Stibo Systems - The Master Data Management Company

What is Cloud Master Data Management?

Master Data Management Blog by Stibo Systems logo
| 7 minute read
February 08 2022

In today's rapidly changing business environment, organizations are collecting and generating vast amounts of data from multiple sources. This data can be of different formats, structures and quality, making it challenging to manage effectively. Cloud master data management is a solution that helps organizations tackle these data management challenges by providing a centralized platform for managing, integrating and maintaining their data assets.

In this blog post, we will explore what cloud master data management is, how it works and why it is essential for businesses looking to improve their data management capabilities. We will also discuss some of the key benefits of cloud master data management and how it can help organizations improve their overall business performance.

Cloud Master Data Management

 

What is cloud master data management?

Cloud master data management (MDM) is a modern approach to managing and maintaining an organization's data assets. It involves using cloud-based solutions to store, integrate, and manage data from different sources across the organization. Cloud master data management is designed to provide a centralized platform for managing data, enabling organizations to achieve greater consistency, accuracy and completeness of their data.

 

What are the key features and functionalities of cloud master data management?

Cloud master data management solutions offer a range of key features and functionalities, which can include:

  • Data integration: Cloud MDM solutions can integrate data from different sources, including internal and external data sources, into a centralized platform.

  • Data cleansing: Cloud MDM solutions can identify and correct errors or inconsistencies in data, ensuring data accuracy and completeness.

  • Data governance: Cloud MDM solutions provide a framework for managing data and ensuring compliance with regulations and policies.

  • Data quality management: Cloud MDM solutions provide tools and workflows for managing data quality, ensuring that data is consistent, accurate and up-to-date.

  • Data analytics: Cloud MDM solutions can provide insights and analytics on the data, allowing organizations to make informed decisions based on data-driven insights.

  • Workflow management: Cloud MDM solutions provide tools and workflows for managing the process of data management, ensuring that tasks are completed efficiently and effectively.

  • Collaboration and integration: Cloud MDM solutions enable collaboration and integration across departments, ensuring that data is shared and used effectively across the organization.

  • Security: Cloud MDM solutions offer advanced security features, such as data encryption, firewalls and user authentication, to protect sensitive data from cyber threats.

Overall, cloud master data management solutions provide a range of key features and functionalities, enabling organizations to manage and maintain their data assets effectively and efficiently. 

 

 

How does cloud master data management differ from traditional on-premise master data management?

Cloud master data management differs from traditional on-premise master data management solutions in several ways.

Firstly, cloud-based master data management solutions are accessed through the internet, which means that users can access their data from anywhere with an internet connection. In contrast, on-premise master data management solutions require users to access data from a physical location such as an office.

Secondly, cloud-based master data management solutions are typically more scalable than on-premise solutions. Cloud solutions can handle large volumes of data without the need for additional hardware, whereas on-premise solutions require organizations to maintain their own hardware infrastructure.

Thirdly, cloud-based master data management solutions are typically more cost-effective than on-premise solutions. Organizations using cloud-based solutions do not need to invest in hardware infrastructure or employ IT staff to maintain it, resulting in lower overall costs.

Fourthly, cloud-based master data management solutions offer greater flexibility than on-premise solutions. Cloud solutions can be customized and configured to meet the specific needs of an organization and can be easily scaled up or down as needed.

Finally, cloud-based master data management solutions provide greater collaboration and integration across departments. With a centralized platform for managing data, organizations can ensure that their data is consistent, accurate and up-to-date, and can provide access to the data across departments to improve business operations and decision-making.

 

What are the specific advantages of using a cloud-based master data management solution?

There are several advantages of using a cloud-based master data management solution:

  • Faster deployment: Cloud MDM solutions can be deployed faster than on-premise solutions because they do not require the installation and configuration of hardware and software on-premise. With cloud MDM solutions, organizations can start managing their data almost immediately after signing up.

  • Flexibility: Users can access data from anywhere with an internet connection, providing greater flexibility and agility in managing data.

