agile data management strategies for profitability

1
Perceived impact of AI on profitability Use AI to Gain Faster, Better Business Insights AI helps all stakeholders see the big picture so they don’t underestimate risk and miss out on revenue-generating insights. Rely on Complete, High-Quality Data to Drive Insights The agility to permeate data siloes and unlock new data sources improves the accuracy of AI insights. Support IT Agility to Drive Competitive Advantage Agile and innovative data management strategies help firms meet security demands, gain client insights and attain next-level business intelligence. Make Insights Accessible to Improve Decision Making Widely accessible yet secure data-driven insight capabilities equip decision makers with competitive agility. 1.5x Faster Revenue Growth With AI Asset managers embracing big data and analytics are growing revenue 1.5 times more quickly than the rest of financial services. Data source: Global survey of 151 financial services firms by World Economic Forum (WEF) and University of Cambridge Judge Business School, January 2020 Data source: Global survey of 151 financial services firms by World Economic Forum (WEF) and University of Cambridge Judge Business School, January 2020 Exhibit 1: The use of AI exerts a positive impact on a firm’s profitability AI implementation hurdles by financial sector Simplify Data Discovery and Analytics to Understand Customer Needs Innovative data strategies help leading financial institutions derive value well beyond regulatory compliance. Key Challenges in Implementing Customer Experience IT Strategy in Banking 37% Managing and synchronizing multiple channels and breaking down data silos 36% Gathering and selecting useful data from existing and new data sources Access to data 52% 31% 17% 34% Investment Management Market Infrastructures & Professional Services Payments Deposits & Lending Application Agility Infrastructure Agility Data Agility Competitive Advantages of IT Agility - Reduce the total cost of compliance - Support digital transformation - Empower all business users to better understand their customer - Monetize data-driven insights - Embrace new ways of working Increase 58% Decrease 17% No Change 25% Data source: TABB Group survey, >100 financial institutions, 2018 Importance of ‘unstructured’ data sources in AI applications (scale 0-3) Documents CRM Data (Call Notes) News/Premium Data Sources Knowledge Bases Core Banking Systems E-mails Social Media 3 2.5 2 1.5 1 0.5 0 3 2.5 2 1.5 1 0.5 0 Explore the Research: Achieve Competitive Agility with Innovative Data Management Strategies Download Industry Report Corporate Headquarters 2535 Augustine Drive Santa Clara, CA 95054 USA hitachivantara.com | community.hitachivantara.com Contact Information USA: 1-800-446-0744 Global: 1-858-547-4526 hitachivantara.com/contact Hitachi Vantara HITACHI is a registered trademark of Hitachi, Ltd. Pace October 2021 Agile Data Management Strategies for Profitability Fuel profitability and digital maturity with innovative data management strategies.

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Page 1: Agile Data Management Strategies for Profitability

Perceived impact of AI on pro�tability

Use AI to Gain Faster, Better Business Insights

AI helps all stakeholders see the big picture so they don’t underestimate risk and miss out on revenue-generating insights.

Rely on Complete, High-Quality Data to Drive Insights

The agility to permeate data siloes and unlock new data sources improves the accuracy of AI insights.

Support IT Agility to Drive Competitive Advantage

Agile and innovative data management strategies help �rms meet security demands, gain client insights and attain next-level business intelligence.

Make Insights Accessible to Improve Decision MakingWidely accessible yet secure data-driven insight capabilities equip decision makers with competitive agility.

1.5x FasterRevenue Growth With AIAsset managers embracing big data and analytics are growing revenue 1.5 times more quickly than the rest of �nancial services.

Data source: Global survey of 151 �nancial services �rms by World Economic Forum (WEF) and University of Cambridge Judge Business School, January 2020

Data source: Global survey of 151 �nancial services �rms by World Economic Forum (WEF) and University of Cambridge Judge Business School, January 2020

Exhibit 1: The use of AI exerts a positive impact on a �rm’s pro�tability

AI implementation hurdles by �nancial sector

Simplify Data Discovery and Analytics to Understand Customer Needs

Innovative data strategies help leading �nancial institutions derive value well beyond regulatory compliance.

Key Challenges in Implementing Customer Experience IT Strategy in Banking

37% Managing and synchronizing multiple channels and breaking down data silos

36% Gathering and selecting useful data from existing and new data sources

Access to data 52% 31% 17% 34%

Investment Management

Market Infrastructures & Professional Services

Payments

Deposits & Lending

ApplicationAgility

InfrastructureAgility

DataAgility

Competitive Advantages of IT Agility

- Reduce the total cost of compliance- Support digital transformation- Empower all business users to better

understand their customer- Monetize data-driven insights- Embrace new ways of working

Increase

58%Decrease

17%

No Change

25%

Data source: TABB Group survey, >100 �nancial institutions, 2018

Importance of ‘unstructured’ data sources in AI applications (scale 0-3)

Documents CRM Data (Call Notes)

News/Premium Data Sources

Knowledge Bases

Core Banking Systems

E-mails Social Media

3

2.5

2

1.5

1

0.5

0

3

2.5

2

1.5

1

0.5

0

Explore the Research:Achieve Competitive Agility with Innovative Data Management Strategies

Download Industry Report

Corporate Headquarters 2535 Augustine Drive Santa Clara, CA 95054 USA hitachivantara.com | community.hitachivantara.com

Contact InformationUSA: 1-800-446-0744Global: 1-858-547-4526hitachivantara.com/contact

Hitachi Vantara

HITACHI is a registered trademark of Hitachi, Ltd.

Pace October 2021

Agile Data Management Strategies for ProfitabilityFuel pro�tability and digital maturity with innovative data management strategies.