Jen Dunham, SAS Principal Solutions Architect and Yolande Byrd, Director, FACTS Consulting
Procurement fraud is prevalent. How can you thwart an attack? How can you prevent some of the most common themes like collusion and false claims?
Listen to our experts as they take a high-level approach to explaining the disruption to global businesses and how all industries are susceptible. You’ll learn about specific problems and how analytics provides answers.
Trina Gladwell, DVP of Merchandise Process at Beall & Sathish Gangichetty, Solutions Expert, SAS
Join Trina Gladwell, Divisional Vice President of Merchandise Process at Bealls Inc., and Sathish Gangichetty, Senior Solutions Architect at SAS, as they discuss why putting deeply insightful analytics into action in real time is crucial for great customer experiences.
David Kiron, MIT Sloan Management Review and Dan Mitchell, SAS
This webinar highlights the key take-aways for the retail and consumer packaged goods industries of a major multi-year global research study sponsored by SAS, which is conducted by MIT Sloan Management Review.
This most recent study uncovers key factors of business-driven innovation, including cultural and process factors, the pivotal role of data governance, and burgeoning opportunities with machine learning and artificial intelligence.
•David Kiron, Senior Editor at MIT Sloan Management Review summarizes the research findings.
•Dan Mitchell, Director of the Global Retail and CPG Practice at SAS, spotlights some of the biggest take-aways for the retail and consumer packaged goods industries from the MIT research.
As a marketer, you're charged with delivering the right message to the right audience at the right time - without wasting budget. It's a tall order, but data and analytics have helped top companies achieve the optimal balance. Tune in to this webinar to hear Corios President Robin Way and SAS Principal Solutions Architect Noah Powers share optimization lessons from retail, hospitality and financial services that you can apply to your own business to boost your marketing ROI.
Pat Richards, Director of Big Data and Analytics, Intel and Mary Beth Ainsworth, AI and Language Analytics Strategist, SAS
Buzzwords can be daunting. Take artificial intelligence – everyone's talking about it, so you feel like if you're not using it to further your business goals, you're falling behind. The good news is the real action around AI is happening now through advancements in analytics – faster computing, more complex algorithms and intelligent analytical output. But, because computers don’t understand strategy, human integrity is needed to identify and implement your organization’s vision for embracing AI. In this webinar, join Intel and SAS for a discussion on what’s needed to enable AI and what industry use cases can support development of your strategy.
Lora Cecere, CEO & Founder, Supply Chain Insights | Rich Mather, Solutions Architect, SAS
On this webcast, participants will hear from industry experts as they discuss Artificial Intelligence and Machine Learning applications for Supply Chain. Participants will learn:
•How will machine learning and artificial intelligence transform the supply chain of the future?
•Where are various industries in its adoption?
•What business domains within supply chain will have greater opportunities to impact the bottom line?
•What are the challenges and implications to automation in supply chain process with artificial intelligence learning? Is the business domains ready for such transformation?
•How can organizations get started on this journey for an artificial intelligence supply chain?
Lora Cecere, CEO Supply Chain Insights | Rick Davis, VP, Kellogg's | Charlie Chase, Supply Chain Expert, SAS
On this webcast, participants will hear from industry experts as they discuss Demand Planning applications for Omnichannel Analytics. Participants will learn:
•How is omnichannel complicating the demand forecasting and planning process?
•What data requirements will be needed, or expanded to support omnichannel demand planning?
•Will it require different analytics to predict demand across the omnichannel?
•Will Demand Signal Repositories (DSA’s) play role in supporting omnichannel demand planning?
•Do you see any solutions to improve forecasting for the omnichannel?
Molly Jones, SAS Systems Engineer & Jen Lampert, SAS Solutions Architect
In this webinar, we dive deeper into analytics and talk about the advantages of data exploration and predictive modeling. We’ll also show attendees how to fine-tune the accuracy and precision of those analytic models so you can make critical decisions with confidence.
Ben Sloane, Jared Fox - both Systems Engineers at SAS
In this webinar, you will learn how to use SAS to enhance the security, reporting and analytical capabilities of Microsoft Office while eliminating any data size restrictions. Regardless of your skill level, you will be able to harness the power of SAS from the Microsoft Office environment and take it from good to great!
During the webinar attendees will see how they can use Microsoft Office to:
* Access data from multiple sources.
* Create historical analysis and use predictive analytics.
* Disseminate findings to key stakeholders.
Jen Lambert and Molly Jones - both Systems Engineers at SAS
Analytics continues to be identified as a key competitive differentiator for businesses across all industries. Analytics drives better decision making through the application of a diverse set of techniques to uncover meaningful information and trends from data. Many small to mid-size companies have the potential to benefit from analytics, but aren't sure where to begin. In this webinar, will discuss:
* Understanding analytics in a business context.
* Building your analytics road map.
* Applying an effective data strategy.
* Descriptive statistics in action.