  • Improved collaboration: Cloud MDM solutions provide a centralized platform for managing data, enabling greater collaboration and integration across departments. With a centralized platform, users can access and share data in real-time, leading to more informed decision-making and improved business operations.

  • Scalability: Cloud MDM solutions are designed to handle large volumes of data and users, making them more scalable than on-premise solutions. This means that organizations can easily add or remove users, and expand or reduce their data storage capacity as needed.

  • Cost savings: Cloud MDM solutions reduce the need for organizations to maintain their own hardware and software infrastructure, as these are provided by the cloud service provider. This reduces the costs associated with maintaining and updating hardware and software, as well as the need for IT staff to manage the infrastructure.

  • Improved security: Cloud MDM solutions offer advanced security features, such as data encryption, firewalls, and user authentication, to protect sensitive data from cyber threats. Cloud providers typically have more robust security protocols in place than most organizations, which helps to ensure the security and privacy of sensitive data.

Overall, cloud-based master data management solutions offer several advantages over on-premise solutions, including faster deployment, flexibility, improved collaboration, scalability, cost savings and improved security. These benefits make cloud-based master data management solutions an attractive option for organizations looking to manage and maintain their data assets effectively and efficiently.

 

Security and compliance considerations for cloud master data management

When it comes to cloud master data management, security and compliance are critical considerations. Here are some of the key security and compliance considerations for cloud master data management:

  • Data privacy: Cloud MDM solutions may store sensitive data, such as customer or financial data. As such, it is important to ensure that the data is stored securely and in compliance with data privacy regulations such as GDPR or CCPA. Cloud MDM solutions typically have built-in security features such as encryption and data masking to help protect sensitive data.

  • Access control: It is important to ensure that only authorized users have access to sensitive data. Cloud MDM solutions typically provide granular access control mechanisms, allowing administrators to set permissions at the individual user or group level. This helps to ensure that sensitive data is only accessed by those who need it.

  • Regulatory compliance: Depending on the industry or location of the organization, there may be specific regulatory requirements that must be adhered to. Cloud MDM solutions should provide compliance with relevant regulations.

  • Data residency: Some organizations may be required to store data within a specific geographic region due to regulatory or legal requirements. Cloud MDM solutions should allow organizations to choose the location where their data is stored, ensuring compliance with data residency regulations.

  • Data backup and recovery: Data backup and recovery is an essential aspect of any MDM solution. Cloud MDM solutions typically offer robust backup and recovery features, ensuring that data is protected from loss due to hardware or software failure, natural disasters or other unforeseen events.

  • Vendor security: Cloud MDM solutions rely on third-party cloud service providers. It is important to ensure that the service provider has robust security measures in place to protect against data breaches or cyber-attacks. It is also important to review the service provider's security and compliance certifications to ensure that they meet industry standards.

In summary, security and compliance considerations are critical when selecting a cloud master data management solution. It is important to ensure that the chosen solution has robust security features in place to protect sensitive data, provides compliance with relevant regulations and has a secure and reliable cloud service provider. By carefully considering these factors, organizations can ensure that their data is protected while reaping the benefits of cloud-based master data management solutions.

 

 

How to choose the right cloud master data management solution?

Choosing the right cloud master data management solution is an important decision that can impact the success of your organization's data management initiatives. Here are some factors to consider when selecting a cloud-based master data management solution:

  • Scalability: Ensure that the cloud MDM solution can scale to meet the growing needs of your organization. This includes the ability to handle increasing data volumes, support for new data types and the ability to integrate with other systems as needed.

  • Security: Data security should be a top priority when selecting a cloud MDM solution. Make sure the solution provides robust security features such as data encryption, access control and data backup and recovery.

  • Compliance: Depending on your industry and geographic location, there may be specific regulations and compliance requirements that you need to consider when selecting a cloud MDM solution. Make sure the solution complies with all relevant regulations and provides features to help you maintain compliance.

  • Flexibility: A cloud MDM solution should be flexible enough to meet the unique needs of your organization. Make sure the solution allows you to configure workflows and processes to match your specific requirements.

