The future is coming -- and it's going to be driven by AI. But if you’re going to invest in data science and machine learning, you may as well do it right, or not do it at all. Here’s how. --- Interested in finding out more? Check out our accompanying blog post here: https://www.acapture.com/4-ways-to-improve-your-data-science-roi/.

1. DATA SC IEN C E
OVE RHYPE D FA D OR THE
FOU NDATION OF THE FU TU RE ?

2. INT RODU CTION
Nathan
VP Data Services
Payvision
Rodger
Co-founder & CEO
Crobox

4. DIGITA L BORN LE A DE RS

5. DIRE CTIONLE S S INVE S TME NT
DATA
CO NSULTANTS
DATA
SCI E NTI STS

6. NO ME ANINGFU L BE NE FITS
WASTED TIME AND EFFORT
DUE TO NO CLEAR
PURPOSE

7. DATA SC IEN C E IS
TO BL AME

8. “OF BI G DATA & A N A LY TI CS
PROJE CTS FAIL TO GO
BE YOND E XPE RIME NTATION.”
- T E C H R E P U B L I C -
“S AY TH E I R FI RM S A RE TRYI N G
TO BECOME DATA-DRIVEN, BUT
ONLY ONE -THI RD RE PORT
S U C C E E DI N G .”
- N E W V A N T A G E P A R T N E R S -
85% 99%
* B I G D A T A E X E C U T I V E S U R V E Y 2 0 1 8 E X E C U T I V E S U M M A R Y O F F I N D I N G S

9. - N E W V A N T A G E P A R T N E R S -
THE TECHNOLOGY JUDGED MOST DISRUPTIVE IS AI.
BY FAR.
72% CHOSE AI AS THE DISRUPTIVE TECHNOLOGY
WITH THE MOST IMPACT FAR MORE THAN CLOUD
COMPUTING OR BLOCKCHAIN.

10. THE NE CE S S A RY FU TU RE FOR
RE TA ILE RS

11. THE FU TU RE
$1 TRI L L I ON
THE FUTURE IS COMING
W H E TH E R W E L I K E IT OR N OT

13. IN-S TORE E YE TRACKING
THE DATA IS THE RE ,
W E ON LY N E E D
TO M AKE S EN SE OF IT

14. AT T E N T I O N
THE AT TE NTION E CONOMY

15. E A S E THE DE CI S I ON PROCE S S :
BE RE L E VA NT, RE DU CE CHOICE

16. A I - A I DE D DE C I S I ON - M A K I N G
BE RE L E VA NT RE DU CE CHOICE CRE ATE VALU E

17. BE FU TU RE -PROOF
DATA S TRU CTU RE PE OPLE PROCE SS
I NVE S T IN T HE RIGHT
ME T HODS A ND TOOLS

18. CRE ATING AN E NVIRONME NT FOR
S U C C E S S

19. FROM BU ZZW ORD TO VA LU E
DATA
S TRATE G Y
TA L E NT DATA S CI E NCE
INT EGRATI ON
CU LTU RAL
RE S IS TA NCE

20. DATA S TRATE G Y
BE COME
DATA DRIV E N

21. BU S INE S S & DATA S TRATE G Y A L IG NME NT
TOPDOWN
BOTTOMUP

22. DATA FACTORY
E FFI CI E NT DATA U S E

23. DATA FACTORY

24. BE PRE PA RE D
IF YOU’R E N OT GOOD AT BI,
YO U ’ R E N OT R E A DY F O R A I

25. TA L E NT
CRE ATING AND
RE TA INING TA LE NT

26. THE ROOT CAU S E
FOCUS ON REAL BUSINESS PROBLEMS.
BRING IN EXPERTS WIT H REL EVA NT E X P E R IE N C E ,
N OT J UST DATA SC IE NT ISTS.

