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The Results Are In: Presenting Data to Decision Makers
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Thanks, Marshall, and I shall definitely be looking at your book!

Blogger

Well, there's a math of Goldilocksness -- look up "optimization theory" and "operations research."  But it's hard and it works best when applied to cases that are well understood -- and so far, marketing is not.

Blogger

yeah, can't keep up with the banter here - was too busy writing to really read what everyone was saying, and need to drop off now - but I invite all of you to continue the conversation with me - and hopefully, take a look at my book if you get a chance.   

Blogger

I don't know if there's a proper equation to find "Goldilocksness"

Data Doctor

Yes, you're absolutely right! Especially regarding "cause". This happens a lot in the stock market though - you can never isolate variables or do repeatable experiments - that's why its a bit of an art compared to what scientists are used to, I guess. Thanks again John for sharing this excellent point. Thank you again Marshall for sharing your helpful answers and insights! I see your point about the tachometer - but what about just bringing in more revenue than they are currently bringing in, even if you sometimes miss? It may not need to be perfect.  Exactly - "Goldilockness" - I like the term!!

Prospector

Now there's an idea for another blog;  how do you measure "Goldilocksness" (i.e. not too little, not too much, but just right)?

Blogger

There were cars for a decade before Henry Ford saw that they could be a useful part of ordinary people's lives instead of a fun toy for rich people.  And then it was another generation before Kettering figured out what would be needed to make them drivable by everyone, and Sloan figured out how to sell it (and they created GM).

Blogger

Also the right answer may not be a maximum or minimum.  Your manual shift car always speeds up when you give it more gas (at least till it stalls) but for efficiency you want to be just ahead of the peak on the power curve, which is neither the high nor low point on the tachometer.  Similarly, some things can be marketed right into being over; you need a metric that can see that danger.

Blogger

Seems incredible -- people saw the potential, but not the means of broadening to the general public?

Blogger

And thanks all for jumping in with your great questions. McGraw Hill has been gracious enough to provide copies of the book. So we will be drawing among our participants for a free copy!

Blogger

Noelle, the problem is that if you're trying to steer by it, you need to know whether you caused it.  If my Christmas tree business has a big leap in December, it might not be just a matter of my brilliant campaign & message in November. 

Blogger

That is very sad John! Just think of the number of ideas that are perhaps still "shelved" that could be creating value!

Prospector

Beth, not to digress too much, but there was a working TV broadcast setup in Philo Farnsworth's barn in 1926; the right bankers could probably have had TV out there and available before 1930.  Microwave ovens were being used experimentally in some restaurants in the early 1950s.  Everything needed to launch a satellite -- if it had been assembled right -- was available before WW2. 

Blogger

Thanks for the informative session today

Data Doctor

Marshall, thanks so much for participating. 

Blogger

Thank you! This was very informative.

Prospector

Thanks everyone for your questions, I will try to answer them offline - you can reach me at @webmetricsguru or now.seo@gmail.com and I'll try my best to get back to you, when I can.

Blogger

We've hit our hour mark, and I know Marshall has to take his leave now.

Blogger

Thanks - I'll check out ARF!

Prospector

as equal partners to sales and biz dev, not subordinates, as they are, today, for the most part.

Blogger

Thanks John. What about settling for something realy simple like up vs down? Is this not informative relative to what is already out there? Thanks.

Prospector

Basicly, the biggest thing one could do today to improve results is get everyone one over to the ARF (Advertising Research Foundation) and read the Listen First! book by Stephen Rappaport - just to realize that many of the issues with social data would be easier to handle if the right people with right orientation and training were running these systems and also running the projects.

Blogger

Noellel, the bigger problem is that if it's a Markov chain it's a matrix to the Nth power, not some simple coefficient.  So instead of saying Before Plus Campaign Equals After, and thus coming up with a constant to multiply Campaign by (spend X bucks, get Y more sales), you've got to understand a much more complex relation, which takes more data, more time, more insight -- and a lot more sales effort to get people who really just wanted a magic number to listen

Blogger

that is essentially want you need to do to make your data set more predictable and less noisy.

Blogger

Howver, by doing these steps first, most of the platforms will surfice for market research

- CUSTOM SOURCE IDENTIFICATION (for all use cases except Crisis Management)
- CUSTOM CRAWLING OF DATA SOURCES 
- CUSTOM DATA EXTRACTION
- CUSTOM ANALYTICS PLATFORM
- CUSTOM ANALYST PAIRED WITH PLATFORM with industry expertise
- CUSTOM REPORTING AROUND KPI's chosen by firm and client

Blogger

But I think the platforms we're using should be more directed to Market Research, even though they platforms aren't yet good enough, in many cases to do good market research.

Blogger

while marshall is answering that, wow -- john -- 20 to 50 years before they did. how can that be possible? 

Blogger

Well, Noellel, about campaign effectiveness - I will say that it is important - but Social Media Analytics has the other use case, Market Research, which is actually much more interesting to work with.  Campaign effectiveness is just an extension of the same kinds of measurement your already doing in other channels - and to the extent your tools and platforms get better - that more planning is done - this will improve.

Blogger

marshall --john and noellel are talking re her question: So why is campaign effectiveness measurement currently problematic? Can you run a marketing campaign and then measure sentiment, for example, using keywords from the campaign to see what people are saying onf FB etc? Is the data not clean enough? I can see why the few dollars spent is problematic for development of any capabilities! 

any thoughts to share?