  • Integration: Integration with other systems is critical to the success of a cloud MDM solution. Ensure that the solution provides robust integration capabilities and supports the data formats and protocols used by other systems in your organization.

  • Ease of use: A cloud MDM solution should be easy to use and accessible to all stakeholders in your organization. Make sure the solution provides a user-friendly interface and supports collaboration and communication across teams.

  • Vendor reputation and support: Choose a reputable vendor with a proven track record of delivering high-quality MDM solutions. Make sure the vendor provides comprehensive support, including training, maintenance and ongoing updates.

By considering these factors when selecting a cloud master data management solution, you can ensure that the solution meets your organization's needs and provides the necessary features and functionality to manage your data effectively.

 

Best practices for implementing cloud master data management solutions

Implementing a cloud-based master data management solution can be a complex undertaking. Here are some best practices to help ensure a successful implementation:

1. Define clear objectives and requirements

Before selecting a cloud master data management solution, it is important to define clear objectives and requirements for the project. This should include a detailed analysis of the data management needs of the organization as well as an assessment of the potential benefits and risks of cloud master data management.

2. Choose the right cloud master data management solution

Select a cloud master data management solution that meets the specific needs and requirements of the organization. It is important to consider factors such as scalability, security, compliance and ease of use when selecting a solution.

3. Develop a comprehensive implementation plan

A detailed implementation plan can help ensure that the project stays on track and is completed within the expected timeline and budget. The plan should include tasks, timelines and responsibilities for each phase of the project as well as risk mitigation strategies.

4. Ensure data quality and consistency

The success of a cloud master data management solution depends on the quality and consistency of the data being managed. It is important to establish data quality standards and processes to ensure that the data is accurate, complete and consistent across all systems and applications.

5. Provide adequate training and support

Adequate training and support are critical to the success of a cloud master data management implementation. It is important to provide comprehensive training to all users of the system as well as ongoing support and maintenance to ensure that the system continues to meet the needs of the organization.

6. Monitor and measure success

Regular monitoring and measurement of key performance indicators (KPIs) can help organizations track the success of their cloud master data management implementation. This should include metrics such as data quality, user adoption and ROI.

By following these best practices, organizations can increase the likelihood of a successful cloud master data management implementation. By selecting the right solution, developing a comprehensive implementation plan, ensuring data quality and consistency, providing adequate training and support and monitoring and measuring success, organizations can realize the many benefits of cloud-based master data management.


Master Data Management Blog by Stibo Systems logo

Driving growth for customers with trusted, rich, complete, curated data, Matt has over 20 years of experience in enterprise software with the world’s leading data management companies and is a qualified marketer within pragmatic product marketing. He is a highly experienced professional in customer information management, enterprise data quality, multidomain master data management and data governance & compliance.

Discover Blogs by Topic

  • MDM strategy
  • Customer and party data
  • Retail and distribution
  • See more
  • Data governance
  • Manufacturing
  • Supplier data
  • Data quality
  • Product data and PIM
  • AI and machine learning
  • CPG
  • Financial services
  • GDPR
  • Sustainability
  • Location data
  • PDX Syndication

Data Governance Trends 2024

1/30/24

NRF 2024 Recap: In the AI era, better data can make all the difference

1/19/24

Building Supply Chain Resilience: Strategies & Examples

12/19/23

How Master Data Management Can Enhance Your ERP Solution

12/14/23

Shedding Light on Climate Accountability and Traceability in Retail

11/29/23

What is Smart Manufacturing and Why Does it Matter?

