Big Data Statistical Visualisation: can everyone be a Data Scientist?

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.

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

This webinar will provide a high level overview of how localized assortments and customer-centric merchandise planning can power your omnichannel business strategy.

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.

We’ll answer:
• 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?

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.

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!

Panelists:
- Barbara Cosgriff, Software Security Architect at SAS Institute
- Debra Baker, Product Certifications Engineer at Cisco Systems
- Jeanne Alley, Manager, Global Information Security at LexisNexis

Moderator:
- Tamara Dull, Director of Emerging Technologies, SAS Best Practices

It is estimated that women make up 11 percent of the cybersecurity workforce. There’s no question that we need to get more women involved, especially as we move into this Internet of Things (IoT) era where data volumes are growing exponentially, and information security continues to be a hot topic amongst IT, executive boards, and everyone in between.

In this all-women panel discussion, Tamara Dull will be talking with cybersecurity experts about its threat, the impact of technology, why women need to be involved, their advice for President Trump, and the landscape moving forward.

Come prepared to listen, learn, ask your questions, and have a good time.

Moderator:
Tamara Dull, Director of Emerging Technologies, SAS Best Practices

Speakers:
- Barbara Cosgriff, Software Security Architect, SAS Institute
- Debra Baker, Product Certifications Engineer, Cisco Systems
- Jeanne Alley, Manager Global Information Security, LexisNexis
- Jennifer Rosario, Manager IT Risk Governance, First Citizens Bank

No matter how you feel about Edward Snowden, we could probably all agree that he played a significant role in bringing the privacy and security discussion to the Town Square. His actions have triggered a lot of discussions—within the U.S. government and outside, most notably with the tech industry and its citizens. But has anything changed? And how are things changing now that the United States is under a new administration?

Join Tamara Dull in this webcast as she highlights key events since Snowden’s revelations, where we’re at today, and what’s on the horizon as we move forward with the Trump administration.

About the Presenter:
Tamara Dull is the Director of Emerging Technologies for SAS Best Practices, a thought leadership team at SAS Institute. Through key industry engagements, and provocative articles and publications, she delivers a pragmatic perspective on big data, the Internet of Things, open source, privacy, and cybersecurity. Tamara began her high-tech journey long before the internet was born, and has held both technical and management positions for multiple technology vendors and consultancies, and a non-profit. She is listed in the IoT Institute's "25 Most Influential Women in IoT," as well as the "Big Data 2016: Top 100 Influencers and Brands" and "Top 100 Big Data Experts to Follow in 2016" lists.

Heavy industry was first to arrive at the IoT party, quickly recognizing the potential to augment existing processes and establish new protocols. As a result, organizations that embraced the industrial internet of things (IIoT) have been at the forefront of fine-tuning applications and establishing best practices. And while many of those practices have turned out to be impactful, it’s becoming increasingly apparent that the opportunity is much bigger with predictive analytics.

We’ve entered a perfect storm where the falling costs of capturing, processing and analyzing data coincide with the explosion of data streams generated by millions of pieces of connected equipment, devices and systems. And the same technology that created the perfect storm has empowered customers with near-instant data and instantaneous engagement with each other and also with your organization. So the opportunities extend beyond tactical process improvements and have become both strategic and enterprise-wide.

Recognizing and capitalizing on the opportunities requires an evolution of skills and mindset, made possible with key technology relationships. The Industrial IoT collaboration between SAS and Intel enables organizations to capture, process and analyze data. The end result is the ability to evolve their strategic advantage and realize the full value of their IIoT data.

Tune in to this webinar to gain insights and best practices for evolving the industrial IoT into strategic advantage for your organization.

According to a recent study by Bain & Co., realized price affects EBIT more than any other lever: for every 1% increase in realized price there is an 8% increase in EBIT. Yet most companies expend great efforts on improving other levers with less impact and longer time-to-benefit. Most focus on aggressively reducing variable costs, but a 1% reduction in variable costs only leads to a 3% increase in EBIT, and takes much longer to achieve.

Applying advanced analytics to improve company performance is increasingly popular for manufacturers, from quality to reliability to supply chain. To make the most from analytics-based competitive advantage manufacturers need to challenge their existing approach to pricing, and stop leaving money on the table.

Join us to:
* hear the different ways analytics can help with pricing design, analysis and optimization
* understand the underlying mathematical approaches, technologies and deployments
* learn from other manufacturers experiences through case studies

Organizations need a way to get extremely fast insight from any-size data and share it with co-workers of varying skill sets – wherever they happen to be.

Look no further! SAS Visual Analytics lets everyone, even those without significant analytics skills, explore and analyze data. It allows users to quickly see connections and correlations, then immediately share results via the Microsoft Office tools you use every day.

Join us for this webinar to see:

- How common Microsoft Office tools infused with SAS Visual Analytics capabilities can help you share analytics insight.
- How SAS Office Analytics empowers analysts with data preparation and analytics within a familiar environment.
- Ways to explore your data and glean insight that surpass traditional visualization and reporting.

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.

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.

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

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.

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

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

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?

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