Cloud BI For Business Execution

2

Explosion of data volumes

Explosion in end user demand

Costs inhibitlarge scale BIdeployments

$$$

Less time to Respond

Limited amount of data is in an EDW

Leveraging your data assets continues to get harder

3

Today’s BI reality: Capability vs. agility

Agility

Capabili

ty

• Leaves out non-technical users• Difficult to combine data from multiple sources

• Don’t Scale: Desktop solutions run out of steam at 50 users

• Not all data in enterprise data warehouse• No end-user self service• High costs and long turn-around timeframes

Ind

ivid

ual

An

aly

stEn

terp

rise

Years Quarters Months Weeks Days

Dep

art

men

tTe

am

4

Agility

Capabili

tyIn

div

idu

al

An

aly

stEn

terp

rise

Years Quarters Months Weeks Days

Dep

art

men

tTe

am

• Robust BI capabilities• Rapid deployment and

iteration• Best of both worlds, in the

cloud

Today’s BI reality: Capability vs. agility

5

Ente

rpri

seD

ata

Tie

rU

ser

Data

Tie

rBirst: 2-tier Analytics & Automated Data Refinement

Data Warehouse Existing Data Stores Apps + Big Data

User-ready Data Store

AutomatedData Refinement

Business Model and Data Navigator

ERP, CRM, SCM

6

*Patent Pending

Automated Data Refinement (ADR)*: Making data user ready

7

Ente

rpri

seD

ata

Tie

rU

ser

Data

Tie

r

Data Warehouse Existing Data Stores Apps + Big Data

User-ready Data Store

AutomatedData Refinement

Business Model and Data Navigator

ERP, CRM, SCM

Ente

rpri

se B

I Experi

ence

Birst’s World-Class Set of Enterprise BI Capabilities

Enterprise reporting

Predictive analytics

Interactivedashboards

Visual discovery

Design studio

Mobile analytics

Open ClientInterface

8

Birst ImpactInitiative

2X Increase in Assets under managementSales analytics

75% Uplift in Catalog SalesMarketing analytics

$2M increase in profitsOperational analytics

5X increase in inventory turnsSupply chain analytics

Financial analytics $7.5M increase in revenue

Digital marketing 10% increase in click-through rate

HR Analytics 80% reduction in reporting resources & time

Enter at business use case, deliver rapid results

9

Complete view of company data available to non technical users. Providing freedom to analyze all data.

Optimize end-to-end business processes (lead-to-close, quote-to-cash, etc.) by combining data from all sources.

Consistent data, no more arguments in meetings about who has right numbers!

Implement in weeks not months or years! Agile development means fast changes/iterations on deliverables.

Benefits of this new unified approach: Business

10

Plugs into and extends existing EDW, application and discovery investments.

Data is secure, stored cost effectively, and controlled centrally. Deployed in cloud or on premise.

Scales one use case at a time to thousands of users, who self serve.

Significantly lower total cost of ownership and operation compared to traditional models.

Benefits of this new unified approach: IT

11

Op

era

tion

s

Em

bed

ded

Cu

stom

er

Mark

eti

ng

Financi

al

En

terp

rise

BI

Sale

s

Delivering value across multiple use cases

12

Summary – Birst Customers Are the Happiest

Bir

st

Tab

leau

Qlik

Good

Data

Mic

roS

trate

gy

-30%

-20%

-10%

0%

10%

20%

30%

40%

50%

60%Positive

Nega-tive

Gartner Group Survey of Business Intelligence Customers, Aug 2014

Product Evaluation Frequency(Number of Unique Quarterly Pageviews)

Full-Stack Business Intelligence Platforms TrustMap™

5.0

4.5

4.0

3.5

3.0

2.5

0 2,400 4,800 7,200 9,600 12,000

Avera

ge U

ser-

Rati

ng

Trust Radius Survey of Full Suite BI Clients, December 2014

“ No. 1 in product functionality and customer (that is, product quality, no problems with software, support) and sales experience.”

13

Our business value is different.Operationalizing more data, one business case at a time. Every person, every decision, made better.

Our technology is different.Cloud BI. 2-tier Analytics and BI.Unique Automated Data Refinement.

Our point of view is different.Not just about the front end -- the data is the critical piece. Agility and consistency of data are key.

In Conclusion: Birst is different!