On my way to work yesterday, I found three pennies in three blocks -- all heads up. It was my lucky day -- and today is yours. Why? Because we're sharing a sample of some of the latest blogs from the team at SAS, the sponsor of this site.
Staying relevant to your customers: Jennifer Griess, a member of the SAS Executive & Sales Communications team, discusses how retailers can retain customers in an era of unparalleled retail choices. When it comes to marketing, “we’ve got to look at how we can do things differently, how we can monetize and use new data sources,” said Jim Davis, senior vice president and chief marketing officer at SAS. “It’s not just about being good enough, it’s about being much better than your competition and making sure that the experience you provide your customer exceeds that of your competition.” Read more of Will your customers choose you or lose you?
Using data visualization to stop cybercrime: Cyberthreats have evolved beyond small-time hackers into coordinated attacks by organized cyber criminals. And now many organizations are using advanced analytics and data visualization technologies to detect and predict attacks, explained Ellen Joyner-Roberson, fraud and financial crimes principal marketing manager for SAS. Advanced analytics and data visualization "help employees who aren’t data scientists or analysts to ask questions of the data -- based on their own business expertise -- to quickly and easily find patterns, spot inconsistencies, even get answers to questions they haven’t yet thought to ask." Read more of Data visualization meets cyber crime.
Making analytics more approachable: Natalie Osborn, senior solutions architect for SAS Institute’s Hospitality and Travel practice, shared how organizations can make analytics more approachable with data visualizations. "Data visualizations enable non-technical users to experience and share 'aha moments' with an impact unmatched by static graphs, spreadsheets or reports. They allow a user to move from simply collecting and reporting data to deriving business insights from that data. Advanced data visualizations can support more in-depth and complex analytics." Read more of Making analytics more approachable with data visualization.
Using data to cure disease and improve health outcomes: You've probably heard of the three big-data V's -- volume, velocity, and variety. But there are two more V's emerging that will have a direct relation to healthcare, noted SAS Corporate Communications Manager Becky Graebe. "Value is increasingly important with multiple stakeholders who place different value on the data gathered. For instance, the value of the data from a patient’s glucose monitor is different for the doctor, the device manufacturer and the patient. Validity is also an important consideration as accuracy and completeness factor huge in decision-making." Read more of What is the future of big data in health care?.
I lost won on Jeopardy: What could be more useful than strategies to win on a popular game show? Hear how Roger Craig “reverse engineered the game of Jeopardy!” to increase his probability of answering questions correctly -- and won the Jeopardy Tournament of Champions. " 'I’ll admit it. I guess I was a little obsessive about my Jeopardy! preparation,' he joked." Read more of Engineered to win at Jeopardy! -- and watch the video below.
Speaking of patterns and cybercrime, reminds me of the keifer sutherland series called touch. I guess even the employees without data science training with other expertise should be able to spot meaningful patterns to catch cybercrime.
My husband, a broadcaster, was in a Thanksgiving day parade and Alex was the master of ceremonies. At a luncheon afterward he walked over to see the baby. He asked if he could hold her and did-- to the point I thought I would never get her back!
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2014 VA Interactive Roadshow -- BostonThe 2014 VA Interactive Roadshow will feature SAS® Data Management and SAS® Visual Analytics experts covering topics like prepping data for VA and VA integration with SAS® Office Analytics. This year's events will keep presentations at a minimum and focus on giving attendees hands-on exposure to the latest version of VA.
Data Exploration & Visualization Get hands-on training that focuses on the critical steps in the process of analyzing data: accessing and extracting data, cleaning and preparing data, exploring and visualizing data. This INFORMS course will use several of the most popular software tools intensively, and provide an overview of the range of software options.
Foundations of Modern Predictive Analytics In this INFORMS course, learn about modern predictive analytics, the science of discovering and exploiting complex data relationships. This course will give participants hands-on practice in handling real data types, real business problems and practical methods for delivering business-useful results.
2014 VA Interactive Roadshow -- AtlantaThe 2014 VA Interactive Roadshow will feature SAS® Data Management and SAS® Visual Analytics experts covering topics like prepping data for VA and VA integration with SAS® Office Analytics. This year's events will keep presentations at a minimum and focus on giving attendees hands-on exposure to the latest version of VA.
