A BearingPoint Accelerator

1. Business in Motion
with Data at Rest
A BearingPoint Accelerator
Today‘s fast-paced business environments make it necessary to process “data in
motion” to keep pace with fast growing digital business models.
Leverage the power of event-centric data processing to fulfill the needs of your
digital business to be ready for future business models and growth.
React to business transaction related information in real-time – faster and more
accurate than your competition.

2. Contents
Market Drivers
Our Approach
Client Benefits
References
Contact
Business in Motion with Data at Rest | A BearingPoint Accelerator

3. Business in Motion with Data at Rest | A BearingPoint Accelerator
Bringing your data in motion accelerates your growth by supporting the key drivers for digital business.
Global CEO’s see growth in their top business priority and digital business as a top driver for it.
Market Drivers
Leveraging the power of modern
technologies like IoT and
integrate your real-time IoT data
into your existing business models
Increasing your customer
experience providing contextual
and individual information in real-time
Accelerate growth by
Automating business
process steps by smart
combination of event
information
Speeding up your decision
making and process run-times
by using and visualizing your
data in motion
Enabling and implementing
business moments based on
real-time streams of data and
contextual information

4. Business in Motion with Data at Rest | A BearingPoint Accelerator
Market Drivers
Driven by ongoing digitalization, the amount of data created by business transactions within enterprises
is rising rapidly. Most of this data is only used in the context of the initial business interaction and further
analytics or evaluations are only executed time-shifted when the interactions of their origin are already
completed. When different streams of data can only be combined in such time-shifted way it is not possible
to react on insights in real-time. This “data at rest” has a huge unutilized potential for digital business
scenarios.
An event-centric approach for data processing can help to get this data in motion and to accelerate digital
business models. Processing the streams of events in real-time enables innovation and supports enterprises
to stay ahead of their competition by increasing revenue, saving costs and mitigating risks.
Market Drivers

5. Business in Motion with Data at Rest | A BearingPoint Accelerator
Data in Motion with event-centric data processing
In traditional IT architectures the focus is on data itself. Data produced by any system is stored for transactional purposes only and gets off-loaded for time-shifted
analytics. This limits the possibility of connecting different data sources and types in real-time. With an event-centric approach the business event itself get moved
into focus. Not only the transactional data, also the circumstance which produced it, gets recorded and processed. This approach enables enterprises to gain real-time
insights from their business moments and react on them accordingly and timeously.
IOT Devices
Business
processes
Customer
Interactions
…
GPS location
changed
Device
connected
Truck slowed
down
User entered
shop
Order
placed
Balance
exhausted
Product
arrived
Transaction
completed
User viewed
product
User
logged in
Service case
created
Product
bought
Process
exception
Invoice
created
Transaction
failed
Bad QoS
detected
Event Streaming Platform
Process streams of events
(Real-Time Data)
Historical
Data
Gain contextual
insights and knowledge
in real-time
React in real-time
and improve your
business
Record events from the whole enterprise directly when
„things happen“ and stream them to the event streaming
platform in real-time.
Combine events with themselves
as well as with historical and
transactional data to gain insights
Use the gained knowledge to
Accelerate the contextual
exchange of information between
IT systems
Event examples
Market Drivers

6. Business in Motion with Data at Rest | A BearingPoint Accelerator
Get in touch and understand event streams
Identify areas of interest for event-centric data
processing and choose one simple scenario and
implement an MVP (minimal viable product) for it.
Establish event streams in key parts of your
enterprise to get your data in motion
Select and implement a central event streaming
platform and begin the journey of data in motion
by adding event streams from different areas to it
and start with simple event-centric data processing
scenarios like real-time process visualization or
real-time decision support to gain business value.
Harvest the benefits of event streaming by
using the full potential of your
event streaming platform
Establish event streaming in all areas of your
enterprise and start to leverage the full potential
of your event streams by investigating and
implementing more complex scenarios like stream
analytics, business moments or real-time situation
awareness during a customer interaction.
At this level the event streams act as the
backbone of your enterprise data flow involving
all departments and processes.
Entry Level: Set up a small MVP
to identify and implement one
simple scenario
Intermediate Level: Establish event-centric
data processing in more areas and introduce
a central event streaming platform
Master Class: Leverage the full power of
event-streams by combining them
through more complex analyticsValue
Investment & Time
To get your data in motion by thinking in continuous event streams instead of transactional and
analytical processes can be a tough challenge for traditional enterprises. BearingPoint’s approach
helps to ease this challenge by climbing up the maturity levels in an agile and iterative way. This
approach enables a low-risk transition towards an event-centric data processing combined with
continuous value generation.

