Upping Your Analytic IQ

Upping Your Analytic IQ Driving Real Time Insights through

Increased Employee Engagement

October 30, 2013 - Webinar

http://www.talentanalytics.com/

© 2013 SAP AG. All rights reserved. 1

Agenda

1. The Analytics Continuum & Big Data

2. Assessing Employee Analytic IQs

3. Solutions & Services for Improvement

Pat Saporito Sr. Dir., Global COE for Analytics

SAP Labs

Henner Schleibs Sr. Dir, Industry & LOB Analytics

Marketing

SAP Labs

Greta Roberts CEO

Talent Analytics

1990 2013 2000 2005 2010

ANALYTICS

(CIRCA 1980)

PREDICTIVE

ANALYTICS

(CIRCA 1980)

SEMANTICANALYTICS

(CIRCA 1980)

Analytics Trends:

Evolving towards Big Data

REAL TIME IN THE CLOUD

PERSONAL COMPUTER AND CLIENT SERVER

DATABASE

(CIRCA 1980)

WWW MOBILE

SOCIAL

B2B/

B2C

BIG DATA

REAL TIME

1,000,000+ SOLD

3,000,000 people had access to

Internet worldwide

More people have mobile phones than

electricity or safe drinking water

Facebook: 1 billion users; 600 mobile

users; more than 42 million pages and 9

million apps

YouTube: 4 billion views per day

Google+: 400 million registered users

Skype: 250 million monthly connected

users

Big Data Challenges

Staffing

and

skills

Data

Governance

Cost

Uncertainty

on Value of

Big Data

Unsure of the

Technology

Requirements

Connecting people to

information in the moment

they need it and in the

right experience (bridging

the gap)

Nucleus Research, Gartner, Fortune Magazine

Unlocking the value of “Dark Data”

10%

75%

Use Analytics

Today

Need

Analytics

by 2020

Ability to manage and

consume all data is

getting harder

Not utilizing all

the information

out there

Bottom Line: Not leveraging

the power of collective

insight

Missing new

insights

IT is not agile enough

and the business wants

to get involved

=

Analytics need to evolve to deliver Collective Insights

Raw

Data

Cleaned

Data

Standard

Reports

Ad Hoc

Reports

& OLAP

Agile

Visualization

Predictive

Modeling

Optimization

What

happened?

Why did it

happen?

What will

happen?

What is

the best that

could happen?

Us

er

En

ga

ge

me

nt

Maturity of Analytics Capabilities

Self Service BI

Generic

Predictive

Analysis

End-to-end

Easy adoption

Fast

implementation

Business focused

Enable

storytelling

Co

lle

cti

ve

In

sig

ht

What if you could turn

new signals into business value

:-) Brand Sentiment

360O Customer View

Product

Recommendation

Propensity to Churn Real-time Demand/

Supply Forecast

Predictive Maintenance

Fraud Detection

Network Optimization

Insider Threats

Risk Mitigation,

Real-time

Asset Tracking Personalized Care

Can you identify the right

profitable customers to cross

sell?

How quickly are you able to

reconcile and optimize your

financials?

Can you comply with new

finance and risk regulations?

Are you able to manage

risks and prevent fraud?

Are your employees missing new signals?

Personalized Insights

Advanced Planning and Forecasting

Sensing and Responding

Predictive Modeling

Real-time Reporting and Analysis

Connect people

with information

with new insights

anytime,

anywhere in the

right experience

Create an Information Culture

Use information as a strategic

asset in decisions

Build and tell fact-based stories

Maximize performance with

effective use of information

Nurture an Analytic Mindset and

Analytics Democratization

Connecting people

to data

“

”

The stone age was

marked by man's

clever use of crude

tools; the

information age, to

date, has been

marked by man's

crude use of clever

tools.

Anon


Has your BI Strategy been updated for Big Data?

SAP BI Strategy Framework

Objectives Business

Needs

Business

Benefit Technology Organization

Background and

Purpose

Current State and

History

BI Objectives and

Scope

Summary of BI

needs

Envisioned To-Be

State

Priorities and

Alignment

Value Proposition

of BI

Expected Benefits

– Future State KPI

Business Case

Information

Categories

Architecture and

Standards

BI Applications

Governance

Structure

Program

Management

Roadmap and

Milestones

Measurement

Education /

Training

Support

User Engagement and Change Management are

critical success factors. BI Competency Centers

are key to driving adoption and culture shift


Best Practices for Improving Your Analytic IQ

Step 1: Conduct raw talent inventory, compare with industry

benchmarks

Step 2: Define skills needed based on goals

Step 3: Assess where you are and identify gaps

Step 4: Develop a personal development plan

Step 5: Evaluate progress and ongoing development


Agenda

1. Big Data & the Analytics Continuum

2. Assessing Employee Analytic IQ



Why Assess Analytic Talent IQ? Strategic Initiatives Needs the Right Building Blocks to Ensure Success

