Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
PROPRIETARY + CONFIDENTIAL © 2012-16 Familian&1, All Rights Reserved
insights + interfaces
for digital business
an overvie...
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
Growth Hacking
A bit about me
2
corporate strategyCorporate Str...
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
‣ Big Data Context

How did we get here?
‣ Tools + Services

Fo...
PROPRIETARY + CONFIDENTIAL © 2012-16 Familian&1, All Rights Reserved
an overview of

Big Data + Visualization
Part 1
Big D...
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
Welcome to data obesity!
5http://www.datasciencecentral.com/pro...
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
How big is big?
6http://www.domo.com/blog/2013/05/the-physical-...
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
Big in growth, too.
7
http://www.infosysblogs.com/brandedge/201...
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
9 Sources
8
http://www.infosysblogs.com/brandedge/2013/04/20130...
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
6 Types
9
{
"created_at": "Thu Sep 15 16:29:08 +0000 2016",
"id...
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
6 Types
10
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
6 Types
11
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
The 4 V’s
12http://www.slideshare.net/gschmutz/ukoug2013-big-da...
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
Putting it all together
13https://datafloq.com/read/understandin...
PROPRIETARY + CONFIDENTIAL © 2012-16 Familian&1, All Rights Reserved
an overview of

Big Data + Visualization
Part 2
Tools...
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
A busy landscape
15
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
Let’s simplify
16
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
And reframe it
17
EVENT-BASED ANALYTICS
+
TEXTUAL
VISUAL
ANALYT...
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
Power players
18
EVENT-BASED ANALYTICS
+
TEXTUAL
VISUAL
ANALYTI...
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
Splunk for any machine data
19
SPLUNK.COM
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
Charted for super simple charts
20
CHARTED.CO
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
Tagul for simple unstructured data
21
TAGUL.COM
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
Quid for complex unstructured data
22
QUID.COM
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
Quintly for social media data
23
QUINTLY.COM
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
Google Analytics for website traffic
24
GOOGLE.COM/ANAYTICS
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
Mixpanel for user event data
25
MIXPANEL.COM
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
Mixpanel in practice with headline-screenshot construction
26
M...
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
Intercom for powerful customer engagement
27
INTERCOM.IO
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
Skitch for rapid screenshot markup
28
SKITCH.COM
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
Google Sheets for simpler data aggregation
29
SHEETS.GOOGLE.COM
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
30
GECKOBOARD.COM
Geckoboard for complex data aggregation
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
Geckoboard + Klipfolio for complex unified dashboards
31
GECKOB...
PROPRIETARY + CONFIDENTIAL © 2012-16 Familian&1, All Rights Reserved
an overview of

Big Data + Visualization
Part 3
Autom...
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
The “Old School” approach
33
“Long” Data
Raw 

“Header”

File 2...
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
Segment for data processing + routing
34
SEGMENT.IO
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
How Segment Works
35
RAW DATA EXTRACT
Core Website
Enrichment o...
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
LOAD
Interconnected SaaS Tools
36
TRANSFORM
Traffic Sources 

&...
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
Making room for “old school” approaches
37
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
The benefits of interconnected tools
38
PROPRIETARY + CONFIDENTIAL © 2012-15 Familian&1, All Rights Reserved
an overview of

Big Data + Visualization
Part 4
Loyal...
PROPRIETARY + CONFIDENTIAL © 2012-2015 All Rights Reserved
Scoring Top Customers via RFM
Frequency (F)
Ranking
Recency (R)...
PROPRIETARY + CONFIDENTIAL © 2012-2015 All Rights Reserved
Scoring Top Customers via RFM
Frequency (F)
Ranking
Recency (R)...
PROPRIETARY + CONFIDENTIAL © 2012-2015 All Rights Reserved
R + F = loyalty insights
42
X11 X21 X31 X41
X12 X22 X32 X42
X13...
PROPRIETARY + CONFIDENTIAL © 2012-2015 All Rights Reserved
$0
$1,500
$3,000
$4,500
$6,000
M = value 

43
Average total spe...
PROPRIETARY + CONFIDENTIAL © 2012-2015 All Rights Reserved
RF + M = 8 loyalty/value segments
44
High Value Customers Low V...
PROPRIETARY + CONFIDENTIAL © 2012-2015 All Rights Reserved
Categorical Segmentation
45
Best Camera/Lens Purchased
DSLR Bod...
PROPRIETARY + CONFIDENTIAL © 2012-2015 All Rights Reserved
Crossing RFM + Categorical Segments
46
Low Value High Value
Sti...
PROPRIETARY + CONFIDENTIAL © 2012-16 Familian&1, All Rights Reserved
an overview of