27. BU IL D A TEAM TH AT IS
COMPOSE D OF ALL DISCIPLINES

28. DATA S CI E NCE I NTE G RATI ON
S TOP TRE ATI N G DATA
S C I E N C E A S R&D

29. FU LLY INTE G RATE D S YS TE M

30. CU LTU RAL RE SISTANCE
BRING YOU R TE A M TOG E THE R
TO REDUCE RE SISTANCE

31. HOLD WORKSHOPS TO U NDE RSTAND
THE PROBLE M BE T TE R

32. W H AT TH I S M E A N S
DATA S CI E NTI S TS S HOU L D N OT
BE IN IVORY TOW E RS

33. W H AT I S OU R DATA S TRATE G Y A N D H OW D OE S IT
S E RV E TH E BU S I N E S S ?
W H AT A RE W E D OI N G TO BU I L D A N D K E E P
TA L E NT E D, M U LT I D I S C I P L I N A RY T E A M S ?
HOW ARE THE IR E FFORTS BE ING INTE GRATE D
INTO OUR BUSINESS?
W H AT A RE YOU D OI N G TO OV E RC OM E C U LTU RA L
RE S IS TA NCE , A ND W HE N IS MY W ORKS HOP?

34. CROBOX:
DATA -DRI V E N E COM M E RCE

35. CROBOX APPROACH
DIS COVE R THE WHY
BE HIND THE BU Y
B E H A V I O R A L
P S Y C H O L O G Y
A R T I F I C I A L
I N T E L L I G E N C E

36. L E V E R AG I N G U N I QU E DATA S E TS
DATA M ODE L S TH AT TU RN BE H AV I ORA L , DE M OG RA PHI C, A ND
TRA NS ACTION A L DATA INTO PS YCHOG RA PHICS

37. MU LT IDISCIPLIN ARY MIN DSE T

38. TE A M A LIG NME NT
G ROW TH M I N D S E T

39. NU DGING TOWARDS THE B U Y BU T TON
AVE RAGE ORDE R
IMPACT
8.3%
CONVE RSION
IMPACT
U NI QU E
PROFILE S
1.9%
1M

40. IN-DE PT H CUSTOM E R INTELLIGENC E
Social Proof
People are social creatures
and likely to follow group
behavior when
communicated.
Scarcity
Products that are scarce have
increased perceived value
and it boosts the urgency to
decide now.
Authority
People are more likely to trust
messages when they’re
recommended by credible
sources.
Innovation
People are novelty-seeking so
new products are seen as
more attractive and
associated with rewards.
Commitment
People want to remain
consistent in their behavior
and thinking. A first step
increases the next step.
PSY CH OGRA PHIC INSIGHTS
OF T HE EUR OPEAN UA SHO PPER
European UA shoppers are most susceptible to Social Proof in the consideration phase,
which increases the likelihood for them to click. So when it comes to choosing products,
UA shoppers tend to primarily look toward the behavior and opinions of others.
5.4M
PERSUASI ON PROFILES
9.91%
OVERALL IMPACT (CTR)

41. BE FORE & BE YOND THE B U Y BU T TON

42. L E V E R AG I N G DATA A F T E R
THE BUY BU T TON

43. BE YOND THE BU Y
DATA AN ALYSIS AND COLLECT ION DOESN’T
STOP AF T E R T H E BUY BUT TON

44. M ACHINE LE ARNING TO
FIG HT FRAU D

45. AUTO RE T RIES
12% OF ONL I NE CRE DIT CA RD
PAYM E NTS FA I L

46. D O I N G D AT A S C I E N C E W I T H O U T A
B U S I N E S S S T R AT E G Y
STO P!
D O I N G D AT A S C I E N C E A S A
R E S E A R C H E N D E A V O R / R & D
M A K I N G S U R E Y O U H A V E A C O M P R E H E N S I V E
P L A N B E F O R E Y O U C O M M I T
START…
S E C U R I N G P R O P E R F U N D I N G A N D
R E S O U R C E S
M A K I N G S U R E T H AT D AT A I S I N T E G R AT E D
I N T O T H E O R G A N I Z AT I O N A N D C U LT U R E
K E E P I N G D AT A S C I E N C E AT A R M ’ S
L E N G T H F R O M O P E R AT I O N S

47. BU IL D A S U S TA IN A BL E S TRATE G Y
L E T ’ S C H AT

48. Nathan
VP Data Services
Rodger
CEO Crobox
TH A NK YOU ,
QU E S TI ONS ?