analytics

7月 302016
 

Were you the kid who sat there analyzing the amusement park map before entering the park, planning out how you could visit the most rides in the least amount of time? If so, then this blog's for you, my data analyst kindred spirit! And to get you in the mood, […]

The post Most efficient way to find rare Pokémon appeared first on SAS Learning Post.

7月 282016
 

The way your graph looks can make all the difference ... two people can graph the exact same data in essentially the same way, but one of the two graphs can be perceived as much better than the other. Hopefully reading my blogs will help you create the better graph! […]

The post How to dress (your graph) for success! appeared first on SAS Learning Post.

7月 272016
 

Bellagio Hotel for Analytics ExperienceFirst it was the patriarch of my favorite family. That shocking Red Wedding scene meant I could cross off several more characters I’d grown to love. When the season finale of Season 5 left me asking if we’d lost yet another one of my favorites, I wasn’t sure how much more I could take. Of course, I’m talking about the often surprising deaths of some of our favorite characters in HBO’s wildly popular series Game of Thrones. If you’re a fan of the show you know that no one, regardless of how important they are to the storyline, is safe from an untimely demise.

Though I’ve grown somewhat accustomed to saying goodbye, it sure would be nice to know the likelihood a particular character will live or die, just so I can prepare for the heartache in advance if need be. Thankfully, Taylor Larkin, a student at the University of Alabama, thinks survival data mining can help. He plans to show us how in an e-poster he'll present at this year’s Analytics Experience conference, September 12 – 14, at the Bellagio hotel in Las Vegas.

Using plot points from the books the TV series is based on, along with survival data mining using the Survival node in SAS® Enterprise Miner™ 13.1, Larkin has created an analysis that estimates the probabilities popular Game of Thrones characters will survive through time. His research was inspired by the analysis and datasets created by Olin College Computer Science Professor Allen Downey and some of his students, who used Bayesian survival analysis to do something similar.

Analytics Experience conference presentations

Larkin’s sure-to-be awesome presentation is one I’m really looking forward to seeing, but it’s also just one of more than 100 talks planned for the event. The Analytics Experience conference provides attendees an in-depth look at some of the latest research, top trends and new techniques being used in the field of analytics. This is the nineteenth consecutive year that SAS has hosted the event.

This year’s conference offers six keynote addresses and dozens of session talks. Some of the topics presenters will cover include customer intelligence, business intelligence, data management, Hadoop, fraud, cybersecurity, risk analytics, and the Internet of Things. E-Poster presentations, demos, training classes and table talks provide even more insight and allow attendees to explore other creative ways to use analytics.

A number of the talks will come from university students – I always find them to be a great addition to the conference’s content. Besides Larkin’s talk, student presenters will show you how to use analytics to do things like detect sarcasm on social media, build a restaurant recommender engine or defend Steph Curry, something the rest of the NBA couldn’t seem to do last season.

Though talks are still being added every day, a large portion of conference presentations are now available.

Keynote speakers include:

  • Jared Cohen, President of Jigsaw and Chief Advisor to the Executive Chairman of Alphabet.
  • Jim Goodnight, CEO of SAS.
  • Amber MacArthur, President of Konnekt.
  • Jeremiah Owyang, Founder of Crowd Companies.
  • Jake Porway, Founder and Executive Director of DataKind.
  • R. Ray Wang, Principal Analyst, Founder and Chairman of Constellation Research.

If you’re in the field of analytics, there isn’t a better conference to help advance your knowledge. It’s an event I look forward to every year and I hope to see you there.

For more information, visit the website or join the community dedicated to the event. You can also view a number of videos from last year’s event on YouTube.

P.S. If you do make it to Vegas in September, let’s plan to meet at Larkin’s e-poster. We’ll find out together how likely Tyrion is to make it safely through Season 6!

tags: analytics, analytics conference, analytics experience, Game of Thrones

Will your favorite Game of Thrones character survive next season? was published on SAS Users.

7月 272016
 

Back in 2001, when I started working in the enterprise marketing software business, customer relationship management or CRM was seen as the cure all from a sales and marketing perspective.

“If only we could more quickly send direct mailers offering a buy one, get one video rental, we could corner the market” one executive told me. CRM deployments at that time were costly and resource intensive.

My how times have changed.  But one thing hasn’t changed – there remains three critical components to consider when standing up a solid customer intelligence software solution – data, insight and action.

Data meaning a centralized data repository – containing first and third-party data. Insight being intelligence derived from the use of analytics. And action being the ability to orchestrate interactions across sales, service, and marketing touch points.

