The Best of 2017 Digital Intelligence | Pre-Season Edition

LinkedIn has recently become, for us, a wealth of new information on topics in technology we’re interested in and we’re consuming a lot of it. In the process, we’ve figured we can focus in on some of the articles using the bookmark feature, which is great. However, from the desktop, this feature is nearly impossible to find…and who has time to fool around with a desktop UI. While this particular UX fail might affect those who don’t navigate with their thumbs…we will not be discouraged.

In order to create a map back to these for ourselves, we’ve decided to catalog and cite the links which have been interesting, useful, and relevant to our center line on projects we’re working on currently. Some are just good reading or really well organized visualization. Others are links to tools and concepts which we’re working on/near or abandoning just because someone else has already done it better. We’ve read all of these articles, and we think they’re useful, informative, accurate, or valuable in some way enough to have held on to or shared.

For the purpose of organization here too, we’re defining pre-season as anything that happens before the first of Spring (which usually coincides now with the Adobe Summit).

First things first: Scott Brinker (@chiefmartec) produces a steady stream of valuable and useful content related to the marketing technology landscape (one might say he invented it). This current post is a succinct and useful diagram of how large enterprise tethers ‘MarTech’ to a user-centric customer journey.
Text Link: http://chiefmartec.com/2017/03/microsoft-shares-marketing-stack-stackies-awesome/

This is a relevant article about using R/SiteCatalyst related tools in order to perform e-commerce customer-journey analysis. It’s a pretty fantastic step by step guide to installing statistical analysis using the RSiteCatalyst libraries. If you’re interested in learning more, Rohit shares his research and publishes from this link.
Text Link:  http://rpubs.com/rohitgossain/data-mining-web-analytics

There is really nothing like a list of lists, but that is apparently what world we live in now. Derek Tangren from Adobe shares this solid reading list from articles they’ve selected of which the Forbes articles (2) and the Internet Retailer are all fantastic sub-selections from this list. (I’m pretty sure I picked this up from Rudi)
Text Link:  https://blogs.adobe.com/digitalmarketing/news-and-resources/point-sale-retail-travel-weekly-38/

Rather than get into a whole description of this particular post related to the Adobe Summit, we’ll simply quote the part of it you need to focus on (hint: This is where Adobe is going, because this is where the world of AI and Digital Intelligence is going):

This year’s Adobe Summit sessions will focus on three core competencies:

  1. Building a digital foundation for delivering experiences;
  2. Delivering more relevant content, faster than ever before; and
  3. Connecting these experiences among an ever-growing number of channels and devices.

If you’re at the Adobe Summit, or sending people to grab swag on your behalf: take this note – tune in.
Text Link:  https://blogs.adobe.com/digitalmarketing/web-experience/becoming-experience-led-company-customer-experience-management-track-adobe-summit/

As sports fans, DDC is constantly looking at how our industry is making an impact on the world where data meets professional athletics. At the very cutting edge of what makes a customer experience great starts with how to really bring it together for a whole GROUP of people. Our own research into multiple projects has us fixated on how teams reach the audience, the fan, and, ultimately; the community.
Text Link: http://www.nba.com/kings/news/fast-company-selects-kings-as-most-innovative-company-in-sports

This article by MediaMath’s Michael Neiss draws out a quick and simple logical construct for necessity of machine based optimization applied to marketing campaigns. Honestly, this is a breath of fresh air considering how much people hammer on that it’s important and rarely effectively deliver WHY enterprises are in the throes of distress over it..
Text Link: http://www.mediamath.com/blog/why-optimization-in-marketing-matters-more-than-ever/

A former TouchClarity (now Adobe) guy (Jamie Brighton) talks AI and the way in which knowledge of how it can be applied will help lead in a new era of digital marketing and user-interfaces through things like Google Translate and Alexa, as well as focusing some attention on the feedback loops necessary to drive learnings into actions.
Text Link: https://blogs.adobe.com/digitaleurope/digital-marketing/ai-changing-role-digital-marketer/

Generally, this is just a cool article. Apparently, Adobe Systems Headquarters in San Jose broadcasts a 4 part signal set that hasn’t been solved in 5 years. This time, the semaphore (which is a beaconing system used to send messages – had to look that up) was broadcasting the words of Neil Armstrong from 1969.
Text Link:  http://www.mercurynews.com/2017/03/13/adobe-semaphore-code-cracked-by-tennessee-high-school-teacher/

A neglected component of the ‘Customer Journey’ in our experience has been the world of expedited online ordering for restaurants. Mobile devices continue to be a primary interface for many of the food and drink branding experience but only recently has it been tied overall to the actual purchase/delivery tie in.  Big restaurant brands continue to see revenue growth by the convenience of call-ahead or delivery ordering through a variety of vendors. There’s no less than a half dozen analyses we’d love to run for these companies and our experience certainly speaks to having success doing so. The fringe benefits of the data which can be analyzed from that experience can literally change the landscape.
Text Link: http://www.tillster.com/blog/5-questions-to-ask-when-choosing-an-online-mobile-ordering-solution

From a category of applications we wanted to create but just stopped once we saw it is the Tagtician from 33Sticks. As a tip of the hat to good work done in a ‘Just in Time’ fashion…we’d like to recommend you try out this application to help you manage the complexity of the TMS implementation you’re running, and to organize your quality control process around something of a standard.
(Text Link: https://33sticks.com/tagtician_tms_companion/)

Finally – 

The Customer Journey of Healthcare AI : How are we using data science to make the medical industry more efficient, less complex, and more accountable? This is an article on its own and we’ll cover that down the road, but let’s look at some possibilities and what we’re doing to pitch in.

Who can say enough about what AI is capable of in the world of modern healthcare and the digital impact it’s had? Ben Davis from EConsultancy takes a crack at it. Meanwhile, at DDC we’ve been working through a series of intelligent feedback loops and optimization principles applied to how hospitals and medical providers have been impacted in dealing with costs, and patients are impacted in dealing with the fees for their services. Naturally, this article has some appeal and gives us a sense of what to expect, or make a mark. While we prepare integration into some major platforms and test in smaller hospital system markets, we’re keeping an eye on what’s happening on the healthcare horizon, where any impact has a possibility of transferring to real people.
Text Link:  https://econsultancy.com/blog/68851-six-ways-digital-is-changing-the-pharma-healthcare-industry/

Happy reading and sharing if you’re so inclined. We’d like to touch base again from time to time on articles like this and highlight some of what we’re working on and the direction we’re taking to get valuable information out into the marketplace of ideas. If you have some links or articles related to these subjects, please feel free to contact us and share or just open a discussion in the comments, or through our twitter account (@decisiondataco) and/or Facebook.com/DecisionData

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