10 Data Management Trends in Financial Services

Master Data Management Blog by Stibo Systems logo
| 3 minute read
November 19 2020

Financial services institutions, such as banks and insurance companies, rely on transparency of their customer master data and product master data to capitalise on a number of industry trends

Master data management plays a critical role in ensuring data transparency. Master data management therefore enables you to leverage the customer and product master data – that you already have – to address and drive revenue from these current trends in the financial services industry.

data management in financial services


Get the full executive brief on the top ten trends in financial services and exactly how master data management can help you to address and capitalise on those trends, or get a quick summary below.

10 trends in financial services that make master data management essential

Trend #1: Partnering with digital service providers, fintechs and industry disruptors

Banks are morphing into becoming technology companies. To support this paradigm, financial services providers need to implement scalable mechanisms by which they can collaborate on the development of new products and services with new types of business partners.


Trend #2: Putting AI and ML into accelerated training with synthetic data

As AI moves from the testing phase to finding full employment, it needs to be trained with synthetic data that reflects real-world use cases and allows it to explore the corners of exceptions. Robotic process automation (RPA) will benefit from this training as it moves towards becoming more intelligent (IRPA).


Trend #3: Establishing a data culture with data democracy

Being a highly data-intensive business, financial services companies rely on the ability to confidently make decisions based on data. Implementing reliable, data-driven decision-making processes requires that you develop awareness of the impact of data management. This is often referred to as a data culture.


Trend #4: Becoming customer and solution-centric

Offering a seamless customer experience is still a key component of any customer loyalty initiative. To treat a customer as unique, you need to make product portfolios work together to form part of a personalised solution, rather than an abstract set of products.

 

 


Trend #5: Cultivating the digital twin

As customer expectations continue to evolve, the ability of financial services providers to meet them will largely depend on access to ever more insightful and personal information. You need to develop operational and analytical systems in order to help turn your data points into a digital twin of the customer that provides more actionable insight.


Trend #6: Offering customer service at the point of need

Using personal interaction channels in conjunction with automated services is not just reserved for direct banking applications, but now extends to the point of need.


Trend #7: Selling your data

Good data has commercial value. The discipline of infonomics provides support to the mechanism of linking information to monetary value. Financial services companies have the opportunity to find new revenue streams from data assets, such as customer data.


Trend #8: Implementing proactive compliance management with regtech

Compliance measures are data intensive. Regulatory technology, regtech, is a technology that supports the implementation of regulatory processes. The use of regtech is increasing.


Trend #9: Making transparency part of the brand

Privacy, consent and transparency of products and operations are increasingly of concern to consumers. Addressing transparency can help you to build consumer trust and thus turn regulatory compliance into a business advantage. Learn more about how to make your financial products and processes
transparent to the delight of consumers and regulators in the white paper below.

 

 

Trend #10: Building a business-as-a-service

Like many businesses, financial services organizations are evolving into a provider of digital services via platforms, effectively putting the business “in a box”. If you want to pursue this ambition, your data not only needs to be of high quality. It also needs to be served up according to contextual business information views, rather than technical views.


The critical role of master data management in financial services

The common denominator of the top trends in financial services is that they rely on data transparency. Master data management enables data transparency by providing a single, trusted view of business-critical information, such as customer and product master data.

Master data management defines and implements governance policies to certify that certain critical parameters of your customer and product data, including its origin, accuracy, coherence, accessibility, security, auditability and ethics, are under business supervision and best serving business purpose.

Adding a little bit more detail, this means that master data management can help by:

  • Providing the ability to create, manage and distribute the authoritative sources of reference data required for open banking collaboration
  • Providing the data governance that can help to support the explainability of the AI decision making (XAI) to ensure non-bias
  • Establishing and monitoring data governance policies, yielding metrics that support improvement planning
  • Allowing data governance to stretch across and join product and customer data sets (Multidomain MDM)
  • Providing a unified offer development platform that helps to describe offers and the parameters to which they might be personalized according to customer insight
  • Creating trusted customer data sources that maintain insightful data collected from the customer and other inferred sources
  • Linking the quality, coherence and depth of information to rules of individual consent
  • Providing the ability to manage the safeguards of transparency on the key business facts that often form part of compliance reporting
  • Constructing a single, 360° view, of the customer


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

Using Machine Learning and MDM CBAM for Sustainability Compliance

12/3/24

How to Implement Master Data Management: Steps and Challenges

11/26/24

AAPEX and SEMA: The Automotive Aftermarket Industry’s Mega-Showcase

11/25/24

5 Key Trends in Product Experience Management

11/20/24

Building the Future of Construction with AI and MDM

11/19/24

Solving Retail Data Fragmentation: The Key to Consistent Customer Journeys

11/14/24

Live Shopping: How to Leverage Product Information for Maximum Impact

10/22/24

Why Data Accuracy Matters for CPG Brands

10/16/24

Why Choose a Cloud-Based Data Solution: On-Premise vs. Cloud

10/15/24

How to Use Customer Data Modeling

10/10/24

Navigating Change: Engaging Business Users in Successful Change Management

9/20/24

What is Digital Asset Management?

9/11/24

How to Improve Your Data Management

9/3/24

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

9/1/24

Digital Transformation in the CPG Industry

8/30/24

5 CPG Industry Trends and Opportunities for 2024-2025

8/29/24

What is the difference between CPG and FMCG?

8/27/24

Responsible AI relies on data governance

8/27/24

6 Features of an Effective Master Data Management Solution

8/15/24

Great Data Minds: The Unsung Heros Behind Effective Data Management

8/13/24

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

8/6/24

Introducing the Master Data Management Maturity Model

8/4/24

What is Augmented Data Management? (ADM)

7/31/24

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

7/30/24

Data Governance and Data Protection: A Match Made in Heaven?

7/17/24

The Difference Between Master Data and Metadata

5/26/24

Master Data Management Roles and Responsibilities

5/20/24

8 Best Practices for Customer Master Data Management

5/16/24

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

5/12/24

Guide: Deliver flawless rich content experiences with master data governance

4/11/24

Risks of Using LLMs in Your Business – What Does OWASP Have to Say?

4/10/24

Guide: How to comply with industry standards using master data governance

4/9/24

Digital Product Passports - A Data Management Challenge

4/8/24

Guide: Get enterprise data enrichment right with master data governance

4/2/24

Guide: Getting enterprise data modelling right with master data governance

4/2/24

Guide: Improving your data quality with master data governance

4/2/24

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

Product Data Management during Mergers and Acquisitions

4/6/23

A Complete Master Data Management Glossary

3/14/23

4 Ways to Reduce Ecommerce Returns

3/8/23

Asset Data Governance is Central for Asset Management

3/1/23

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

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

1/20/23

5 Key Manufacturing Challenges in 2023

1/16/23

What is a Golden Customer Record in Master Data Management?

1/9/23

Innovation in Retail

1/4/23

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

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

Supplier Self-Service: Everything You Need to Know

6/15/22

Omnichannel vs. Multichannel: What’s the Difference?

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

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? Meaning & examples

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

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

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

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

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 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

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 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