More Related Content More from Gabriel Barliga (20) Biz Analytics Cluj 2015 - Daniel Pana1. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
THE ANALYTICS
2. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
INFORMATION
MANAGEMENT
CHALLENGES
• Demand on data is increasing
• Complexity of data usage is growing
• Expansion of the user base
• Demand for quick response is growing
3. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
BIG DATA AND
ANALYTICS
KEY CONSIDERATIONS
4. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
BIG DATA AND
ANALYTICS
KEY CONSIDERATIONS
Analytics
Platforms
Structured data
Unstructured data
Information management
“Big Data”
5. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
“Data that exceeds the processing capacity
of conventional database systems.”
BIG DATA WHAT IS IT?
6. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
BIG DATA AND
ANALYTICS
KEY CONSIDERATIONS
Data
Platforms
Report
Analyze
Predict outcomes
Quantifiable benefit
7. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
ANALYTICS THE LIFECYCLE
IDENTIFY
BUSINESS
PROBLEM
DATA
PREPARATION
DATA
EXPLORATION
TRANSFORM
& SELECT
ANALYTICAL
MODELING
VALIDATE
MODELS
DEPLOY
MODELS
EVALUATE /
MONITOR
RESULTS
Providing “out of the box,”
usable analytics to anyone
Approachable
Analytics
User Oriented
Easy-to-use with self-service
capabilities, while allowing IT
to manage and govern
Anywhere, Anytime
Delivering intelligence through
the web, mobile intelligence
Industry Specific
Expertise
Combining the strengths of SAS
solutions and technologies with
industry-specific domain expertise
8. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
ANALYTICS WHERE IS ANALYTICS TODAY? CONTINUUM
9. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
ANALYTICALLY
NEW
ANALYTICALLY
AWARE
ANALYTICALLY
INFORMED
ANALYTICALLY
DRIVEN
ANALYTICALLY
INNOVATIVE
LEVEL 1
LEVEL 2
LEVEL 3
LEVEL 4
LEVEL 5
Isolated
analytics use.
Basic tools and
limited or no
best practices
Predictive analytics
usage is part of
mission critical
applications only.
Full benefits are not
understood by a
majority in the
organization.
Analytics usage
consists primarily of
tactical and ad hoc
approaches.
Analytics dev. and
deployment is
constrained, yet
departments have
their own experts
and/or initiatives.
Analytics talent
is centralized into
larger groups.
Management
understands and
supports analytics
for strategic value,
thus bringing
business units into
alignment
Company is
committed to
analytics as part of
its future growth
plan.
Business units
embrace their own
transformational
analytical plans.
ANALYTICS
USAGE
Varying Levels of Analytics Use and Expertise
10. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
BIG DATA AND
ANALYTICS
KEY CONSIDERATIONS
Data
Analytics
The “Cloud”
Grid
In-Database
High Performance Analytics
11. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
SAS® HIGH-
PERFORMANCE
ANALYTICS
KEY COMPONENTS
12. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
CAPABILITY
SEGMENTATION
DATA SIZE AND ANALYTIC COMPETENCE
DATA SIZE
ANALYTICCAPABILITY
13. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
CAPABILITY
SEGMENTATION
DATA SIZE AND ANALYTIC COMPETENCE
DATA SIZE
REACTIVEPROACTIVE
ANALYTICCAPABILITY
BIG DATALARGE
14. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
CAPABILITY
SEGMENTATION
DATA SIZE AND ANALYTIC COMPETENCE
DIFFERENTIATING ANALYTICS
Alerts
OLAP
Ad Hoc Reports
Standard Reports
Optimization
Predictive Modeling
Forecasting
Statistical Analysis
PROACTIVE
15. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
CAPABILITY
SEGMENTATION
DATA SIZE AND ANALYTIC COMPETENCE
DIFFERENTIATING ANALYTICS
Alerts
OLAP
Ad Hoc Reports
Standard Reports
Optimization
Predictive Modeling
Forecasting
Statistical Analysis
PROACTIVE
16. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
CAPABILITY
SEGMENTATION
DATA SIZE AND ANALYTIC COMPETENCE
DIFFERENTIATING ANALYTICS
Alerts
OLAP
Ad Hoc Reports
Standard Reports
Optimization
Predictive Modeling
Forecasting
Statistical Analysis
PROACTIVE
17. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
CAPABILITY
SEGMENTATION
DATA SIZE AND ANALYTIC COMPETENCE
DATA SIZE
REACTIVEPROACTIVE
ANALYTICCAPABILITY
BIG DATALARGE
REACTIVE
Alerts
OLAP
Ad Hoc Reports
Standard Reports
PROACTIVE
Optimization
Predictive Modeling
Forecasting
Statistical Analysis
ANALYTICS
18. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
CAPABILITY
SEGMENTATION
DATA SIZE AND ANALYTIC COMPETENCE
DATA SIZE
REACTIVEPROACTIVE
ANALYTICCAPABILITY
BIG DATALARGE
REACTIVE
Alerts
OLAP
Ad Hoc Reports
Standard Reports
PROACTIVE
Optimization
Predictive Modeling
Forecasting
Statistical Analysis
ANALYTICS
How many products
did we sell in region x
last quarter?
19. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
CAPABILITY
SEGMENTATION
DATA SIZE AND ANALYTIC COMPETENCE
DATA SIZE
REACTIVEPROACTIVE
ANALYTICCAPABILITY
BIG DATALARGE
REACTIVE
Alerts
OLAP
Ad Hoc Reports
Standard Reports
PROACTIVE
Optimization
Predictive Modeling
Forecasting
Statistical Analysis
ANALYTICS
20. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
CAPABILITY
SEGMENTATION
DATA SIZE AND ANALYTIC COMPETENCE
DATA SIZE
REACTIVEPROACTIVE
ANALYTICCAPABILITY
BIG DATALARGE
REACTIVE
Alerts
OLAP
Ad Hoc Reports
Standard Reports
PROACTIVE
Optimization
Predictive Modeling
Forecasting
Statistical Analysis
ANALYTICS
How many people
visited my web site last
week and abandoned
their shopping cart?
21. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
CAPABILITY
SEGMENTATION
DATA SIZE AND ANALYTIC COMPETENCE
DATA SIZE
REACTIVEPROACTIVE
ANALYTICCAPABILITY
BIG DATALARGE
REACTIVE
Alerts
OLAP
Ad Hoc Reports
Standard Reports
PROACTIVE
Optimization
Predictive Modeling
Forecasting
Statistical Analysis
ANALYTICS
22. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
CAPABILITY
SEGMENTATION
DATA SIZE AND ANALYTIC COMPETENCE
DATA SIZE
REACTIVEPROACTIVE
ANALYTICCAPABILITY
BIG DATALARGE
REACTIVE
Alerts
OLAP
Ad Hoc Reports
Standard Reports
PROACTIVE
Optimization
Predictive Modeling
Forecasting
Statistical Analysis
ANALYTICS How can I best optimize
the marketing campaign
spend across my
customer base?
23. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
CAPABILITY
SEGMENTATION
DATA SIZE AND ANALYTIC COMPETENCE
DATA SIZE
REACTIVEPROACTIVE
ANALYTICCAPABILITY
BIG DATALARGE
REACTIVE
Alerts
OLAP
Ad Hoc Reports
Standard Reports
PROACTIVE
Optimization
Predictive Modeling
Forecasting
Statistical Analysis
ANALYTICS
24. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
CAPABILITY
SEGMENTATION
DATA SIZE AND ANALYTIC COMPETENCE
DATA SIZE
REACTIVEPROACTIVE
ANALYTICCAPABILITY
BIG DATALARGE
REACTIVE
Alerts
OLAP
Ad Hoc Reports
Standard Reports
PROACTIVE
Optimization
Predictive Modeling
Forecasting
Statistical Analysis
ANALYTICS How should I price
my 300 mil
SKU/store
combinations to
maximize profit?
25. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
CAPABILITY
SEGMENTATION
DATA SIZE AND ANALYTIC COMPETENCE
DATA SIZE
REACTIVEPROACTIVE
ANALYTICCAPABILITY
BIG DATALARGE
REACTIVE
Alerts
OLAP
Ad Hoc Reports
Standard Reports
PROACTIVE
Optimization
Predictive Modeling
Forecasting
Statistical Analysis
ANALYTICS
26. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
CAPABILITY
SEGMENTATION
DATA SIZE AND ANALYTIC COMPETENCE
DATA SIZE
REACTIVEPROACTIVE
ANALYTICCAPABILITY
BIG DATALARGE
REACTIVE
Alerts
OLAP
Ad Hoc Reports
Standard Reports
PROACTIVE
Optimization
Predictive Modeling
Forecasting
Statistical Analysis
ANALYTICS
27. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
CAPABILITY
SEGMENTATION
ARCHITECTURAL CONSIDERATIONS
IN-MEMORY DATABASES ARE LIMITED (SQL)
BIG ANALYTICS BIG DATA ANALYTICS
BI BIG DATA BI
DATA SIZE
IN-MEMORYDB
BIG DATALARGE
REACTIVE
Alerts
OLAP
Ad Hoc Reports
Standard Reports
PROACTIVE
Optimization
Predictive Modeling
Forecasting
Statistical Analysis
ANALYTICS
28. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
CAPABILITY
SEGMENTATION
ARCHITECTURAL CONSIDERATIONS
LASRTM
ENABLES PROACTIVE ANALYTICS
BIG ANALYTICS BIG DATA ANALYTICS
BI BIG DATA BI
DATA SIZE
IN-MEMORYDB
BIG DATALARGE
IN-MEMORYANALYTICSERVER
REACTIVE
Alerts
