sap digital business strategy - tu event · 2018-10-12 · internal enabling the intelligent...

INTERNAL

Enabling the Intelligent Enterprise for Best-run Businesses

October 11, 2018Mariano Kristensen, SAP

Norway

SAP Digital Business Strategy

2PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ

2

From software supporting strategy

to software being the strategy!


Our customers face new challenges amid digital disruption

“How do I fund innovation for

tomorrow while still running today’s business and delivering

profitable growth?”

CEO, CFO

“How do we better understand

what our consumers really want and how do we deliver the best

experience for them?”

CMO, CRO, Head of Sales

“How can we use our

data to create an engaging employee experience across all groups of employees?”

CHRO

“How can I draw more

actionable insights from my enterprise data to help my

business partners react faster to new opportunities?”

CIO


Enabling new business models will require new capabilities at enterprises scale

Operational Efficiency

▪ Asset utilization

▪ Operational cost

reduction

New products & Services

▪ Software-based services

▪ Data Monetization

Outcome Economy

▪ New connected ecosystems

▪ Platform-enabled marketplace

Source: World Economic Forum

Autonomous, Pull Economy

▪ Continuos demand-sensing

▪ Resolution optimization &

waste reduction


Alignment on Business and IT Strategy

IT

enables

organizations

to achieve

the business

objectives

Business Strategy

IT Strategy

Business

model

Business

objectives

IT Enabler

Business

requires

IT capabilities

to deliver competitive

advantage


Digital Business Framework 2.0

Intelligently connect people, things, and businesses to deliver unmatched value and maintain long customer relationships

Differentiate Businesses

Mode 2Mode 1Hyper-automate business processes to radically cut cost of service delivery

Run Businesses

Analytics

Deliver insights to drive strategic decisions and enable

new business models

Steer Businesses

Embrace Data

Orchestrate data of any volume, velocity, and variety

Data Foundation


Digital Business Framework for Mode 1 and 2

RUN Innovate


Tech Innovation that will influence Digital Strategies


Addressing the challengeHypothesis of the challenge to solve with SAP Leonardo for Client ABC

Approximately 30-40% of these are

for long-term positions.

Feedback from clients/enterprise is

that around 30% of these are “mis-

placements” due to inadequate

social profile match. Not due to

poor professional qualifications

Candidates are detailed in their

elaboration of the Curriculum. Hard

professional skills are difficult to

manipulate – as educational and work

experiences can be double checked

with former employer and

universities/schools.

Soft skills are however different to

qualify out of the Curriculum. Most

candidates describe themselves as

“collaborative”, “like to in teams” etc.

Text based screenings of candidates

is today possible with robotics and

Machine Learning.

But determining candidates social and

phycological profile requires labor

intense work in shapes of interview

conducted by professionals /

phycologists'

Soft skills in the Curriculum Labor intense screening processes200.000 interviews per year (in country)


A new modus operandi when conducting candidate interviewsUtilizing innovative solutions to improve match between enterprises clients and candidates

In the in-person interviews, the

candidates will be asked for

approval to be recorded during the

interview. With this approval Client

ABC will be compliant with the

current surveillance laws as well as

Data Privacy (GDPR).

Facial recognition - both real-time or

post interviews can help to detail and

capture sudden facial reactions when

candidate exposed to sudden

predefined verbal questions and/or

images. The high granular which is

feasible to capture are reactions such

as: 1) Happiness 2) Confusion, 3)

Surprise 4) Anger 5) Excitement and 6)

Sadness. Depending on the reason

(particular question and/or strong

image) for the particular facial reaction

Client ABC will be able to group

candidates in different social

categories

In order to find and control social

profiles against found patterns, Client

ABC will need to build up a big data set

as reference. This will however needs

to be anonymized curriculums in order

to be compliant with data storage and

privacy acts of GDPR

A good model requires huge amount of

data, and recommended is 10.000 +

Purpose of recordings Training a Machine Learning modelMore with less – and higher quality

outcome


Capabilities needed to address the resolutionUtilizing innovative solutions to improve match between enterprises clients and candidates

With SAP Leonardo ML services

SAP will consume a Facial

recognition API that will ensure the

detection of sudden reactions from

candidates. This will be match

against categorized social profiles

already defined in the SAP

Leonardo Foundation

With an over time growing amount of

anonymized curriculums, and

classifications of these based on

“Successful match” or “Unsuccessful

Match”, the task to compare the

current candidates social profile

against a sudden position will become

a structured and consistent process

resulting in better match

The SAP Leonardo Machine Learning

and Predictive Analytics will be the two

cornerstones of the solution

architecture

Training the Machine Learning model Predictive and Machine LearningReal-time social profiling


Tech Innovation that will influence Digital Strategies

Thank you.

Contact information:

Mariano Kristensen

Director EMEA North Center of Excellence

[email protected]

Tel: +45 2923 3380

mailto:[email protected]

sap digital business strategy - tu event · 2018-10-12 · internal enabling the intelligent...

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