MongoDB World 2019: Data Digital Decoupling

DIGITAL
DATA
DECOUPLING
A NEW WORLD OF OPPORTUNITIES
WITH DATA
For communications across Accenture

QUESTIONS OUR CLIENTS ARE
ASKING
Copyright © 2019 Accenture. All rights reserved. 2
HOW
MIGHT
WE….
…innovate?
…create competitive advantage?
…retain and grow customer base?
… reduce IT budgets?
…Hot to manage data?
C-
Suite
Middle
Managers
HOW
MIGHT
WE….
…embrace new technologies?
…increase the access to legacy data?
…do more cloud native development?
…exit from legacy databases and mainframes?
…reduce the time it takes to make changes?
…maximize returns on IT investment?
…do more with less?

AND, CLIENT’S ARE FACED WITH THE
LARGE PARADOX
25%
44%
24%
6%1%
Strongly agree
Agree
Neither agree nor
disagree
Disagree
Strongly disagree
Technical debt in our legacy
systems severely limits our IT
function’s ability to be innovative
24%
50%
22%
3%
Our legacy systems contain trapped value--data
and/or capabilities that can be used for innovative
new products, services, processes and business
models but are not being leveraged.
31%
46%
17%
5%
1%
Technical debt in our
legacy systems increases
our IT Costs
The Good, … The Bad … and, The Ugly

DIGITAL DECOUPLING IS THE PATH TO
IT AGILITY
• Digital decoupling is a process of using new technologies, development methodologies and migration
methods (data & Application) to build systems that execute strategy on top of legacy systems.
Organizations can “decouple data and Application logic” the rapid execution of their business
strategy from the more lengthy and gradual transformation of the enterprise.
• Digital decoupling, when applied to the entire set of systems leads to Exponential IT, a scalable,
flexible and resilient architecture that gives companies the agility to continuously innovate.
• Exponential IT breaks the discontinuity cycle, the pattern that forces 92% of organizations to
undertake massive, costly it transformations at least once a decade due to technical debt.

THE ROADMAP TO DATA DECOUPLE
1. Set the Business Strategy
2. Assess and Learn
3. Define and Decouple
4. Evolve to Exponential IT

1. SET THE BUSINESS STRATEGY
Discover the future: Identify high impact industry and IT
trends, their potential for innovation, their timing, and their
impact on costs. In addition, assess the industry’s current level of
disruption and susceptibility to future disruption.
Be unrestrained: Apply these trends to core businesses and
new growth opportunities by envisioning the new business
models, new data storage, processes, products and services they
make possible.
Redefine success: Develop the new business strategy. Identify
pain points on data and application to be eliminated, short and
long-term goals to meet, the operating model required to
implement it, and the KPIs for business units and functions.

2. ASSESS AND LEARN
Online Systems
Othersystems
Legacy Systems
Legacy Data
TODAY’S IT
ARCHITECTURE Map the now: Describe today’s IT architecture, the systems
and data flows and data storage it contains, the functionality it
offers, the database it stores and the organizational structure that
builds and runs it.
Understand the now: Analyze the data value provided by
today’s systems, the restraints it imposes on the business, the
technical debt the systems and data contain, and where the
organization stands in the discontinuity cycle.
Educate on the new: understand the work required to
achieve and sustain IT agility, the decoupling techniques that
help organizations achieve IT agility, and that IT agility enables
organizations to continuously transform their systems and data.

3. DEFINE AND DECOUPLE
Online Systems
Othersystems
Legacy Systems
Legacy Data
INTERIM DECOUPLED
ARCHITECTURE
Online Systems
Othersystems
Legacy
Systems
Legacy
Data
New Core
System
New Data
Storage
Cloud Native
Create the new model: Define the
organization’s guiding principles for IT, draw
up its long term exponential IT model, and
overlay business priorities on the model.
Build the interim IT architecture: Start
applying decoupling techniques to add new
to the existing core systems and data without
being invasive. Focus on systems and data
that provide new revenues and meet other
short term goals.
Find and capture savings: Use reduced IT
and data processing costs to underwrite the
new architecture.

