The Briefing Room with John O'Brien and Birst
Live Webcast Dec. 3, 2013
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?AT=pb&SP=EC&rID=7869542&rKey=1f6574abc879ca42
While the disciplines of business intelligence and discovery certainly overlap, there are key distinctions between the two, both in terms of design point and user interface. While traditionally it is believed different architectures are required to address these differing analytic needs, is that really the case? Or is discovery simply another key capability within an overall BI platform?
Register for this episode of The Briefing Room to learn from veteran Analyst John O'Brien of Radiant Advisors as he outlines best practices for enabling high-quality business intelligence and discovery, and the architectural capabilities to enable both. He'll be briefed by Brad Peters of Birst who will tout his company's cloud BI platform. In particular, Peters will demonstrate how the Birst architecture was especially designed for enterprise-caliber BI and argue for a more inclusive future BI architecture.
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4. 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!
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5. Topics
This Month: INNOVATORS
January: ANALYTICS
February: BIG DATA
2014 Editorial Calendar at
www.insideanalysis.com/webcasts/the-briefing-room
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6. Data Discovery & Visualization
INNOVATORS
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7. Analyst: John O’Brien
John O’Brien is
Principal and CEO of
Radiant Advisors
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8. Birst
! Birst offers a SaaS-based, multi-tenant BI and data
discovery 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
! Birst’s approach enables self-service analytics and data
discovery by allowing business users to manage and add new
data sources, create custom dashboards and collaborate
across the organization
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9. Guest: Southard Jones
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.
Southard Jones is Birst’s VP, Product Strategy. Southard was previously
the Vice President of Products at SCIenergy, a leading provider of Energy
Management Analytics to commercial buildings, where he transformed
product and go-to-market strategy leading the company to a five-fold
growth in quarterly ACV bookings. Prior to SCIenergy, as Vice President of
Products he led Right90, a pioneer in SaaS sales forecasting, from startup to acquisition. His software career started at Siebel where he ran
Performance Management and Workforce Analytics product lines in
Siebel’s fastest growing business unit, Siebel Analytics.
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11. WHAT DRIVES NEED FOR
DIFFERENT TOOLS?
Data Discovery
Users
Use Case
Give
data
business
context
• A few application tables
• Single spreadsheets
• Business databases
Explore &
visualize
data
relationships
Financial
Analyst
Give
data
business
context
Create
analytic
applications
Knowledge
Worker
Data Analyst
Knowledge
Worker
Enterprise BI
• Enterprise applications
• Multiple disparate sources
• Home-grown applications
Give data
analytic
and
historical
structure
Use
analytics as
part of daily
business
process
Operations
Manager
Executive
Reporting
Manager
11
12. WHY ARE THEY SEPARATE?
Use Cases
Users
Data Discovery & Enterprise BI
Explore &
visualize
data
relationships
• A few application tables
• Single spreadsheets
• Business databases
Give
data
business
context
• Enterprise applications
• Multiple disparate sources
• Home-grown applications
Give data
analytic
and
historical
structure
Create
analytic
applications
Use
Analytics as
part of daily
process
Financial
Analyst
Data Analyst
Knowledge
Worker
Operations
Manager
Executive
Reporting
Manager
12
13. VISUAL ANALYTIC SILOS: "
4 FAST ANSWERS TO 1 QUESTION
Why did western region revenue drop unexpectedly last quarter?
Revenue = Qty * Price (ship date)
Revenue = Qty * Price (delivery date)
Revenue = Qty * Price * Discount (ship date)
Revenue = Qty * Price * Discount (delivery date)
Does anyone even know exactly what our western
region revenue was last quarter?
13
14. LOGICAL LAYER:"
1 ACCURATE & FAST ANSWER TO 1 QUESTION
Logical
Layer
Why did western region revenue drop unexpectedly last quarter?
Revenue = Qty * Price * Discount (delivery date)
Inventory stock-outs in select retail stores resulted in
unexpected backlog on lower revenue
14
15. ENTERPRISE CALIBER CLOUD BI
Private Cloud
Finance
Data
CRM
Data
OperaAons
Data
More
Data
(SQL,
XML,
File,
MDX)
Public Cloud
Appliance
Live
Query
Automated Warehouse
Data
Extract
Discovery
ODS
Web-based
published
Unified
Logical
Model
DW
Dashboards
mobile
Reports
Sandbox
embedded
Sandbox
PredicAve
real-time
*patented automation
15
16. WHO IS BIRST
• Enterprise-Caliber BI Platform
– born in the cloud
• 4,000+ organizations rely on
Birst across all verticals
• Founded by Siebel Analytics
veterans
• 60+ Strategic Partners
“ No. 1 in product functionality and customer
(that is, product quality, no problems with
software, support) and sales experience.”
16
17. DIFFERENT TOOLS FOR
DIFFERENT USE CASES
Data
Use
Case
Example
Why
Discovery
A
few
tables
and
addiAonal
flat
files
Explore
new
data
relaAonships
Product
manager
explores
idea
of
launching
new
product
Rapid
Ame
to
explore
and
play
with
mulAple
possibiliAes
Large
flat
files
Ad-‐hoc
discovery
on
new
data
MarkeAng
analyst
reviews
Rapid
Ame
to
access
new
data
and
build
one-‐off
analysis
A
few
applicaAon
tables
Explore
analyAcs
for
future
dashboards
Sales
operaAons
explores
CRM
data
for
dashboard
ideas
Quick
turn-‐around
and
iteraAon
on
analyAc
design
Data
Use
Case
Example
Why
BI
Hundreds
of
Create
analyAc
applicaAons
tables
applicaAons
Sales
ops
creates
dashboards
from
CRM
for
sales
reps
to
manage
day-‐to-‐day
Transform
transacAonal
data
to
analyAc
data
and
deliver
reusable
&
secure
dashboards
TransacAonal
applicaAon
data
Analyze
the
velocity
of
your
business
Ops
manager
analyze
speed
of
an
order
through
manufacturing
Ability
to
capture
history
and
compare
to
current
performance
Disparate
sources
with
different
structures
Analyze
business
Analyze
and
manage
cross-‐
across
applicaAons
funcAonal
KPIs
like
customer
lifeAme
value
Data
integraAon
and
ability
to
handle
changes
in
organizaAonal
dimensions
17
30. Upcoming Topics
This Month: INNOVATORS
January: ANALYTICS
February: BIG DATA
2014 Editorial Calendar at
www.insideanalysis.com/webcasts/the-briefing-room
www.insideanalysis.com
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