Big Data + Visualization
Part 5
Final...
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
A new type of knowledge worker
48
http://www.doclens.com/87922/...
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
An incredibly valuable skill
49
https://studentforce.wordpress....
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
The precipice of a daunting future?
http://waitbutwhy.com/2015/...
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
Start here
51
CHARTED.CO
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
Or here
52
TAGUL.COM
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
Or here
53
SEGMENT.COM
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
Or here
54
FAMILIAN1.COM
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
Or here
55
HTTPS://GENERALASSEMB.LY/INSTRUCTORS/SETH-FAMILIAN/4...
PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved
Or here
56
SEGMENT.COM/INTEGRATIONS
ZAPIER.COM/ZAPBOOK
PROPRIETARY + CONFIDENTIAL © 2012-16 Familian&1, All Rights Reserved
an overview of

Big Data + Visualization
And scene.
T...
Upcoming SlideShare
Loading in …5
×
Upcoming SlideShare
Digital marketing — an overview
Next
Download to read offline and view in fullscreen.

3

Share

Download to read offline

Fam1 Big Data + Visualization

Download to read offline

A lecture for Managerial Marketing students at Presidio Graduate School

Related Books

Free with a 30 day trial from Scribd

See all

Fam1 Big Data + Visualization

  1. 1. PROPRIETARY + CONFIDENTIAL © 2012-16 Familian&1, All Rights Reserved insights + interfaces for digital business an overview of Big Data + Visualization trends · tools · techniques Presented by Seth Familian // Founder + Principal 415-226-9615 // seth@familian1.com // @sethfam1
  2. 2. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved Growth Hacking A bit about me 2 corporate strategyCorporate Strategy User Experience Design Product Management Creative Procraftination Teaching + Education
  3. 3. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved ‣ Big Data Context
 How did we get here? ‣ Tools + Services
 For visualizing + analyzing big data ‣ Automated Dashboards
 From high volume data flows ‣ Loyalty Segmentation
 From customer transaction data What we’ll cover this afternoon 3
  4. 4. PROPRIETARY + CONFIDENTIAL © 2012-16 Familian&1, All Rights Reserved an overview of
 Big Data + Visualization Part 1 Big Data Context how did we get here?
  5. 5. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved Welcome to data obesity! 5http://www.datasciencecentral.com/profiles/blogs/basic-understanding-of-big-data-what-is-this-and-how-it-is-going
  6. 6. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved How big is big? 6http://www.domo.com/blog/2013/05/the-physical-size-of-big-data/ in 1 year! creates enough data to fill
  7. 7. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved Big in growth, too. 7 http://www.infosysblogs.com/brandedge/2013/04/20130419Infographc.html https://studentforce.wordpress.com/2013/09/21/umuc-big-data-revolution-is-here/
  8. 8. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved 9 Sources 8 http://www.infosysblogs.com/brandedge/2013/04/20130419Infographc.html https://studentforce.wordpress.com/2013/09/21/umuc-big-data-revolution-is-here/
  9. 9. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved 6 Types 9 { "created_at": "Thu Sep 15 16:29:08 +0000 2016", "id": 776457834095644700, "id_str": "776457834095644672", "text": "I love @glip because it makes me more productive and reliant on far fewer tools! #gliplove #goglip #gliptastic :)", "truncated": false, "entities": { "hashtags": [ { "text": "gliplove", "indices": [ 82, 91 ] }, { "text": "goglip", "indices": [ 92, 99 ]
  10. 10. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved 6 Types 10
  11. 11. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved 6 Types 11
  12. 12. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved The 4 V’s 12http://www.slideshare.net/gschmutz/ukoug2013-big-datafastdata 9 Data Sources 6 Data Types
  13. 13. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved Putting it all together 13https://datafloq.com/read/understanding-sources-big-data-infographic/338
  14. 14. PROPRIETARY + CONFIDENTIAL © 2012-16 Familian&1, All Rights Reserved an overview of
 Big Data + Visualization Part 2 Tools + Services for visualizing + analyzing big data
  15. 15. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved A busy landscape 15
  16. 16. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved Let’s simplify 16
  17. 17. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved And reframe it 17 EVENT-BASED ANALYTICS + TEXTUAL VISUAL ANALYTICS + INSIGHT PROCESSING + NORMALIZATION DATA TRANSFORMATION (ETL) ACTIVITY MODALITY DATA DISPLAY + DASHBOARDING STATISTICAL ANALYTICS VISUAL ANALYTICS
