The Briefing Room
Welcome                       Host:                       Eric Kavanagh                       eric.kavanagh@bloorgroup.com...
Mission  !   Reveal the essential characteristics of enterprise software,      good and bad  !   Provide a forum for detai...
JANUARY: Big Data February: Analytics March: Open Source April: IntelligenceTwitter Tag: #briefr   The Briefing Room
Big Data                                                                               Copyrighted property. May not be co...
Analyst: Lyndsay Wise                       Lyndsay Wise is the president and                       founder of WiseAnalyti...
Tableau Software    !   Tableau builds software for data visualization, business        intelligence and analytics    !   ...
Ellie Fields     Ellie Fields is the Director of     Product Marketing at Tableau     Software. She has spoken at     nume...
Connecting the Dots            Ellie Fields Senior Director, Tableau Software           @eleanorpd
Then: Big data everywhere, various data stores, data stuck andno insight – billions of rows of data.
Now: Centralized view into data   across the organization.  Analytics to drive the site.
Then: Doctors, nurses, all staff want to use data to improve    the quality of service.
Now: Self service reporting foreveryone. 800+ people using multiplesources of data to answer questions.
The Problem: Volume of Data     Businesses are struggling to unlock exploding data
The Problem: Diverse Data Businesses and their people are struggling to unlock diverse data
The Problem: Old School Software   Traditional technologies are complicated, inflexible and slow moving
What Happens in the Real World
FasterRapidly unlock data, even big data, and gain on-time insight
FlexibleTransform all types of data into self-service analytics
For EveryoneEase of use leads to adoption across all departments and use cases
Customers10,000 customers from every industry and geography
DEMO
Perceptions & Questions                       Analyst:                       Lyndsay WiseTwitter Tag: #briefr             ...
Big	  Data	  -­‐	  Then	  	  	                                        Etc….	  Consolida6ng	  and	  managing	  distributed	...
Big	  Data	  Now	             Data	  Warehouse	  OLAP	        Dashboards	         Reports	                Added	  Valu	   ...
Value	  From	  Big	  Data	  
From	  Management	  To	  Insight	  •  Managing	  big	  data	  infrastructures	  are	  no	     longer	  enough	  •  Organiz...
Ques6ons	  •  Big	  data	  is	  defined	  a	  variety	  of	  ways	  in	  the	     industry	  today	  –	  what	  is	  Tablea...
Ques6ons	  •  What	  is	  the	  real	  differen6ator/value	     proposi6on	  in	  comparison	  to	  how	  other	     simila...
Ques6ons	  •  What	  limita6ons	  exist	  in	  rela6on	  to	  data	     volumes	  or	  added	  complexi6es?	  •  What	  tr...
Twitter Tag: #briefr   The Briefing Room
Upcoming Topics   This month: Big Data   February: Analytics   March: Open Source   April: Intelligence   www.insideanalys...
Thank You                        for Your                       AttentionTwitter Tag: #briefr               The Briefing R...
Connecting the Dots with Data Mashups
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Connecting the Dots with Data Mashups

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The Briefing Room with Lyndsay Wise and Tableau Software
Live Webcast on Jan. 15, 2013

While Big Data continues to grab headlines, most information managers know there are many more “small” data sets that are becoming more valuable for gaining insights. That’s partly because business users are getting savvier at mixing and matching all kinds of data, big and small. One key success factor is the ability create compelling visualizations that clearly show patterns in the data.

Check out this episode of The Briefing Room to hear Analyst Lindsay Wise share insights about best practices for designing data visualization mashups. She’ll be briefed by Ellie Fields of Tableau Software who will demonstrate several different business use cases in which such mashups have proven critical for generating significant business value.

Visit: http://www.insideanalysis.com

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Connecting the Dots with Data Mashups

