According to new Nuxeo research, UK Financial Services firms are storing critical customer information and content - on average - across nine different systems. Additionally, 80% of respondents indicated that their information systems also aren’t integrated.
Not only does this have a significant impact on operational efficiency, it is also negatively impacting customers’ experiences as well. And with the specter of GDPR and other consumer privacy legislation looming, many organisations are finding it impossible to respond to these regulations and resulting customer inquiries.
In this webinar, we will share real-life examples of how leading financial services organisations - like ABN Amro, one of the Netherlands largest and most progressive banks - have modernised their legacy information systems to use data and content in new and innovative ways to deliver more value to their customers, reduce technology costs, and transform their businesses.
What you’ll learn:
- Why current information management strategies make financial services less competitive
- How to bridge information silos to enhance your customer experience
- Methods to improve decision-making with intelligent information
- How other top banks and insurers have already modernised their information management systems and what benefits they are experiencing
- How AI can provide greater automation and insight into financial services processes
- And, new ways to better comply with regulations
Our panelist will discuss common information management challenges that legacy systems pose, and how to intelligently modernise existing systems to support digital transformation, take advantage of new cloud technologies, and gain a competitive advantage in today’s financial services market.
2. Top 50 banks now pledged to some form
of customer experience transformation
Lifetime profitability of a
satisfied customer
“The implementation of GDPR in 2018 was an inflection point with its emphasis on
compliance and transparency.”
Customers secured by
FinTech startup Revolut
with no advertising
42% 42%Difficulty in
accessing data
Limitations of
technology
Think mobile experience is good
Welcome to
the “Age of
Experience”
3. Organization’s systems are not fully connected to each other
Time spent daily looking for information
See the potential
of AI to automate
mundane tasks
*Results of a November 2019 survey of UK Financial Services companies
Believe their
organization lacks the
skills to capitalize on AI
Average
number
of solutions
60% 60%
And yet, the
same
information
challenges
from 20 years
ago…
5. The Foundation for an Engaging
Customer Journey
5
Source: McKinsey & Company (2018)
Launch new
products &
services
Streamline &
automate
Personalized
offers
Transact
seamlessly
Streamline &
automate
Mobile
Personalized
communications
Self-service
Mobile
See what the
customer sees
Immediate
access to
information
Self-service
10. Silos aren’t
Going Away
Information silos are a reality of the
modern workplace
Content-centric apps are multiplying
and many offer rich user experiences
People will continue to use apps and
services that make them more
productive
The legacy approach was to put
everything in one repository
Clearly, this is not a viable approach
for modern content management
11. Establishing an
Enterprise Service
11
Applications
Content/Case
Management
Solutions
Business &
Productivity Apps
Mobile Apps &
Services
…
Content Services Platform
Content Models &
Lifecycles
Content
Delivery
AI/ML &
Enrichment
Enterprise Case
Management
Data Model
Security
& Audit
Query
& Search
Ingestion
Universal Data Model
Comprehensive API
Data & File Storage
Legacy ECM
Amazon S3 &
Glacier
EFSS …
Establish a common service for content,
regardless of where it is stored
⁃ Single API for access to content
⁃ Standard data model
Deliver information when, where and
how it is needed
⁃ Support mobile access and customer
self-service use cases
⁃ Access to content in the “context” of the
work users are performing
⁃ Rapidly develop purpose-built content &
case management applications
14. What Types of Business
Problems does AI Solve?
14
InsightExtract Automate
15. Public Cloud Services
for AI…
0001000111010111
1000111010111010
1110101100110011
1010110011100011
1100110010111001
Pretrained machine learning models
Provide commodity services:
⁃ OCR/ICR
⁃ Sentiment analysis
⁃ Translation
⁃ Transcription (speech-to-text)
⁃ Facial/celebrity recognition
⁃ Etc.
