Information Builders provides the industry’s most scalable software solutions for data management and analytics. We help organizations operationalize and monetize their data through insights that drive action. Our integrated platform for BI, analytics, data integration, and data quality, combined with our proven expertise, delivers value faster, with less risk. We believe data and analytics are the drivers of digital transformation, and we’re on a mission to help our customers capitalize on new opportunities in the connected world. Information Builders is headquartered in New York, NY, with global offices, and remains one of the largest privately held companies in the industry.
23. Problems with Normal Data Integration Processes
Data modeling. Too much time spent coping with slight changes
in our business data
Business/IT alignment. Data architects, DBAs, and others can’t
communicate with businesspeople
Processes. Too much detail lost by handing off responsibility for
business data to different people
24. Problem: Data Modeling
Too much time spent coping with slight changes in our business data
Johann Sebastian Bach
Given Middle Family
25. Mougi
Problem: Data Modeling
Too much time spent coping with slight changes in our business data
Johann Sebastian Bach
Given Middle FamilyHon.
Dmitri ShostakovichDmitriyevich
Mohamed el
Muhammad Qasabgial
Patronymic Art.
Ludwig van Beethoven
ChenYi
Repeated changes in operational systems’ row-and-column structures
26. Problem: Data Modeling
Ripple effects of changes in one system lead to changes in others
Mougi
Johann Sebastian Bach
Given Middle FamilyHon
Dmitri ShostakovichDmitriyevich
Mohamed el
Muhammad Qasabgial
Patronymic Art
Ludwig van Beethoven
ChenYi
Operational, designed for transactions
Data warehouse, designed for abstractions
Sebastian
Middle
Dmitriyevich
Patronymic
el
al
Art
Hon
van
Mougi
Bach
Family
Shostakovich
Qasabgi
Beethoven
Chen
Johann
Given
Dmitri
Mohamed
Muhammad
Ludwig
Yi
Data mart, designed for analysis
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Mougi
Johann Sebastian Bach
Given Middle FamilyHn
Dmitri ShostakovichDmitriyevich
Mohamed el
Muhammad Qasabgial
Patronymic Art
Ludwig vn Beethoven
ChenYi
Sebastian
Sebastian
Sebastian
el
el
el
Dmitriyevich
Dmitriyevich
Dmitriyevich
Dmitriyevich
Mougi
Johann Sebastian Bach
Given Middle FamilyHn
Dmitri ShostakovichDmitriyevich
Mohamed el
Muhammad Qasabgial
Patronymic Art
Ludwig vn Beethoven
ChenYi
Mougi
Johann Sebastian Bach
Given Middle Family
Dmitri Shostakovich
Mohamed
Muhammad Qasabgi
Ludwig Beethoven
ChenYi
Sebastian
Mougi
Johann Sebastian Bach
Given Middle Family
Dmitri Shostakovich
Mohamed
Muhammad Qasabgi
Ludwig Beethoven
ChenYi
Sebastian
Sebastian
Sebastian
Sebastian
Sebastian
27. Problem: Business/IT Alignment
Data people often can’t communicate with businesspeople
Data architect thinks
Model the data
Govern the data
Watch out for “quick fixes”
IT:
Gets it
That modeling stuff
we just talked about
Business:
Hates it
Business thinks
Modeling, metadata are hindrances
Analytical tools best without governance
IT slows them down
28. Problem: Processes
Too much information lost by distributing responsibility for business data
Cleansing occurs in transformation step: Different rules being fired
Different tools and metadata being used by platform
Loss of timestamps, context, before-and-after: No cross-platform auditability
No comprehensive rollback, alternate history, what-if
Operational
application
Data
warehouse
Cloud
application
F
a
m
i
l
y
Transformation
Cleansing
Standardization
Transformation
Cleansing
Standardization
29. F
a
m
i
l
y
F
a
m
i
l
y
How much time do we
spend mapping one set
of rows and columns
to another?
Modern Data Integration
A modern solution:
post-relational for data capture, transformation,
subject-oriented storage (perhaps), and exchange,
rich documents instead of relational models
Operational
application
Data
warehouse
Analytics
30. How much time do we
spend mapping one set
of rows and columns
to another?
Modern Data Integration
A modern solution:
post-relational for data capture, transformation,
subject-oriented storage (perhaps), and exchange,
rich documents instead of relational models
Operational
application
Data
warehouse
Analytics
33. Modern Data Integration: The Omni-Gen Approach
We built software to make ourselves successful
Immediate capture in automatically generated data hub
Master data: business-user-oriented, subject-oriented
Rapid, integrated data quality rules
Mastered and transactional subjects
Rapid cycle times to keep the business engaged
Support and automatically apply best practices
34. Modern Data Integration: The Omni-Gen Approach
Extending Value
We built “persona models” for customer and supplier
Everything you get in Omni-Gen, plus
Pre-built models
Pre-built data quality rules
Pre-built match/merge rules
Pre-built data governance
Immediate 360° core view, unlimited extensions
Supports different consumers with different, but trusted, data
35. Omni-Gen: More Value in Far Less Time
12-181-3 4-6
Project timeline, in months
Traditional
Data management tools
Build-it-yourself development environment
Omni-Gen
Software solution with built-in best practices
MDM, DQ, integration software with rules,
automatically generated data vault, remediation portal,
360° viewer, history, data interfaces, APIs, and feeds
Omnifor
Persona
Software solution with built-in best practices and complete master data models
Data vault model, data onramps; MDM, data quality, and integration software; MDM
and data quality rules, remediation portal, 360° viewer; Data interfaces, APIs,
history, & feeds; Analytical foundation for dashboarding, advanced analytics, more.