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Toru Takahashi
TreasureData, Inc.
2015-07-02
What is Support Engineer in TreasureData?
Support Engineer Night #1
®
T R E A S U R E D A T A
About Me
• Toru Takahashi
• twitter: @nora96o
• github: toru-takahashi
• Treasure Data, Inc.
• Technical Support Engineer
• I love working in Maid café :)
• Most of staying in 女中居酒屋 幻橙館
2
Today’s Topics
• Tools / Services
• Roles / Missions
• Challenges
®
T R E A S U R E D A T A3
Tools / Services
4
®
T R E A S U R E D A T A
TreasureData WebConsole
How to ask us?
1. Email: support@treasure-data.com
2. Online Chat
3. Support Center
How to ask us?
1. Email: support@treasure-data.com
2. Online Chat
3. Support Center
How to ask us?
1. Email: support@treasure-data.com
2. Online Chat
3. Support Center
How do we help customer?
Support Desk: Desk.com
How do we help customer?
Online Chat: Olark
How do we help customer?
Bug tickets: Atlassian Jira & Wiki
How do we help customer?
Notification: Slack(with Desk.com)
How do we help customer?
Customer Activity: Preact (with Desk.com)
Customer Account Info
Customer Activities
We support
Everything about TreasureData
• Import
• td-agent, td command, Javascript/Android/iOS/Unity SDK
• Fluentd Library: Java, Ruby, Rails, Python, PHP, Perl, Node.js, Scala, .Net, …
• DataConnector (hosted embulk)
• Amazon S3, MySQL, PostgreSQL, JIRA
• Heroku (log drains)
• Query Engine
• Hive0.10, 0.13 (Hivemall), Pig, Presto
• BI/ETL/Workflow Tools
• Excel, Tableau, Luigi, MetricInsights, QlickView, Birst, Chartio, Informatica Cloud, SQuirreL SQL, SQL
Workbench/J, JasperSoft, Pentaho, R Language, Prestogres, Jupyter + Pandas
• Client Library
• Ruby, Java, Python, Go, Node.js, JDBC Driver, ODBC Driver, PHP(3rd party), …
• Export
• MySQL, PostgreSQL, SalesForce, S3, Redshift, Google SpreadSheet, HTTP, Tableau Server, FTP,
Leftronic
• Environment
• TreasureData(AWS), Yahoo! BigData Insights(IDCF cloud)
*Red means the feature was released within 1year
Our documents describe …
What kind of questions do customers ask?
Why job was slow? Why does job show error?
• Fix or improve query
• Check service status
• File ticket or Notification to Engineer
Why? I can’t import or output data
• Check configuration
• Try to reproduce
• File ticket or Notification to Engineer
Want to do anything! Want a feature!
• Recommend new approach
• File requests
Others
• Meeting with customers
• Support for Yahoo! BigData Insights
• Support for Pre-sales
• etc…
What questions do customers ask?
Ex. Improve customer’s query (Bad query)
SELECT
ac.v['action'] AS action,
ac.v[‘category’] AS category
count(bt.v['uid']) AS num
FROM breakaway_time bt
LEFT OUTER JOIN access ac
ON bt.v['time']=ac.v['time'] AND bt.v['uid']=ac.v['uid']
WHERE unix_timestamp()-10*86400 < CAST(bt.v['time'] AS BIGINT)
AND unix_timestamp()-10*86400 < CAST(ac.v['time'] AS BIGINT)
GROUP BY ac.v[‘action’], ac.v[‘category’]
2h 30mins
What questions do customers ask?
Ex. Improve customer’s query (Good query)
SELECT
ac.action AS action,
ac.category AS category,
count(bt.uid) AS num
FROM breakaway_time bt
LEFT OUTER JOIN access ac
ON bt.time=ac.time AND bt.uid=ac.uid
WHERE TD_TIME_RANGE(bt.time, TD_TIME_ADD(TD_SCHEDULED_TIME(), "-10d"))
AND TD_TIME_RANGE(ac.time, TD_TIME_ADD(TD_SCHEDULED_TIME(), "-10d"))
GROUP BY ac.category, ac.action
Set schema
Apply TIME INDEX PUSHDOWN
Set schema
Order by high cardinally
30mins
What questions do customers ask?
Ex. Investigate customer’s logs
We use TreasureData for Support !
About number of new support tickets
2014-10 week.1~2015-07 week.1