©2013 Talent Analytics, Corp


Analytic Talent IQ Levels

Functional Level

Individual Level



Analytics Functions

Analysis Design

Data Acquisition and Collection

Data Preparation

Data Analytics

Data Mining

Visualization

Programming

Interpretation

Presentation

Administration

Managing Other Analysts


Hours / Week Spent in Analytics Workflow (Functions)


Data Preparation

Data acquisition, preparation, analytics

Programmer

Programming, some analytics

Manager Management, Admin, Presentation, Interpretation, Design

Generalist

Little bit of everything

Analytics Functions “Cluster” “Functional Clusters”



Time Spent in Analytics Workflow By “Functional Cluster”



Why Assess an Individual’s Analytic Talent IQ?



Quantitative Study:

Raw Talent Mindset of Analytics Professionals

• Analytics professionals have definitive mindset

• Easily measured

• Study resulted in an industry benchmark to measure analytics IQ of

employees and candidates

• Available for businesses to compare their analytical



Standardized, Individual Raw Talent Measures

MEASURE SCORE 1 - 100

Approach

to:

Problem Solving Collaborative Independent

Working with people Task People

Project Pacing No Process Process

Protocol & Details Low Detail High Detail

Deep Desire

for:

Achieving Goals

Helping Others

Intellectually Curious

Discipline and Rigor

Advancing & Competing

Creative Assignments

Unique Projects



MEASURE SCORE 1 - 100

Approach

to:

Problem Solving Collaborative Independent

Working with people Task People

Project Pacing No Process Process

Protocol & Details Low Detail High Detail

Deep Desire

for:

Achieving Goals

Helping Others

Intellectually Curious

Discipline and Rigor

Advancing & Competing

Creative Assignments

Unique Projects

Standardized, Individual Raw Talent Measures



All Clusters are “Intellectually Curious”

Level of Intellectual CURIOSITY (The further right, the more Curious.)

All Clusters Skew High. Clearly Curiosity is a

“must” regardless of function in analytics role



All Clusters are “Creative”

Level of CREATIVITY (The further right, the more Creative.)

Creativity Skews High

in all Clusters




How does your talent compare to the industry benchmark?



What is worth to ID the best talent for your analytics strategy?


Agenda

1. Big Data & the Analytics Continuum

2. Assessing Employee Analytic IQs


Analytics solutions from SAP

Agile

Visualization

Advanced

Analytics

Big Data

Mobile

Collaboration

Cloud

Enterprise

Business Intelligence


Infuse insights into Processes, People & Things

Customers Partners

Employees Processes

BIG DATA APPS &

ANALYTICS

Agile

Visualization

Advanced

Analytics

Enterprise

Business Intelligence


How SAP & Talent Analytics Can Help

Vision

• Vision Workshop

• Innovation Day

• Co-Innovation

Operationalize

• Design Thinking

Workshop

• BI Strategy

Assessment

• Strategic Analytic

Services

• Use quantitative

approach to hire

analytic talent

Pilot

• Pilot Focused

Innovation Workshop

• Pilot Planning &

Roadmap

• SAP Platform &

Analytic Solutions

• Employee Analytic IQ

Customer Study

Education – Technologies – Services – Industry Expertise


Additional Information


Questions?

Learn More about SAP

Call: 1 (888) 817-2292

Visit: www.sap.com/bigdata

Learn More about Talent Analytics

Call: 1 (617) 864-7474

Visit: www.talentanalytics.com

Learn More about Int’l. Institute for Analytics

Visit: www.iianalytics.com

http://www.sap.com/bigdata

http://www.talentanalytics.com/

http://www.iianalytics.com/

Thank You!

Pat Saporito Global COE for Analytics CoE

SAP Labs

[email protected]

(201) 681-9671

Twitter: patsaporito

Henner Schleibs Industry & LOB Analytics Marketing

SAP Labs

[email protected]

@hschliebs

Twitter: @hschleibs

Greta Roberts CEO

Talent Analytics

[email protected]

(617) 864-7474

Twitter: @gretaroberts

mailto:[email protected]

mailto:[email protected]

https://twitter.com/hschliebs

https://twitter.com/hschliebs

Data & Analytics

Upping Your Analytic IQ