ALIGNING DATA TALENT WITH YOUR

ANALYTICS NEEDS

Present by:

Wayne Hinds

Principal Consultant – Analytics

Huntel Global

Wayne.Hinds@huntelglobal.com

August 12, 2015

huntelglobal.com

• Where are you along the analytics continuum?

• Do you have a plan to getting the most out of your mountain of data?

• Do you know what questions you want answered and what metrics will

drive the answers?

• Have you ever had trouble with finding the right talent for your data

analytics objective or initiative?

• Where do you go for help?

• Special offer & give-away.

AGENDA

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Where are you Along the Analytics Continuum?

Look Back Look Across Look Forward

Descriptive

Analytics

Diagnostic

Analytics

Data

Exploration

Discovery

Analytics

Predictive

Analytics Prescriptive

Analytics

What has

happened?

Why did it

happen?

What new

opportuniti

es exist?

What

process

can be

improved?

What is

likely to

happen?

What

Should I do

about it?

What is

happening

right now?

Yesterday Today Future

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• World is drowning in data (Teradata & Petabyte in volume)

• Growing shortage of analytics professionals (see Gartner

2012 report - Gartner Says Big Data Creates Big Jobs)

• Multiple data sources: Centralize repository

• Varying types of data (legacy, machine learning, structured,

unstructured etc.)

• The Cloud and security concerns

• Process and ROI of valuable / intangible asset

Some Current Data Challenges:

Do you have a plan

for getting the most

out of your

mountain of data?

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• What is the pressing business issue?

• What are the metrics and KPI that measures the issue(s)?

• The Data (what, where, type, etc.),

• The Tools (for database, for visualization, etc.) and

• The Process for insights into action

• Finding the right talent

Here Are Some Considerations

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• Review current data

• Sources and location

• Access to data

• Quality and accuracy (validation)

• Cleaning and Aligning data **

• Use appropriate Visualization tool(s)

• Plan for periodic updates (monthly / quarterly / annual)

Additional Considerations

Do you know what

questions you want

answered and what

metrics will drive

the answers?

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• What areas / segments are underperforming and why? (ie.

Market Analytics)

• What are the low performers and why? (BU, products, talent)

• Who and what are my high performers?

• Who are my most loyal customers? (ie. Customer Loyalty and Insights)

• Where are my customers coming from?

• What are my cost drivers (ie. resource, talent, etc)?

• What is causing regrettable turnovers? (ie. HR analytics)

Examples of the kinds of questions

Have you ever had

trouble with finding

the right talent

for your data

analytics objective

or initiative?

huntelglobal.com

• Most new recruits come from “traditional” background; data analysis – statistics, mathematics, computer science, etc.

• Identifying a unicorn (hard to find): • great at data and

• communicating with people, and

• expert in your’s company’s industry

• Experienced with the right tools

• Matching experience level with the required role

Some Common Problems include

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• CAO (Chief Analytics Officer)

• Insights Director

• Data Scientist

• Predictive modellers

• Data mining experts

• Statisticians

• Analyst (Analytics, Marketing HR, DS, BI, etc.)

Common Analytics Roles / Occupations

Top 5 Things to Look for in Analytics Talent

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1. People who love data (slice and dice it)

2. Able to communicate effectively with people

and good presentation skills.

3. Knowledge and experienced

4. A working knowledge of the most commonly

used programming languages for analyzing

large digital datasets

5. Insight competence

Analytics Talent

The Most Sought After Analytics Role – Data Scientist

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Data Scientist

Two Types of Data Scientists:

Which is Right for Your Needs?

1 ) Analytics for Humans

2) Analytics for Machines

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Data Scientist

1 ) Analytics for Humans

• Another human is the final decision maker and consumer of the

analysis

• Must be comfortable coming to higher-level conclusions – the “why”

and “how”

• Telling a story from the data

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Data Scientist

2) Analytics for Machines

• The final decision maker and consumer of the analysis is a computer

• Creating computer algorithms and models

• Their digital models are established and then act on their own

• automatically trade in the stock market

• Decide ads to display for online content/advertising targeting, or

• Personalized product recommendations

• must have remarkably strong mathematical, computational, and statistical skills and data modelling

• So that systems can make quality predictions quickly.

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Data Scientist

Talent should be experienced with following tools; • SAS / SPSS (statistical analysis)

• Python & R programming languages (open source) for statistical computing

• Apache Hadoop for database (open-source)

• Web Analytics (Adobe Catalyst; formerly Ominture), CoreMetrics, comScore, Web Trends, and Google Analytics

• Social media analytics (Facebook Insights, Sysomos, Wildfire)

• Mathematical Statistics

• Data Analysis Algorithms/Methods (Machine Learning)

• Visualization tools (ie. Tableau, Qlix, etc. )

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In Summary

• Analytics is about using data

• To make better business decisions

• To guide your business along the continuum; descriptive to predicative to prescriptive

• Work with one business issue at a time

• Understand what data you have, you need, the metrics and the tools and resources that go with that

• Align the data to the business issue

• Finding the right talent(s) is of the utmost importance

• Determine the skills and experience needed

• What level or role they will contribute to the business

• Drive insights into action

Where do you go for help?

huntelglobal.com

We can help!

Who Are We?

Huntel Global is a boutique recruitment and consultancy firm.

We Specialize in finding right Talent for: • Corporate Performance Management (CPM) • Data Warehousing (DW) • Business Intelligence (BI) • Analytics • ETL • And more

As specialists, we understand the complexity of these sectors and apply a creative and dynamic approach to our business. We have hosted a number of Analytics events, networking with Analytics professionals across the globe and act as advisors to our clients and candidates within this niche discipline.

Bell Canada Rogers Communications Trans Union Indigo ANZ Bank HSBC Scholastics Canada Points.com

Sample Clients

huntelglobal.com

Special Offers 1) Drawn for FREE P3: Personality Assessment (Analytical tool)

2) HR Analytics training - September 16 & 17, 2015

• Join Drake International (parent company to Huntel global) for two day training on HR Analytics

• Exclusive to you - $500 discount

• Use Promo Code: HUNTEL500

www.hranalyticstraining.eventbrite.ca

Questions?

ALIGNING DATA TALENT

WITH YOUR

ANALYTICS NEEDS

Present by:

Wayne Hinds

Principal Consultant – Analytics

Huntel Global

Wayne.Hinds@huntelglobal.com

August 12, 2015

THANK YOU!