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SAS

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  • 3 Steps to Better Data Storytelling: SAS Visual Analytics & Microsoft Office 3 Steps to Better Data Storytelling: SAS Visual Analytics & Microsoft Office Travis Murphy, Marketing Lead for Business Intelligence and Data Visualization, SAS Recorded: Nov 8 2016 35 mins
    Join us to find out the perfect blend of creative freedom and data governance that comes from leveraging the power of SAS Visual Analytics and the familiarity of Microsoft Office. We'll load data from Office applications to SAS Visual Analytics, analyze the data to get insights in seconds, and empower you with smarter presentations to tell the best story about your business.
  • IFRS 9 Compliance: A Continuing Saga IFRS 9 Compliance: A Continuing Saga Darryl Ivan, Risk Management expert from SAS Canada and Bob Morison, Lead Faculty Member of IIA Recorded: Oct 27 2016 38 mins
    A new set of international reporting standards (IFRS 9) goes into effect for Canadian financial services institutions late next year. With those standards come new complexities and risks, new data and analytics requirements, and new business opportunities for banks that can get ahead of the curve by modernizing their accounting and risk management platforms and putting those platforms to innovative use.

    This webinar will explore the challenges and opportunities related to IFRS 9 and provide insights into how financial services institutions can optimize for both.
  • Practical Approaches to Interactive Data Discovery & Predictive Analytics Practical Approaches to Interactive Data Discovery & Predictive Analytics Wayne Thompson, Chief Data Scientist SAS & Tapan Patel, Product Marketing Manager SAS Recorded: Oct 25 2016 67 mins
    Successful data science and analytics projects should focus on the explanation and delivery of business impact – this requires strong collaboration between business analysts and data scientists. Preparing rich representative data is important, but data discovery and predictive analytics are equally valuable – they enable team members to quickly evaluate which events are drivers or inhibitors of success, and to predict future outcomes. Throughout the course of a project, how can business analysts stay focused on the most important details? How can data scientists prototype and operationalize models in a quick, productive, and easy-to-use manner?

    In this webcast, we will use SAS Visual Analytics and SAS Visual Statistics to teach you how to:

    • Quickly identify predictive drivers
    • Discover outliers by using interactive tools
    • Use drag-and-drop features to build predictive models
    • Simultaneously build models and process results for each group or segment of data
    • Visually explore your predictive outputs or values
    • Compare your models and apply them to new data
  • Using Self-Service BI and Approachable Analytics to Improve Business Processes Using Self-Service BI and Approachable Analytics to Improve Business Processes Dieter Steinmann, Sr. Manager, Business Systems, Fraport AG; Gregor Herrmann, Sr. BI Solutions Manager, SAS Recorded: Oct 11 2016 47 mins
    The Business Intelligence (BI) and Analytics market has undergone a major shift. More interest and usage is driven by business users and analysts for an interactive style of analysis and a decentralized, easy-to-use approach to reporting, dashboards and analytics. On other end, IT wants to deliver this in a reusable, and governed manner. As adoption of BI and analytics increase, a scalable and modern platform is equally important for organizations to drive revenue and growth.

    Join this Webinar to see how Fraport, owner and operator of Frankfurt Airport, has taken full advantage of interactive reporting and analytics to provide real-time information on passenger behavior and baggage delivery to improve customer satisfaction continuously.
  • Visualizing a Pandemic: Charting the West Nile Virus with Data Visualizing a Pandemic: Charting the West Nile Virus with Data Teemu Kettunen, Systems Engineer, SAS State & Local Government Recorded: Sep 28 2016 45 mins
    Public health projects vary in scope but always have critical data and analytic needs. From data collection and reporting to prevention analysis and control, public health agencies play a fundamental and complex role in keeping our communities safe.

    In this webcast, SAS will show how health organizations can use SAS Visual Analytics to uncover trends and patterns within their operating environment and transform those to actionable information to decision makers.

    The content of this demonstration is based on publicly available West Nile data from California Public Health Open Data Portal. The dataset contains positive cases of West Nile virus found in humans by county of residence from 2006 to 2015.

    Dashboarding and data visualization empower you with:
    - Ability to easily create custom reports and do real-time analysis of health/non-health data sets in near real-time
    - Pre-built reports and templates provide support for analyzing and monitoring health data in addition to the impactful relationship between health and non-health data
    - Advanced predictive analytics integrated into a reporting environment to streamline health analytic initiatives and get the right people the right insight at the right time

    For more information, contact:
    gabrielle.carels@sas.com - Client Manager
    teemu.kettunen@sas.com - Systems Engineer
  • Getting to the Next Level with Visual Analytics and Governed Data Discovery Getting to the Next Level with Visual Analytics and Governed Data Discovery David Stodder, TDWI Research Director, SAS, Tibco Spotfire Recorded: Sep 15 2016 65 mins
    While there are clear advantages to giving more users more control over how they access and interact with data through more self-service technologies, organizations need to think about how they can properly govern their experiences. Governance considerations include data security, quality, blending and integration, and adherence to policies and regulations. IT also needs to manage performance, availability, and other issues that are critical to successful and productive user experiences.