10/11/23

Future Proof Your Retail Business with Composable Commerce

10/9/23

5 Common Reasons Why Manufacturers Fail at Digital Transformation

10/5/23

How to Digitally Transform a Restaurant Chain

9/29/23

Three Benefits of Moving to Headless Commerce and the Role of a Modern PIM

9/14/23

12 Steps to a Successful Omnichannel and Unified Commerce

7/6/23

CGF Global Summit 2023: Unlock Sustainable Growth With Collaboration and Innovation

7/5/23

Navigating the Current Challenges of Supply Chain Management

6/28/23

Responsible AI relies on data governance

5/11/23

Product Data Management during Mergers and Acquisitions

4/6/23

Master Data Management Definitions: The Complete A-Z of MDM

3/14/23

4 Ways to Reduce Ecommerce Returns

3/8/23

Asset Data Governance is Central for Asset Management

3/1/23

Digital Product Passports

2/24/23

4 Common Master Data Management Implementation Styles

2/21/23

How to Leverage Internet of Things with Master Data Management

2/14/23

Manufacturing Trends and Insights in 2023-2025

2/14/23

Sustainability in Retail Needs Governed Data

2/13/23

What is Augmented Data Management?

2/9/23

NRF 2023: Retail Turns to AI and Automation to Increase Efficiencies

1/20/23

What is the difference between CPG and FMCG?

1/18/23

8 Best Practices for Customer Master Data Management

1/16/23

5 Key Manufacturing Challenges in 2023

1/16/23

What is a Golden Customer Record in Master Data Management?

1/9/23

The Future of Master Data Management: Trends in 2023-2025

1/8/23

Innovation in Retail

1/4/23

5 CPG Industry Trends and Opportunities for 2023-2025

12/5/22

Life Cycle Assessment Scoring for Food Products

11/21/22

Retail of the Future

11/14/22

Omnichannel Strategies for Retail

11/7/22

Hyper-Personalized Customer Experiences Need Multidomain MDM

11/5/22

What is Omnichannel Retailing and What is the Role of Data Management?

10/25/22

Most Common ISO Standards in the Manufacturing Industry

10/18/22

How to Get Started with Master Data Management: 5 Steps to Consider

10/17/22

What is Supply Chain Analytics and Why It's Important

10/12/22

What is Data Quality and Why It's Important

10/12/22

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

10/11/22

What Is Master Data Governance – And Why You Need It?

10/7/22

An Introductory Guide: What is Data Intelligence?

10/1/22

Revolutionizing Manufacturing: 5 Must-Have SaaS Systems for Success

9/15/22

An Introductory Guide to Supplier Compliance

9/7/22

What is Application Data Management and How Does It Differ From MDM?

8/29/22

Digital Transformation in the Manufacturing Industry

8/25/22

Master Data Management Framework: Get Set for Success

8/17/22

Discover the Value of Your Data: Master Data Management KPIs & Metrics

8/15/22

Master Data Management Roles and Responsibilities

7/17/22

Supplier Self-Service: Everything You Need to Know

6/15/22

Omnichannel vs. Multichannel: What’s the Difference?

6/14/22

Digital Transformation in the CPG Industry

6/14/22

Create a Culture of Data Transparency - Begin with a Solid Foundation

6/10/22

The 5 Biggest Retail Trends for 2023-2025

5/31/22

What is a Location Intelligence?

5/31/22

Omnichannel Customer Experience: The Ultimate Guide

5/30/22

Location Analytics – All You Need to Know

5/26/22

Omnichannel Commerce: Creating a Seamless Shopping Experience

5/24/22

Top 4 Data Management Trends in the Insurance Industry

5/11/22

What is Supply Chain Visibility and Why It's Important

5/1/22

6 Features of an Effective Master Data Management Solution

4/30/22

What is Digital Asset Management?

4/23/22

The Ultimate Guide to Data Transparency

4/21/22

How Manufacturers Can Shift to Product-as-a-Service Offerings

4/20/22

How to Check Your Enterprise Data Foundation

4/16/22

An Introductory Guide to Manufacturing Compliance

4/14/22

Multidomain MDM vs. Multiple Domain MDM

3/31/22

Making Master Data Accessible: What is Data as a Service (DaaS)?

3/29/22

How to Build a Successful Data Governance Strategy

3/23/22

What is Unified Commerce? Key Advantages & Best Practices

3/22/22

How to Choose the Right Data Quality Tool?

