enabling flexible governance for all data sources
DESCRIPTION
The Briefing Room with Robin Bloor and Birst Live Webcast on Feb. 5, 2013 All the effort that goes into data governance can quickly be lost if effective guard rails aren't in place. However, end users invariably need additional data sets in order to get a complete picture of what's happening. All too often, some or all of those additional data sources have not yet run the gauntlet of governance. Striking a balance between core and contextual data can help ensure that your business stays on top of opportunities without straying from the path. Check out this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor, who will explain the nuances of integrating governed and ungoverned data in ways that business users can easily leverage. He'll be briefed by Brad Peters of Birst who will demonstrate how managed data mashups can provide the kind of flexibility and agility that can lead to valuable insights. He'll explain how Birst's architecture can significantly lighten the load on IT without sacrificing data integrity, security or governance. Visit: http://www.insideanalysis.comTRANSCRIPT
The Briefing Room
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Mission
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FEBRUARY: Analytics
March: OPERATIONAL INTELLIGENCE
April: INTELLIGENCE
May: INTEGRATION
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The Briefing Room
Analytics
Flexibility Integrity Accessibility
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Analyst: Robin Bloor
Robin Bloor is Chief Analyst at The Bloor Group
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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
! Birst’s approach enables self-service analytics by allowing business users to manage and add new data sources, create custom dashboards and collaborate across the organization
Birst
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Brad Peters
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.
REIN IN DATA CHAOS: BRINGING FLEXIBLE GOVERNANCE TO ALL
DATA SOURCES
Brad Peters CEO and Co-‐Founder February 5, 2013
• A centralized data warehouse • Data is “clean” and run through rigorous checks • IT is the steward of master data
BI AS ORIGINALLY CONCEIVED
10
• A centralized data warehouse • Data is “clean” and run through rigorous checks • IT is the steward of master data
BI AS ORIGINALLY CONCEIVED
11
• A centralized data warehouse • Data is “clean” and run through rigorous checks • IT is the steward of master data X Except It Doesn’t Work As AdverDsed • Does not scale organizaJonally • Very inflexible • IT cannot possibly take responsibility for all data • For users where 100% of their data is not in the warehouse, they must resort to extracts
BI VERSION 2.0 -‐ HUB AND SPOKE
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• Warehouse is a “staging area” • Departments build their own data sets • IT is the steward of master data
BI VERSION 2.0 -‐ HUB AND SPOKE
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• Warehouse is a “staging area” • Departments build their own data sets • IT is the steward of master data X Except It Also Doesn’t Work • Scales slightly beRer • Hugely labor and integraJon intensive • Requires deep technical skill at mart level • Loss of central data integrity
• Latency • Loss of control and governance • No standards for uJlizing central data • No “single version of truth”
WHAT REALLY HAPPENS
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Extracts Are Taken And Combined With Local Data In Excel For One-‐off Analysis • No single version of truth • Infrequent analysis and stale data
Business Users “Go Rogue”
WHAT REALLY HAPPENS
15
Extracts Are Taken And Combined With Local Data In Excel For One-‐off Analysis • No single version of truth • Infrequent analysis and stale data
Business Users “Go Rogue”
• Really need an environment that can host mulJple different sets of data – some high quality, some not
• That allows IT to manage their data • But allows other organizaJons to self-‐serve with their own data AND, most importantly, combine these data sets
• I.e. You need a mulJ-‐tenant analyJcs infrastructure with that allows business users to manage their own data
MANAGED DATA MASHUPS
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BIRST ARCHITECTURE
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Example: Sales AnalyJcs Datamart (Birst Managed)
CreaJng a package
Simple campaign data source loaded separately in self-‐contained space
Import Contacts and Sales OpportuniJes Package
Use Birst Modeling to link Package Objects to New Campaign Data Source
End-‐user can select columns from either place seemlessly
Metadata coming from parent space
Metadata coming from child space
ABOUT BIRST
Slide 24
Key Birst Facts • #1 Cloud BI Provider Market & Product Leader
• Over 1,000 organizaJons rely on Birst across all verJcals • Direct customers
• ISV’s for embedded analyJcs
• Typical deployment have mulJple data sources with large data volumes (>100’s M records)
FIND OUT MORE
Test Drive Birst Express • Register at birst.com/express
Join a Birst live demo • Register at birst.com/livedemo
Contact us • Email: [email protected] • Phone: (866) 940-‐1496
Slide 25
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The Briefing Room
Analyst: Robin Bloor
Perceptions & Questions
The Bloor Group
The Bloor Group
Data Pools and Flows
DATA POOLS
! Transactional databases
! Data warehouse
! Operational data store
! Hadoop
! Data marts
! Desktop data
! Data integration flows
! External streams
! Emails, texts, etc.
! Log files
! RFID, embedded sensors
! People data (social media)
! Archiving
DATA FLOWS
The Bloor Group
Data Flow Processes
ETL HADOOP/DBMS (QUERIES)
CLEANSING
GOVERNANCE
SECURITY
BI/ANALYTICS
The Bloor Group
The Data Flow Analytics Issue
The Bloor Group
The Challenge And at the same time, the data has to move as fast
as possible…
The Bloor Group
The Challenge And at the same time, the data has to move as fast
as possible…
THIS IS NOT SO EASY TO ACHIEVE
The Bloor Group
! In my presentation I highlight the issue of “repetitive self-service.” Is this something that Birst can cater for?
! Performance is in our view increasingly becoming a factor in “data flow management.” How does Birst scale to meet escalating performance demands?
! Can you describe the nature of the automated multi-dimensional database – what workloads does it optimize?
Questions
The Bloor Group
! How does Birst fit data governance in with the flow of data?
! Which types of business/size of business do you see as most suited to this capability?
! Which companies/products do you regard as competitors (either direct or near)?
! Which companies/products do you partner with?
! Does Birst offer this as an appliance?
Questions
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Upcoming Topics
This month: Analytics March: Operational Intelligence
April: Intelligence
May: Integration www.insideanalysis.com
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