Stibo Systems - The Master Data Management Company
Stibo Systems - The Master Data Management Company

A Data Monetization Strategy - Get More Value from Your Master Data

 |
October 11 2021
| 5 minute read

To make money from data requires insightful data.

Data monetization is generally understood as the “process of using data to obtain quantifiable economic benefit” (Gartner Glossary, Data Monetization). Three typical ways to achieve this, include:

  • Using data to make better decisions and thus enhance your business performance
  • Sharing data with business partners for mutual benefit
  • Selling data as a product or service

Whichever way you choose, data monetization gets more profitable if you can provide context to the data and make it insightful. The more insight your data provides, the more valuable it is. Take as an example a person about whom you know the job title. That is basic master data. Adding to that information the insight that the person has recently changed jobs, can open new business opportunities or guide your marketing efforts to be more targeted. Perhaps the job change entails a salary increase, a change of location, new business connections, etc.

In this article, you will find some data monetization examples and use cases and learn how master data management, specifically multidomain master data management can help provide data insight.

In short, master data management (MDM) can help build insights by adding context to information and creating 360° views of customers and businesses. Multidomain MDM is characterized by common governance of different data domains, thus revealing enhanced insights at the intersections of those domains.

 

Data monetization - increase the value of master data

Everybody is monetizing data.

Data monetization is not a new idea. But the growing number of data marketplaces and exchanges is making it easier to achieve.

According to Gartner: By 2022, 35% of large organizations will be either sellers or buyers of data via formal online data marketplaces.

 

Economists like data. It is a non-depleting asset, in other words, you can sell or use it as many times as you like and it never runs out. Unlike oil.

Infonomics is the discipline that adds an economic (i.e., monetary) value to data. And a revolution is taking place within many industries to collect and analyze more data, to make more money on existing monetization initiatives and create new revenue models.

By 2022, 30% of leading organizations will formally adopt infonomics practices and value their information assets, maintaining a balance sheet for internal purposes.

Gartner, Build a Data-Driven Enterprise, 2018

 

Your data has value. Learn how to increase it.

Some estimates put an individual’s basic demographic information (location, age, gender, etc.) at about $0.0005 per person. That’s $1 for every 2000 individuals. Not much. But adding to that basic information new layers of data that describe what that person has bought or what they are currently interested in buying could increase value. As does the ability to discern if the individual is an influencer or has a good credit rating.

Beyond the type of data, its overall value is significantly impacted by its veracity, coherence, insightfulness, legality, adherence to ethics and availability. This is where multidomain MDM becomes a key success factor as part of any monetization program. Multidomain MDM helps to ensure that business critical data can be safely, and lucratively shared.

 

Data monetization companies.

Hundreds of companies that you may or may not have heard of are in the pure, data-collection and monetization business. Experian, Equifax, Acxiom and WPP for example, provide data services for marketing and risk management. Other companies have data monetization as part of their business, such as Google, telecom network providers and retailers.


Examples of data monetization

In retail: Retailers use their loyalty programs to know what you buy in their stores so that the data may be shared with supplier partners for developing more effective merchandising strategies.


In banking: Banks can infer what you buy and know from where you buy it, making their data highly valuable for industry analytics and marketing specialists.


In manufacturing: Manufacturing creates a large amount of data that can be better leveraged to improve business efficiency, but also has the potential to be transformed into data products such as R&D information, customer service and support data as well as supply chain maintenance information.

Some companies have driven new business models from their data. Allstate insurance has a subsidiary called Aris that is sharing vehicle telematics information to advertising companies and other types of businesses looking to implement new types of business models based on location data.

 

What types and sources of data can be monetized?

Some data sources are obvious targets, such as those representing current customers and their transaction trends. Value also abounds in historical information and dark data sources. These sources might not be actively used to run the business on a day-to-day basis, but they might find a new lease of life in monetization efforts. Consider historical records of insurance claims being shared with partners who have AI engines looking for patterns from which it can learn to automate underwriting, predict future trends, or even identify new business opportunities.