7. Business in Motion with Data at Rest | A BearingPoint Accelerator
Our LUCIE Approach is designed to help enterprises to accomplish the Entry Level as easy as possible.
The approach can also be applied in an iterative process to pave the way to the Intermediate Level and
even to Master Class.
Listen & Understand
• Listen to the client carefully and distill the right areas
to get started with event streaming
• Identify and define suitable simple event streaming
scenarios within the selected areas
• Build a common understanding of the right problem
which should be enhanced using event centric data
processing
• Choose and refine a simple scenario which should get
implemented using an MVP (minimal viable product)
approach
• Create outcome variants for the selected scenario using
event-centric data processing:
• Define which event streams are necessary, how the
ingestions can work and how they must be set-up
• Determine how the event processing must be done to
fulfill the needs of the selected scenario
• Develop the detailed business logic which must be applied
on the events using event streaming frameworks (OSS or
licensed) depending on clients’ requirements
• Decide which variant is most appropriate for the given scenario
and its surroundings
• Implement an MVP for the selected scenario using agile
development and a cloud-based event streaming platform
Create & Implement
• Integrate the developed MVP with the
identified event streams
• Challenge the MVP if the defined scenario
and the outcome meet the expectations and
evaluate the gained benefits and business values
• Define next steps like iterative optimization
or implementation of more scenarios
Evaluate
Listen Create
Impl-
ement
Evaluate
Under-
stand
Sprints
based on BearingPoint‘s
knowledge, frameworks
and experience
Kick off
Meeting
Information
gathering
Build Common Problem
Understanding
Presentation and selection of the
suggestions & start of the implementation
Implementation completed
& Start Evaluation
Outcome
presentation

8. Business in Motion with Data at Rest | A BearingPoint Accelerator
BearingPoint uses a set of known and tested tools from agile and traditional techniques during the
whole approach to achieve an optimized progress and a business-driven outcome. Our development
frameworks provide the right building blocks for fast results.
Evaluate
Interviews The five Whys
Impact Mapping
Domain Story Telling
Story Mapping
KPIs
Impact Mapping
Reviews
Event Storming
Domain Driven Design (DDD)
Rapid Prototyping
Cloud-Native Technologies & Public Cloud Providers
BearingPoint Development Frameworks for Event Streaming
Listen Create
Impl-
ement
Evaluate
Under-
stand
Sprints
based on BearingPoint‘s
knowledge, frameworks
and experience

9. Business in Motion with Data at Rest | A BearingPoint Accelerator
The needs of your digital business emerge from 3 strategic drivers. Either it creates more value
by creating new business models, reduces risk by protecting your money or simply saves cost by
increasing your operational efficiency. Moving towards an event-centric IT architecture can help
enterprises fulfill their digital business needs.
Fulfill the needs of digital business by event-centric data processing …
… supports three main strategic drivers:
Digital Business Moments
React to unexpected or
planned business events as
they happen
Improve customer
experience and leverage the
potential of cross-sales
by creating new real-time
customer interactions
Reduce interaction and
throughput time in manual
process steps as well as
increasing the overall
process quality
Decrease business processes
runtimes by automate
decision making with in-
time detection and handling
of issues
Reduce costs or improve
customer experience by
detecting complex patterns
in your event data and react
at once
Use event-centric step-by-
step approach to reduce
costs running your
mainframe based legacy
system
Process Visualization
Support decision makers
and operators with real-
time information
Stream Analytics
Analyze huge volumes of
events “on the move”
Automated (Re)Action
and Mitigation
to process exceptions,
decisions, delays
or changes
Event-centric
Transformation
Use event data processing
to relieve data processing
on legacy systems
Make money
$
Reduce Costs
$
Make money
$ Make money
Reduce Costs
$
$ Protect money
Reduce Costs$
$
Business
potential

