Introduction to sas
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The document outlines a presentation about SAS, including an introduction to the company, customer success stories, the industries and products/solutions SAS serves, and a use case example. The presentation agenda includes an introduction to SAS, customer success stories from companies like Staples, the industries SAS works in such as retail, SAS products like Enterprise Miner, and a demo. The use case describes how SAS was used to develop a loyalty program for a company through customer segmentation, modeling shopping habits, and determining marketing actions.
Introduction to sas
- 1. Journey from knowledge to action Presented by: Zienab Allam
- 2. Agenda Introduction to SAS. Customer Success Stories. Industries. Products & Solutions. Use-case. Demo.
- 4. Introduction to SAS SAS was founded in 1976 to help all sorts of customers. SAS delivers proven solutions that drive innovation and improve performance.
- 5. Company Facts & Financials Customer Number of Countries Installed SAS has customers in 134 countries. Total Worldwide Customer Sites More 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
- 6. Company Facts & Financials (Cont.) Employee Worldwide Employees 13,719 total employees Breakdown by Geography United 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
- 7. Financial Worldwide Revenue 2013 Revenue: US$3.02 billion Reinvestment in R&D 2013 R&D investment: 25% of revenue Company Facts & Financials (Cont.)
- 8. Reference Customers & Partners
- 9. Gartner Report Magic Quadrant for Business Intelligence and Analytics Platforms.
- 11. Customer Success Story Staples
- 12. 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."
- 13. 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
- 14. 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.
- 15. Industries
- 16. Industries Automotive Banking Defense & Security Government Hotels Insurance Oil & Gas Retail Sports Manufacturing Health Insurance Media Communicatio ns Utilities Travel & Transportation
- 17. Industries (Cont.) Consumer Goods Casinos Capital Markets K-12 Education Small & Midsize Business Life Sciences Health Care Providers Higher Education High Tech
- 18. 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.
- 19. Retail(Cont.) how well are they able to leverage insights from this analysis to drive strategic decisions?
- 20. Retail(Cont.) Retailers’ analytics maturity is low. Data management and integration. Usability is the most important feature.
- 25. 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.
- 26. Solutions SAS® Retail Forecasting SAS® Retail Analytics Retail(Cont.)
- 28. 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.
- 29. 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.
- 30. Use-case
- 31. 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.
- 33. Business Problem
- 35. Loyalty Program
- 37. 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.
- 38. 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).
- 39. Solution Methodology(Cont.) By using VARCLUS algorithm, integrated in SAS software, to cluster the products. Based on a divisive algorithm.
- 40. 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
- 41. 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.
- 42. 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.
- 43. 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.
- 44. Results & Output(Cont.) Proportion of products in each business unit
- 45. Results & Output(Cont.) Proportion of products in the main category
- 46. Results & Output(Cont.) Proportion of products of each brand position
- 47. 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.
- 48. 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.)
- 49. 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.
- 50. Demo