Guarantees of accuracy can increase data value.

Certainly, the type of data being shared or sold will have inherent value. But its accuracy, timeliness, coherence, richness and insightfulness will also play an important role in determining this value. For example, First American’s property data description (access to which is commercialized) adds, “…our data is different because we have enhanced data collection and … validation through multiple sources”.


Sharing data with your partners and suppliers can be mutually beneficial.

Many companies collect customer information internally in order to understand how and when to propose more relevant products and services to their customers. However, sharing this data externally, with suppliers and business partners, can be mutually beneficial.

The retailer Kroger provides CPG companies with data about their customers so that they can target them on Kroger's website. Collaborating in a two-way data sharing initiative could help support improvements in merchandising and demand planning. For example, consider a retailer who learns from their supplier that sales of product A increase when it is placed in proximity to product B.


Financial services companies already share transactional data, albeit, predominantly anonymized and aggregated. In other words, they are not allowed to share your personal data. The customer data they do share typically reflects trends from a wider customer segment. Australian bank Westpac, for example, has a portal that gives its business partners access to its aggregated customer data. In the future, banks might make money more directly from your personal data. For example, they could get commissions from merchants if they promote their products and services rather than just taking the standard merchant service charge.

 

Data value increase: The more specific information is to an individual and the more context it can get, the more valuable it becomes.

Data Monetization: data value increases with more specific information

Whatever the industry, opportunities abound for those who want to monetize or collaborate with their most valuable data.

 

How does Multidomain MDM increase the value and security of your data?

1. Increasing value of data

Good data is more valuable than bad data. By being able to describe a process by which you have ensured your data is accurate and coherent (even when anonymized), you increase the value of the data itself.

Multidomain data is insightful. Producing data that not only describes single-dimensional viewpoints, but joins data domains together and describes their inter-connectivity (also referred to as zones of insight), provides additional value. This is especially important when using a Multidomain MDM solution, that can demonstrate governance processes which ensure this data is being well-behaved and managed.

 

2. Safeguarding brand reputation

Governed data is fit for purpose. Multidomain MDM enables you to demonstrate that the business has managed a process by which key business facts (master data in particular) are ethically administered.

Unified data is secure. By having a centralized point of governance to safeguard the data source, those who collaborate on the data production and stewardship can include legal and ethical controls. This minimizes the risk of the data being misused or becoming a threat to your brand.

Consent and privacy are managed. Multidomain MDM allows any form of consent and privacy related to a data sharing initiative to be recorded alongside the data and processes to which it is associated. Multidomain MDM is especially relevant to support the layers of complexity that may arise from managing consent for data describing specific inter-domain relationships, such as sharing purchase history against certain categories of products.

 

3. Managing the economic value of data

Defining and monitoring KPIs for economic value. Multidomain MDM can help establish the link between master data sets and the indicators by which their data policy standards must perform (for example, quality, timeliness, completeness, etc.) in order to maintain master data at target economic values.

Organizing data for target revenue streams. Multidomain MDM manages a structured process by which data may be organized and vetted for suitability and compliance prior to sharing with customers and business partners.

Supporting the MDM project’s ROI. Multidomain MDM can provide metrics on data performance that will support a balance sheet.

 

Enhance data monetization with valuable data.

Treating information as a corporate asset means attaching an economic value to it. Whereas all data has some intrinsic value, the value of data held within a multidomain master data management solution can often be quantified.

Whether you intend to sell your data, share it with business partners for mutual benefit, or extract its value to enhance your own offerings or operations, the ability to demonstrate governance over its transparency enhances its worth.

 

learn more about multidomain mdm

 


Master Data Management Blog by Stibo Systems logo

During the past 20 years, Darren has been advising companies on selecting and implementing software tools that support their data governance strategy. As Director of Industry Strategy, Darren helps business leaders understand and quantify the positive impact that good data governance and, in particular, master data management, can have on their organization.



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