Emerging Trends in Data Architecture – What’s the Next Big Thing

Copyright Global Data Strategy, Ltd. 2021
Emerging Trends in Data Architecture —
What’s the Next Big Thing?
Donna Burbank
Global Data Strategy, Ltd.
January 27th, 2022

Global Data Strategy, Ltd. 2022 www.globaldatastrategy.com
Donna Burbank
2
Donna is a recognised industry expert in
information management with over 20 years
of experience in data strategy, information
management, data modeling, metadata
management, and enterprise architecture.
Her background is multi-faceted across
consulting, product development, product
management, brand strategy, marketing, and
business leadership.
She is currently the Managing Director at
Global Data Strategy, Ltd., an international
information management consulting company
that specializes in the alignment of business
drivers with data-centric technology. In past
roles, she has served in key brand strategy
and product management roles at CA
Technologies and Embarcadero Technologies
for several of the leading data management
products in the market.
As an active contributor to the data
management community, she is a long time
DAMA International member, Past President
and Advisor to the DAMA Rocky Mountain
chapter, and was awarded the Excellence in
Data Management Award from DAMA
International.
She has worked with dozens of Fortune 500
companies worldwide in the Americas,
Europe, Asia, and Africa and speaks regularly
at industry conferences. She has co-authored
several books and is a regular contributor to
industry publications. She can be reached at
donna.burbank@globaldatastrategy.com
Donna is based in Boulder, Colorado, USA.
Follow on Twitter @donnaburbank
@GlobalDataStrat
Twitter Event hashtag: #DAStrategies

DATAVERSITY Data Architecture Strategies
• January Emerging Trends in Data Architecture – What’s the Next Big Thing?
• February Building a Data Strategy - Practical Steps for Aligning with Business Goals
• March Master Data Management – Aligning Data, Process, and Governance
• April Data Governance & Data Architecture: Alignment & Synergies
• May Improving Data Literacy Around Data Architecture
• June Business Intelligence & Data Analytics: An Architected Approach
• July Best Practices in Metadata Management
• August Data Quality Best Practices
• September Business-centric Data Modeling
• October Graph Databases: Benefits & Risks
• December Enterprise Architecture vs. Data Architecture
3
This Year’s Lineup

What We’ll Cover Today
• With technological innovation and change occurring at an
ever-increasing rate, it’s hard to keep track of what’s hype
and what can provide practical value for your organization.
• This webinar will discuss the results of a recent
DATAVERSITY survey on emerging trends in data
architecture, along with practical commentary and advice.
4
Content is based on research from a 2021 DATAVERSITY survey
on “Trends in Data Management”.

Data-Driven Business
70% of organizations feel that their
organization sees data as a strategic asset*.
70% of indicated that reporting and
analytics were key drivers for data
management.** (flat YoY from 2020)
64% of organizations see digital
transformation as a key driver for data
management. ** (increase of 11% from 2020)
5
* based on research from a 2019 DATAVERSITY survey on “Trends in Data Management” by Donna Burbank and Michelle Knight
** based on research from a 2021 DATAVERSITY survey on “Trends in Data Management” by Donna Burbank and Michelle Knight

Main Business Goals & Drivers for Data Management
6
0.00% 10.00% 20.00% 30.00% 40.00% 50.00% 60.00% 70.00% 80.00%
Gaining Competitive Advantage
Improving Outcomes (e.g. health, education, etc.)
Improving Product Quality
Increasing Revenue and Growth
Improving Customer Satisfaction
Complying with Regulations
Saving Cost and Increasing Efficiency
Reducing Risk
Supporting Digital Transformation
Gaining Insights through Reporting and Analytics
Main Business Goals & Drivers for Data Management
(select all that apply)

What is Digital
Transformation?
• Digital transformation can refer to anything from IT modernization (for
example, cloud computing), to digital optimization, to the invention of
new digital business models.
• The term is widely used in public-sector organizations to refer to modest
initiatives such as putting services online or legacy modernization. Thus,
the term is more like “digitization” than “digital business transformation.”
- Gartner Information Technology Glossary
7

Organizations are Looking at Data More Strategically in Future
8
0% 10% 20% 30% 40% 50% 60% 70%
Data Strategy
Data Quality
Data Architecture
Data Governance
Data Security
Business Intelligence & Reporting
Data Warehouse
0% 5% 10% 15% 20% 25% 30% 35% 40% 45%
Data Architecture
Metadata Management
Master Data Management
Data Quality
Self-Service Reporting & Analytics
Data Strategy
Data Governance
Data Priorities in
Place for 2021
Future Data
Priorities
in 2022-2023

Who is Driving Data Management in the Organization?
9
0% 5% 10% 15% 20% 25% 30% 35% 40%
Chief Executive Officer (CEO)
IT Manager
Business Stakeholders
Data Architect
Data Analytics Leader
Chief Information Officer (CIO)
Chief Data Officer (CDO)
Data Governance Lead
Who Drives Data Management in the Organization?
(Select All that apply)

Self-Service BI & Data Governance
10
40% of organizations cite collaborating between business and IT as a
major impediment to data management success.
41% of organizations are
planning on starting new data
governance efforts in 2022-2023
(53% have in place already).
… a 2% increase since 2019
32% of organizations are
looking to implement new self-
service BI efforts in 2022-2023
(36% have in place already).
… a 5% decrease since 2019