  18. 18. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved Power players 18 EVENT-BASED ANALYTICS + TEXTUAL VISUAL ANALYTICS + INSIGHT PROCESSING + NORMALIZATION VISUAL ANALYTICSSTATISTICAL ANALYTICS DATA TRANSFORMATION (ETL) DATA DISPLAY + DASHBOARDING ACTIVITY MODALITY
  19. 19. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved Splunk for any machine data 19 SPLUNK.COM
  20. 20. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved Charted for super simple charts 20 CHARTED.CO
  21. 21. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved Tagul for simple unstructured data 21 TAGUL.COM
  22. 22. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved Quid for complex unstructured data 22 QUID.COM
  23. 23. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved Quintly for social media data 23 QUINTLY.COM
  24. 24. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved Google Analytics for website traffic 24 GOOGLE.COM/ANAYTICS
  25. 25. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved Mixpanel for user event data 25 MIXPANEL.COM
  26. 26. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved Mixpanel in practice with headline-screenshot construction 26 MIXPANEL.COM
  27. 27. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved Intercom for powerful customer engagement 27 INTERCOM.IO
  28. 28. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved Skitch for rapid screenshot markup 28 SKITCH.COM
  29. 29. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved Google Sheets for simpler data aggregation 29 SHEETS.GOOGLE.COM
  30. 30. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved 30 GECKOBOARD.COM Geckoboard for complex data aggregation
  31. 31. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved Geckoboard + Klipfolio for complex unified dashboards 31 GECKOBOARD.COM KLIPFOLIO.COM
  32. 32. PROPRIETARY + CONFIDENTIAL © 2012-16 Familian&1, All Rights Reserved an overview of
 Big Data + Visualization Part 3 Automated Dashboards for high volume data flows
  33. 33. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved The “Old School” approach 33 “Long” Data Raw 
 “Header”
 File 2 1 Affiliates Lookup File Update Loop Summary Index saved searches scheduled searches TRANSFORM Instantly
 Generate EXTRACT LOAD
  34. 34. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved Segment for data processing + routing 34 SEGMENT.IO
  35. 35. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved How Segment Works 35 RAW DATA EXTRACT Core Website Enrichment of email addresses
  36. 36. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved LOAD Interconnected SaaS Tools 36 TRANSFORM Traffic Sources 
 & Session Stats RAW DATA Behavioral Segments, Funnels, Retention & LTV EXTRACT Additional aggregation and data refinement Core Website Social Engagement Footprint Unified social
 footprint metrics Enrichment of email addresses CRM data store for easy segmentation + analysis Additional context 
 on Twitter followers More flexible segments, funnels + retention metrics
  37. 37. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved Making room for “old school” approaches 37
  38. 38. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved The benefits of interconnected tools 38
  39. 39. PROPRIETARY + CONFIDENTIAL © 2012-15 Familian&1, All Rights Reserved an overview of
 Big Data + Visualization Part 4 Loyalty Segmentation from customer transaction data
  40. 40. PROPRIETARY + CONFIDENTIAL © 2012-2015 All Rights Reserved Scoring Top Customers via RFM Frequency (F) Ranking Recency (R) Ranking Monetary (M) Ranking 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1. are independently ranked into equal-sized “tiles” three times over 40 All Customers NORMAL DISTRIBUTION SKEWED-DISTRIBUTION
  41. 41. PROPRIETARY + CONFIDENTIAL © 2012-2015 All Rights Reserved Scoring Top Customers via RFM Frequency (F) Ranking Recency (R) Ranking Monetary (M) Ranking 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1. are independently ranked into equal-sized “tiles” three times over 41 All Customers 2. M scores are multiplied by 100 and F scores are multipled by 10 to create unique ranking values 100 200 300 400 500 10 20 30 40 50 1 2 3 4 5 3. MFR scores are added up for each customer to yield 125 unique MFR segments: 111 121 131 141 151 112 122 132 142 152 155 211 221 231 241 251 212 222 232 242 252 255 511 521 531 541 551 512 522 532 542 552 555 Most recent, frequent, and highest-value customers Least recent, frequent, and lowest-value customers
