SAS Industry Solutions

To stay in the game and win, you need agile strategies, clear-sighted decision making and the ability to focus scarce resources in every area of your enterprise on the activities most likely to result in success. SAS Industry Solutions offer industry-specific software, domain expertise and data models designed to help businesses achieve objectives more quickly, with less risk and at lower cost. Presentations in these sections are designed to show attendees how SAS technologies apply to specific industries:

• Communications, Media, Entertainment and Travel

  What Data Mining Isn't
  

  Chris Volinsky, Director, Statistics Research Department, AT&T Research

  Increasingly, data mining has become part of the public consciousness. Well-publicized examples of successful business applications of data mining compete on the front pages with examples of omnipresent personal data being used for bad purposes. To some people, the phrase "data mining" conjures up thoughts of building valuable predictive models or learning more about customers, to others it implies a nightmarish Big Brother society ripe with identity theft and privacy violations.

  Businesses are increasingly turning to data mining solutions to transform their vast amounts of data into profitable, actionable information. However, 'data mining' is ill-defined, and its promises and pitfalls are not well understood. In this talk, I will share some of my experiences applying vast stores of communications information to important business problems at AT&T, including fraud detection, recommender systems, and social network marketing.

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• Customer Intelligence

  The 10 Immutable Laws of Marketing Measurement
  

  Pat LaPointe, Managing Partner, MarketingNPV

  The world of marketing measurement has transformed dramatically over the past few years. Terms like marketing ROI, marketing dashboards and brand scorecards are now the focus and quest for marketers who are looking to make smarter decisions regarding resource allocation.

  In the midst of all this progress, however, there remain 10 laws that are not only required, but are unchangeable on the path to successful marketing measurement. Join Pat LaPointe, Managing Partner of MarketingNPV and author of Marketing by the Dashboard Light: How to Get More Insight, Foresight, and Accountability from Your Marketing Investments as he shares his insight and perspective on the 10 immutable laws of marketing measurement.

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• Financial Services

  An Increasing Sense of Urgency: Master Data in Financial Services
  

  Jill Dyché, Partner/Co-founder, Baseline Consulting

  Companies have learned the hard way that location, synchronization, standardization, matching and propagation of their corporate information is an easy vision to articulate, but more difficult to execute. This is especially true for financial services firms, where silo-ed systems are the by-product of silo-ed organizations, divergent business policies, and subjective interpretations of data ownership. But not for long. In this presentation, consultant and author Jill Dyché will discuss how financial services companies – from retail banks to brokerage houses to insurance firms – are tackling master data management, outlining the components of master data maturity and the ancillary data governance practices that accompany it.

  Using Analytics to Boost your Bottom Line in Property and Casualty Insurance
  

  Edward H. Vandenberg, Management Consultant, Accenture

  Increasing competition in the insurance industry makes the many variables of property and casualty Insurance more important to monitor, model and forecast. Many companies are seeing a need to review risk selection and increase emphasis on obtaining proper rates for risks being insured. In this presentation, Edward Vandenberg will discuss how predictive analytics can reveal unique insights that help focus business efforts, directly contributing to key performance metrics.

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• Manufacturing

  Optimally Matching Demand and Supply Over Time
  

  Larry Lapide, PhD, Director, Demand Management, MIT Center for Transportation and Logistics

  Demand management (DM) processes are needed to bridge the chasm that now exists at many companies between supply and customer-facing management. While forecasting plays an important role among DM processes, these have a larger context in terms of matching demand and supply, in real-time and during planning. Tactically DM includes the sales and operations planning process. Strategically, DM involves setting customer service policies and segmenting the customer base to offer tailored service programs. Operationally, DM also includes order promising, that involves identifying the supply that can be used to satisfy customer orders. During this session, Lapide will define and discuss DM processes in corporate environments.

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• Pharma, Life Sciences and Healthcare

  Quality, Clinical Research, and Public Health: Opportunities for Secondary user of EHR Information
  

  Landen Bain, Freelance expert, CDISC

  The Electronic Health Record (EHR) is the primary point of data capture for patient care. But in addition to its primary purpose, EHRs can serve as data-capture points for secondary uses such as quality measurement, public health, and clinical research. The obstacles to the secondary use of patient care-data are many. Often there are subtle differences in meaning between domains that do not appear until re-use is attempted. But despite the difficulties, some approaches have begun to bear fruit. There is still a long road ahead to the ultimate goal of computable semantic interoperability, but modest approaches are at work today. So how can this secondary use best be initiated, fostered, and brought to completion? In his presentation, Landen Bain will explore a range of approaches from data mining to forms-based data capture, and will survey current work:

  • Clinical Data Interchange Standards Consortium's (CDISC) healthcare link initiatives.
  • A white paper from Integrating the Healthcare Enterprise (IHE) that covers clinical research, quality and public health uses of EHR data.
  • Two IHE integration profiles, QED and RFD, which enable secondary use today.
  • Demonstrations of data re-use at HIMSS 2007 and 2008.
  • AMIA's committee of secondary use of EHR data.

  Enhancing Patient Safety: The Power of Data
  

  Paula Brown Stafford, Executive Vice President, Global Data Management, Quintiles Transnational Corp.

  It's all about the data. That is, every product approved by health agencies around the world relies on quality patient data. These are the very data that are monitored during the conduct of clinical trials, collected, collated and analyzed to determine the safety and efficacy of pharmaceutical, biological and device products. We need data, and lots of it, to predict risk. We must, therefore, integrate data from a number of sources. The industry is committed to protecting human subjects while generating these high quality outputs. Yet, inherent in the system today is redundancy which costs us all. During this session, Paula Brown Stafford will review questions such as: How do we achieve the perfect trifecta: cheap, fast and high quality? How do we and how can we use these data to ultimately enhance the safety of our patients?

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• Retail

  Size and Pack Optimization: Meeting Customer Demand Through the Science of Optimization
  

  Kevin Schneider,
  Senior Manager of Merchandise Optimization, Kohl's

  Brian Taylor,
  MIO Manager of Inventory Management Applications, Kohl's

  Managing size-level inventory for more than 900 stores across unique customer segments and diverse markets is a daunting challenge, one that cannot be profitably met by using the "one size range fits all" approach to size-level decision making. Yet, the inherent complexity of managing size diversity cannot easily be addressed by buyers, merchandise planners and analysts already overloaded with the purchasing, marketing and planning decisions and tasks critical to the execution of day-to-day business operations.

  To address these business needs, Kohl's has implemented multiple size/pack management initiatives that provide business value through size profiling and clustering, purchase order optimization and pack optimization in allocation. SAS profiling and optimization software serves as the foundation for these initiatives, but it is organizational and business process change, along with critical integration to execution systems, that are the drivers.

  As a result of these initiatives, Kohl's is able to better meet customer demand at the store/size level, reducing out-of-stocks, increasing service level and reducing the excess inventory that leads to clearance markdowns, all while minimizing workload impact in the merchandising organization.

  Optimizing Merchandise Allocation
  

  Jason Gautereaux, Vice President of Merchandise Planning and Inventory Management, Sport Chalet

  For a fast-growing retailer in sporting goods and specialty footwear and apparel, the challenge of allocating merchandise is ever increasing. With the growth of the company, entry into new markets and the complexities of seasonal and fashion trends, the need for a more robust and sophisticated approach to allocation was a must. To meet the demands of the customer, Sport Chalet recently overhauled its inventory management structure to align the business with technology that drives more accurate and timely allocations to the stores.

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