Watch full webinar here: https://bit.ly/3TJcuMe IDC predicts that the amount of data created across the globe will grow by more than 3x over the next four years (from 12.4ZB in 2021 to more than 40ZB in 2025) and 25% of the global datasphere will consist of real-time data by 2025. Data management and data integration pose significant barriers to leveraging this data. IDC’s concept of the Data Control Plane can help to address these challenges. It is an architectural layer that combines a holistic set of data activities to manage and control the behavior of people and processes in the use of distributed, diverse, and dynamic data to better support and drive enterprise intelligence initiatives. Enterprises have traditionally depended on Extract, Transform and Load (ETL) and other approaches for Data Integration. This involves data replication and movement from source to a centralized repository and has proven to be costly, cumbersome, and inefficient. The Data Control Plane powered by Data Virtualization is gaining momentum in enterprise architectures by virtue of its logical and real-time data integration and management capabilities. Catch this on-demand to learn more about the Data Control Plane and how Denodo’s Logical Data Platform can play a critical role in this approach to unlock enterprise intelligence within the APAC Region.

1. How to Elevate Enterprise
Intelligence in your
Organization
DENODO WEBINAR | ASEAN

2. SPEAKERS
Paul Moxon
SVP Data Architecture and
Chief Data Evangelist
Denodo
Katrina Briedis
Sr. Product Marketing
Manager
Denodo

3. AGENDA
1. Enterprise Intelligence
2. What is a Data Control Plane?
3. What is the role of Data Virtualization?
4. The Logical Data Platform
5. Next Steps

4. Enterprise Intelligence

5. 5
By 2023, 60% of enterprise intelligence initiatives in APEJ will be business specific, purpose built for
business, shortening the data to decisions time frame by 30%, driving higher agility and resiliency.
Enterprise Intelligence is an organization’s capacity
to learn combined with its ability to synthesize the
information it needs in order to learn and to apply
the resulting insights at scale within a strong
data culture that enables organizations to improve
business outcomes.

6. 6
The Data Analytics Environment will be increasingly Hybrid, with New
Investments being planned for Cloud Deployments
Ambitions of Enterprise Intelligence
By 2024, over 30% of A2000 companies will run AI workloads distributed more evenly
from core to edge to cloud and will be managed by AI software platform providers,
making the infrastructure invisible.
By 2025 in APJ, Public Cloud Services deployments of BI, Analytics, and Data
Management workloads will outgrow traditional on-premises usage.
>30%
By 2025, 30% of APEJ small and medium-sized businesses (SMBs) will have adopted
cloud-native data-driven apps intelligently adapting their behaviour to the business’
needs.
30%

7. 7
Demand for Specialized Data Management (Graph, Stream Processing) will
rise
Ambitions of Enterprise Intelligence
By 2025, 30% of A2000 enterprises will deploy graph databases, recognizing this
technology’s applicability to a growing set of use cases involving relationship,
influence, path, and pattern analysis.
30%
By 2025, 40% of spending on data capture and movement technology in APEJ will be
on streaming data pipelines, enabling a new generation of real time simulation,
optimization, and recommendation capabilities.
40%

8. 8
Relational Data Warehouses and Data Lakes will draw sustained investments;
Analytics to become more democratized and augmented.
Ambitions of Enterprise Intelligence
By 2023, 25% of APEJ enterprises will have headless analytics embedded into the
business, thereby improving real-time operational decision making and achieving
process automation.
25%

9. 9
Enhanced Focus on Data Science and AI Applications
Ambitions of Enterprise Intelligence
By 2022, at least 55% of A2000 companies will leverage AI tools, such as NLP, ML,
and DL business wide, to enable 55% of use cases across areas, such as CX, security,
facilities, and procurement.
>55%
By 2023, 60% of enterprise intelligence initiatives in APEJ will be business specific,
purpose built for business, shortening the data to decisions time frame by 30%, driving
higher agility and resiliency.
30%
By 2025, 10% of A500 companies will incorporate scientific methods and systematic
experimentation at scale, resulting in a 50% increase in product development and
business planning — outpacing peers.
50%

10. 10
Enterprises will Explore Avenues to Monetize Data and Form External Data-
Based Ecosystems
Ambitions of Enterprise Intelligence
By 2023, 40% of A2000 companies will have active development teams seeking to
externally monetize their data to enhance traditional offerings, drive innovation, or
deliver data and analytics as a service.
40%
By 2023, 40% of A1000 enterprises will be involved in intercompany intelligence
sharing based on common standards, values, and goals, strengthening mutualism in
ecosystem relationships by 50%.
40%
By 2024, 40% of A2000 enterprises will form data-sharing partnerships with external
stakeholders via data clean rooms to increase interdependence while safeguarding
data privacy and precious data assets.
40%

11. 11
Barriers to Successful Enterprise Intelligence Initiatives

12. 12
Are these the same types of
challenges faced across
other regions?
Global Perspective

