Incite Discovery through scaled insight discovery. This is the presentation Edwin Miller, CEO, 9Lenses made along with Jerry Overton, Head of Advanced Analytics Research in CSC’s ResearchNetwork and founder of CSC’s FutureTense competency. This presentation was made on December 2nd, 2014 at the Innovation Enterprise’s Chief Innovation Officer Summit, in New York City.
Edwin advocated for the automation of the middle-management layer of a business so that machine learning can more rapidly connect all the complexities of a business.
Jerry Overton spoke about how Data Science + Human Data allows companies to simulate new business models.
5. `
Secure, Connected, &
Actionable Data from ONE
Dashboard
Interview Unlimited Number
of Participants
Proactive Business
Solutions
Human Insight Discovery as a Product
Positive Outcomes
Data Connected Across Org
Data is Consistently Collected
Data Secured in Central Location
Org Owns its Data
No Scope Limitations &
Increased Engagement
Rapid Insight
Pulse Apps
Annually
Quarterly
Gaps,
Challenges, Etc...
Analytics &
Segmentation
INTERVIEW
Unlimited
Participants
Chosen
App
INSIGHT App Store
Patrick Lencioni
Custom Apps
Benchmark Data at the
Frequency of your
Business
OneConnectedPlatform
12. Innovate at Speed
SOURCE: CEB
Approaches to Uncovering Hidden Capacity
Constraints
HP’s use of 9Lenses
St rat egy Team Int erview s
Det ailed Work load Modeling
Consult ing Engagem ent
Analysis:
Breadt h & Dept h
Cost s:
Resources & Tim e
Low Low
Low High
High High
High Low
Time Spent on Data Collection
and Analysis
18. Now, We Predict Our Future
Our models tell us things like which skills will be used in combination. We
can predict the most effective ecosystem for any key skill.
tfs
virtualbox
qemu
kvm
asp.net
authentication
wcf
php
c#
encryption
ruby-on-rails
ubuntu
hyper-v
ruby
chef
devops-engineer
devops
hbase
hive
hadoop
pig
mongodb
nosql
r
map reduce
mysql cassandra
python
perl
puppet
19. Using Human
Data
Using Machine Data
(3)
Predict
Our Future
(4)
Choose
Our Future
(2)
Understand
the Present
(1) Gather
Data
Moneyball
Listen to Data
Beyond Moneyball
Next, We Choose Our Future
Conference slogan: “incite discovery, inspire change.”
“Insightful change” is our slightly fun reword of the conference mission. Transforming organizational change with insight from organizational intelligence.
Hook: “What’s your Return On Knowledge?” You will return to this slide at the very end.
You can give your roadmap:
Going to discuss innovation inside an organization at a micro and macro level.
Micro = approach to innovation from within your organization (e.g. social discovery).
Macro = the enterprise innovates more (e.g. API ecosystem/power of connected data).
I. First, let’s consider the nature of innovation today. It’s manual and disconnected.
Today, many of the best innovations still come from geniuses in labs. They still please some people, but others don’t get it and still others could easily improve upon the innovation. Still, it’s a good way to make money.
Traditional, manual approach
Slow - takes months (at least)
Disconnected
Inconsistent
Old data
The loudest voice wins
Not a centralized location
Not Secure - sitting on one person's laptop and used on another client or in the case of the consultant - handed off to another consulting firm
If you let the crowd be your smarts, whether inside your company or preferably around the world, connecting that information leads to far greater innovations. Then EVERYONE gets what applies to them… not just the right thing, but at the right time, in the right place, with the right tradeoff of cost and quality. That’s innovative.
I’m here to tell you about a transformative approach to organizational insights and their resulting innovations.
II. We have a few assumptions about successful innovation for the enterprise.
Assumption 1: Organizations think simplicity is an OUTCOME. That’s why even HP and GE bring in Eric Ries to give talks on the Lean Startup and tell new business units, even of 500 people, to “operate like a startup.” It is innovative, but something just doesn’t seem right if your organization actually is complex… simplicity is a MEANS.
Assumption 2: Your people are your best consultants.
- Tell stories, ask rhetorical questions
Assumption 3: Innovation isn’t predictable. You need many ideas to collide to find a better form. This is the proven way innovation happens, and it’s why innovative offices have high ceilings, open environments, and many whiteboards.
Fun line: “The Dyson vacuum wasn’t invented in a vacuum.”
III. How a 21st century platform must connect. There are TWO criteria:
Mass Openness – many ideas, connecting, segmenting, slicing, colliding. A large hedron collider for human data.
Structure – prestructuring human data makes it manageable, and allows translation to other data sources
Nobody is doing BOTH of these. It’s always one or the other.
Describe the platform
Four CSFs: speed, scale, segmentation, elicitation. Talk to each one.
Surprising Advantage: What this platform does is THE ENTIRE POINT of Middle Management. Middle Management are just a terribly manual way to do it, with all the biases of people that give it a bad rap.
Do you think Jeff Immelt is a micromanager? Probably not! He’s a visionary. But has to rely on people to tap into people down the chain.
We have to connect visionaries and deciders to the raw, unfiltered perspectives that create insightful change
IV. Some things we’ve found…
Innovation for the enterprise—right now at least—isn’t about “coming up with” ideas. There are plenty of ideas. It’s getting them into action. Too much focus on innovation misses execution.
CSC Story: tell about the Jerry Overton business model simulation data science project.
Conclusion: Enterprise complexity CAN BE an advantage, when organizational insights are connected.
So where Eric Reis is saying “be a lean startup,” enterprises just aren’t startups! They have millions more data points in their organization, which to-date has been a stumbling block. Transforming the way you discover organizational insights turns every data point into a connected idea in the collider, organized by a framework that finds insights. That’s a COMPLEXITY ADVANTAGE, and Enterprises need that.
Closing line: “Are you really harnessing the available return on knowledge inside your enterprise?”