3/22/22

What is a Data Domain?

3/21/22

6 Best Practices for Data Governance

3/17/22

5 Advantages of a Master Data Management System

3/16/22

A Unified Customer View: What Is It and Why You Need It

3/9/22

Supply Chain Challenges in the CPG Industry

2/24/22

Data Migration to SAP S/4HANA ERP - The Fast and Safe Approach with MDM

2/17/22

The Best Data Governance Tools You Need to Know About

2/17/22

Top 5 Most Common Data Quality Issues

2/14/22

What Is Synthetic Data and Why It Needs Master Data Management

2/10/22

What is Cloud Master Data Management?

2/8/22

How to Implement Data Governance

2/7/22

Build vs. Buy Master Data Management Software

1/28/22

Why is Data Governance Important?

1/27/22

Five Reasons Your Data Governance Initiative Could Fail

1/24/22

How to Turn Your Data Silos Into Zones of Insight

1/21/22

How to Improve Supplier Experience Management

1/16/22

​​How to Improve Supplier Onboarding

1/16/22

How to Enable a Single Source of Truth with Master Data Management

1/13/22

What is a Data Quality Framework?

1/11/22

How to Measure the ROI of Master Data Management

1/11/22

What is Manufacturing-as-a-Service (MaaS)?

1/7/22

The Ultimate Guide to Building a Data Governance Framework

1/4/22

Introducing the Master Data Management Maturity Model

1/3/22

Master Data Management Tools - and Why You Need Them

12/20/21

The Dynamic Duo of Data Security and Data Governance

12/20/21

How to Choose the Right Supplier Management Solution

12/20/21

How Data Transparency Enables Sustainable Retailing

12/6/21

What is Supplier Performance Management?

12/1/21

What is Party Data? All You Need to Know About Party Data Management

11/28/21

What is Data Compliance? An Introductory Guide

11/18/21

How to Create a Marketing Center of Excellence

11/14/21

The Complete Guide: How to Get a 360° Customer View

11/7/21

What is the Difference Between Master Data and Metadata?

11/1/21

How Location Data Adds Value to Master Data Projects

10/29/21

How Marketers Should Prepare for the 2023 Holiday Shopping Season

10/26/21

What is Supplier Lifecycle Management?

10/19/21

What is a Data Mesh? A Simple Introduction

10/15/21

How to Build a Master Data Management Strategy

9/26/21

10 Signs You Need a Master Data Management Platform

9/2/21

What Vendor Data Is and Why It Matters to Manufacturers

8/31/21

3 Reasons High-Quality Supplier Data Can Benefit Any Organization

8/25/21

4 Trends in the Automotive Industry

8/11/21

What is Reference Data and Reference Data Management?

8/9/21

What Obstacles Are Impacting the Global Retail Recovery?

8/2/21

GDPR as a Catalyst for Effective Data Governance

7/25/21

All You Need to Know About Supplier Information Management

7/21/21

5 Tips for Driving a Centralized Data Management Strategy

7/3/21

Data Governance and Data Protection, a Match Made in Heaven?

6/29/21

Welcome to the Decade of Transparency

5/26/21

How to Become a Customer-Obsessed Brand

5/12/21

How to Create a Master Data Management Roadmap in Five Steps

4/27/21

What is a Data Catalog? Definition and Benefits

4/13/21

How to Improve the Retail Customer Experience with Data Management

4/8/21

How to Improve Your Data Management

3/31/21

How to Choose the Right Master Data Management Solution

3/29/21

Business Intelligence and Analytics: What's the Difference?

3/25/21

Spending too much on Big Data? Try Small Data and MDM

3/24/21

What is a Data Lake? Everything You Need to Know

3/21/21

How to Extract More Value from Your Data

3/17/21

Are you making decisions based on bad HCO/HCP information?

2/24/21

Why Master Data Cleansing is Important to CPG Brands

1/20/21

CRM 2.0 – It All Starts With Master Data Management

12/19/20

5 Trends in Telecom that Rely on Transparency of Master Data

12/15/20

10 Data Management Trends in Financial Services

11/19/20

Seasonal Marketing Campaigns: What Is It and Why Is It Important?