Online Chat Traffic by Date (JST)
2014-10 week.1~2015-07 week.1

Number of New cases / Week
(Total: 2,338 cases)
0
16.667
33.333
50
66.667
83.333
100
2014-09-29
2014-10-13
2014-10-27
2014-11-10
2014-11-24
2014-12-08
2014-12-22
2015-01-05
2015-01-19
2015-02-02
2015-02-16
2015-03-02
2015-03-16
2015-03-30
2015-04-13
2015-04-27
2015-05-11
2015-05-25
2015-06-08
2015-06-22
34
72
76
64
7376
60
76
46
52
92
59
54
48
58
74
69
56
84
73
46
81
63
84
70
44
9
31
545552
45
56
51
38
26
81
52
61
43
New Case Linear Line
19
Roles / Missions
®
T R E A S U R E D A T A
One of Our Mission is …
CHURN GHOST BUSTERS
Organization from Support View
22
Support
Customer
Product & Engineer Sales & Customer Success
Scopes of Support
Lead%
Genera)on%/%
Opportunity%
Finding
Requirement%
Capturing
PoC%/%
Technical%
Valida)on
Onboarding Produc)on
Pre-Sales
Customer

Success
Technical

Support
Engineer

&

Product
Support Roles
Support for Customer
• Quick Response
• Correct Reply
Get Customer Satisfaction
24
Support
Customer
Product & Engineer
Sales & Customer
Success
Support Roles
Support for Product & Engineer
25
Support
Customer
Product & Engineer
Sales & Customer
Success
• Deliver customer voices
Improve Service
• Great Service
Get Customer Satisfaction
Support Roles
Support for Sales
• Find frustration and New
business from customer
voice
Buster Churn & Get Up-sell
Support
Customer
Product & Engineer
Sales & Customer
Success
26
Challenges
®
T R E A S U R E D A T A
Challenges until next 1~2 months to
reduce support costs
• Share internal support works
• Migration from Desk.com to Zendesk
• Built Customer Community Portal
• Integrate Mail/Chat
• Build Customer Database
• Environment/Architecture/Mission/…
• Share with Pre-Sale/CustomerSuccess/Support/Engineer
• Pick up Support KPI
28
Challenge: Share internal support works
Jupyter / Pandas / Github / TreasureData / …
29
Challenge: Migration from Desk.com to
Zendesk
• Get Suggestions and Ideas from customers via
Customer Community Portal
• Integrate Mail & Chat
• Know customer insights
30
Challenge: Build Customer Database
Share customer information through processes
for smooth communication
31
Lead%
Genera)on%/%
Opportunity%
Finding
Requirement%
Capturing
PoC%/%
Technical%
Valida)on
Onboarding Produc)on
Pre-
Sales
Custo
mer

Techni
cal

Engine
er
Challenge: Pick up Support KPI
• How do we measure support’s performance?
• Number of resolved tickets?
• Ratings from customers?
• etc…
32
Conclusions
®
T R E A S U R E D A T A
Support knows
own Technologies than
Customers
®
T R E A S U R E D A T A
Support knows
Customers more than
Anyone
®
T R E A S U R E D A T A
Support loves
own Service more than
Anyone
®
T R E A S U R E D A T A
1. Backend Engineer
2. Support Engineer
3. OSS Engineer

(日本,東京,丸の内)
We’re hiring!

