Big Data what's the big deal

1. HELLO!HELLO!

2. ?
BIG DATA - WHAT’S THE BIG DEAL?BIG DATA - WHAT’S THE BIG DEAL?

3. LET’S START FROM THE TOPLET’S START FROM THE TOP

4. DATA IN HRDATA IN HR
PERFORMANCEBUSINESSPEOPLE

5. HOW MUCH IS DATA USED WITHIN HR FOR
INSIGHT AND IMPROVEMENT?
HOW MUCH IS DATA USED WITHIN HR FOR
INSIGHT AND IMPROVEMENT?
63% HR
LEADERS
21%
NON-HR
BUSINESS
COUNTERPARTS
CIPD HR Outlook Base: 107 HR Leaders. 369 Business Leaders.

6. PWC research (2012)
CEOs AND BUSINESS LEADERSCEOs AND BUSINESS LEADERS
PEOPLE METRICS
AROUND TALENT,
RETENTION, SUCCESSION,
PRODUCTIVITY ETC.
VALUED AT
70%
THEY ALSO BELIEVE IT IS DELIVERED
CONSISTENTLY ONLY
25%OF THE TIME

7. WHY ALL THE FUSS?WHY ALL THE FUSS?
Volume Velocity Variety

8. BUT THERE ARE CHALLENGES!BUT THERE ARE CHALLENGES!
HR
personalities
Value Gap in ability Absence of
consistent data
Data is cold, complicated
and hard to access

9. WHERE DOES IT COME FROM?WHERE DOES IT COME FROM?
Talent
Life
Cycle

10. THE WAY WE LOOK AT ITTHE WAY WE LOOK AT IT
Gather
raw data
Key
checks
What’s
the aim
Organise
data
Get to know
the data
Analyse
the data
Outputs &
actions

11. A FEW DATA RULESA FEW DATA RULES
Always start with
a problem
Inspect/understand
your data
Keep it simple
Make sure the
outputs make sense
Use Common sense
Don’t answer the
wrong questions

12. GETTING STARTEDGETTING STARTED

13. USING IT IN THE REAL WORLDUSING IT IN THE REAL WORLD

15. MY PROBLEMMY PROBLEM

16. WE TRIED EVERYTHING!WE TRIED EVERYTHING!

17. SO, WE TURNED TO SMRSSO, WE TURNED TO SMRS

18. AND THEN IT CLICKED...AND THEN IT CLICKED...

19. GOALS(WHAT WE HOPED TO ACHIEVE)
GOALS
(WHAT WE HOPED TO ACHIEVE)

20. WHAT WE DIDWHAT WE DID
Initial data Personality
types

21. WHAT WE DIDWHAT WE DID
Personality
types
GIS Where
personalities live

22. WHAT WE DIDWHAT WE DID
Personality
types
Where
personalities live
CCS Media
consumption
habits

23. WHERE WE ARE NOWWHERE WE ARE NOW
Audience maps

24. WHERE WE ARE NOWWHERE WE ARE NOW
Audience types

25. WHERE WE ARE NOWWHERE WE ARE NOW
Social demographics

26. WHERE WE ARE NOWWHERE WE ARE NOW
Attitudes, hobbies
and interests

27. WHERE WE ARE NOWWHERE WE ARE NOW
Media consumption

28. WHERE WE ARE NOWWHERE WE ARE NOW
Newspapers &
Magazines

29. WHERE WE ARE NOWWHERE WE ARE NOW
Online
behaviours

30. WHERE WE ARE NOWWHERE WE ARE NOW
Radio

31. WHERE WE ARE NOWWHERE WE ARE NOW
Most noticed
media

32. WHERE WE ARE NOWWHERE WE ARE NOW
Focus
groups

33. WHERE WE ARE NOWWHERE WE ARE NOW

34. WHERE WE HOPE IT WILL TAKE USWHERE WE HOPE IT WILL TAKE US
We’re now better informed on
where our target audience is

35. WHERE WE HOPE IT WILL TAKE USWHERE WE HOPE IT WILL TAKE US
We know what media they use

36. WHERE WE HOPE IT WILL TAKE USWHERE WE HOPE IT WILL TAKE US
It informs our creative and the
message we put in-front of people

37. WHERE WE HOPE IT WILL TAKE USWHERE WE HOPE IT WILL TAKE US
Very little wastage,
money to be better spent

38. WHERE WE HOPE IT WILL TAKE USWHERE WE HOPE IT WILL TAKE US
We get the drivers
we need, quicker

39. WHERE WE HOPE IT WILL TAKE USWHERE WE HOPE IT WILL TAKE US
At a lower cost
per hire

40. WHERE WE HOPE IT WILL TAKE USWHERE WE HOPE IT WILL TAKE US
We can gather
more refined
data to validate
what we’ve done
and use it to
inform our next
campaign

41. WHO BENEFITS?WHO BENEFITS?
ME
THIRD PARTY
MANAGERS
MY BOSSES
OWNER DRIVERS
RECRUITERS
CUSTOMERS

42. THEN VS NOWTHEN VS NOW

43. BIG DATA = BIG FUTUREBIG DATA = BIG FUTURE

44. THANK YOU!
ANY QUESTIONS?
THANK YOU!
ANY QUESTIONS?