How to Achieve Agility with Analytics

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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!


!   June: Intelligence

!   July: Disruption

!   August: Analytics

!   September: Integration

!   October: Database

!   November: Cloud



!   Business Intelligence technologies are designed to let organizations take all their capabilities and convert them into knowledge, ultimately getting the the right information to the right people at the right time.

!   As data tends to come from increasingly disparate sources, it is crucial that BI tools provide the means to access data from anywhere, anytime.

!   Emerging technologies around the cloud are making the BI process more accessible to both IT and business users.


Robin Bloor is Chief Analyst at The Bloor Group.

Analyst: Robin Bloor

[email protected]

!   End-to-end BI

!   Embedded, multi-tenant SaaS platform

!  On-premise or cloud deployments

!  Robust and flexible dashboards


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. 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. He 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.


AGILE BUSINESS ANALYTICS AND BIRST

Brad Peters, CEO and co-‐Founder

June 19, 2012

BIRST TODAY

•  Over 1,000 organiza=ons rely on Birst across all ver=cals –  175+ direct customers –  Mostly Midsized/Departmental Enterprises

•  65% direct/35% channel (OEM) •  Typical deployment have mul=ple data sources with large data volumes (>100’s M records)

10

BIRST CUSTOMERS INTEGRATE DATA FROM

11

ROBUSTNESS OF SUITE WITH AGILITY OF DISCOVERY

BI Suites

Agility

Capa

bility

12

WHY ORGANIZATIONS CHOOSE BIRST

ü  Only Enterprise class, mul=-‐tenant, SaaS BI plaTorm on the market –  Leading provider of embedded SaaS BI

ü  End-‐to-‐end BI is more powerful than data discovery tools

ü  Reduced opera=onal complexity –  Public or Private Cloud op=ons –  All the benefits of SaaS without the constraints

ü  Economic advantage –  Opera=ng expense vs. capital expenditure –  Lower TCO -‐ As li^le as 1/3 the cost of tradi=onal BI / Analy=cs plaTorms

13

AGILE BUSINESS ANALYTICS ARCHITECTURE

14

Birst Cloud Birst Appliance

UNPARALLELED DEPLOYMENT FLEXIBILITY

15

OPTIMIZING SPEED & COST FOR ALL NEEDS

16

Speed

Scale

MS SQL Server In-‐memory DB Columnar DB Hadoop/Hive

1GB 10GB 100GB 1TB 10TB 100TB

BIRST FOR VISUALIZATION

BIRST FOR DASHBOARDS

BIRST FOR REPORTING

BIRST FOR AD-‐HOC

DEMONSTRATION

FIND OUT MORE

•  Test Drive Birst –  Register at birst.com/freetrial

•  Join a Birst live demo –  Every Wed at 11:00 am PT/

2:00 pm ET –  Register at Birst.com

•  Contact us –  Email: [email protected] –  Phone: (866) 940-‐1496

Slide 22



!  Hindsight: Regular reporting/operational BI

!  Oversight: Dashboards, OLAP, BPM, etc.

!   Insight: Data mining, statistical analysis (trends and relationships)

!   Foresight: Predictive analytics


!  Data Flow Integration/automation

!  Performance/timeliness (overall)

!  Data Coverage: Data sources, also structured/unstructured data

!   Effective representation of data

!  User self-service

!  Actionable (manually)

!  Automated action

!  Completeness





•  Front-end BI tools often include capabilities that assist in organizing effective data flow. In what ways does Birst assist with data flow architecture?

•  Your company was one of the first in the BI sector to leverage the power of the cloud. Two questions:

•  What proportion of your customer bases chooses cloud (SaaS) deployment?

•  What specifically does Birst view as the advantages of cloud (SaaS) deployment?

•  What is Birst’s capability in respect of unstructured and multi-structured data?


•  Your graph that characterizes different data sources implies high scalability. Can you speak to Birst’s capability in use with large data stores (including Hadoop)?

•  Two of your competitors have in-memory database capability for use on PCs. Does this give them an analytical speed advantage over Birst or does Birst deliver similar analytical speeds?

•  One aspect of usability in BI is the ability to create mash-ups. Does Birst have any specific capability that assists in this?

•  An increasingly important emphasis in BI is on actionability. Are there any characteristics of Birst that assist in integrating BI with business processes?

•  Does Birst have any specific capabilities that assist with mobile BI and collaborative BI key directions?


!   June: Intelligence

!   July: Disruption

!   August: Analytics

!   September: Integration

!   October: Database

!   November: Cloud

Date post:	20-Aug-2015
Category:	Technology
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How to Achieve Agility with Analytics

Technology