introduction to sas
DESCRIPTION
TRANSCRIPT
Journey from knowledge to
action
Presented by: Zienab Allam
Agenda
Introduction to SAS.
Customer Success Stories.
Industries.
Products & Solutions.
Use-case.
Demo.
Introduction to SAS
Introduction to SAS
SAS was founded in 1976 to help all sorts of customers.
SAS delivers proven solutions that drive innovation and improve performance.
Company Facts & Financials
Customer
Number of Countries InstalledSAS has customers in 134 countries.
Total Worldwide Customer SitesMore than 70,000 business, government and university sites.
SAS Customers or their Affiliates Represent:91 of the top 100 companies on the 2013 FORTUNE Global 500® list
Company Facts & Financials (Cont.)
Employee
Worldwide Employees13,719 total employees
Breakdown by GeographyUnited States: 6,862
World Headquarters (Cary, NC): 5,231
Canada: 317
Latin America: 468
Europe, Middle East and Africa: 3,845
Asia Pacific: 2,227
Financial
Worldwide Revenue2013 Revenue: US$3.02 billion
Reinvestment in R&D2013 R&D investment: 25% of revenue
Company Facts & Financials (Cont.)
Reference Customers & Partners
Gartner Report
Magic Quadrant for Business Intelligence
and Analytics Platforms.
Customer Success Stories
Customer Success Story (Cont.)
Bringing science to customer relationship.
HP turns 2.5 billion customer transactions into customer intimacy
"We're very pleased to have a fantastic relationship with SAS. We feel we're not
only a customer – we are ultimately a partner."
Customer Success Story (Cont.)
With SAS, we're accurately scoring more than 100
million customers in seconds to target our marketing
and service efforts.
Prasanna Dhore
Vice President, Global
Customer Intelligence
Customer Success Story (Cont.)
Solutions
SAS® Enterprise Miner™
SAS® Text Miner
Benefits
20 percent incremental ROI across campaigns.
Orders shipped have increased by 50 percent in three years.
Overall operating profit of the HPDirect.com store has increased by more than 50 percent.
Industries
Industries
Automotive BankingDefense &
Security Government Hotels
Insurance Oil & Gas Retail Sports Manufacturing
HealthInsurance
Media Communicatio
nsUtilities
Travel & Transportation
Industries (Cont.)
Consumer Goods
Casinos Capital Markets K-12 EducationSmall & Midsize
Business
Life Sciences Health Care Providers
Higher Education
High Tech
Retail
Retail has always been a data-intensive industry.
As the tools available to store, manage and analyze this data evolved, so did the role the
analysis of data played in retail decision-making.
From visibility and control, to transparency, to efficiency, to customer engagement.
Retail(Cont.)
how well are they able to leverage insights from this analysis to drive strategic decisions?
Retail(Cont.)
Retailers’ analytics maturity is low.
Data management and integration.
Usability is the most important feature.
Retail(Cont.)
Retail
Right Customer
Right Time
Right Channel
Right Place
Retail(Cont.)
Gain a deeper understanding of their customers’ behaviors, needs and preferences.
Improve marketing effectiveness through micro-targeting, personalization and delivery of
context and channel sensitive promotions and offers that increase the likelihood of
purchase.
Optimize the supply chain.
Determine pricing, including bundle and basket pricing, based on the value customers.
Solutions
SAS® Retail Forecasting
SAS® Retail Analytics
Retail(Cont.)
Products & Solutions
SAS Enterprise Miner
Benefits
Produce insights that drive better decision making.
Understand key relationships and find the patterns that matter most.
Build better models with the best tools.
Empower business users.
Improve the accuracy of your predictions, and share reliable results.
Ease the model deployment and scoring process for faster results.
SAS Enterprise Miner (Cont.)
Features
Easy-to-use GUI and batch processing.
Fast, easy and self-sufficient way for business users to generate models.
Data preparation, summarization and exploration.
Open source integration with R.
High performance capabilities.
Automated scoring.
Model comparisons, reporting and management.
Use-case
Introduction
o Relationship between companies and customers changed significantly.
o It became more difficult to attract new customers.
o Companies wishing to be at the leading edge have to continually improve the service levels.
Introduction(Cont.)
Business Problem
Solution Outlines
Loyalty Program
Loyalty Program(Cont.)
Segmentation Models
The company customers are segmented in two ways:
Grouping customers based on their shopping habits.
Segmentation is based on customer necessities and preferences.
Solution Methodology
Inference of the lifestyle corresponding to each cluster of products.
Analyzing the type of products included in each cluster.
Analyzing the business unit, the category and the position of the product brand concerning the value.
Assigning each customer to a specified segment (or cluster).
Solution Methodology(Cont.)
By using VARCLUS algorithm, integrated in SAS software, to cluster the products.
Based on a divisive algorithm.
Results & Output
Cluster #Products %Products
1 367 20.0
2 224 12.2
3 93 5.1
4 226 12.3
5 501 27.4
6 420 23.0
Total 1831 100
Results & Output (Cont.)
Cluster 1
Medium purchasing power.
Focused on practical meal solutions.
Preferring to buy takeaway food.
The potential buyers of these products have babies.
Appreciate wine.
Cluster 2
Medium purchasing power.
Follow a balanced diet.
The potential buyers of these products seem to enjoy socializing.
Champagnes purchased.
Results & Output (Cont.)
Cluster 3
Medium purchasing power.
Appreciate meat.
Perfumes/cosmetics.
The potential buyers of these products seem to enjoy socializing.
Spirit drinks and appetizers bought.
Cluster 4
Low purchasing power.
Appreciate premium brands.
Prepare dishes with basic ingredients.
Results & Output (Cont.)
Cluster 5
High purchasing power and with babies.
Prefer frozen products.
Like chicken barbecue and wine.
Interested in health, hygiene and cosmetic products.
Cluster 6
High economic power and may have babies.
Appreciate practical meal solutions.
Like cod-fish meals.
Results & Output(Cont.)
Proportion of products in each business unit
Results & Output(Cont.)
Proportion of products in the main category
Results & Output(Cont.)
Proportion of products of each brand position
Marketing Actions
Marketing segmentation enables:
Companies to enhance their relationship
with customers.
leading to higher sales.
Lifestyle segmentation enables an easy identification of the customers who may be interested in a given product.
A promotion is likely to be more successful if there is affinity between the product and the customer needs.
Distribution of customers by the clusters for specific stores.
Cluster 1
(%)
Cluster 2
(%)
Cluster 3
(%)
Cluster 4
(%)
Cluster 5
(%)
Cluster 6
(%)
Store1 21.2 32.9 13.8 19.8 4.9 7.4
Store2 21.8 23.9 10.2 33.3 3.9 6.5
Distribution of customers by the clusters.
Cluster 1 Cluster 2 Cluster 3 Cluster 4 Cluster 5 Cluster 6 Total
Customer 22.3 31.7 15.4 17.4 6.4 6.8 100
Marketing Actions(Cont.)
Conclusion
To increase Customer Loyalty:
Identify key customer segments.
Create target groups of similar segments.
Prospect for look-alikes in target markets and your own customer database.
Deliver differentiated messages and experiences.
Keep it simple.
Get everyone involved in the Consumer segmentation approach.
Measure the effectiveness and adjust your strategy.
Demo