  1. 1. The Briefing Room
  2. 2. Welcome Host: Eric Kavanagh eric.kavanagh@bloorgroup.comTwitter Tag: #briefr The Briefing Room
  3. 3. Mission !   Reveal the essential characteristics of enterprise software, good and bad !   Provide a forum for detailed analysis of today s innovative technologies !   Give vendors a chance to explain their product to savvy analysts !   Allow audience members to pose serious questions... and get answers!Twitter Tag: #briefr The Briefing Room
  4. 4. JANUARY: Big Data February: Analytics March: Open Source April: IntelligenceTwitter Tag: #briefr The Briefing Room
  5. 5. Big Data Copyrighted property. May not be copied or downloaded without permission from 123RF Limited.COMBINING DATA FINDING MEANINGFUL DATA SETS GLEANING INSIGHTSTwitter Tag: #briefr The Briefing Room
  6. 6. Analyst: Lyndsay Wise Lyndsay Wise is the president and founder of WiseAnalytics, a boutique analyst and consultancy firm. Lyndsay has ten years of IT experience in business systems analysis, software selection, and implementation of enterprise applications. She provides consulting services for small and mid-sized companies and conducts research into leading technologies, market trends, BI products and vendors, mid-market needs, and data visualization.Twitter Tag: #briefr The Briefing Room
  7. 7. Tableau Software !   Tableau builds software for data visualization, business intelligence and analytics !   Their stated mission is to help people see and understand data !   Its platform is designed for ease of use by both power and casual usersTwitter Tag: #briefr The Briefing Room
  8. 8. Ellie Fields Ellie Fields is the Director of Product Marketing at Tableau Software. She has spoken at numerous industry events for business intelligence as well as for data journalism. Prior to Tableau, Ellie worked at Microsoft and in late-stage venture capital. Ellie is a graduate of Rice University and the Stanford Graduate School of Business.Twitter Tag: #briefr The Briefing Room
  9. 9. Connecting the Dots Ellie Fields Senior Director, Tableau Software @eleanorpd
  10. 10. Then: Big data everywhere, various data stores, data stuck andno insight – billions of rows of data.
  11. 11. Now: Centralized view into data across the organization. Analytics to drive the site.
  12. 12. Then: Doctors, nurses, all staff want to use data to improve the quality of service.
  13. 13. Now: Self service reporting foreveryone. 800+ people using multiplesources of data to answer questions.
  14. 14. The Problem: Volume of Data Businesses are struggling to unlock exploding data
  15. 15. The Problem: Diverse Data Businesses and their people are struggling to unlock diverse data
  16. 16. The Problem: Old School Software Traditional technologies are complicated, inflexible and slow moving
  17. 17. What Happens in the Real World
  18. 18. FasterRapidly unlock data, even big data, and gain on-time insight
  19. 19. FlexibleTransform all types of data into self-service analytics
  20. 20. For EveryoneEase of use leads to adoption across all departments and use cases
  21. 21. Customers10,000 customers from every industry and geography
  22. 22. DEMO
  23. 23. Perceptions & Questions Analyst: Lyndsay WiseTwitter Tag: #briefr The Briefing Room
  24. 24. Big  Data  -­‐  Then       Etc….  Consolida6ng  and  managing  distributed  and  large  data  sets  
  25. 25. Big  Data  Now   Data  Warehouse  OLAP   Dashboards   Reports   Added  Valu   Added  Value  
  26. 26. Value  From  Big  Data  
  27. 27. From  Management  To  Insight  •  Managing  big  data  infrastructures  are  no   longer  enough  •  Organiza6ons  require  a  way  to  get  value  out   of  their  data  •  Evalua6ng  BI  on  its  merit  in  rela6on  to  big   data  management  is  becoming  a  must  have   for  many  businesses  
  28. 28. Ques6ons  •  Big  data  is  defined  a  variety  of  ways  in  the   industry  today  –  what  is  Tableau’s  sweet   spot  within  big  data  analy6cs?  Does  it  extend   beyond  diversity  and  volume?  •  The  two  examples  you  used  focus  on  data   consolida6on  and  self-­‐service  access  for   hundreds  (if  not  thousands)  of  people.  How   are  other  companies  using  Tableau  to   address  their  big  data  challenges?  
  29. 29. Ques6ons  •  What  is  the  real  differen6ator/value   proposi6on  in  comparison  to  how  other   similar  vendors  address  big  data  challenges?  •  When  would  a  company  not  want  to  use   Tableau  to  manage  their  big  data?  •  How  does  Tableau  provide  faster  data  access   (slide  11  reference)?  Do  limita6ons  exist,  i.e.,   does  this  depend  on  the  plaZorm,  etc.?  
  30. 30. Ques6ons  •  What  limita6ons  exist  in  rela6on  to  data   volumes  or  added  complexi6es?  •  What  trends  do  you  see  in  rela6ons  to   customer  use  and  the  transi6on  from  big   data  storage  to  big  data  analy6cs?  •  For  organiza6ons  evalua6ng  Tableau  for  big   data  access,  what  do  they  need  to  know  or   prepare  in  advance  to  get  the  system  up  and   running?  
  31. 31. Twitter Tag: #briefr The Briefing Room
  32. 32. Upcoming Topics This month: Big Data February: Analytics March: Open Source April: Intelligence www.insideanalysis.comTwitter Tag: #briefr The Briefing Room
  33. 33. Thank You for Your AttentionTwitter Tag: #briefr The Briefing Room
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