BIG DATA ANALYTICS: What we will cover today. State of Big Data OPENING THE DOOR FOR NEW HR INSIGHTS

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BIG DATA ANALYTICS:

OPENING THE DOOR FOR

NEW HR INSIGHTS

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What we will cover today

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State of Big Data

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State of Big Data in HR

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Elements to Consider

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Decision Making

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The new “Data Scientist”

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Culture

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New Opportunities

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State of Big Data

“2/3 of companies responding have a big data

application in production. Spending is up and expected

to increase dramatically. All is good in the world of big

data.”

source: Big Data

Executive Survey – New Vantage Partners

3 Business Driver

Insight and Learning Speed / Faster Decisions Agility and Flexibility Cost Savings and Efficiency

Who drives Big Data

Sales, Mktg & CRM Risk, Regulatory, Compliance R&D, New Products IT & Operations Finance, HR & Admin

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State of Big Data in HR

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Where is the CHRO?!??

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How are decisions being made?

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Evolution of Analytics

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1950s: Time and Motion Studies

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1990s: Business Process Re-engineering

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Today: Workforce analytics

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Warning: Know where you are!

(Before implementing Big Data Applications with HR Data)

Negative

Disjointed Closed Mistrustful Secretive Lone efforts Removed

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Negative

Positive

Disjointed Closed Mistrustful Secretive Lone efforts Removed Leadership Open Trusting Communicative Collaborative Engaged

Negative

Positive

Disjointed Closed Mistrustful Secretive Lone efforts Removed Leadership Open Trusting Communicative Collaborative Engaged Introduction Of Big Data

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Negative

Positive

Disjointed Closed Mistrustful Secretive Lone efforts Removed Leadership Open Trusting Communicative Collaborative Engaged Introduction Of Big Data Seen as a weapon to

control and punish

BIG BROTHER

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Negative

Positive

Disjointed Closed Mistrustful Secretive Lone efforts Removed Leadership Open Trusting Communicative Collaborative Engaged Introduction Of Big Data Seen as a weapon to

control and punish

BIG BROTHER

Tool to improve Effectiveness and boost productivity

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Beyond the Box

Measure Collaboration ?!?!

………with Big DATA?!?!?

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What Could we do if we Could Measure

Collaborative Performance?

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Establish actual impact of Change/Transformation Initiatives

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Optimize Team Membership/Composition

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Seat people where they (and with) should be

– Even Mobile workers when they do come in

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Track impact of efforts to:

- bring down silos

- improve sales and project team performance

- shift to remote and mobile work

Part I

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What Could we do if we Could Measure

Collaborative Performance?

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Develop IT Tool Roadmaps with a much greater level of

confidence

–And assure proper information governance is in place

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Set a benchmark against which change/progress can be

measured

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Hire, train and develop people appropriately

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Benchmark individuals, teams and organization against others

Part II

Collaborative Culture

The Two Sides of the Coin

Openness and Sharing

What is it that I know, and what can I do to make sure others are aware of this when it is of significance ?

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Openness and Sharing

Search How Curious are we?

How much value do we attach to the experience, expertise and knowledge of others? What is it that I know,

and what can I do to make sure others are aware of this when it is of significance ?

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Openness and Sharing

How much value do we attach to the experience, expertise and knowledge of others?

What has the corporation put in place to facilitate this? What is it that I know,

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Openness and Sharing

How much value do we attach to the experience, expertise and knowledge of others?

What has the corporation put in place to facilitate this? This is where social/community platforms can play a

HUGE

role!!! What is it that I know,

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Where does “Big Data” figure into

this picture?

• Information flow:

–Who puts how much information into the repository?

–Who takes it out ? reads it?

•Teammate? someone on another team? another department? or the other side of the world?

• Communications:

–Initiator or participant

–One-on-one or groups

–Within team? Or beyond

• MetaData: Each application maintains an “activity log”

–Who did what, when and who else was involved?

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Factors driving us all toward

increased tool usage

TOOLS

Distance

Including the “magical” 150 feet

increased tool usage

TOOLS

Distance

Amount of

Information

Available

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increased tool usage

TOOLS

Distance

Amount of

Information

Available

Remote Workers

& Virtual Teams

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How it works

Repositories/Content Mgmt Email & Unified Com. Knowledge & Project Mgmt Web-conf & telepresence Bus. Process and workflow EIM, ERP & Enterprise search E2.0 Soc. Media & communities CRM & Tribal Knowledge Apps

Suite of Collaboration Tools (meta-data)

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How it works

Suite of Collaboration Tools (meta-data)

DATA

BASE

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How it works

Suite of Collaboration Tools (meta-data)

DATA

BASE

Big Data Analytics Engine

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How it works

Suite of Collaboration Tools (meta-data)

DATA

BASE

Big Data Analytics Engine Collaborator “Types” Organizational Benchmarking Team Dashboards and Networks Individual Scorecard Tool Effectiveness Dashboard Performance Predictor

Output

Joint HRPA Research Project

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10 datasets from organizations

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In return for contributing Datasets companies receive

full assessments

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Cisco is a project sponsor and one of data

contributors

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Some thoughts to keep in mind

Big Data

Collaboration

Think beyond the box Bring in different stakeholders Develop Hypotheses Test….and test again In the beginning…do not

Overcomplicate Use multiple data sources It is NOTabout the Technology

Collaboration ≠ universal agreement Integrate Collaboration into culture Leader must lead by example Encourage the collective effort Ensure information governance Train…… and train again It is NOTabout the Technology