4. EVOLVE TO EXPONENTIAL IT
Online Systems
Othersystems
New Core System
New Data Storage
Cloud Native
EXPONENTIAL IT
ARCHITECTURE
Build the new enterprise IT: Move from interim IT to a fully
exponential architecture. Create new layers to enable more
agility and innovation and modernize the core data and systems
, while achieving the right balance of differentiation and
simplicity.
Reorganize IT work: Turn enterprise IT into a set of cross-
functional teams with end-to-end process responsibilities, led by
executive partnerships.
Continually transform: Exponential IT has no end state; it is
always evolving. Redefine strategy and reassess the IT
architecture as needed, then modify the layers and data. This
includes: upgrading or replacing systems in each layer, adding
cloud data cloud native reassessing where differentiation
matters and eliminate unnecessary customization, and
reconsidering which systems should be consolidated or
fragmented (chosen by business units or functions).

INITIAL SITUATION
Planned
Cost
Reduction
2016 2017 2018
No change
2019
Goal
+5% CPU usage per
year
60%
Total BackofficeBranch OtherOnline ReadOnline Write
Typical Distribution of Online
Transactions
Cost saving
potential
• Mainframe Costs rapidly increased over the
last years, with an ongoing increase of + 5%
CPU usage per year
• Massive move toward mobile channels,
continuous increase in request loads
• ~60% of the overall transactions are read-
only request
• client was not well equipped to cope with
digital challenges
• No realtime next-best-offer, etc…
Prepare for the Digital Revolution
Analytics Mobility Cloud Data
Rising Mainframe Costs
More Devices more Channels
Little digital capabilities
Interacti
ve

DIGITAL DECOUPLING:
INITIALLY FOCUSED ON THREE ELEMENTS
Wrap the Monolith -> APIfication & Contracts
Make data accessible -> Replication
Real-time interactivity -> Event processing
Be cloud native -> Microservice & DevOps
Be relevant -> State-of-the-art UI/UX & APIs
NO
FULL
FULL
PARTIAL
NO

DATA DECOUPLING
POWERFUL DATA FOUNDATION
Decoupled:DevOps&Cloud-native
weeklyreleases*
Classic
quarterlyreleases
Data Replication
Change Data Capture
DB2 data process and
Transform to MongoDB
documents and
collections
Data replication
One-way replication
Mainframe à relevant DB2
tables
Re-Route Reading
Customer will get in real-
time their data from the
MongoDB via
microservices
Data Management Digitally Decoupled
Business Processing
A B D
Applications
Data Replication
CDC Process
(Change
Data
Capture)
Real-TimeReal-Time
APIs
A
B
MAINFRAME MQ
Khafka
MongoQuery
JSON
Collections
Indexes
BSON
MongoDB
Mongo Cluster
KMIPAppliance
Sharding
Data Persistence
Store movements and
balances in MongoDB
C
C
Real-Time
D
Key Considerations
- Frequency of data access
- Keep only 3 years of data in
MongoDB
- Move rest of the data to Hadoop
- Use Zone Sharding to move data
across 1st Year, 2nd Year & 3rd Years
to improve the data performance
Production
Total DB Size 40TB
Working Set 4 TB
128 GB RAM 36 Shards
5 Replica Set 180 Physical
Machine
Capacity Details
- Backup is achieved through ops manager and stored in data
domain back up like other database systems
- The data domain replicated in another data center for disaster
recovery
- Policy based security standards for MongoDB
- KMIP appliance for encryption management & rotation
- Encryption and decryption roles to specific accountable person
- TLS encryption for in-fight data and at-rest AES-256 encryption using a master key from a KMIP
appliance
- Crypto function include FIPS 140-2 from NSIT standard

IMPACT
Mobile Push Customer
Journey
Insurance
Fraud Detection
Enterprise Search
Online
Transactions Mainframe
CPU
Reduced
Mainframe CPU
-60%
-50%
Reduced Online
Transactions
Established a Digital Foundation
• Implemented the Digital Foundation for strong use-cases
• Based on real innovative technologies (real-time streaming technologies based
on technologies used by Twitter and LinkedIn, data processing like Google and
Facebook)
Delivering in a scalable managed service mode
• With the Go-Live to MongoDB, reduced & contained immediately their online
transactions by 60% and could save 50% of CPU
• Cost savings within 9 months achieved
Achieved immediate and significant cost reduction
• Accenture set-up a managed services to deliver
Old MongoDB Old MongoDB

MongoDB World 2019: Data Digital Decoupling

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