11/8/20

What Is a Data Fabric and Why Do You Need It?

10/29/20

Transparent Product Information in Pharmaceutical Manufacturing

10/14/20

How to Improve Back-End Systems Using Master Data Management

9/19/20

8 Benefits of Transparent Product Information for Medical Devices

9/1/20

How Retailers Can Increase Online Sales in 2023

8/23/20

Master Data Management (MDM) & Big Data

8/14/20

Key Benefits of Knowing Your Customers

8/9/20

Women in Master Data: Kelly Amavisca, Ferguson

8/5/20

Customer Data in Corporate Banking Reveal New Opportunities

7/21/20

How to Analyze Customer Data With Customer Master Data Management

7/21/20

How to Improve Your 2023 Black Friday Sales in 5 Steps

7/18/20

4 Ways Product Information Management (PIM) Improves the Customer Experience

7/18/20

How to Estimate the ROI of Your Customer Data

7/1/20

Women in Master Data: Rebecca Chamberlain, M&S

6/24/20

How to Personalise Insurance Solutions with MDM

6/17/20

How to Democratize Your Data

6/3/20

How to Get Buy-In for a Master Data Management Solution

5/25/20

How CPG Brands Manage the Impact of Covid-19 in a Post-Pandemic World

5/18/20

5 Steps to Improve Your Data Syndication

5/7/20

Women in Master Data: Gwen Moilanen-Kollar

3/31/20

Marketing Data Quality: Why Is It Important and How to Get Started

3/26/20

Panic Buying: Navigating Long-term Implications and Uncertainty

3/24/20

Women in Master Data: Ditte Brix, IMPACT

2/20/20

Get More Value From Your CRM With Customer Master Data Management

2/17/20

Women in Master Data: Nagashree Devadas, Stibo Systems

2/4/20

How to Create Direct-to-Consumer (D2C) Success for CPG Brands

1/3/20

Women in Master Data: Anna Schéle, Ahlsell

10/25/19

Women in Master Data: Morgan Lawrence, Infoverity

9/26/19

Women in Master Data: Sara Friberg, Acando (Part of CGI)

9/13/19

Improving Product Setup Processes Enhances Superior Experiences

8/21/19

How to Improve Your Product's Time to Market With PDX Syndication

7/18/19

8 Tips For Pricing Automation In The Aftermarket

6/1/19

How to Drive Innovation With Master Data Management

3/15/19

Discover PDX Syndication to Launch New Products with Speed

2/27/19

How to Benefit from Product Data Management

2/20/19

What is a Product Backlog and How to Avoid It

2/13/19

How to Get Rid of Customer Duplicates

2/7/19

4 Types of IT Systems That Should Be Sunsetted

1/3/19

How to Use Customer Data Modeling

11/15/18

How to Reduce Time-to-Market with Master Data Management

10/28/18

How to Start Taking Advantage of Your Data

9/12/18

6 Signs You Have a Potential GDPR Problem

8/16/18

GDPR: The DOs and DON’Ts of Personal Data

6/13/18

How Master Data Management Supports Data Security

6/7/18

Frequently Asked Questions (FAQ) About the GDPR

5/30/18

Understanding the Role of a Chief Data Officer

4/26/18

3 Steps: How to Plan, Execute and Evaluate Any IoT Initiative

2/20/18

How to Benefit From Customer-Centric Data Management

9/7/17

3 Ways to Faster Innovation with Multidomain Master Data Management

6/7/17

Product Information Management Trends to Consider

5/25/17

4 Major GDPR Challenges and How to Solve Them

5/12/17

How to Prepare for GDPR in Five Steps

2/21/17

How Data Can Help Fight Counterfeit Pharmaceuticals

1/24/17

Create the Best Customer Experience with a Customer Data Platform

1/11/17
Did you like this blog post?

Sign up to get the latest blog content in your inbox.