OLAP
Ad Hoc Reports
Standard Reports
PROACTIVE
Optimization
Predictive Modeling
Forecasting
Statistical Analysis
ANALYTICS
29. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
CAPABILITY
SEGMENTATION
ARCHITECTURAL CONSIDERATIONS
LASRTM
ENABLES PROACTIVE ANALYTICS
BIG ANALYTICS BIG DATA ANALYTICS
BI BIG DATA BI
DATA SIZE
IN-MEMORYDB
BIG DATALARGE
REACTIVE
Alerts
OLAP
Ad Hoc Reports
Standard Reports
PROACTIVE
Optimization
Predictive Modeling
Forecasting
Statistical Analysis
ANALYTICS
REACTIVE
Alerts
OLAP
Ad Hoc Reports
Standard Reports
PROACTIVE
Optimization
Predictive Modeling
Forecasting
Statistical Analysis
ANALYTICS
IN-MEMORYANALYTICSERVER
30. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
CAPABILITY
SEGMENTATION
ARCHITECTURAL CONSIDERATIONS
LASRTM
ENABLES PROACTIVE ANALYTICS
BIG ANALYTICS BIG DATA ANALYTICS
BI BIG DATA BI
DATA SIZE
IN-MEMORYDB
BIG DATALARGE
REACTIVE
Alerts
OLAP
Ad Hoc Reports
Standard Reports
PROACTIVE
Optimization
Predictive Modeling
Forecasting
Statistical Analysis
ANALYTICS
REACTIVE
Alerts
OLAP
Ad Hoc Reports
Standard Reports
PROACTIVE
Optimization
Predictive Modeling
Forecasting
Statistical Analysis
ANALYTICS
IN-MEMORYANALYTICSERVER
31. Copyr ight © 2012, SAS Institute Inc. All rights reser ved.
SAS A LEADER IN MORE THAN 25 ANALYST REPORTS
The Forrester Wave™
• Big Data Predictive Analytics Solutions
• Advanced Data Visualization Platforms
• Customer Analytics Solutions
Gartner Inc. Magic Quadrant
• Integrated Marketing Management
• Enterprise Governance, Risk and
Compliance Platforms
• Marketing Resource Management
Hurwitz Victory Index
• Predictive Analytics
32. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
CAPABILITY
SEGMENTATION
VISUAL ANALYTICS
INCLUDES PROACTIVE ANALYTICS
BIG ANALYTICS BIG DATA ANALYTICS
BI BIG DATA BI
DATA SIZE
REACTIVEPROACTIVE
ANALYTICCAPABILITY
BIG DATALARGE
REACTIVE
Alerts
OLAP
Ad Hoc Reports
Standard Reports
PROACTIVE
Optimization
Predictive Modeling
Forecasting
Statistical Analysis
ANALYTICS
33. Copyr ight © 2012, SAS Institute Inc. All rights reser ved.
BUSINESS
VISUALIZATION
THE DIFFERENCE BETWEEN RAPID INSIGHT AND FAST
INFORMATION
DATA VISUALIZATION ANALYTIC VISUALIZATION
EXPLORATION DISCOVERY
34. Copyr ight © 2012, SAS Institute Inc. All rights reser ved.
SAS®
VISUAL
ANALYTICS
BUSINESS VISUALIZATION DRIVEN BY ANALYTICS
ENTERPRISE/DEPARTMENTAL
AND SELF SERVICE
VISUALIZATION POWERED BY
SAS ANALYTICS
REPORTING, MOBILE
COLLABORATION
• Scalable, any size data
• Flexible deployment
• In-memory analytics
• Analytic visualizations
• “Analytics for everyone”
• Text analysis
• Design once
• Feature rich mobile apps
• Integration with MS apps
35. Copyr ight © 2012, SAS Institute Inc. All rights reser ved. www.SAS.com
WWW.SAS.COM
36. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
HIGH-PERFORMANCE
ANALYTICS
SAS IN-MEMORY ANALYTICS
37. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
HIGH-PERFORMANCE
ANALYTICS
SAS IN-MEMORY ANALYTICS
38. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
HIGH-PERFORMANCE
ANALYTICS
SAS IN-MEMORY ANALYTICS
39. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
HIGH-PERFORMANCE
ANALYTICS
SAS IN-MEMORY ANALYTICS
40. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
HIGH-PERFORMANCE
ANALYTICS
SAS IN-MEMORY ANALYTICS
41. Copyr ight © 2013, SAS Institute Inc. All rights reser ved.
HIGH-PERFORMANCE
ANALYTICS
SAS IN-MEMORY ANALYTICS