2. Introduction
“It is not only about finding what you are looking for,
It is about finding interesting information you did not know existed.”
Historically, most Knowledge Management tools did not fully delivered on their promises for one main
reason: lack of large organization adoption and user engagement. Elqano gets to the heart of this by
delivering a solution uniquely focused on users’ needs and behaviors.
Elqano brings a paradigm shift in the Knowledge Management Industry: instead of asking employees
to search and share information, we use artificial intelligence to push the right knowledge, to the right
employee, at the right time.
Our algorithm uses machine learning to analyze and classify text and information contained in your
existing documents and to identify each employee role in the organization. It then pushes the
relevant content recommendation personalized to each employee thought our social network
designed interface.
Where Knowledge finds People
3. How it all started
Why do we still need random coffee conversations?
Why couldn’t she find it in one click?
Coffee machine as knowledge sharing tool
• A colleague is asked to do a marketing recommendation.
• After 2 months putting together data and research.
• She realizes that a similar analysis was already done by a different team.
• She could have saved a lot of time.
• She was missing insights in her recommendation.
Lost productivity
Lost business opportunity
4. 3 Problems
She searched but did not find it
She did not think this could have existed
The team did not share the recommendation
Search
Explore
Share
5. Ultra Fast Search
Organization Adoption
Elqano Ecosystem
Share in one click
Engage/Comment
Unique Search
Technology
Explore
Recommended
Documents
Extreme User Driven
Design
Machine
Learning
Nudge
ChatBot
6. The Bill
3 000 knowledge workers
4 000 $ / months
19% of time
12 months
27 million $ / year
Information Overload
5
MB 19%
are produced everyday
by a knowledge worker
of work weeks are spent
searching for information
60%
of knowledge workers impacted
on work performance
Source : McKinsey Institute, LexisNexis
25% reduction of time searching = 7 million $ /year
in productivity savings
Where Knowledge finds People
7. Why KM tools failed?
Employees
Consumers Tech Users
Impatient habits, click averse.
Looking for intuitive, intelligent, personalized solutions.
Low user adoption of new tools
« Our internal adoption rate for knowledge
management is roughly 14%, and that number
is high by industry standards»
PwC Head of Knowledge
Where Knowledge finds People
8. Where Knowledge Finds People
Imagine an intelligent Knowledge Management software,
when you connect, it proposes you the interesting internal documents you need
before you even start searching for anything.
Where Knowledge finds People
9. Product
Where Knowledge finds People
An employee is working on a new e-
commerce project in China.
When connecting to the tool, he
automatically sees the most
interesting internal documents on
similar projects done by other BUs.
(with tags digital sales, ecommerce,
china, Asia …)
digital Sales, China
e-commerce,China
e-commerce,China
10. Product
Where Knowledge finds People
He can also :
1. Refine the selection of documents
by adding tag filter.
2. Read automatic summaries of
document and see quick preview.
3. Comment documents and ask
questions
1
3
2
11. Elqano Sequence
Where Knowledge finds People
Feed inputs :
interesting
repositories,
templates,
business
hierarchies,
tag list
Automatic
tagging of
existing
internal
documents
Automatic
tagging of
users and
profile
definition
Recommend
the right
documents to
the right users
Large
organization
adoption of
tool
Automatic
Dissemination
of tacit
knowledge
and Know-
How assets
Deployme
nt
D + 45 D + 90D - 30D - 45D - 60
ProductionProcessingBusiness mapping
12. Synchronization Technology
Existing KM tools
Synchronization Bot
Knowledge Engine
Elqano Interface
Synchronization of selected repertories and templates every 12H
Where Knowledge finds People
13. Automatic Tagging Technology
Custom augmented taxonomy
Distributed search engine
Natural Language Processing
Semantic analysis
Machine Learning
Correlation algorithms
Pyramidal organization of documents and employees
Document and employees grouped in multiple tags
Where Knowledge finds People
14. We use Machine Learning to establish
correlations between tags, documents
and employee to assign 5 tags to each
employee.
We assign the 12 most relevant
tags for each document based
on the ranking.
We categories and rank these
tags based on Term Frequency,
Inverse Doc. Frequency, Term
Position, Field-length norm,
Sum of “child tag” Rank …
We analyse text with NLP and
semantic analysis and recognize
on average 50 tags /document.
Where Knowledge finds People
We create a custom
graph/taxonomy for each
customer with up to 10 000 tags
taking in account customer
specific business structure,
acronyms, product hierarchy.
Automatic Tagging Process
15. Pilot Project Implementation Process
Phase 1 : Business mapping and testing (2 – 4 weeks)
• Definition of categories, tags and dependencies. Choice of document source and templates.
• Set up of a demo account and testing by end users.
Phase 2 : Integration (2 weeks)
• Full synchronization with document source (SharePoint, Google Drive …).
• Testing of access permission reflection and indexation on a sample of documents.
Phase 3 : Deployment (2 weeks)
• Email with video. Integrated 2 min on-boarded embedded in Elqano app.
• 4 sessions of live training and Q&A in major offices.
Phase 4 : Hyper-care (3 months)
• Weekly webinar for users to ask questions and provide feedback.
• Monthly status to leadership team with KPI analysis on adoption progress.
On Going : Quarterly business updates
• Usage statistics : Monthly Active Users, request / user, average finding time…
• Business trends : trending tags, most popular offering by industry, client, service, country…
Where Knowledge finds People
16. Results
88% < 30
sec
Tagging relevance
(above industry standards)
Time to find an interesting document
97%
User Satisfaction
Most Common Use Cases :
Facilitate On Boarding and hand overs when change of role
Avoid employee time waist on a project when a similar work has been done by another business unit
Connect employees working on similar projects in different divisions / business units
Enable better decision making with quick overview of past decisions
Share easily success stories and push them to the right people
Where Knowledge finds People
17. Package
o Automatic Tagging from Custom Classification
(tags, synonyms, translations, dependencies)
o Automatic Summaries
o New tag extraction (tag cloud)
o Instantaneous tag filter
o Document preview
o Top 10 documents Weekly Email
o Personalized ranking
o Follow tags and receive notifications
o Document recommendations
o Integrated Microsoft Teams ChatBot
o Nudge to engage
o Comment documents
Search
Explore
Share
Maintenance
Reduce time wasted searching information
Push Knowledge to employees
Build more Knowledge in database
o KPI Dashboard
o Health Check Report
o Edit Tags and synonyms
o Edit dependencies
o Tag Cloud “Drag & Drop”
Support Outcome
o Implementation : Video, Training, Hyper-care, KPI
o SLA 4 business hours response time for critical bugs
o Quarterly Business Report
Security
o Single Sign On
o Site/Group permission reflection
o Servers in Europe
o Encrypted Data
o Crawling every 12 hours
Where Knowledge finds People
18. Conclusion
“It is not only about finding what you are looking for,
It is about finding interesting information you did not know existed.”
We want to shape the future of knowledge management to enable our customers to leverage their knowledge assets
competitive advantage, innovate and make great products.
Elqano enables any company to become a work place where workers are instantly connected to the knowledge they
need and where workers leaving the company or changing role does not translate into lost knowledge.
This newly created network across teams, departments and countries increases productivity, boosts the bottom line
and improves employee satisfaction.
Where Knowledge finds People
19. Where Knowledge finds People
'Our knowledge is the amassed thought and experience of
innumerable minds.’
Emerson