accurate version of master datais filed appropriately. Curating and managing accurate master data is necessaryfor minimizing chaos and maximizing efficiency.

In a transaction system, master data is commonly used with transactional data. When a customer purchases a product or a crate of materials is delivered, master data is used. A product with a specific location would use master data to describe its placement and location within the store. The relationship between transactional data and master data can be seen as a noun/verb relationship. Master data captures nouns, such as “1103 Harbor Street” or “Phil’s Auto Shop,” while transactional data captures words, such as “deliver,” “purchase,” or “sell.” Data warehouses often separate data using this tactic.

It is common for Data Managementprograms to utilize a master data file, which has come to be called Master DataManagement (MDM). Use of an MDM offers a common definition for the entire organizationwith the goal of eliminating competing or ambiguous data policies and providingan organization with uniform, accurate data.

Master Data Management

Master Data Management came into use in the 1990s, in part, as a solution for an overwhelming amount of disjointed data coming in. The increasing use of data across different business lines also coincided with the enforcement of new regulatory measures, such as the Sarbanes-Oxley Act of 2002 (a federal law establishing financial and auditing regulations for public companies) and the Solvency II Directive (a directive from the EU that integrates and harmonizes EU insurance regulations). Prompted by the need for new organizational programs and the new laws, organizations quickly adopted MDM technologies.

MDM is a way of providing an organization with a link to all of its essential data in one file, referred to as a master file or master data file, which provides a common reference platform. When done properly, Master Data Management can streamline data sharing between personnel and departments.

A common example of a poorly organized Master Data Management system is a website which sells a customer a product and then harasses the customer with focused advertisem*nts of the same product which they no longer need, having just purchased it. This takes place because the customer’s information, which was used by the sales department of the website, lacks integration with the customer information being used by the advertising department. The advertising department (or subcontractor) is completely unaware the sale has already been made, and as a consequence, is wasting everyone’s time. Record linkage, a process used to associate records from different sources and refer to the same person, or entity, would be useful in this situation.

Image used under license from Shutterstock.com

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A Brief History of Master Data - DATAVERSITY (2024)

FAQs

A Brief History of Master Data - DATAVERSITY? ›

Master data developed as a result of Data Management programs which arose in the 1980s and quickly came to include Master Data Management

Master Data Management
Master data management (MDM) is a discipline in which business and information technology work together to ensure the uniformity, accuracy, stewardship, semantic consistency and accountability of the enterprise's official shared master data assets.
https://en.wikipedia.org › wiki › Master_data_management
(MDM). Master data can be described as an organization's core data, containing the basic information needed to conduct business.

What is master data management dataversity? ›

Master data management (MDM) deals with managing data that is relatively stable and critical to the business's operations. The concept of master data and its management came about in the late 1990s, as a way to deal with the large amounts of “disjointed data” being taken in.

What are the 3 types of master data? ›

Think of them as the pillars supporting the business structure and guiding its strategies. Among these, three specific MDM types – customer data, product data, and financial data – are fundamental.

What is the history of data management? ›

Data Management, as a concept, began in the 1960s, with ADAPSO (the Association of Data Processing Service Organizations) forwarding Data Management advice, with an emphasis on professional training and quality assurance metrics. Data management has evolved significantly over the last six decades.

What is master data management summary? ›

Master data management includes the tools and processes an organization uses to establish a single source of truth for all its critical data. Through master data management, an organization can disseminate consistent and accurate master data across its entire enterprise.

What are the five core functions of master data management? ›

Most centralized MDM programs and the platforms that succeed in this pursuit will demonstrate some or all of the following elements:
  • Extends Existing Data Governance Program and Tools.
  • Cleansing and Correction of Erroneous Data.
  • Data Quality Monitoring and Reporting.
  • Business Taxonomy and Hierarchy Management.
Jun 7, 2018

What are the three components of master data management? ›

Master Data Management (MDM) rests on three primary pillars: customer data, product data, and financial data. Each of these components plays a unique role within the MDM framework and provides insights that are essential for your business operations.

What is the history of master data? ›

Master data developed as a result of Data Management programs which arose in the 1980s and quickly came to include Master Data Management (MDM). Master data can be described as an organization's core data, containing the basic information needed to conduct business.

What is master data in simple words? ›

Master data is the consistent and uniform set of identifiers and extended attributes that describes the core entities of the enterprise including customers, prospects, citizens, suppliers, sites, hierarchies and chart of accounts.

What is master data in simple terms? ›

Master data is the core data that is absolutely essential for running operations within a business enterprise or unit.

What is the purpose of master data management? ›

"The purpose of master data management is to consolidate your data from multiple sources in one central place and be able to cleanse and enrich and get to the ultimate golden value. For each particular entity that you're mastering it is typical to master your data by entity.

Who is the father of data management? ›

Edgar Frank "Ted" Codd (19 August 1923 – 18 April 2003) was an English computer scientist who, while working for IBM, invented the relational model for database management, the theoretical basis for relational databases and relational database management systems.

What is the history of data? ›

The history of data can be traced back to the ancient world. Evidence of early data collection dates back to the earliest known human civilizations. For example, ancient Sumerians, who lived in what is now modern-day Iraq, kept written records of harvests and taxes on clay tablets over 5,000 years ago [1].

Who needs master data management? ›

MDM is especially critical in today's digital age when data is scattered throughout the organization in multiple formats, locations, and quality standards. By consolidating and managing this data, MDM enables organizations to effectively and efficiently leverage their enterprise data as a strategic asset.

Who owns master data? ›

Data owner: The data owner has the ultimate responsibility for master data. They oversee the business rules and ensure that everyone is following them.

What are the key components of master data? ›

There are three main areas of focus to any MDM framework:
  • Data Quality – Knowing you can trust the data is paramount. ...
  • Data Integration – The second important element (depending on the hub architecture) is taking the improved quality of data and integrating it back into the systems that rely upon it.

What is the difference between metadata and master data management? ›

In summary, master data management is focused on the management, governance and quality of the actual data, whereas metadata management is focused on the management, governance and organization of the data's context, lineage and description.

What is the difference between master data management and data warehouse? ›

Remember, while data warehouses are well suited to report high volumes of transaction data, master data management solutions cannot process transactional data, aggregate data, or BI applications. However, the ideal approach is to set up an MDM solution and then build the data warehouse.

What is master data in data analytics? ›

Master data is the core data that is absolutely essential for running operations within a business enterprise or unit. It is data about key business entities that provides context for business transactions and operations. Data designated as master data can vary by and within industries.

What is master data management vs data warehouse? ›

“The motivation for MDM,” Evan Levy explained, “is to provide access to a subject area master record along with the details of the contributing sources.” Unlike a data warehouse, which provides a central repository of enterprise data (and not just master data), MDM provides a single centralized location for metadata ...

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