    Join this Webinar to find out how your organization can get to the next level with visual analytics and governed data discovery. The Webinar discussion will focus on key steps for improving users’ data interaction experiences through better-governed visual analytics, data discovery, and intuitive, easier-to-use BI. It will include a presentation by TDWI Research and topical panel discussion with representatives from SAS and TIBCO Spotfire.

    You will learn:

    * Current technology trends for improving personalization, productivity, and the scale, scope, and speed of visual analytics, data discovery, and intuitive BI
    * Best practices for “governed” data discovery; balancing IT responsibilities for managing data assets with user demands for control over analytics
    * Addressing data quality, integration, and related governance concerns while supporting democratized visual analytics and data discovery
    * Discussion with technology solution providers SAS and TIBCO Spotfire about how users can get to the next level
  • Top Technology Trends in BI and Analytics: Maximize Your Chance of Success Top Technology Trends in BI and Analytics: Maximize Your Chance of Success Mary Osborne, Business Visualization Practice Manager, SAS and Tapan Patel, Product Marketing Manager, SAS Recorded: Sep 6 2016 47 mins
    Ever-changing customer expectations demand agility and governance in the same breath. Advancements in data discovery and analytics continue to accelerate. But wait! The wave of data analytics centric innovation isn’t even over.

    Watch this webinar on how top trends in business intelligence (BI) and analytics are evolving to put relevant and timely insights in the hands of more users and decision makers. What actions must be taken to stay ahead and avoid being paralyzed?

    · Visual data discovery and approachable analytics will continue to entice more users.
    · Business user-led projects and bottom-up experimentation demands more data governance.
    · Self-service data preparation is emerging and addresses a high-value problem.
    · Mobile BI and location intelligence has traction, but still some organizations are on the fence.
    · Cloud adoption continues to grow. Have you identified which business problems are relevant?
  • J Crew Case Study: Using Analytics to Transform an Omni-Channel Strategy J Crew Case Study: Using Analytics to Transform an Omni-Channel Strategy SAS Retail Solutions and Analytics Advisors, Donna McGuckin and Jason Gautereaux Recorded: Aug 24 2016 43 mins
    The challenge of managing millions of size and location requirements is overwhelming, and the results are not readily scalable with our given staff. While technology and vast amounts of data help create more localized assortments based on consumer preferences, product attributes and location performance, it’s nearly impossible to narrow the assortment management process to the size level with great accuracy.

    J. Crew executives, Jason Nusca, Vice President Merchandise Information Office, and Pamella Lee, Vice President Allocation will join SAS Retail Solutions and Analytics Advisors, Donna McGuckin and Jason Gautereaux, to discuss how retail and wholesale organizations are transforming and enabling their teams to:

    •Maximize omni-channel inventory to meet consumer size demand
    •Make millions of item/location decisions accurately by size
    •Transform business to meet winning omni-channel strategies profitably
    •Identify the business value and build confidence enterprise wide
  • Finding Hidden Value in Your Customer Data Finding Hidden Value in Your Customer Data Danny Worthen, Systems Engineer, SAS; Natalie Osborn, Marketing Consultant, SAS; Mike Sokoloff, Senior Account Executive, SAS Recorded: Jul 21 2016 54 mins
    Every contact the guest or patron has with your operation is an opportunity to foster loyalty, leading to increased visits and on-property spending. Technology captures details of these interactions, but disparate systems in multiple touch points across hotels and casino make accessing and integrating guest profiles extremely challenging. In this session we will learn how Gaming and Hospitality companies can leverage their hidden data assets to understand their most valuable customers. Join us for a hands-on look at how to get the most value from your data.
  • Generating Value From Your Data Generating Value From Your Data Anne Buff, Thought Leader – SAS Best Practices Recorded: Jul 12 2016 51 mins
    The Mavens of Big Data Webinar Series: Part 4
    “Data is a corporate asset” has achieved platitude status, yet companies are still looking for the answer to the age-old question of “How much is our data worth?” Executives have become increasingly aware of the value of data (internally and externally) and are attracted to potential new revenue streams from information-based products and services.

    In this session, we will examine what data monetization is, review current practices across industries, and help identify paths to revenue generation though data. We will explore the opportunities and challenges organizations face when implementing data monetization strategies as well as the requisite skills and capabilities needed for success. We will also review imperatives for driving and delivering internal business value through data to thrive in the rapidly developing digital economy.