Watch full webinar here: https://buff.ly/3wdI1il As organizations compete in new markets and new channels, business data requirements include new data platforms and applications. Migration to the cloud typically adds more distributed data when operations set up their own data platforms. This spreads important data across on-premises and cloud-based data platforms. As a result, data silos proliferate and become difficult to access, integrate, manage, and govern. Many organizations are using cloud data platforms to consolidate data, but distributed environments are unlikely to go away. Organizations need holistic data strategies for unifying distributed data environments to improve data access and data governance, optimize costs and performance, and take advantage of modern technologies as they arrive. This TDWI Expert Panel will focus on overcoming challenges with distributed data to maximize business value. Key topics this panel will address include: - Developing the right strategy for your use cases and workloads in distributed data environments, such as data fabrics, data virtualization, and data mesh - Deciding whether to consolidate data silos or bridge them with distributed data technologies - Enabling easier self-service access and analytics across a distributed data environment - Maximizing the value of data catalogs and other data intelligence technologies for distributed data environments - Monitoring and data observability for spotting problems and ensuring business satisfaction

1. Overcoming Challenges
with Distributed Data to
Maximize Business Value
GUEST SPEAKERS
Inessa Gerber, Director of Product Management, Denodo
Colin Dover, Business Technology Platform, Center of Excellence, SAP
TDWI EXPERT PANEL
David Stodder
Senior Director of TDWI Research
for Business Intelligence

2. Expert Panel Webinar Sponsors

3. Overcoming Challenges
with Distributed Data to
Maximize Business Value
TDWI Research Perspectives
TDWI EXPERT PANEL
David Stodder
Senior Director of TDWI Research
for Business Intelligence

4. Distributed Data: Here – and Here to Stay
• Data universe continues to expand: 147 zettabytes
projected to be created in 2024 (Statista)
• Digital transformation of business processes and
applications, smart devices and sensors, online
channels
• Data democratization and self-service: Tendency for
siloed data systems to proliferate
• Users want single, trusted source of truth based on
relevant, complete, and diverse data
• Speed of business demands faster data system
development and deployment
• Analytics, AI/ML, and LLMs/generative AI: Learning
from massive and diverse data to generate insights
• Contextual understanding based on multiple sources
• Data-rich business applications need continuous
data
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5. Organizations Need a Strategy for Distributed
Data
• Data silos and fragmentation:
• 38% in TDWI research say silos create significant
challenges for data access, integration, management,
and governance
• 61% problems with data quality, completeness, and
consistency
• Often drives need for considerable data movement
• Data in transition: Cloud migration and hybrid
multicloud environments increase demand for
distributed data strategy
• Top priorities with cloud data in TDWI research:
• Connect to and integrate on-premises and cloud
data
• Enable access to and sharing of data in multiple
cloud data platforms
• Scalability and support for growth in concurrent
users
• Strategy for data silos (due to unplanned cloud
adoption)
• Solving access control, security, and governance
Copyright © 2024 TDWI

6. User Experience Challenges with Distributed
Data
• Challenges in improving user productivity and the
realization of business value from data
• Not above complexity: Users have to code or are
dependent on IT developers
• Sources and locations can change unexpectedly for
reports, dashboards, and analytics
• Adding new data is often slow, driving users to spin up
their own data systems (and more silos)
• 31% say data integration and management are too
inflexible for changing requirements
• Haphazard user journeys: Users with difference levels
of experience piece together content from multiple
data sources, which can lead to inconsistent quality
and adherence to governance rules
Copyright © 2024 TDWI

7. Distributed Data Governance and Quality
Challenges
• Data governance: Accountability for rules, policies,
and practices for protecting sensitive data, controlling
access, and aligning with security, masking,
anonymization, etc. practices
• 43% say developing an inventory of data assets is a
major challenge – exacerbated by data silos
• Data lineage: Important to know data origins, ownership,
and how data is being used and shared; also, for AI
explainability
• Local data residence requirements and differing
regulations can restrict data movement
• Data quality: Similar issues
• Improving trust in data quality is a top data
modernization goal for most organizations surveyed by
TDWI
• Poor data quality erodes trust downstream in
dashboards, analytics, and data-driven decisions
Copyright © 2024 TDWI

8. Data Integration, Transformation, and Pipeline
Challenges
• The labyrinth: Complex data pipelines and ETL
processes
• Delays lead to business insight delays; inability to
develop and test AI/ML
• Data integration and pipeline processes are often
complicated and heavily manual
• Metadata chaos where there is no centralized
metadata management
• Concerns about cost and performance; hard to
allocate resources to the most important workloads
• Data integration strategic priorities in TDWI
research:
• Reduce unnecessary data movement
• Simplify management and ensure consistency
• Enable planned growth and scalability
• Encourage reuse and collaboration
Copyright © 2024 TDWI

9. Poll Question #1
Which of the following is your biggest challenge in managing distributed data and
providing users with more complete views and access?
Disparate data silos, including hybrid multicloud, thwart complete single views and access
Data governance is incomplete and not holistic across distributed data
Data quality is problematic and inconsistent
Data pipelines, ETL, and connectivity are complex, slow, and too manual
Data management is not efficient and cost-effective
Other (please let us know in the Ask a Question box)

10. Tech Trends Key to Solving Distributed
Challenges
• Data catalogs and data intelligence
• Enabling sensitive data inventory and tracking
• Centralized information to fix data quality problems
• Data lineage: Catalog for recording
• Integration with MDM, business glossaries, and semantic layers for complete data
intelligence
• AI-infused automation replacing traditionally manual work
• Data fabrics and virtualization
• Architectural layer to reduce friction in connecting to distributed data; single point of
access
• Metadata (data catalog) critical to location, governance
• Data mesh
• People and process focus; domain empowerment for eliminating delays in
development and delivery of data as a product
• Putting the customer of data products front of mind
• Federated and automated governance constraints
• Data silo consolidation
• Using cloud data platforms to reduce silos; unified data warehouse and data lake
Copyright © 2024 TDWI

11. Poll Question #2
Which of the following strategies are being used by your organization to address
distributed data challenges and improve data management, governance, integration,
and access? (Please select all that apply.)
Data virtualization and/or data fabric
Data mesh
Data consolidation to reduce data silos
Deploying new or expanding current enterprise data catalog
We do not have a distributed data strategy
Other (please let us know in the Ask a Question box)

12. Thank You
TDWI WEBINAR
David Stodder
Senior Director of TDWI Research
for Business Intelligence
dstodder@tdwi.org
@dbstodder

13. Expert Panel Discussion
Colin Dover
Business Technology Platform,
Center of Excellence
SAP
David Stodder
Senior Director of Research
Business Intelligence
TDWI
Inessa Gerber
Director of Product Management
Denodo

14. Audience Q&A with Speakers
TDWI WEBINAR

15. Speaker Contact Information
Colin Dover
Business Technology Platform,
Center of Excellence
SAP
c.dover@sap.com
David Stodder
Senior Director of Research
Business Intelligence, TDWI
dstodder@tdwi.org
Inessa Gerber
Director of Product Management
Denodo
igerber@denodo.com

16. Thank You to Our Expert Panel Webinar
Sponsors

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