SAS
VISUAL
ANALYTICS
SBI Consulting
References

23/12/2013

2
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
23/12/2013

3
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

23/12/2013
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
23/12/2013

Data
Source

Data
Source

Products

Products

Data
Source
5
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

23/12/2013

Data Integration and
Preparation

Data integration and
Preparation

Audits

Migration

6
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
23/12/2013

Page 7
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
8

23/12/2013
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
Page 9

23/12/2013
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

Page 10

23/12/2013
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

Page 11

23/12/2013
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

Page 12

23/12/2013
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
Page 13

23/12/2013
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
Page 14

23/12/2013
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
Page 15

23/12/2013
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

Page 16

23/12/2013

Sbi_VA

  • 1.
  • 2.
  • 3.
    SBI Consulting Who arewe? 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 23/12/2013 3
  • 4.
    SBI Consulting What makesus 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 23/12/2013
  • 5.
    SBI Offering Solutions A R C H I T E C T U R E Analytics EMiner, ForecastServer, Optimization DWH or DM DM DM DM ETL services SAS DI – Data Flux Data Source 23/12/2013 Data Source Data Source Products Products Data Source 5
  • 6.
    Vertical Approach Financial Institutions Industry Basel III S&OP SolvencyII 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 23/12/2013 Data Integration and Preparation Data integration and Preparation Audits Migration 6
  • 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 23/12/2013 Page 7
  • 8.
    Data Quality Naming Conventions FieldFormats 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 8 23/12/2013
  • 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 Page 9 23/12/2013
  • 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 Page 10 23/12/2013
  • 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 Page 11 23/12/2013
  • 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 Page 12 23/12/2013
  • 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 Page 13 23/12/2013
  • 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 Page 14 23/12/2013
  • 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 Page 15 23/12/2013
  • 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 Page 16 23/12/2013