Stackable or stand-alone
Look for standardized approach to
connect
Beware the law of large numbers
16. Land Vehicle Vehicle Car Motor Vehicle
Transport Parking Mode of Transport Van
Automotive Tire Bumper MinivanTire
Sport Utility Vehicle Family Car
Vehicle Registration Plate
Chevrolet Tahoe
Asphalt Gas Minibus
Generic Services = Generic Data
Note: Depicts actual data generated from accident image by Google Cloud Vision API service
Demos ability of AI/ML to
apply data to assets
Generally useful in
increasing findability and
reuse
Relevancy and accuracy of
the model is inherently
limited
1
2
3
Model returns a set of labels
lacking business-critical
data elements
4
17. Custom ML Models =
Business-Specific Data
Brand: Chevrolet
Model: Tahoe
License St.: Illinois
License No.: K24 1771
Custom models produce much
more relevant data values1
True entity extraction
enables workflow
automation
2
Business value inherently
increases with specificity of
the data generated
3
Veh. Color: Gold Mist Metallic
Brand: Dodge
Model: Ram Van
License St.: Illinois
License No.: XXX 8242
Veh. Color: Bright White
Operator: John Smith
18. Bridging Information Silos
18
Master Metadata Model
Metadata A
Metadata B
Metadata C
Metadata D
Metadata E
Metadata F
System 1 System 2 System 3 System 4 System n
Metadata A
Metadata B
Metadata C
Metadata D
Metadata E
Metadata A
Metadata B
Metadata C
Metadata D
Metadata E
Metadata A
Metadata B
Metadata C
Metadata D
Metadata E
Metadata A
Metadata B
Metadata C
Metadata D
Metadata E
Metadata A
Metadata B
Metadata C
Metadata D
Metadata E
19. Intelligent Automation for
Onboarding
19
What form
is it?
Is it complete?
Has it been
signed?
Form
Processing
Yes
No
1 Classification
2 Exception handling
3 Entity extraction
4 Intelligent routing
21. 21
The Simple
Promise of AI
Understand content and
data as well as a
knowledgeable human,
but at scale.
Predictively deliver
information
Identify outlying data
points
Analyze usage &
importance
Recognize patterns &
connections
23. Current Compliance
Mandates
General Data Protection Regulation
(GDPR)
California Consumer Privacy Act of 2018
Insurance Conduct of Business (UK)
ADA, UK Equality Act, EU Codes
“GDPR went into effect in May 2018
and requires consent from
consumers before their data may be
used. Among numerous protections,
consumers will need to be informed if
their data is moved outside the
European Union, have the right to
be “forgotten,” and will be given a
chance to contest the use of
automated algorithms.
Violations come with serious fines—
up to 4 percent of a company’s
worldwide net sales.
- Deloitte, 2019 Insurance Outlook
24. Legacy Customer Communications
24
Old products with
outdated architectures
Not designed for
mobile form factors
Difficult to integrate
Expensive to operate &
maintain
Not cloud friendly
Cannot address
modern compliance
mandates
25. Customer Communications
in the Cloud
“The traditional drivers of cloud computing—cost savings and pay-as-you-consume contracts—will
likely continue to push usage. Yet the next round of adoption will likely be driven by other key
benefits that cloud offers—namely speed, flexibility, and scalability.”
- Deloitte, 2019 Insurance Outlook
Solution 2Solution 1 Solution 3
KafkaNoSQL Elasticsearch
Content Applications
Nuxeo Content Platform
Library ServicesAnalytic Services Process Services
Security & AuditData Model Query & Search
Bulk Load
Framework
RESTful API
CCM Gateway
Index
Transform
Capture
Load
Burst
28. Future-Proofing a Top
UK Bank
Challenges
Volume of documents across
different locations & systems
Security & regulatory
compliance mandates
Lack of resource to develop
homegrown solution
Rapid growth further
exacerbating issues
Benefits
Substantial cost reduction
New mobile app for
personalized statement
delivery
Prompt response to Subject
Access Requests (SARs)
Foundation for ongoing
digital transformation
(agile/DevOps)
Solution with Nuxeo
Migrate 2.5B documents
Replace legacy ECM
systems
Seamlessly integrate to
existing customer service
systems
29. Breaking Down Silos to
Improve CX
Challenges
Build sustainable client
relationships
Multiple instances of legacy
ECM solution – siloed with
different UIs, data models,
repositories
Difficult to integrate with
existing IT landscape
Benefits
“We’re now able to
harmonise our IM landscape,
which is incredibly valuable
because it enables us to
better managed and utilize
information for a better
customer experience.”
Substantial cost reduction
Compliance with GDPR
Solution with Nuxeo
Migrate 1B+ documents
Replace multiple legacy ECM
systems
Manage voice, chat, audio &
other rich media
31. Thank you for your time today!
Read the complimentary 2020 Aragon Research
Globe report to help you evaluate vendors’ ability
to deliver Enterprise Content Platforms that
enable and empower digital business.
https://www.nuxeo.com/resources/aragon-ecp-report/
Thank you
Editor's Notes
Today, going to move very quickly:
Start with some common challenges facing our financial services customers
A short primer on AI + modern content management
Then, hopefully, we’ll tie it all together with a customer case study (and leave time for questions at the end)
Sources:
McKinsey & Company, “Managing a customer-experience transformation in banking” (2018)
Fixextra, “Five Customer Experience Trends That Will Lead The Banking Transformation in 2019 and Beyond” (2019)
Adobe/Econsultancy “2020 Digital Trends” report (2019)
Temkin Group, “State of CX Management” (2017)
In spite of the clear benefits of an enhanced customer experience, companies continue to prioritize productivity transformation over CX transformation
8/10 organizations say their systems aren’t fully integrated
9 is the average number of IM solutions for these orgs.