10. Business in Motion with Data at Rest | A BearingPoint Accelerator
References
Digital Skipper
Assistant (DSA)
Research project for the German
Ministry for Traffic and Digital
Infrastructure
„We create the shipping of
tomorrow. Digitalization
helps to make shipping
more efficient and
ecofriendly. The Digital
Skipper Assistant is the
best example for this.“
Andreas Scheuer, German Minister for
Traffic and Digital Infrastructure
Higher reliability through digitization
DSA provides a web application featuring waterway maps, points of interest,
routing functionality, ETA calculation, display of current water level predictions
and increase the reliability of route planning.
Research report for decision making
The insights from development and field test were used to create a concluding
research report for the ministry.
Digitization Roadmap for inland shipping
Due to the piloting a future development roadmap was developed which
includes a plan to make inland shipping more efficient through digitalization.
Development of a web application
A Digital Skipper Assistant (DSA) should be developed as a web application with
the goal to ease the everyday work of skippers.
Agile development of the DSA
The DSA was developed in agile 2-week sprints. Empirical knowledge and feedback
were incorporated directly in an agile manner.
Field Test
The DSA was tested in a field test with ~50 skippers. The application was
continuously maintained and enhanced during the field test.
Make inland shipping a more reliable transport mode
Compared to other transport modes inland shipping is not a growing market.
This is due to the poor reliability of forecasts and ETA. But the increasing
transport demand in Europe makes it is necessary to improve the efficiency of
all transport modes.
Effects of Technology and Digitization
Measuring how the introduction of technology and digitization can affect the
efficiency of inland shipping and have influence on other stakeholders.
The German inland shipping is intended to become more efficient through
digitalization measures. The Digital Skipper Assistant (DSA) eases the
everyday work of skippers and paves the way to the digital future.
Vision
Business
Objectives
Project
Scope
Project
Outcome

11. Business in Motion with Data at Rest | A BearingPoint Accelerator
Digital Transport
Monitoring
International acting Austrian
logistics company
The digitization of a
business process is the
breeding ground for the
creation of innovative
business ideas
More reliable Planning
Calculation of the estimated arrival time with live and historical data
improves the reliability of the planning and the delivered service.
Higher automation in monitoring
Automatic determination of entrances and exits to geopositions through
digital geofences increases the level of automation of the monitoring process.
Improved performance on whole supply chain
Dynamic evaluation of the progress along defined goals with the help of
generated events helps to signal the next process steps within the supply chain.
Rapid Prototyping
Proving and demonstrating different approaches and strategies by the
development of prototypes and proof of concepts.
Message oriented Architecture
Decoupling of systems by implementing high scalability in runtime
enabled by a reactive architecture.
Digitale Transformation
Modernization of the software landscape by decoupling data integration
of legacy systems and continuous streamlining of these applications.
Standardization
Our client’s goal is to fully automate business processes like monitoring.
Therefore, data modelling and standardization is a necessary step.
Automation
Transport Managers should focus on generating new transports and thus
increase the companies efficiency with an automated monitoring process.
Service Quality
With standardized data and an automated business process our client
wants to improve the service quality (e.g. ETA forecast) for it’s own clients.
As a service provider our client wants to increase the quality of the offered
transport monitoring services. This is achieved by the use of data and
automation
Vision
Business
Objectives
Project
Scope
Project
Outcome
References

12. Business in Motion with Data at Rest | A BearingPoint Accelerator
Contact
Bjoern Grosser
Partner
BearingPoint Austria
bjoern.grosser@bearingpoint.com
Gerald Tretter
Senior Manager
BearingPoint Austria
gerald.tretter@bearingpoint.com
About BearingPoint
BearingPoint is an independent management and technology consultancy with
European roots and a global reach. The company operates in three units: Consulting,
Solutions and Ventures. Consulting covers the advisory business; Solutions provides the
tools for successful digital transformation, regulatory technology and advanced
analytics; Ventures drives the financing and development of start-ups. BearingPoint’s
clients include many of the world’s leading companies and organizations. The firm has
a global consulting network with more than 10,000 people and supports clients in over
75 countries, engaging with them to achieve measurable and sustainable success.
For more information, please visit:
Homepage: www.bearingpoint.com
LinkedIn: www.linkedin.com/company/bearingpoint
Twitter: @BearingPoint
© 2019 BearingPoint. All rights reserved
Christian Edelsbrunner
Technology Architect
BearingPoint Austria
christian.edelsbrunner@bearingpoint.com