Analytics and Your Innovation Lab

Jill Dyché, Vice President, SAS Best Practices

@JillDyche

The application of unorthodox

thinking to business

opportunities.

Innovation Labs CREATIVITY VS. INNOVATION

The Analytics Pyramid

(CIRCA 2000)

BUSINESS

USERS

Strong Hypothesis

POWER USERS

Moderate Hypothesis

KNOWLEDGE

WORKERS

Mild Hypothesis

STATISTICIANS

No Hypothesis

standard reports

modeling/segmentation

knowledge

discovery

multi-dimensional

END USERS© 2015 The New IT: How Technology Leaders Are Enabling Business Strategy in the Digital Age (McGraw Hill)

3. Design4. Build

5. Test &

Refine

8-phase innovation chain

1. The Big Idea

2. Discover

6. Deliver 8. Monitor7. Monetize

ANALYTICS 1:

How viable is this idea?

Have we ever tried

anything like it? What

would the cost be? The

ROI? Will it enhance our

brand with our targeted

markets?

ANALYTICS 2: How

will it work? How

will it look?

ANALYTICS 3:

Does it work that way?

Does it look like that?

ANALYTICS 4:

What are the components? How

do we source them? How do we

put them together?

ANALYTICS 5:

Does it work?

Could it work

better?

ANALYTICS 6: Who

gets it? Through

which channel?

ANALYTICS 7:

How is it doing? Is it

saving us money? Is it

generating revenue?

ANALYTICS 8:

How should we modify the

design? The construction

process? The delivery

channel?

Jill.Dyche@SAS.com @jilldyche 818.906.7638

Thanks!