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What is support_engineer_in_treasuredata

  • 1. Toru Takahashi TreasureData, Inc. 2015-07-02 What is Support Engineer in TreasureData? Support Engineer Night #1 ® T R E A S U R E D A T A
  • 2. About Me • Toru Takahashi • twitter: @nora96o • github: toru-takahashi • Treasure Data, Inc. • Technical Support Engineer • I love working in Maid café :) • Most of staying in 女中居酒屋 幻橙館 2
  • 3. Today’s Topics • Tools / Services • Roles / Missions • Challenges ® T R E A S U R E D A T A3
  • 4. Tools / Services 4 ® T R E A S U R E D A T A
  • 6. How to ask us? 1. Email: support@treasure-data.com 2. Online Chat 3. Support Center
  • 7. How to ask us? 1. Email: support@treasure-data.com 2. Online Chat 3. Support Center
  • 8. How to ask us? 1. Email: support@treasure-data.com 2. Online Chat 3. Support Center
  • 9. How do we help customer? Support Desk: Desk.com
  • 10. How do we help customer? Online Chat: Olark
  • 11. How do we help customer? Bug tickets: Atlassian Jira & Wiki
  • 12. How do we help customer? Notification: Slack(with Desk.com)
  • 13. How do we help customer? Customer Activity: Preact (with Desk.com) Customer Account Info Customer Activities
  • 14. We support Everything about TreasureData • Import • td-agent, td command, Javascript/Android/iOS/Unity SDK • Fluentd Library: Java, Ruby, Rails, Python, PHP, Perl, Node.js, Scala, .Net, … • DataConnector (hosted embulk) • Amazon S3, MySQL, PostgreSQL, JIRA • Heroku (log drains) • Query Engine • Hive0.10, 0.13 (Hivemall), Pig, Presto • BI/ETL/Workflow Tools • Excel, Tableau, Luigi, MetricInsights, QlickView, Birst, Chartio, Informatica Cloud, SQuirreL SQL, SQL Workbench/J, JasperSoft, Pentaho, R Language, Prestogres, Jupyter + Pandas • Client Library • Ruby, Java, Python, Go, Node.js, JDBC Driver, ODBC Driver, PHP(3rd party), … • Export • MySQL, PostgreSQL, SalesForce, S3, Redshift, Google SpreadSheet, HTTP, Tableau Server, FTP, Leftronic • Environment • TreasureData(AWS), Yahoo! BigData Insights(IDCF cloud) *Red means the feature was released within 1year Our documents describe …
  • 15. What kind of questions do customers ask? Why job was slow? Why does job show error? • Fix or improve query • Check service status • File ticket or Notification to Engineer Why? I can’t import or output data • Check configuration • Try to reproduce • File ticket or Notification to Engineer Want to do anything! Want a feature! • Recommend new approach • File requests Others • Meeting with customers • Support for Yahoo! BigData Insights • Support for Pre-sales • etc…
  • 16. What questions do customers ask? Ex. Improve customer’s query (Bad query) SELECT ac.v['action'] AS action, ac.v[‘category’] AS category count(bt.v['uid']) AS num FROM breakaway_time bt LEFT OUTER JOIN access ac ON bt.v['time']=ac.v['time'] AND bt.v['uid']=ac.v['uid'] WHERE unix_timestamp()-10*86400 < CAST(bt.v['time'] AS BIGINT) AND unix_timestamp()-10*86400 < CAST(ac.v['time'] AS BIGINT) GROUP BY ac.v[‘action’], ac.v[‘category’] 2h 30mins
  • 17. What questions do customers ask? Ex. Improve customer’s query (Good query) SELECT ac.action AS action, ac.category AS category, count(bt.uid) AS num FROM breakaway_time bt LEFT OUTER JOIN access ac ON bt.time=ac.time AND bt.uid=ac.uid WHERE TD_TIME_RANGE(bt.time, TD_TIME_ADD(TD_SCHEDULED_TIME(), "-10d")) AND TD_TIME_RANGE(ac.time, TD_TIME_ADD(TD_SCHEDULED_TIME(), "-10d")) GROUP BY ac.category, ac.action Set schema Apply TIME INDEX PUSHDOWN Set schema Order by high cardinally 30mins
