1. Grab some coffee and enjoy
the pre-show banter before
the top of the hour!

2. Data Discovery and BI: Is There Really a Difference?
The Briefing Room

3. Welcome
Host:
Eric Kavanagh
eric.kavanagh@bloorgroup.com
Twitter Tag: #briefr
The Briefing Room

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!
Twitter Tag: #briefr
The Briefing Room

5. Topics
This Month: INNOVATORS
January: ANALYTICS
February: BIG DATA
2014 Editorial Calendar at
www.insideanalysis.com/webcasts/the-briefing-room
Twitter Tag: #briefr
The Briefing Room

6. Data Discovery & Visualization
INNOVATORS
Twitter Tag: #briefr
The Briefing Room

7. Analyst: John O’Brien
John O’Brien is
Principal and CEO of
Radiant Advisors
Twitter Tag: #briefr
The Briefing Room

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
Twitter Tag: #briefr
The Briefing Room

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.
Twitter Tag: #briefr
The Briefing Room

10. Enterprise-caliber Cloud BI
DATA DISCOVERY VS BI
What is the difference.
What do you need.
How do they relate.

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

18. Perceptions & Questions
Analyst:
John O’Brien
Twitter Tag: #briefr
The Briefing Room

19. 19
DATA DISCOVERY
AND BI
Is there really a difference?
Inside Analysis – The Briefing Room with Birst
December 3, 2013
John O’Brien | Principal Analyst and CEO, Radiant Advisors
@obrienjw @radiantadvisors
john.obrien@radiantadvisors.com
© Copyright 2013 Radiant Advisors. All Rights Reserved
v1.10.000

20. Data Discovery and BI: Is there really a difference?
BI AND DISCOVERY PROCESS
BI Process
Discovery Process
• Defining business goals metrics
• Analyzing business processes
• Identifying operational data
• Define business logic and rules
• Define mapping and quality rules
• Clear business goal (mission)
• Inherent business knowledge
• Access data and work with context
• Ability to iterate analytic models
• Ability to share and verify findings
Analysis -> Design -> Develop
Discover -> Verify -> Govern
Reports: Define what happened
OLAP: Defined metrics/dimensions
Dashboards: Defined metrics/goals
Discovered context to governed
Discovered analytic models
Data shows how the business works
Scorecards: Defined KPIs/variance
Data shows how the market works
© Copyright 2013 Radiant Advisors. All Rights Reserved
v1.10.000

21. Data Discovery and BI: Is there really a difference?
CHARACTERISTICS OF DISCOVERY
Enable Highly Iterative
Access, assemble, verify, deploy process and modern data platform
Enable fail-fast, short shelf life, personalized to enterprise context
Self-Sufficiency is the New Self-Service
Agility and data integration through abstraction usage
Capability to acquire and work with data
Intuitive Visualization Tools Oriented
Enabling many business analysts not just programmers
Discovery happens with the user but needs to be in the platform
© Copyright 2013 Radiant Advisors. All Rights Reserved
v1.10.000

22. Data Discovery and BI: Is there really a difference?
NEW FOR DISCOVERY
Governing People, Roles, Responsibilities
Define roles and responsibilities for accessing and working with data
Define ownership and delegation for semantic context discovered
Governing Discovery Results
Governing semantic context after discovery
Operationalizing and monitoring analytic models
Modern Data Platforms
Managing data abstraction and mixed workloads
Defining discovery or analytic sandboxes as dev, prod or both
© Copyright 2013 Radiant Advisors. All Rights Reserved
v1.10.000

23. Data Discovery and BI: Is there really a difference?
UNLOCKING VALUE WITH MANY USERS
More
Analysts
Many Many
Consumers
Very Few
Data Scientists
HCatalog
Power Users
PIG
Hive
BI Tool
DB
Value
Analysts &
Casual Users
ç
MapReduce
Hadoop HDFS
© Copyright 2013 Radiant Advisors. All Rights Reserved
v1.10.000
Users Involved

24. Data Discovery and BI: Is there really a difference?
GOVERNING SEMANTIC CONTEXT
Context leveraged
Context(s) leveraged
Structured
BI Tools
Direct access
Context in structures
Context in structures
Individual
Context
with Data
Scientists
Centralized
Context in
abstraction
MapReduce
M/R
PIG
Context in
Data
Scientists
Hive
PIG
Centralized
Context in
abstraction
Hive
Unstructured
Context in abstraction
HCatalog
MapReduce
Hadoop HDFS
Hadoop HDFS
More Rigid
More Agile
© Copyright 2013 Radiant Advisors. All Rights Reserved
v1.10.000

25. Data Discovery and BI: Is there really a difference?
GOVERNING SEMANTIC CONTEXT
Structured
BI Tools
Direct access
Context in structures
Context in structures
Individual
Context
with Data
Scientists
Centralized
Context in
abstraction
MapReduce
M/R
PIG
Context in
Data
Scientists
Hive
PIG
Centralized
Context in
abstraction
Hive
Unstructured
Context in abstraction
HCatalog
MapReduce
Hadoop HDFS
Hadoop HDFS
More Rigid
More Agile
© Copyright 2013 Radiant Advisors. All Rights Reserved
v1.10.000

26. Data Discovery and BI: Is there really a difference?
DISCOVERY IN THE BI PROCESS
Many More Analysts
Iterate
More
Analysts/Modelers
M/R
HCatalog
Very Few
Data Scientists
Hadoop HDFS
Defined Context
Available to
Structured Database
© Copyright 2013 Radiant Advisors. All Rights Reserved
v1.10.000
BI
Tool
Verify
BI
Tool
Discover
Context
PIG
Migrate
Test
Hive
Discover
Many Many Consumers
Few
Analysts/
Modelers

27. For more information
www.RadiantAdvisors.com
Twitter:
@RadiantAdvisors #ModernBI #RediscoveringBI
RSS:
feed://radiantadvisors.com/feed/
Email:
info@RadiantAdvisors.com
LinkedIn:
www.linkedin.com/company/radiant-advisors
Subscribe: Rediscovering BI quarterly e-magazine
www.radiantadvisors.com/rediscoveringbi
THANK YOU!
© Copyright 2013 Radiant Advisors. All Rights Reserved
v1.10.000

28. Inside Analysis – Birst
ANALYST QUESTIONS
A Birst differentiator is your Cloud based approach.
1. Do you access, load, integrate company on-premise data to cloud?
2. Is there a ‘with or without’ Amazon Redshift option?
3. Do you recommend that Discovery be an environment in the cloud?
Birst has a uniform logical layer as part of its self-service architecture.
4. Do users or administrators create abstractions or views within Birst?
5. Can users share and collaborate their logical models or discoveries?
Visualization is a powerful intuitive way to work with data.
6. How do you prepare your users for choosing visualizations correctly?
© Copyright 2013 Radiant Advisors. All Rights Reserved
v1.10.000

29. Twitter Tag: #briefr
The Briefing Room

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
Twitter Tag: #briefr
The Briefing Room

31. Thank You
for Your
Attention
Twitter Tag: #briefr
The Briefing Room