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Predictive Knowledge Sharing
Ask questions. Get answers. Share knowledge.
Problem
Getting people to change is hard!
•You train people… they forget
•You invest in technology & resources for
people… they don’t use them
•You make experts available to help people…
yet they ask the same questions over and over
Expensive Consequences
Taxing
your best
people
High
(re)training
costs
Low
Internal ROI
for tech
In a perfect world…
Everyone would have perfect recall
from training and they’d put
best-practices to work immediately
Everyone would know where to turn
when they had job-critical questions
…and when you need people to
adopt a new practice, it would ripple
through your company like a virus
Kaleo Solution
Predictive knowledge sharing
1. Enterprise-wide Q&A application provides
self–service, generates ’know-how’ repository
and relieves pressure on Subject Matter
Experts
1. Machine learning looks for knowledge
sharing patterns in the data
1. Emails and alerts intelligently send answers
to other employees even before they ask
Collect
AnalyzeShare
A: FXP SPOC in Las
Vegas is John Smith.
Click here for a full list of
SPOCs.
How it works
Q&A Connects Employee, Expert & Content
Q: Who is the FXP
SPOC in Las
Vegas?
?
A
How it works
Q&A Connects Employee, Expert & Content
PEOPLE
TRIGGERS
ROLE
TENURE
REGION
RE-ORG
NEW SYS
NEW EMP
Q&A
KEY WORDS
NET NEW
TAGS
M&A
DIVISION
TRENDS
MOST
VIEWED
How it works
Machine Learning
PEOPLE
TRIGGERS
Q&A
TENURE
RE-ORG
M&A
NEW SYS
NEW EMP
KEY WORDS
NET NEW
TAGS
Northeast
Q21,98
MOST
VIEWED
How it works
Identifies Patterns
Analyst
DIVISION
How it works
Sharing Answers Drives Adoption
From: John
To: AskKaleo@KaleoSoftware.com
Where can i find an I-9?
How it works
Sharing Answers Drives Adoption
Available everywhere you work
• Email, Text
• Embedded search
(e.g., SharePoint,
Slack, Chatter,
SAP)
• Mobile application
• Web application
• Web API
Customer Snapshots
Toyota (TFS)
• Moving HQ from LA to Plano, expecting 70% attrition
• Captured 2,000 knowledge base entries so far
• Pushing 2,000+ questions to self-serve /month
• 250% ROI to-date
Viacom
• SAP application support costs too high
• Captured 10,000 knowledge base entries so far
• Pushing 8,500+ questions to self-serve /month
• Reduced support staff from 40 to 4
• 1,300% direct ROI to-date
Breaking down adoption barriers so
your business can move faster
More
engaged
workforce
Higher ROI
on
technology
investments
Lower training
& support
costs
Predictive Knowledge Sharing - Kaleo

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Predictive Knowledge Sharing - Kaleo

Editor's Notes

  1. It’s hard to get people to do new things. You train them and they forget. You write documents for them - and store them neatly in <Sharepoint> - and they won’t go look for them, let alone read them. And you put support systems in place but get the same questions over and over. We fix this. We’re in the business of solving adoption problems like these with a predictive knowledge sharing application. Employees ask questions, we find the answers and as we learn we begin to share new answers with people, even before they ask.
  2. These changes are happening now and will get worse over the next 5 years. A big question is, how do we facilitate the culture shift from, 'knowledge is power' to ‘shared knowledge is power’?
  3. Sure, you could just carry on and ignore the problems but that comes with consequences: Massive ticket duplication is driving up support costs - humans spending too much time answering the same questions and not getting to the more complex ones that actually will require some work. Your ticketing system’s solution is more tickets, faster. We ask, why should redundant question cause tickets to be created at all? Kaleo first, then call. The demographic dominating your workforce today is social, impatient, expects easy access to discover things for themselves and they want to feel engaged. If you can’t do this, you won’t attract and retain the most talented people – they have choices. Lets not forget the retiring demographic. All that institutional knowledge walking out the door is costing you. Maybe not hard dollars but every time a lesson is re-learned or a mistake made again, there’s a huge opportunity cost to the organization.
  4. In a perfect world… Every employee would know exactly who to ask when they had job-critical questions All of your most experienced would workers document those processes they’ve committed to muscle memory over the years Your expert community would never have to answer the same question twice, rather focus their attention on solving new problems to push the collective knowledge base forward
  5. In a perfect world… Every employee would know exactly who to ask when they had job-critical questions All of your most experienced would workers document those processes they’ve committed to muscle memory over the years Your expert community would never have to answer the same question twice, rather focus their attention on solving new problems to push the collective knowledge base forward
  6. In a perfect world… Every employee would know exactly who to ask when they had job-critical questions All of your most experienced would workers document those processes they’ve committed to muscle memory over the years Your expert community would never have to answer the same question twice, rather focus their attention on solving new problems to push the collective knowledge base forward
  7. In a perfect world… Every employee would know exactly who to ask when they had job-critical questions All of your most experienced would workers document those processes they’ve committed to muscle memory over the years Your expert community would never have to answer the same question twice, rather focus their attention on solving new problems to push the collective knowledge base forward