  • 18. What questions do customers ask? Ex. Investigate customer’s logs We use TreasureData for Support !
  • 19. About number of new support tickets 2014-10 week.1~2015-07 week.1
 Online Chat Traffic by Date (JST) 2014-10 week.1~2015-07 week.1
 Number of New cases / Week (Total: 2,338 cases) 0 16.667 33.333 50 66.667 83.333 100 2014-09-29 2014-10-13 2014-10-27 2014-11-10 2014-11-24 2014-12-08 2014-12-22 2015-01-05 2015-01-19 2015-02-02 2015-02-16 2015-03-02 2015-03-16 2015-03-30 2015-04-13 2015-04-27 2015-05-11 2015-05-25 2015-06-08 2015-06-22 34 72 76 64 7376 60 76 46 52 92 59 54 48 58 74 69 56 84 73 46 81 63 84 70 44 9 31 545552 45 56 51 38 26 81 52 61 43 New Case Linear Line 19
  • 20. Roles / Missions ® T R E A S U R E D A T A
  • 21. One of Our Mission is … CHURN GHOST BUSTERS
  • 22. Organization from Support View 22 Support Customer Product & Engineer Sales & Customer Success
  • 23. Scopes of Support Lead% Genera)on%/% Opportunity% Finding Requirement% Capturing PoC%/% Technical% Valida)on Onboarding Produc)on Pre-Sales Customer
 Success Technical
 Support Engineer
 &
 Product
  • 24. Support Roles Support for Customer • Quick Response • Correct Reply Get Customer Satisfaction 24 Support Customer Product & Engineer Sales & Customer Success
  • 25. Support Roles Support for Product & Engineer 25 Support Customer Product & Engineer Sales & Customer Success • Deliver customer voices Improve Service • Great Service Get Customer Satisfaction
  • 26. Support Roles Support for Sales • Find frustration and New business from customer voice Buster Churn & Get Up-sell Support Customer Product & Engineer Sales & Customer Success 26
  • 27. Challenges ® T R E A S U R E D A T A
  • 28. Challenges until next 1~2 months to reduce support costs • Share internal support works • Migration from Desk.com to Zendesk • Built Customer Community Portal • Integrate Mail/Chat • Build Customer Database • Environment/Architecture/Mission/… • Share with Pre-Sale/CustomerSuccess/Support/Engineer • Pick up Support KPI 28
  • 29. Challenge: Share internal support works Jupyter / Pandas / Github / TreasureData / … 29
  • 30. Challenge: Migration from Desk.com to Zendesk • Get Suggestions and Ideas from customers via Customer Community Portal • Integrate Mail & Chat • Know customer insights 30
  • 31. Challenge: Build Customer Database Share customer information through processes for smooth communication 31 Lead% Genera)on%/% Opportunity% Finding Requirement% Capturing PoC%/% Technical% Valida)on Onboarding Produc)on Pre- Sales Custo mer
 Techni cal
 Engine er
  • 32. Challenge: Pick up Support KPI • How do we measure support’s performance? • Number of resolved tickets? • Ratings from customers? • etc… 32
  • 33. Conclusions ® T R E A S U R E D A T A
  • 34. Support knows own Technologies than Customers ® T R E A S U R E D A T A
  • 35. Support knows Customers more than Anyone ® T R E A S U R E D A T A
  • 36. Support loves own Service more than Anyone ® T R E A S U R E D A T A
  • 37. 1. Backend Engineer 2. Support Engineer 3. OSS Engineer
 (日本,東京,丸の内) We’re hiring!