Making the leap to next Four shifts needed to lay the foundation for your digital transformation.

It’s become a familiar story.

A young entrepreneur sells his first product for an enormous sum.

Next?

He makes incremental improvements to a range of products, leaving the world always wanting more.

At the same time, he keeps coming up with new inventions.

And he does it at a furious pace — setting the goal of a minor invention every 10 days and a major one every six months.

His name?

It’s not Yang (Yahoo), Musk (Zip2), Dorsey (Twitter) or Fadell (Nest).

Source: Henry Ford Museum, Menlo Park Museum.

It’s Thomas Edison.

Although digital has changed everything, the mindset for succeeding has not. So what’s the first shift in your digital transformation?

You need to undergo a fundamental change in the way you deliver new functionality.

Embrace innovation, continuously. A single, 18-month project that consumes IT? That’s the past.

01S H I F T

For the foreseeable future, we must be focused on achieving continuous innovation in the face of ferocious competition. To get there?

We’ll need to be experimental and focused on continuous improvement.

Just like Edison’s Menlo Park invention factory.

If we look at the growth “outliers” — the small percentage of businesses that grow by 5% or more year after year — they share a common trait.

More than other companies, the outliers act like Edison and embrace continuous innovation.

They’ve already made the jump from where many of us are now to what’s next.

Achieving continuous innovation

NOW

Big proje cts Large inve st ment

Long-t ime sp anMust- succe e d

mental i ty

Achieving continuous innovation

NOW NEXT

Big proje cts Large inve st ment

Long-t ime sp anMust- succe e d

mental i ty

Fast-fa i l mental i ty

Hundre ds of transformations acro ss the busine ss

Smal ler, i terat ive appro ache s

Shor ter t ime sp ans

Achieving continuous innovation

NOW NEXT

Big proje cts Large inve st ment

Long-t ime sp anMust- succe e d

mental i ty

Fast-fa i l mental i ty

Hundre ds of transformations acro ss the busine ss

Smal ler, i terat ive appro ache s

Shor ter t ime sp ans

GETTING TO NEXTSp e e d is everything

Infrastructure must b e ab stracte d as co de

Container izat ion i s re quire d

Every enterpr is e wi l l ne e d a “r ight mix” of hybrid IT

A change in processes is just one part of what’s needed to support continuous development.

The other part?

Giving rise to fearless innovators.

Transforming your business operations will involve more than just enterprise IT.

02S H I F T

Customer experience. Products and services. Product group and core operations group.

We’ll need to democratize development and empower all those with a stake in what comes next.

This shift is already taking place. More than 70% of digital transformation

projects are business-led.

IT-LEDBUSINESS-LED

Source: IDC, July 2016

28%72%

With business-led transformation becoming the new reality, let’s look at how we get to next.

Giving rise to fearless innovators

Ente rpr is e IT lea ds

D evelo p s a ppl icat ions for bus ine s s gro up s

NOW

Giving rise to fearless innovators

Ente rpr is e IT lea ds

D evelo p s a ppl icat ions for bus ine s s gro up s

Manufactur ing

Main tenance

Pro ducts

Customer ex p er ience

Supply chain

Supp or t

Non- exp er ts from busine ss group s develop appl icat ions

NOW NEXT

But if our teams are cross-functional, not everyone will have 20 years of application development experience.

So how do we get to next?

We put a framework in place that enables everyone to “fearlessly innovate” without damaging the enterprise.

Giving rise to fearless innovators

Ente rpr is e IT lea ds

D evelo p s a ppl icat ions for bus ine s s gro up s

Manufactur ing

Main tenance

Pro ducts

Customer ex p er ience

Supply chain

Supp or t

Non- exp er ts from busine ss group s develop appl icat ions

Non- exp er ts can innovate without worrying ab out s e cur ity, qual i ty and assurance, p er formance f lexing with demand

Non- exp er ts can eas i ly create comp o s able app s

Non- exp er ts can ins er t API s onto systems of re cord

NOW NEXT GETTING TO NEXT

Giving rise to our fearless innovators will accelerate business operations transformation.

Empowering them and ensuring their decisions are driven by the right data?

That will require two final shifts.

Going to the edge (and back).

Today, most enterprises send and analyze all their data at the center of their operations.

03S H I F T

But what happens if the data we’re analyzing is 4K 3D video from security feeds?

Or if the data is coming from thousands of sensors in a facility?

To accelerate to next, we’ll need to start empowering people and machines to make decisions at the point of impact — the edge.

We b

Mobi le

Po int of s a le

Empowering the edge

NOW

D e cis ion s ma de at

t he center

We b

Mobi le

Po int of s a le

Empowering the edge

NEXTNOW

D e cis ions made at the e dge

D e cis ion s ma de at

t he center

So what technology is needed to support decision-making at the edge?

D e cis i on s ma de at

t he center

D e cis ions made at the e dge

We b

Mobi le

Po int of s a le

Edge - opt imize d compute

B eacons and Wi-Fige o -p o sit ioning

Analyt ic s of human and IoT data

Prote ct ion for increas e d at tack sur face

Conne cte d appl icat ions in anything and everything

Empowering the edge

NEXTNOWGETTING TO NEXT

Advancing data science.

As with the democratization of development, we’ll need to rethink our approach to data.

04S H I F T

Instead of expert users, we’ll have business users.

Instead of analyzing a single type of data, we’ll analyze all kinds of data.

So what does this shift look like?

Ana lys is of t ra ns act ionso ccurs in t he p ast

Advancing data science

NOW

Ana lys is of t ra ns act ionso ccurs in t he p ast

Data from everywhereanalyze d in real -t ime

Analysis on human data

Analysis on trans act ions

Advancing data science

NEXTNOW

What’s needed to get us there?

Data s c ience that understands humans

Data s c ience that i sn’t swamp e d by mass of Internet of Things ( IoT ) data

Data s c ience p lat form that the busine ss can play with

Ana lys is of t ra ns act ionso ccurs in t he p ast

Data from everywhereanalyze d in real -t ime

Analysis on human data

Analysis on trans act ions

Advancing data science

NEXTNOW GETTING TO NEXT

We talked about what’s needed to get to next across four key shifts.

But the reality?

Today, 60% of the typical IT budget goes toward “keeping the lights on.”

To make the shifts, we need to free up enterprise IT capacity so they can innovate.

How?

By creating a new blueprint for IT in the digital era.

Fre e up en terp r is e IT ’s

cap a city to in n ovate

Plat form appl icat i onsthat del iver for

cont inuous ,exp erimental

innovat ion

Plat form to im p rove custom er exp er ien ce s

at th e Ed ge

A nalyt ic s p lat form to accelerate t im e to

i ns igh t an d act ion

This is how digital leaders are preparing for — or already meeting — the demands of the future.

Ready to start powering your digital transformation?

Visit insights.hpe.com for more.

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c05238009, November, 2016 © Copyright 2016 Hewlett Packard Enterprise Development LP. The information contained herein is subject to change without notice.