Data Robotics: Driving efficiency and value in financial services

1. DATA ROBOTICS
DRIVING EFFICIENCY
AND VALUE
IN FINANCIAL SERVICES
DATA ROBOTICS MASTER WORKSHOP
SOLUTIONS FOR FINANCE – INSURANCE – BANKING
BRUSSELS – PARIS – LUXEMBOURG

2. Data Robotics is emerging as a disruptive technology aimed at improving
productivity and efficiency in financial services. This exciting technology is
based on a new level of process automation enabled by artificial intelligence,
self-learning technologies and cognitive computing.
Data Robots are capable of identifying new solutions to resolve process
bottlenecks, analyse and structure business data as well as perform predictable
and recurring tasks. They are designed on an innovative machine learning
approach and thus are able to independently make complex decisions, provide
judgement and feedback and create new knowledge.
Data Robotics offers great possibilities for the financial sector in areas of cost-
saving, efficiency improvement, and scalability; pushing organisations to revise
their business model in preparation for the digital future.
TYPES OF DATA ROBOTS
Open Reply enables innovation across the entire Go-To-Market Strategy and Execution
cycle with expertise in Product Development and Build, Digital Marketing and E-commerce. As
e-finance specialists, we also help organisations become ‘fit to play’ in the new digital era. We
are specialised in Digital Transformation and FinTech innovation. We work with leading financial
institutions to drive and implement change. We have developed our own technologies and act
as preferred partners for some of the world’s largest brands. We provide agnostic advice on
best technology fit and support organisations throughout the implementation process.
ROBOTIC PROCESS AUTOMATION IS HERE
ROBOT
THAT
EXECUTES
ROBOT
THAT
THINKS &
EXECUTES
ROBOT
THAT
LEARNS,
THINKS &
EXECUTES
BUSINESS RULES,
REPEATABLE
INTERPRETATION,
EMPATHY
INTERACTION,
JUDGEMENT
Data collection
Data preparation
Speed recognition
Robotics process
automation (RPA)
Emotional recognition
Predictive APIs
Context aware
Natural language
processing
Artificial Intelligence
Cognitive computing
Machine learning
Virtual customer
assistants

3. CHATBOTS
PREDICTIVE ENGINES
PROACTIVE MAINTENANCE
PROCESS AUTOMATION
RECOMMENDATION SYSTEMS
OPEN REPLY SERVICES IN DATA ROBOTICS
New account verification
Data validation
Customer account management
Financial claims processing
Report creation and analysis
Change of address processing
Loan application processing
DATA ROBOTIZED PROCESSES FOR INDUSTRY
FINANCE & BANKING INSURANCE
Underwriting
Reconciliation of proceeds/outflows
Fraud detection
Claim opening and settlement
Debt collection
Analysis of non-standard policies
Life after-sales
OPEN REPLY OFFER PORTFOLIO
Smart DATA focused on core processes
Use of AGILE methodology for a fast value gain
Continuous Training management to deliver top accuracy
Complex toolkit of smart mixable resources to build value automation
Innovation platforms adoption and custom development for best integration
Implement smart solutions to solve regular and reoccurring tasks
and problems based on the machine learning approach
Use intelligent software to make smart suggestions on the
products and services that your customers might be interested in
Prompt your customers to engage with you in a meaningful way
using smart dialog systems for on-demand customer service
Provide real-time intelligence by injecting search technologies
and dashboards into your enterprise information management systems
Maintain the reliability and efficiency of company technology
by anticipating and dealing with problems before they occur

4. ASTRID FROIDURE
Associate Partner
a.froidure@reply.com
STRESS TESTING USE CASE
Annual stress testing exercises help banks model the impact of severe economic
scenarios on their balance sheets, regulatory capital and liquidity. In practice, these
exercises are very time consuming, resource intensive, complex and cumbersome.
Thus banks are desperate to find more efficient ways to perform stress testing and
other regulatory driven processes. Data Robotics can be utilized in order to reduce
time and cost consumption while delivering real value from the exercise by creating
additional analytics, and freeing up the time to evaluate results, draw insights, and
feed into business decision making.
RISK REPORTING USE CASE
Banks typically store risk data in a vast multitude of source systems and deploy
many process for extraction, consolidation and reporting. While internal risk
reporting typically involves hundreds of reports built up over time, there has also
been a proliferation in regulatory reporting as well, which uses much of the same
data and is becoming more voluminous, granular and frequent. Most banks have
a strategic architecture vision involving some sort of consolidated data warehouse
from which to draw all risk data necessary for all forms of reporting, but achieving
this vision is time consuming and expensive and practically difficult when the
reporting goals keep being shifted by regulators. Implementing a data robotics
solution for sourcing, extracting, aggregating, analysing and reporting risk data
could be architecture/ platform independent, and therefore a practical way to speed
up reporting processes while making them more robust and reliable. The efficiency
gains will reduce costs but also increase the time available for analysis and insight
generation, making reporting a more valuable function for the business.
OPEN REPLY LOCATIONS
CONTACT US TO FIND OUT
HOW DATA ROBOTICS CAN
BENEFIT YOUR BUSINESS:
BUSINESS
CASE
FUNCTIONAL
ANALYSIS
PRODUCT
DEMOS
+32 2 880 03 20
CONTACT US
5 Rue du Congrès
1000 Brussels, Belgium
+32 (0) 2 880 03 20
21-25 allée Scheffer
L-2570, Luxembourg
+352 621 834 796
3 Rue du Faubourg Saint Honoré
75008 Paris, France
+33 (0) 6 21 71 07 59
BELGIUM LUXEMBOURGFRANCE