Too many systems, not connected = a hour, on average, every day spent looking for information
Many see the potential for AI, but worry they’re not in a position to capitalize on it
Same questions 20 years ago, same answers
Work more efficiently, take cost out of the organization. Better, faster decisions.
Enhance their customer experience.
Move to the cloud (cost/complexity, but also new capabilities)
Compliance (never going away, but also new requirements: CCPA/GDPR)
Work more efficiently, take cost out of the organization. Better, faster decisions.
Enhance their customer experience.
Move to the cloud (cost/complexity, but also new capabilities)
Compliance (never going away, but also new requirements: CCPA/GDPR)
Diversity of content types has exploded
Scale (100s of millions) – SMS/email/customer communications (250M/month)
Tooling (video = renditions, annotations, time-based assets, etc.)
And, data enrichment (not self-describing, like documents w/ full-text indexing and search, which isn’t always that effective anyway)
Other modern challenges:
Delivery and consumption on mobile devices
Contribution via mobile apps (user expectations have changed)
Data sovereignty and data locality requirements
Etc.
The real issue is that it is silo’d and, in many cases, almost impossible to find. And these silos aren’t going away:
Information silos are a reality of the modern workplace
Content-centric apps are multiplying and many offer rich user experiences
People will continue to use apps and services that make them more productive
The ECM approach was to put everything in one repository
Clearly, this is not a viable approachfor modern content management
Work more efficiently, take cost out of the organization. Better, faster decisions.
Enhance their customer experience.
Move to the cloud (cost/complexity, but also new capabilities)
Compliance (never going away, but also new requirements: CCPA/GDPR)
Content management has always been about data (not content). Easy to store a document, it’s hard to do it well.
Content needs to be:
Readily accessible (easy to find)
Contextual (use it to perform work)
Available anywhere (mobile devices and now, remote working)
Compliant and secure
Data makes this possible.
Bottom line, information should be instantly available to the people who need it and have the right to access it.
Examples:
We use Amazon Textract for OCR/ICR services
We use Google Vision to read license plates in our insurance demos
We use Amazon Transcribe to subtitle videos
Public cloud services have their role to play, but also be mindful of their limitations…
Two things to note here:
Much more accurate data
Not tagging, full entity extraction (i.e. brand = Chevrolet)
Why is this important? This is how you automate a process. Can’t do this with tags.
Can we do this today? Absolutely.
Nuxeo Insight – Service that allows our customers to train their own models using their own content and data
Bridging across repositories (remember our initial survey)
Retention management (huge use case for CMOD customers…talk more about this in a moment)
60% of inbound forms are handwritten
But you say: Chris, wait, we’ve been doing forms processing for years…
Yes, but this content isn’t just in the mailroom anymore. Come from anywhere in the organization (email, text, social…need an enterprise service, not a mailroom scanning operation)
Work more efficiently, take cost out of the organization. Better, faster decisions.
Enhance their customer experience.
Move to the cloud (cost/complexity, but also new capabilities)
Compliance (never going away, but also new requirements: CCPA/GDPR)
California Consumer Privacy Act of 2018
15 other US states currently considering similar legislation
Now I am going to tell you some things that you already know:
CMOD is old (no innovation)
CMOD is expensive
Mainframes are expensive
Mainframes are not cloud friendly
Mainframes are not mobile-device friendly
Mainframes aren’t friendly period
And CMOD is not compliant with GDPR or CCPA
Talking to a customer right now who is spending $15M annually on legacy tech.
With Crawford, we offer a solution to move content from CMOD to Nuxeo:
Only Crawford partner that can store and serve both native AFP and converted PDF documents (your choice)
Say this again…
By the way, with Crawford, also enables us overwrite AFP to delete customer information
And, odds are, you’re keeping a lot of data you don’t need to (most customers = no retention policies)
Seeing this use case all over the place: large banks, large insurers, large healthcare companies – all looking for a solution to get off of CMOD/Mobius
Bottom line:
CCM content can’t be its own silo anymore (integrate into your customer experience)
We have to be able to access AND delete individual customer comms.
Applying retention policies is a GOOD thing (AI opportunity)
Reduce risk (not keeping content you don’t have to) and GREATLY reduce cost