All Grown Up: Maturation of Analytics in the Cloud

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[email protected]


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!  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!


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December: Innovators

January: Big Data

February: Analytics

March: Discovery


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!  Cloud computing has come a long way and can now offer an array of hosted services: software (SaaS), platform (PaaS), infrastructure (IaaS), as well as other services and resources (storage, security, API, desktop, etc.).

!  Cloud services can be deployed as public, private, or as a hybrid according to needs.

!  From an IT perspective, cloud computing can provide the agility

to add capabilities and scale on the fly with virtually no capital or human investment.

!  From a business perspective, the cloud can offer benefits such as unified data access, faster time-to-value and self-service analytics.


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Wayne Eckerson has been a thought leader in the data warehousing, business intelligence and performance management fields since 1995. He has conducted numerous in-depth research studies and is the author of the best-selling book “Performance Dashboards: Measuring, Monitoring, and Managing Your Business.” He is a noted keynote speaker and blogger, and he consults and conducts workshops on business analytics, performance dashboards, and business intelligence, among other topics. For many years, Wayne served as director of education and research at The Data Warehousing Institute (TDWI). Wayne is also a principal consultant at BI Leader Consulting and a founder of BI Leadership Forum. Wayne is also director of research at TechTarget. He can be reached at [email protected].


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! Birst offers a SaaS-based, multi-tenant BI platform. It can also be deployed on-premise.

!   The Birst solution is capable of unifying siloed technologies, automating data management and providing agile enterprise-class analytics.

!   The Birst approach enables business users to manage and add new data sources, create custom dashboards and collaborate across the organization — without dependency on IT.


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Brad Peters is the CEO and co-founder of Birst. Brad has spent the last 10 years building analytics products and solutions. Prior to working at Birst, he helped found and later led the Analytics product line at Siebel Systems, which forms the basis of Oracle’s current OBIEE product family. Recognizing the limitations of enterprise analytics offerings and the revolutionary power of Cloud technologies, Brad founded Birst in 2005. Brad started his career as an investment banker for Morgan Stanley in the New York M&A practice. Brad regularly blogs for Forbes.com where he writes about Cloud and business software related issues. Brad received a BS and MS in electrical engineering and computer science from UC Berkeley, where he was a National Science Foundation Fellow. He received his MBA from Harvard Business School.

ALL GROWN UP: MATURATION OF ANALYTICS IN THE CLOUD

Brad Peters CEO and Co-‐Founder

November 6, 2012

9

PROMISE OF THE CLOUD

10

BUSINESSES RUNS ON APPS

11

Marke>ng

HR

Sales/Service

ERP/Finance

Planning

Others

• Unique Processes • Unique Apps

THE END-‐TO-‐END ANALYTICS PROBLEM

Connect to Source ApplicaCons

• Connect securely • Extract data • Full • Incremental

Denormalize Data

• Produce “aggregatable” data • Create/flaSen hierarchies for roll-‐ups • Consolidate sources • Cleanse data

Create Dimensional Model • Iden>fy what can be aggregated • Manage changes and history • Snapshots • Slowly changing aSributes

Create Business Model • Seman>c layer • Allows business users to create queries without knowing SQL or underlying physical structure

Distribute • Publish pre-‐digested data (reports)

• Create interac>ve analysis (dashboards)

• Adhoc/ visualiza>on

• Embed in apps

CLOUD 1.0 DISAPPOINTED


• Connect securely • Extract data • Full (upload data) • Incremental




• Embed in apps

A NEW ERA

14

WHAT THIS GIVES YOU

15

• Rapid Deployment • Quick Itera>on

• No Limits • Any app • Mul>ple deployments

• Full analy>c capabili>es

• Mul>ple access models

Speed Flexibility Power

DEMONSTRATION

16

END-‐TO-‐END CAPABILITIES


• Connect securely • Extract data • Full • Incremental

Denormalize Data

• Produce “aggregatable” data • Create/flaSen hierarchies for roll-‐ups • Consolidate sources • Cleanse data

Create Dimensional Model • Iden>fy what can be aggregated • Manage changes and history • Snapshots • Slowly changing aSributes

Create Business Model • Seman>c layer • Allows business users to create queries without knowing SQL or underlying physical structure




• Embed in apps

ABOUT BIRST

Slide 18

Key Birst Facts: •  #1 Cloud BI Provider Market & Product Leader • More than 1,000 organiza>ons rely on Birst •  Founded in 2005


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BI in the Cloud: AdopCon Trends

Wayne Eckerson

www.bileadership.com 20

Using the Cloud for any part of your BI program?

21 www.bileadership.com

Yes -‐ 36%

No -‐ 64%

0

BI Leadership Forum Survey of 112 BI Directors, June, 2011

What type of Cloud Infrastructure?


53%

18%

30%

Public Cloud

Private Cloud

Hybrid

Top Reason to use the Cloud?


30%

30%

19%

11%

5%

5%

Speed of implementa>on

Reduced HW/SW maintenance

Flexibility

Cost

Performance

Other

Planning to Increase in Next 12 Months?


65%

16%

16%

3%

Increase

Stay the same

Not sure

Decrease

Top Reason NOT to use the Cloud?


33%

32%

9%

7.2%

5.8%

4%

3%

3%

1%

Security

Other

Performance

No execu>ve support

Corporate policy

Vendor lock-‐in

Reliability

Difficult to use

Pricing too complex

QuesCons

www.bileader.com 26

BI has proven more challenging to do in the cloud than other solware segments largely because it involves custom development. In other words, you can’t purchase a one-‐size-‐fits-‐all BI package. While some cloud BI vendors have gone the package route, you have not.

•  Do you plan to deliver BI packages for various industries or func>onal areas?

•  How do you automate the development process to deliver func>onal applica>ons over the cloud?

•  How does your business model differ from cloud BI vendors offering packaged BI cloud applica>ons? In other words, how is it possible to make money building custom applica>ons using a subscrip>on pricing model?

QuesCons

www.bileader.com 27

•  With the advent of your BI appliance, are you a cloud BI vendor

with some on premise solware, or are you an on premise vendor with some cloud solware?

•  Is it possible for users to create a hybrid BI environment, where

some processing is done in the cloud and some on premise? What types of processing are best suited to each plaqorm?

Bio/Contact informaCon


•  Thought leader in BI field •  Founder, BI Leadership Forum •  Director of Research, TechTarget •  Former director of research at The Data

Warehousing Ins>tute •  Author

Wayne W. Eckerson [email protected]


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This month: Cloud

December: Innovators

January: Big Data

2013 Editorial Calendar www.insideanalysis.com


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All Grown Up: Maturation of Analytics in the Cloud

Technology

data management

business analytics

predigested data

new data sources

source denormalize data

business users

unified data access

business intelligence