Every organization faces challenges such as lack of adoption of tools, and lack of alignment. Teams working in silos and content inside repositories are the biggest roadblocks to success. Predictive Knowledge Sharing helps organizations get the most out of their investments such as software, content, and expertise inside people's minds. Sales, IT and every business teams benefit from having the right information, at the right time.
3. 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
8. …and when you need people to
adopt a new practice, it would ripple
through your company like a virus
9. 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
10. 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?
?
16. Available everywhere you work
• Email, Text
• Embedded search
(e.g., SharePoint,
Slack, Chatter,
SAP)
• Mobile application
• Web application
• Web API
17. 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
18. Breaking down adoption barriers so
your business can move faster
More
engaged
workforce
Higher ROI
on
technology
investments
Lower training
& support
costs
Notes de l'éditeur
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.
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’?
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.
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
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
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
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