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SaaS data access & integration best practices for Business Intelligence

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Chances are, you’re using more SaaS applications and services than ever before. In fact, Gartner has identified Cloud as one of 2013’s four biggest technology trends. …

Chances are, you’re using more SaaS applications and services than ever before. In fact, Gartner has identified Cloud as one of 2013’s four biggest technology trends.

According to a recent survey by Dimensional Research, 92% of IT executives agree that cloud solutions and services offer clear business benefits – saving time and money for capturing vital enterprise data, while enhancing flexibility.

But, what happens when you want to collate and analyze that data for competitive advantage?

The same research report found that 88% of IT executives are experiencing significant challenges with managing different SaaS business applications or services. And, 67% report issues integrating data between SaaS applications.

The point? An overwhelming majority of enterprise IT executives are concerned that their SaaS data is trapped in silos, unable to be accessed and integrated to provide business users with the unified and timely analytics they need to make crucial business decisions.

Sound familiar?

This presentation - SaaS data access & integration best practices for Business Intelligence – demonstrates how to easily access your SaaS data in the Cloud for advanced reporting, from any source, in real-time.

Provide your business users with the right insights, at the right time, via a self-service BI environment – minus the complex, lengthy and expensive data migration and integration processes.

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  • 1. SaaS data access & integration best practices for BI Presenters: Cameron Deed Senior Consultant, Yellowfin Murray Dunn Vice President, The Connection Cloud
  • 2. Today’s agenda•  The adoption of SaaS and volume of SaaS data is rapidly increasing…•  What are the challenges this creates for business?•  Why are we challenged with Access to SaaS data?•  How can we better address these challenges?
  • 3. The volume of SaaS data is rapidlyincreasing…
  • 4. We’re entering the age of ‘Big Data’
  • 5. To the moon and back…
  • 6. Big Data = SaaS data?
  • 7. Why is this a potential problem?
  • 8. Why is the ability to access andintegrate your SaaS data vital?
  • 9. Traditional challenges when accessing your SaaS data…•  Crea%ng
report
and
Analyzing
data
from
 •  Mul%ple
SaaS
applica%ons
 •  Cloud
and
On‐premise
applica%ons
•  Snapshots
when
you
need
it,
real‐%me
when
you
need
it
•  Extending
the
capabili%es
of
SaaS
applica%on
repor%ng
•  FormaBng
data
including
charts
and
graphs
•  Analyzing
large
datasets
(Big
Data)

  • 10. So, how do companies solve thischallenge today?•  The
.CSV
file
shuffle
•  The
Data
Warehouse
Project
•  Data
Replica%on


  • 11. The .CSV File Shuffle
  • 12. The .CSV File Shuffle
  • 13. The .CSV File Shuffle
  • 14. The .CSV File Shuffle
  • 15. The On-PremiseData Warehouse Project
  • 16. The Data Warehouse Project
  • 17. The Data Warehouse Project
  • 18. The Data Warehouse Project
  • 19. The Data Warehouse Project
  • 20. The Data Warehouse Project
  • 21. The Data Warehouse Project
  • 22. The Data Warehouse Project
  • 23. Data Replication
  • 24. Data Replication Salesforce  NetSuite  Zuora  Eloqua  Zendesk  










 
 










 
 










 
 










 
 










 
 DATA  DATA  DATA  DATA  DATA 
  • 25. Data Replication Salesforce  NetSuite  Zuora  Eloqua  Zendesk  










 
 










 
 










 
 










 
 










 
 DATA  DATA  DATA  DATA  DATA   Data Integra:on / Data Synchroniza:on 
  • 26. Data Replication Salesforce  NetSuite  Zuora  Eloqua  Zendesk  










 
 










 
 










 
 










 
 










 
 DATA  DATA  DATA  DATA  DATA   Data Integra:on / Data Synchroniza:on 
  • 27. SaaS Access & IntegrationBest Practices for BI
  • 28. Best Practice #1 Keep it in the Cloud
  • 29. Integrate in the Cloud
  • 30. Best Practice #2 Maintain One Source of the “Truth”
  • 31. Maintain One Source of the “Truth”
  • 32. Best Practice #3 Time to Value
  • 33. Deliver immediate value to yourbusiness users Time to Value: How long does it take to deliver actionable data to your business?
  • 34. Best Practice #4 Use Standards When and Where They Exist
  • 35. Use Standards Where They Exist
  • 36. Use Standards Where They Exist SQL
 SSL
 ODBC
 JDBC

  • 37. Best practice #5 Cloud Data Virtualization
  • 38. Cloud Data Virtualization Real‐%me
 Salesforce:
Opportuni%es
 *and*

 Zendesk:
Customer
Issues
Warehoused
Data
 Virtual
Table:
Customer
Status
 Intacct:
Customer
Billing

  • 39. So, how can you make these bestpractices a reality?
  • 40. Solution: Connection Cloud & Yellowfin Real‐%me
 Salesforce:
Opportuni%es
 *and*

 Zendesk:
Customer
Issues
Cloud
Warehouse
 Intacct:
Customer
Billing
 Data

  • 41. Solution: Connection Cloud & Yellowfin
  • 42. Solution: Connection Cloud & Yellowfin
  • 43. Solution: Connection Cloud & Yellowfin
  • 44. Demonstration
  • 45. Summary •  Your number of SaaS applications, and volume of SaaS data is growing rapidly - so how are you going to leverage it? •  Access to SaaS-based data presents new challenges •  Best Practices: •  Consider Time-to-Value Delivered as the new measure of Success •  Keep it in the Cloud •  One Source of the Truth •  Use standards when and where they exist •  Cloud Data Virtualization is the Cloud Data Approach •  Yellowfin and Connection Cloud Deliver the Ultimate Time-To- Value solution
  • 46. More informationYear | LastYellowfinwww.yellowfinbi.comConnection Cloudwww.connectioncloud.com @YellowfinBI @ConnectionCloudFeedback & Questionscameron.deed@yellowfin.com.aumurray.dunn@elasticintelligence.com Yellowfin LinkedIn Group Connection Cloud LinkedIn Group
  • 47. Q&A