  42. 42. PROPRIETARY + CONFIDENTIAL © 2012-2015 All Rights Reserved R + F = loyalty insights 42 X11 X21 X31 X41 X12 X22 X32 X42 X13 X23 X33 X43 X14 X24 X34 X44 X15 X25 X35 X45 X51 X52 X53 X54 X55 High Frequency High Recency Low Frequency Low Recency Still Loyal Once Loyal New Old
  43. 43. PROPRIETARY + CONFIDENTIAL © 2012-2015 All Rights Reserved $0 $1,500 $3,000 $4,500 $6,000 M = value 
 43 Average total spent ($) by new MFR quantiles rerun for non-outlier M1 + M2 customers M1 M2 M3 M4 M5 percent: top 20% of 2nd 20% 3rd 20% 4th 20% Bottom 20% segment size: 93,134 93,139 92,861 93,406 93,143 avg. $ spent: $3,337 $1,137 $642 $412 $276 total $ spent: $345,234,826 $105,573,528 $59,348,459 $38,398,553 $25,537,936 % of total revs: 53% 32% 18% 11% 8% High-Value Customers Low-Value Customers
  44. 44. PROPRIETARY + CONFIDENTIAL © 2012-2015 All Rights Reserved RF + M = 8 loyalty/value segments 44 High Value Customers Low Value Customers Still Loyal Once Loyal New Old M1 M2 M3 M4 M5 212111 121 112 122 113 123 211 221 222 311 321 312 322 411 421 412 422 511 521 512 522 114 124 115 125 213 223 214 224 215 225 313 323 314 324 315 325 413 423 414 424 415 425 513 523 514 524 515 525 131 132 141 142 151 152 231 232 241 242 251 252 331 332 341 342 351 352 431 432 441 442 451 452 531 531 541 542 551 552 133 134 143 144 153 154 135 145 155 233 234 243 244 253 254 235 245 255 333 334 343 344 353 354 335 345 355 433 434 443 444 453 454 435 445 455 533 534 543 544 553 554 535 545 555 1 2 3 4 5 6 7 8
  45. 45. PROPRIETARY + CONFIDENTIAL © 2012-2015 All Rights Reserved Categorical Segmentation 45 Best Camera/Lens Purchased DSLR Body DSLR Lens DSLR Body + Lens Point-and-Shoot Segment Name Relationship 
 to Photography Memory Keepers Use cameras to record family memories and milestones less than 
 $650 less than 
 $300 less than 
 $950 less than 
 $450 Hobbyists Enjoy the picture-taking process; understand and use camera controls $650 - $1725 $300 - $750 $950 - $2300 $450 - $700 Prosumers Advanced skills, but do not make a living from photography $1725 - $2750 $750 - $3000 $2300 - $4200 $700 - $2500 Pros Rely on photography as a profession $2750+ $3000+ $4200+ $2500+
  46. 46. PROPRIETARY + CONFIDENTIAL © 2012-2015 All Rights Reserved Crossing RFM + Categorical Segments 46 Low Value High Value Still Loyal Once Loyal New Old Still Loyal Once Loyal New Old Memory Keepers 1 2 3 4 5 6 7 8 Hobbyists 9 10 11 12 13 14 15 16 Prosumers 17 18 19 20 21 22 23 24 Professionals 25 26 27 28 29 30 31 32 3. Cross-Tabulate 
 Top customers and categories to create behavioral and 
 loyalty-based segments 9 
 key categories
 account for 81% of sales 2. Isolate 
 the top customers and categories by total dollars spent, frequency, and recency (RFM) measures 465,683 
 top customers
 account for 88% of sales
 1,164,927 customers 807 categories 1. Aggregate 
 72 months of Internet channel transaction data, organizing by key variables 2,246,094 Internet Channel transactions 4. Generate
 Segment-specific marketing recommendations which can be further targeted by brand
  47. 47. PROPRIETARY + CONFIDENTIAL © 2012-16 Familian&1, All Rights Reserved an overview of
 Big Data + Visualization Part 5 Final Thoughts on big data + visualization
  48. 48. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved A new type of knowledge worker 48 http://www.doclens.com/87922/think-issue-7-2014/
  49. 49. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved An incredibly valuable skill 49 https://studentforce.wordpress.com/2013/09/21/umuc-big-data-revolution-is-here/
  50. 50. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved The precipice of a daunting future? http://waitbutwhy.com/2015/01/artificial-intelligence-revolution-1.html 50 Where we are: How it feels:
  51. 51. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved Start here 51 CHARTED.CO
  52. 52. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved Or here 52 TAGUL.COM
  53. 53. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved Or here 53 SEGMENT.COM
  54. 54. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved Or here 54 FAMILIAN1.COM
  55. 55. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved Or here 55 HTTPS://GENERALASSEMB.LY/INSTRUCTORS/SETH-FAMILIAN/4813
  56. 56. PROPRIETARY + CONFIDENTIAL © 2012-2016 All Rights Reserved Or here 56 SEGMENT.COM/INTEGRATIONS ZAPIER.COM/ZAPBOOK
  57. 57. PROPRIETARY + CONFIDENTIAL © 2012-16 Familian&1, All Rights Reserved an overview of
 Big Data + Visualization And scene. Thank you! let’s keep in touch seth@familian1.com // @sethfam1
  • Jujuyou

    Jan. 9, 2020
  • KangwonSong

    May. 22, 2017
  • cunniet1

    May. 9, 2017

A lecture for Managerial Marketing students at Presidio Graduate School

Views

Total views

983

On Slideshare

0

From embeds

0

Number of embeds

74

Actions

Downloads

33

Shares

0

Comments

0

Likes

3

×