LEADERS FROM THE BUSINESS AND IT COMMUNITIES DUEL OVER CRITICAL TECHNOLOGY ISSUES
The Current Discussion
Visual Analytics: Who Carries the Onus? The Issue: Data visualization is an up-and-coming technology for businesses that want to deliver analytical results in a visual way, enabling analysts the ability to spot patterns more easily and business users to absorb the insight at a glance and better understand what questions to ask of the data. But does it make more sense to train everybody to handle the visualization mandate or bring on visualization expertise? Our experts are divided on the question. The Speakers: Hyoun Park, Principal Analyst, Nucleus Research; Jonathan Schwabish, US Economist & Data Visualizer
The hospitality industry gathers massive amounts of customer data, and mining that data effectively can yield tremendous results in terms of improved CRM, better-targeted marketing spend, and more efficient back-end processes. Roger Ares, vice president of analytics at Hyatt Corp., discusses the ways he and his staff use big data.
Charged with keeping track of travel assets, including employees, iJET International relies on data management best-practices and advanced analytics to keep its clients in the know on current and potential world events affecting travel, Rich Murnane, Director of Enterprise Data Operations & Data Architect, told All Analytics in an interview from the 2014 SAS Global Forum Executive Conference.
Jason Dorsey, chief strategy officer for the Center for Generational Kinetics and keynote speaker at last month's SAS Global Forum 2014, describes how Gen Y professionals are enhancing the makeup of multigenerational analytics organizations.
From analytics talent development to the power of visual analytics, All Analytics found a variety of common themes circulating throughout the exhibition floor and session discussions at the 2014 SAS Global Forum and SAS Global Forum Executive Conference events held last month in Washington, DC.
Talking with All Analytics live from the 2014 SAS Global Forum Executive Conference, Eric Helmer, senior manager of campaign design and execution for T-Mobile, discussed the importance of customer data -- starting internally -- in devising the mobile operator's marketing plans.
The big-data analytics market can be a confusing place. Among the vendors vying for your dollars are traditional database management providers, Hadoop startup services, and IT giants. In this video, All Analytics editors Beth Schultz and Michael Steinhart sit down in a Google+ Hangout on Air with Doug Henschen, executive editor of InformationWeek. Henschen discusses use cases for big-data analytics, purchase considerations, and his recent roundup of the top 16 big-data analytics platforms.
At the National Retail Federation BIG Show last month, All Analytics executive editor Michael Steinhart noted a host of solutions for tracking and analyzing customer activity in retail stores. From Bluetooth beacons to RFID tags to NFC connections to video analytics, retailers must find the right combination of tools to help optimize the shopper experience, streamline operations, and boost revenues.
The days when historical shipment trends and gut feelings were enough to forecast retail demand accurately are long over. SAS chief industry consultant Charles Chase outlines the benefits of pulling real-time sales information from point-of-sale and product scanner systems, then flowing that data into dynamic forecasting tools from SAS.
With today's advanced visual analytics tools, you can stream data into memory for real-time processing, provide users the ability to explore and manipulate the data, and bring your data to life for the business.
Dynamic data visualizations let analysts and business users interact with the data, changing variables or drilling down into data points, and see results in a flash. Advance your use of data visualization with tools that support features like auto-charting, explanatory pop-ups, and mobile sharing.
No doubt your enterprise is amassing loads of data for fact-based decision-making. Hand in hand with all that data comes big computational requirements. Can traditional IT infrastructure handle the increasing number and complexity of your analytical work? Probably not, which is why you need a backend rethink. Big data calls for a high-performance analytics infrastructure, as Fern Halper, a partner at the IT consulting and research firm, Hurwitz & Associates, discusses here.
Redbox's bright-red DVD kiosks are all but ubiquitous these days, located in more than 28,000 spots across the country. Jayson Tipp, Redbox VP of Analytics and CRM, provides an insider's look at how the company has accomplished its phenomenal nine-year growth.
InterContinental Hotels Group (IHG), a seven-brand global hotelier, has woven analytics into the fabric of its operations. David Schmitt, director of performance strategy and planning, shares IHG's analytics story and his lessons learned.