Wendy McHenry, SAS; Rachel Hawley, SAS; Jesse Luebbert, SAS
R and Python are used by many data scientists, often bringing together teams with varied backgrounds and experiences to solve complex problems in new ways. But R and Python often lack the scalability, governance and support needed for enterprise analytics deployment. In this webinar, you'll see a demo on how SAS integrates with R and Python to increase productivity, value, maturity, and scalability of your data science efforts. Key takeaways:
• How to use R and Python with SAS while meeting statistical analysis requirements within your organization and with external regulatory agencies.
• How SAS offers the scalability, governance and support organizations require for production and operational analytics.
• When and how SAS is used with R and Python.
John Brandt, CEO of the MPI group and Marcia Walker, Principal Consultant, SAS
A majority of manufacturers in MPI’s recent survey are now making money off the IoT – a big change from just two years ago. But challenges remain. Many decision makers can’t access essential data: They can’t always get what they want. This growing digital divide means that improvements in operations, supply chain, logistics, and customer service are being delayed for some while others are benefiting. Webinar attendees will learn how their manufacturing peers benefit from IoT data today, what solutions, such as streaming analytics, are gaining traction, and where early adopters are seeing success.
Lonnie Miller, Industry Consultant, SAS Automotive sector. David Vandekieft, Director of IoT Solutions, Bosch
Learn how automotive manufacturers can take advantage of connected vehicle innovation, data management and analytical opportunities supporting these strategies - webinar from SAS and Bosch.
By 2030, market estimates from McKinsey & Company indicate the automotive revenue pool could grow by $1.5 trillion stemming from shared mobility, connectivity services and feature upgrades to vehicles. Driven by these potential gains, automotive companies are racing to find ways to define and claim their role with new business models.
Yet, what is possible for automotive companies to achieve now given the availability of accessible driver and vehicle information? How can innovation teams take advantage of near-term opportunities that propel both current and future projects enabled by connected vehicle, mobility and on-demand services? How can companies start “doing” work around these emerging opportunities?
During the webinar you will learn about:
•Business development opportunities tied to connected vehicle and mobility strategies that ultimately allow for data monetization.
•Technology that allows OEMs and other organizations to draw out complex vehicle data before using it for analytical initiatives.
•A framework that helps organizations leverage predictive analytics, streaming and real-time information to improve business outcomes as well as customer experiences
Rick Styll, Product Management, SAS; AJ Rice, Alliance Manager, Esri
Nearly 70 percent of business data contains some level of location information. But business analysts rarely use this data within their BI and analytics workflows.
Location analytics is more than just putting points on a map. It’s part of a much larger picture of using location to provide context in visualizations, reports and analytics. Utilizing geographic data in descriptive and predictive analytics helps companies discover new patterns, identify location-specific opportunities, and get a complete picture before making business decisions.
In this webinar, Esri and SAS discuss the role that location analytics can play in determining practical next steps for your organization. A product demonstration will be shown as well.
• How does location analytics add value to BI and analytics initiatives?
• What are the right uses for location analytics?
• What pitfalls should organizations consider as they implement processes and technology for analyzing geographic data?
• Are special skill sets required to use location information?
• How can organizations best develop a strategy for using geographic data?
Blake Sheldon, Solutions Architect and Sarah Harden, Systems Engineer
Join SAS experts for this webinar and demo and learn how to take your workforce analytics from good to great. Learn how to put data-driven decisions within everyone’s reach when you empower your HR department with advanced (yet easy-to-use) SAS® analytics, BI and data visualization.
Tamara Dull (SAS Best Practices), Barbara Cosgriff (SAS Institute), Debra Baker (Cisco), Jeanne Alley (LexisNexis)
Have you ever read The 48 Laws of Power by Robert Greene? This bestselling book, with all its fans and critics, reminds us that life isn’t black and white, and teaches us through 48 laws how to live in the gray areas. Interestingly enough, those in cybersecurity should feel right at home in this gray space.
In this all-women panel discussion, Tamara Dull picks out ten of these 48 laws, and talks with cybersecurity experts to help draw out parallels for women who desire to be more powerful and successful in their cybersecurity (and tech-focused) endeavors.Come prepared to listen, hear differing views, and ask your questions at the end. We’re prepared to have a good time with this one!
- Barbara Cosgriff, Software Security Architect at SAS Institute
- Debra Baker, Product Certifications Engineer at Cisco Systems
- Jeanne Alley, Manager, Global Information Security at LexisNexis
- Tamara Dull, Director of Emerging Technologies, SAS Best Practices
In today's organizations, you need to get relevant data quickly to drive faster business decisions. With big data, sometimes that's easier said than done.
SAS® Business Intelligence offers predictive insights with the ability to understand the past, monitor the present and predict outcomes, no matter the size or complexity of your data. In fact, SAS helps you deliver accurate, valuable information – from Hadoop or any other big data source.
Plus, SAS offers an integrated, flexible presentation layer for the full breadth of SAS Analytics capabilities: data and text mining, statistics, predictive analytics, forecasting and optimization.
One of the key components of SAS Business Intelligence, SAS Visual Analytics, offers self-service data discovery, enabling even nontechnical business users to explore billions of rows of data in seconds. With this tool, you can discover more opportunities and make more precise decisions, easily publishing reports to the Web and mobile devices.