Recently, SAS partnered with Forbes Insights to look in depth at the first component in this trilogy – data. This report, Data Elevates the Customer Experience, looks at how data insights can be customer experienceused to improve the overall customer experience with brands.

It’s clear that data management and integration are crucial components of delivering customer experiences that are relevant, satisfying and valued. If the foundational component of data is not a source that is trusted, reliable, and of high quality – marketing efforts will be subpar. Period. Some interesting findings from the report:

  • 20 percent report that individuals in their organization are able to take advantage of information and derive actionable insights from data being shared across their enterprises.
  • 14 percent of executives are able to report that their data is structured on a cross-functional, synchronized way.
  • 45 percent of respondents claim their data is “not yet fully integrated”.
  • 41 percent say their data is still siloed by departments.

Primary challenges to greater insight around customer experience management are familiar: siloed business units (34 percent), legacy applications (33 percent) and siloed applications and processes (28 percent).

The recurring message throughout the report was that a centralized and integrated data store, that contains all data sources and types, provides the most benefit to organizations. Siloes are still a huge challenge and integration is still difficult – especially when purchasers of data management, analytics, and marketing applications take a best-of-breed approach – without considering how those components work together. As Mike Flannagan of Cisco stated, “IT systems may take years to integrate, and now we’re seeing it with [Internet of Things] environments.

I interpret that to mean – data and system integration has historically been difficult with backend environments – and that challenge isn't going away any time soon.

Additionally, a previous Forbes Insights report found that predictive analytics and the ability to deliver real-time insights across all channels are top of mind. However, in order to deliver these capabilities sound data management and data integration have to come first.

So what can you do at your organization if you see these same issues and want to tackle them head on? I would offer a few suggestions:

  • Consider a master data management solution. Organizations need the ability to manage multiple data domains, on-board source system data, match at the master data level and enable data governance – both at an analytical and operational level. Keeping data up to date, clean and relevant will drive better insight and action.
  • Use analytics to derive insight. If your data isn’t sound, your analytics won’t be great, but if your data house is in order, then analytics will uncover intelligence about your customers that will send your customer experiences skyrocketing.
  • Use data to inform marketing process orchestration. The better your data foundation is, the more insight you will have when setting up customer journeys and mapping them out across inbound and outbound channels and touchpoints.

These are just a few ways that you can take action to improve the customer experience. I would encourage you to look to a vendor, like SAS, that provides a truly integrated marketing solution – from data to insights to action. This will make your organization more efficient and help you to avoid the issues that our friends at Forbes found.

tags: Advanced Analytics, brand, customer experience, data management, Forbes Insights, marketing operations management, marketing optimization, master data management

Winning the customer experience war begins in the data trenches was published on Customer Intelligence.

7月 262016
 

One of my favorite quotes is: "You can't believe everything you read on the Internet" - Abe Lincoln, 1868. And that is especially true when it comes to graphs and statistics. Hardly a day goes by without me seeing a bad graph that misrepresents the data (either intentionally or unintentionally) . […]

The post Do you trust statistics? appeared first on SAS Learning Post.

7月 222016
 

With the Pokémon Go craze sweeping the world, techies and programmers are looking to apply their skills to gain an advantage over the average user. In this blog post, I show how to use some of SAS' geospatial analytics capabilities to capture a Pikachu. Let's say you know of a building that has […]

The post How to use SAS software GMap procedure to capture Pokémon! appeared first on SAS Learning Post.

7月 202016
 

What would it be like if the US was in the EU? I don't know how that would work out politically, but this map shows how it might look geographically (if the US was literally picked up and moved to Europe!) My buddy Rick Langston is a bit of a […]

The post Putting the US in the EU ... bucking the Brexit trend! appeared first on SAS Learning Post.

7月 182016
 

Modernization is a term used to describe the necessary evolution of information technologies that organizations rely on to remain competitive in today’s constantly changing business world. New technologies – many designed to better leverage big data – challenge existing data infrastructures and business models. This forces enterprises to modernize their approach to data […]

The post Modernization and data-driven culture – Part 2 appeared first on The Data Roundtable.

7月 162016
 

So, how many different Pokémon have you caught - and more importantly, how many different kinds are still out there that you haven't caught yet? I've created some graphs that might help you figure it out! I think my previous blog post might have irritated some of the hardcore Pokémon players out there […]

The post Pokémon: Gotta graph 'em all! appeared first on SAS Learning Post.