The document discusses SBI Consulting, a SAS Business Intelligence consulting firm that offers solutions such as forecasting, demand planning, and customer intelligence using SAS software. SBI Consulting provides high-quality consulting services for business intelligence including implementing SAS Visual Analytics solutions with features such as separate test and production environments, release management, and hosting SAS Visual Analytics on an internal server farm. The document provides an overview of SBI Consulting's offerings and an example of how they could implement and host a SAS Visual Analytics solution for a customer.

1. SAS
VISUAL
ANALYTICS

2. SBI Consulting
References
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3. SBI Consulting
Who are we?
Silver Partner
SBI Consulting is a
dynamic, close-knit team of
SAS® Business Intelligence
experts.
We offer our customers :
•Solutions,
•forecast, demand planning and Sales & Operations planning using SAS Software
such as: Enterprise guide and Forecast Studio
•Customer Intelligence using Data Mining, Marketing Automation and Optimization
•High-quality services in Business Intelligence
SBI Consulting is part of
the Cronos Group
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4. SBI Consulting
What makes us Different
SBI = Commitment
If you engage with SBI, you get a team, not individuals
We get things done no matter what.
We offer Solutions.
We work together with the customer and are proactively looking to add value.
Our Competences added value are above market standard
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5. SBI Offering
Solutions
A
R
C
H
I
T
E
C
T
U
R
E
Analytics
EMiner, Forecast Server, Optimization
DWH
or DM
DM
DM
DM
ETL services SAS DI – Data Flux
Data
Source
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Data
Source
Data
Source
Products
Products
Data
Source
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6. Vertical Approach
Financial
Institutions
Industry
Basel III
S&OP
Solvency II
Customer Intelligence
Customer Intelligence
Business Value Assessments
Migration services
Architecture
Architecture
Audits
Pharma
Public
Architecture
Clinical Trials
Data Warehouse
Audits
Web reporting
Web Reporting
Visual Analytics
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Data Integration and
Preparation
Data integration and
Preparation
Audits
Migration
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7. Visual Analytics – the big picture
Operational
Systems
ODS
ODS
Subset
ODS
ODS
Subset
ODS
VA
Data
Mart
Report
Report
Data
Report
Data
Set Report
Data
Set
Data
Set
Set
ODS
Subset
Enterprise
Guide
Power users
Data Exploration
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8. Data Quality
Naming Conventions
Field Formats
Variable names
Silver Partner
•Same meaning – different naming
•Different formats
•Date – Numeric – Character
•Capitals vs lower case
•Usage of codes
Changes in meaning and
grouping
•Historical changes
Different origins of data
sets
•Accounting
•Operational system
•External data
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9. Visual Analytics – Implementation Requirements
It should be possible to develop reports in a
flexible manner
Development or modification of reports
shouldn’t affect ‘production’ reports consulted
by end-users
Exploration of data by power users should be
possible
Observation: some of the above requirements
mandate the use of separate environments
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10. Visual Analytics – Implementation (1)
Introduction of a
production (PRD)
environment
End-user reports
should:
be available when
needed
(Automatic) scheduled
snapshotting of data
from ODS  VA Data
Mart  Report Data
Sets
be based on a controlled
version of the data
Controlled release of
reports, new or
modified to production
environment
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11. Visual Analytics – Implementation (2)
Introduction of a
development/test
(TST) environment
It should be
possible to:
develop reports in a
flexible manner
Ad-hoc snapshotting of
data from ODS  VA
Data Mart  Report Data
Sets based on
development
requirements
Development or
modification of reports
shouldn’t affect
‘production’ reports
consulted by end-users
TST environment
independent of PRD
environment
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12. Visual Analytics – Implementation (3)
Give power users readonly access to data in
VA Data Mart and VA
Report Data Sets
Exploration of data by
power users should be
possible
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13. Visual Analytics – Environments
Operational
Systems
ODS
Subset
TST
Report
Report
Data
Report
Data
Set Report
Data
Set
Data
Set
Set
VA
Data
Mart
Ad-hoc release process
ODS
Controlled Release Process
ODS
Subset
PRD
Report
Report
Data
Report
Data
Set Report
Data
Set
Data
Set
Set
VA
Data
Mart
Scheduled release process
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14. Visual Analytics – Considerations
Proper release
management requires
segregation of duties
•Release manager
⬌Developer ⬌End
-user
Scheduled release
management
•Batch job management
Versioning control
•Provide possibility to revert
to proven, working state
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15. Visual Analytics – hosted implementation (1)
SBI performs/provides
•Installation & configuration of SAS Visual Analytics on internal server
farm
•Flexible deployment environment
•Isolated environment (server, network, storage) per customer
•Manage environment (backup, software updates, security)
•Scale in function of customer needs (compute power, memory, data
storage)
•Integration with customer ODS
•Development of VA Data Mart
•Development of initial VA Report Data Sets & VA Reports
•Release management from TST to PRD
•Remote access via VPN
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16. Visual Analytics – hosted implementation (2)
Customer X
Internet
Internet
Secure Gateway
Internet
Secure Gateway
SBI/Arxus
SAS VA Server
Customer X
TST
PRD
Mobile
User
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