Global Data Strategy, Ltd. 2022 www.globaldatastrategy.com 11
47% Skills Shortage
40% Alignment with
the Business
What are the Biggest Data
Challenges Faced by
Your Organization?
Data Literacy – Skills Across Tech & Business

Top 10 Data Platforms & Sources - 2021
12
0.00% 10.00% 20.00% 30.00% 40.00% 50.00% 60.00% 70.00% 80.00%
Non-relational cloud-based database
Non-relational on-premises database
Big Data platforms (e.g. Hadoop Ecosystem)
Legacy systems (e.g. Mainframe, COBOL, etc.)
XML
JSON
Packaged applications (e.g. ERP, CRM, etc.)
Relational cloud-based database
Spreadsheets
Relational on-premises database
Which of the Following Data Sources or Platforms are you Using Today? Top 10
(Select all that apply)

Top 10 Data Platforms & Sources – 2022-23
13
0.00% 10.00% 20.00% 30.00% 40.00% 50.00% 60.00%
Graph database
Real-time/streaming database
Big Data platforms (e.g. Hadoop Ecosystem)
JSON
Don’t know
Packaged applications (e.g. ERP, CRM, etc.)
Spreadsheets
Non-relational cloud-based database
Relational on-premises database
Relational cloud-based database
Which Data Platforms & Sources Do You Plan to Use in the Next 1-2 Years? Top 10
(Select all that apply)

Looking Back
14
How Well did 2021 Match
2020’s Predications?

Top 5 Predictions for 2021
15
1. A focus on foundations will continue as organizations see a need for quality data as a
foundation for business insights.
2. Organizations who have built their data foundation during the economic downturn
will reap substantial benefits during the subsequent economic rebound.
3. Business insights from data will continue to be a driver, with a stronger focus on
advanced techniques such as data science and advanced analytics.
4. Data Governance will continue to play a strong role, with a concomitant increase in
related initiatives such as master data management, metadata management, etc.
5. Investment in Data Management will continue, with an emergence of new
technology players supporting increased demand for tools such as data catalog, data
quality, cloud data platforms, etc.

Looking Ahead
16
What’s the next Big
Thing for 2022 and
Beyond?

Top 5 Predictions for 2022 and Beyond
17
1. Self-Service Reporting and BI will morph into Business-driven Data Governance as
organizations see the need to build trusted data sets.
2. Data Literacy will rise to buzzword status, but organizations will struggle with what that means,
i.e. how “technical” to get for the average “citizen data analyst”.
3. Digital Transformation will begin to become a Business As Usual (BaU) way of doing business.
4. The “Cloud First” Database approach will continue to grow, with the relational database
continuing to be an unsung hero driving the majority of usage.
5. Database platforms will become more “Best of Breed”, i.e. “both-and”, rather than “either or”
as platforms mix the best of relational, columnar, data lake storage, etc. (e.g. Data Lakehouse).

3
Summary – Emerging Trends in Data Architecture
• Business insights and analytics continue to be
a driver as organizations seek to use data as a
strategic differentiator
• Digital Transformation is driving a need for
improved Data Management
• A wide range of roles, particularly business
roles need to be involved in a successful data
management initiative
• Data Literacy and Skills are needed for
effective business-driven BI & Analytics
• While a wide range of tools and technologies
are available, relational databases continue to
be a foundation of organizational data
architecture – tools are evolving to a more
best of breed approach.

DATAVERSITY Data Architecture Strategies
• January Emerging Trends in Data Architecture – What’s the Next Big Thing?
• February Building a Data Strategy - Practical Steps for Aligning with Business Goals
• March Master Data Management – Aligning Data, Process, and Governance
• April Data Governance & Data Architecture: Alignment & Synergies
• May Improving Data Literacy Around Data Architecture
• June Business Intelligence & Data Analytics: An Architected Approach
• July Best Practices in Metadata Management
• August Data Quality Best Practices
• September Business-centric Data Modeling
• October Graph Databases: Benefits & Risks
• December Enterprise Architecture vs. Data Architecture
19
This Year’s Lineup

Global Data Strategy, Ltd. 2021
Who We Are: Business-Focused Data Strategy
Maximize the Organizational Value of Your Data Investment
In today’s business environment, showing rapid time to value for
any technical investment is critical.
But technology and data can be complex. At Global Data Strategy,
we help demystify technical complexity to help you:
• Demonstrate the ROI and business value of data to your
management
• Build a data strategy at your pace to match your unique culture
and organizational style.
• Create an actionable roadmap for “quick wins”, which building
towards a long-term scalable architecture.
Global Data Strategy’s shares experience from some of the largest
international organizations scaled to the pace of your unique team.
www.globaldatastrategy.com
Global Data Strategy has worked with organizations globally in the
following industries:
Finance · Retail · Social Services · Health Care · Education · Manufacturing
· Government · Public Utilities · Construction · Media & Entertainment ·
Insurance …. and more

Questions?
Thoughts? Ideas?
21

Emerging Trends in Data Architecture – What’s the Next Big Thing

Empfohlen

Empfohlen

Weitere ähnliche Inhalte

Was ist angesagt?

Was ist angesagt? (20)

Ähnlich wie Emerging Trends in Data Architecture – What’s the Next Big Thing

Ähnlich wie Emerging Trends in Data Architecture – What’s the Next Big Thing (20)

Mehr von DATAVERSITY

Mehr von DATAVERSITY (20)

Kürzlich hochgeladen

Kürzlich hochgeladen (20)

Emerging Trends in Data Architecture – What’s the Next Big Thing