sap İnovasyon forum İstanbul-İnsan kaynaklari sÜreÇlerİnde İlerİ analİtİkler - sap

SAP İNOVASYON FORUM İSTANBULDİJİTAL ÇAĞ

Connected Innovation

İnsan Kaynakları Süreçlerinde İleri Analitikler

Konuşmacı Adı : Tülay Ortaeri

Firma Adı : SAP Türkiye

2© 2016 SAP SE. All rights reserved.

How many of you used predictive today?

© 2016 SAP SE or an SAP affiliate company. All rights reserved. 4Internal

Organizations that anticipate what comes next drive better decisions

68% of organizations

that used predictive analytics

realized a competitive

advantageVentana Research

52% use predictive

analytics to increase

profitability

55% use predictive

analytics to create new

revenue opportunities

45% use predictive

analytics for customer

services

43% use predictive

analytics for product

recommendations

Yet, very few do in HR …

Only 4% of large organizations have any ability to

“predict” or “model” their workforce – but more than 90%

can model and predict budgets, financial results, and

expenses. – Bersin


Driving Deeper Insight – Aligning to Business Issues

Is our staffing mix optimal?

Will adding staff increase

profitability?

What are our exit rates for

talent pools?

Which skills will be in

highest demand?

Where are our talent pools?

What % of our staff will

retire in 5 years?

Which LoBs are losing

knowledge?

Are we over-staffed in

certain disciplines?Are these skills available

externally?

Should we hire more from

internal teams?

What’s the cost of filling

the gaps?

How big are the skill gaps?

What’s our ratio of high/low

performers?

How engaged is our critical

talent?

Is our span of control too

high?

How productive is our

workforce?

Are we paying for

performance?

What career paths are most

successful?

Are we succeeding in

hiring Millenials?

Is our workforce diverse?

What’s the cost of

turnover?

Which roles face a

succession risk?

What are our best sources

of hire?

How effective is our skills

training?

Do we suffer from high

absence rates?

How many/what kind of staff

will be needed in 5 years?


Major changes driving the business world

It’s not enough to sense and respond …

Ever Faster

Decision Cycle

1 11

Transactions

Conversations

Machines

Massive

Amount of Data

Gartner

Analytical

Skill Gap

“Demand for deep

analytical talent in the US

could be 50 to 60%

greater than its projected

supply by 2018”

McKinsey Global Institute

It not is all about

Data Scientists

Solution Overview

© 2016 SAP AG or an SAP affiliate company. All rights reserved. 8

The fundamental idea

Historical Data Rules

Learn

SAP Predictive Analytics


Strategic and Operational decisions: Exploratory and Prescriptive Analytics

Past data Model

learn

Understand ‘why’

Strategic decisionsAnalytical

?

Exploratory Analytics

Apply to new data

Quickly react

Real time decisionsOperational

Prescriptive Analytics


SAP Predictive Analytics Solutions

SAP Predictive

Analytics

Predictive libraries

3rd Party DatabasesSAP BW

SAP HANA

Applications

(Embedded)

Model Use

Store and apply

SAP BI

Discover


Business Intelligence Advance Analytics & Predictive Analytics

Report OLAPDashboard Segmentation Associations Scoring Forecast

• List of employees that

have left?

• What are the reasons for

termination?

• Is turnover an issue?

• What type of employee tend

to leave voluntarily?

• What are the key drivers for

turnover ?

• Who are the top 10 employees

with highest impact of loss that

would leave?

• What will make those

employee stay? What impact

will it have on the business ?

Past / Present Future

Aggregated data Decision data

Solutions fit for purpose

Optimize

12© 2016 SAP AG or an SAP affiliate company. All rights reserved. 12

“I’m building churn

models for every

region”

MS Statistics, Berkeley

Data Scientist

“I need explain to the

CEO why sales are down

in EMEA”

MBA, U of Pennsylvania

Data Analyst Business User

“The app needs to tell

me what offer to make in

real time”

BS French Literature, UC

Davis

Opportunity to Broaden Access to Predictive


We ‘ve made it EASY for you

SAP Integration – SAP HANA, Business Objects Universe, SAP

ERP, SAP BW, etc.

Big Data – Consumes 1,000s of Fields automatically, handles

missing data, resilient to data issues

One Stop Shop – Modelling, Social Network Analytics, Text

Analytics, Data Preparation, etc.

Speed – Industry leading in Model Build and Scoring

Skills – Reduces barrier to entry for Data Mining

Rapid and easy implementation – Automation of scoring for in

database or in application implementation. Management tool to

test/improve models over time.

One solution, Multiple modes

Ease of use – Minutes to Hours as opposed to Days to Weeks

Customer Case Study


SAP predictive analytics enables business users

to prepare, analyze and generate predictive

models in a highly automated fashion.

We connected the SAP predictive engines to

database for direct access to the customer’s

data.

We ran predictive explorations across three

key areas:

1. Employee Turnover Rates

2. Managerial Performance

3. Career Paths

Customer Case Study

Methodology


Customer Case Study

Finding the ‘holy grail’ - better decisions on strength of data

The customer finds a high correlation between

terminating employees that are younger than 30 and

have <3 months tenure, prompting the firm to use data

to investigate related trends.

They educates their managers on policies for

new-hire scheduling and working hours.

The customer now plans to revisit recruitment,

onboarding, training and other engagement practices to

ensure employees receive full cultural immersion

with annual turnover cost savings estimated at:

>$1m

Finds “danger zone” for high turnover risk is employees

working 7 - 16 hours per week and those with less than

39 days of tenure.

If they can get employees to 39 days, their probability of

staying one year rises dramatically.

39


Predictive algorithms are never ends in themselves. The

only thing that counts is the business decision that a

professional would take based on the information provided.

Our predictive capabilities aim to make things simpler for the

user by seamlessly integrating highly-guided predictive

functionality where it makes sense.

Predictive Analytics in HR: Action, Not Just Algorithms

sap İnovasyon forum İstanbul-İnsan kaynaklari sÜreÇlerİnde İlerİ analİtİkler - sap

Presentations & Public Speaking