13. What is a Data Control
Plane?

14. 14
What is a Data Control Plane?
Source: IDC, Data Control Plane: An Architecture for Data Enablement, #US45633720

15. 15
Data Intelligence leverages business, technical relational and operational
metadata to provide transparency of data profiles, classification, quality,
location, lineage and context – thus enabling people processes and
technology with trustworthy and reliable data.
Defined Layers of the Data Control Plane
The governance layer of a data control plane is a conduit for control and
monitoring of data intelligence and engineering activities. It includes data
controller, policy engine, and observability components.
Capabilities in Data engineering layer are those functions that are associated
with ingestion, transformation, replication, data cleansing, and data
orchestration. Data integration forms a key domain under this layer
Data
Control
Plane
Layers
Data Intelligence
Layer
Governance
Layer
Data Engineering
Layer
Source: IDC InfoBrief, Enterprise Intelligence Unlocked IDC Doc. # AP241357IB

16. 16
Combines a holistic set of data activities to manage and control the holistic behaviour of people and processes in the use
of distributed, diverse, and dynamic data
Benefits
§ A data control plane should provide for situational awareness, policy management, and a capability to directly regulate
behaviour but not restrict organizational enablement with data.
§ Data control plane adds the missing functional characteristics of a fabric or mesh, and it accounts for the notion of
distributed data across a plane of hybrid cloud environments.
§ Data control plane architectures do not promote rip and replace of existing technologies, but enable the integration,
orchestration, and automation of disparate data integration and intelligence capabilities.
Bridging the Gap
Source: IDC InfoBrief, Enterprise Intelligence Unlocked IDC Doc. # AP241357IB

17. 17
Is the Data Control Plane
similar to other architectural
patterns?
Data Architect Perspective

18. What is the Role of
Data Virtualization?

19. 19
Achieving Data Integration and Boosting Data Management
Data Virtualization
Data Virtualization is an
approach to Data Integration
that allows creation of a unified
view of data (irrespective of
formats and sources) without
replication and movement of
data at source.
Source: IDC InfoBrief, Enterprise Intelligence Unlocked IDC Doc. # AP241357IB

20. 20
Plays a Key Role in the Data Control Plane
Source: IDC, Data Control Plane: An Architecture for Data Enablement, #US45633720

21. 21
Data Virtualization—Powered Data Control Plane in Action
Benefits
§ Harness Data Analytics & AI Initiatives Effectively
§ Accomplish Integration - during cloud deployments and/or integration
between on-premises and cloud applications
§ Integrate Big Data Workloads
§ Ensure Seamless Data Governance
§ Data Delivery Platform
§ Customer 360-Degree View / Master Data Management

22. 22
Can Data Virtualization
elevate Enterprise
Intelligence?
Data Architect Perspective

23. Logical Data Platform

24. 24
Denodo Platform: ONE Logical Platform for All Your Data
Logically Integrate, Manage, and Deliver Distributed Data
ANY DATA
SOURCE
ANY DATA
CONSUMER
ANY PLATFORM ENVIRONMENT
On-Premises | Cloud | Multi-Cloud | Containerized
Data
Governance
Tools
BI Dashboard
Report and Tools
Data Science &
Machine Learning
Apps
Mobile &
Enterprise Apps
Microservices
Apps
DB, DW &
Data Lakes
Files
Cloud DB
& SaaS
Streaming
Data & IoT
Cube
Smart Query
Acceleration
AI/ML Recommendations
& Automation
Advanced Semantics
& Active Data
Catalog
Unified Security &
Governance
Logical Data
Abstraction
Real-Time Data
Integration

25. 25
Logical Architecture

26. Key Differentiators
EASE OF USE
Intuitive easy to use interface to
drive data democratization and
discovery
FAST QUERY RESPONSE
Query optimization returns results
faster resulting in better compute
and reduced costs
INTEGRATED ACTIVE DATA
CATALOG
Provides a semantically driven
experience to help data discovery
and governance
UNIVERSAL
CONNECTIVITY
Integrate to over 150 data
sources
MODERN DATA SERVICES
API LAYER
Deliver data through a single
schema accessible through a
modern API layer
DYNAMIC DATA MASKING
Provides enhanced data
governance capabilities
AUTOMATED CLOUD
MANAGEMENT
scale up or scale down to take
better manage costs associated
with peak use

27. 27
Data Architect Perspective
Can you share some examples of a
logical approach being used
successfully to elevate Enterprise
Intelligence?

28. Next Steps

29. 29
Get Started Today
Try Denodo for a Test Drive with a 30-
day free trial in the cloud marketplaces
CHOICE
Under your cloud account
SUPPORT
Community forum AND remote sales
engineer
OPPORTUNITY
30 minutes free consultation with
Denodo Cloud specialist
denodo.link/TD2022

30. IDC InfoBrief: Enterprise
Intelligence Unlocked
Assessing the Central Role of
Data Control Plane
and Data Virtualization
denodo.link/infobrief

31. Thanks!
www.denodo.com info@denodo.com
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