Blogger

Getting business to pay for development, especially long term, is a problem for every innovator, all the time. Based on casual research I've done for books I'd guess that most innovations could have hit the market 20-50 years before they did. 

Blogger

Your point about the numbers is very helpful :)

Prospector

Thanks John, that is very helpful. What about comparing numbers like : sentiment BEFORE campaign and sentiment AFTER campaign? Is see what you are saying aboutthe Markov chain - I think a TV ad takes 3 exposures to reach its audience which is associated with a time frame, so couldn't you just plot sentiment to check back after this time had passed to see if there is any response? Even if the shape was not linear, does this matter?

Prospector

Kiyosaki pointed out that millions of people could cook a better burger than the McDonald brothers but apparently no one could come up with a better business model than Roy Kroc.  In marketing metrics, anyway, nearly all of us are good cooks wandering around looking for a Roy Kroc to organize us and sell our product

Blogger

that's why I wrote the book

Blogger

Ah. So the pervasiveness, easiness of access, and to use is translating into the same sense from the business side. learning from it, measuring from it, etc., should be as simple as tweeting, so to speak? that is a problem!

Blogger

All these things are possible with social data, but take a lot of work because the data is largely unstructured to begin with.

Blogger

Going back to establishing value of data and those who work with it: I see these issues particular to people, organizations and firms who haven't yet transitioned into networks thinking and consequently lack appreciation and expertise in strategic thinking. If this capability is present, the empowering value of data is obvious.

Prospector

But, in truth, this is a factor here - we have all this work to do - up frount, before we can even use social data,for almost anything - and no one, for the most part, wants to pay for it.

Blogger

BUt.. did you know that it took people several thousand man hours to figure out how to strucutre a franchise like that - any franchise - and any particualar store or outlet has a lot of work to go on behinds the scenes - customer doesn't see that, doesn't care

Blogger

i'm interested to find out where you're going with this one, marshall!

Blogger

But I want to point out something that few have considered - when I go into a McDonalds, and order my Big Mac, ai want to get it right away - nothing should stand in the way of me, as a consumer, getting what I'm there to purchase.

Blogger

Another is that campaign effectiveness isn't one number -- it's probably something more like a Markov chain -- so there's a lot of stuff inside the black box to sort out.

Blogger

I like that imagery, John -- White Coat Fetishism (plus your princess and frog from before). 

Blogger

As a result - they have a problem with this "social data" that they may not have for BI, EMAIL, and House List data - they don't yet see why they should pay for it - esp as it often does not answer their basic questions - and I have to agree - it's hard to ask money when your basic platforms, even t he paid ones, can't answer basic quesations about "reach" or who is being reached, stuff you get from the others.

Blogger

One big problem in campaign effectiveness measurement is that there's no large public established base of experience, so we don't know whether any given number is a big number, a little number, or a meaningful number at all.

Blogger

THough Google Analytics is a powerful platform that benfitis from customization - it's also true that people feel they can do most of what they need for themselves.

Blogger

So why is campaign effectiveness measurement currently problematic? Can you run a marketing campaign and then measure sentiment, for example, using keywords from the campaign to see what people are saying onf FB etc? Is the data not clean enough? I can see why the few dollars spent is problematic for development of any capabilities!

Prospector

It's also true that Google Analtyics, which was Urchin (and used to cost 300 per month per account, etc) has been free since 2005.

Blogger

There's also a lot of "White Coat Fetishism" -- the analyst tells them what the analyst can glean from the data, which may be very little, and they then announce that "you have to do it our way Because We Gots A Analyst. Sometimes we think we're providing guidance and they're using us for cover.

 

Blogger

it's also true there are  alot of free tools out there, particularly around Twitter Analytics - but also for Facebook, that people are wondering why they should pay for anything when the data and some analytics platforms are free.

Blogger

I spent some time in my book explaining that social data is free - we all tweet and post to facebook and blogs, and flickr, etc, and linkedin, more or less for free. 

Blogger

On top of it, the clients, both internal and external, only want to spend a few dollars on it - and that is a discussion of it self.

Blogger

Another is market research - few of the people who operate listening systems, esp in Marcom, but anywhere really, have a market research background - the systems can not handle large queries, they do not do well cleaning data, they can not auto catgorize well - yet, and yet the ask requires many of these things

Blogger

This goes to my earlier question.  What incentive do the business people have to pay attention?  Absent that it's going to be a tough road.  Or maybe more appropriately how do you articulate the value to them so they will pay attention?

Blogger

Hi Noellel - one of the most common things is the effects of their marketing campaigns - or a specific placement in a marketing campaign.

Blogger

What types of things are the marketing and biz dev folks asking for that the systems are not (yet?) built to deliver?

Prospector

That's why I wrote my book - for that and one other reason - to help buisiness understand people like me. 

Blogger

It's also the wrong people making decision on platforms they can not meaningfully evaluate - that is what got us in is delemia in the first place.

Blogger

The people making decisions are sales and business development people, who could could not care less what we do - only what they can deliver - and I find in organizations, that sales and marketing do not yet understand these platforms and tools and askiing of them things they are not built to deliver - and at the same time, can not articulate their quesations or qoals in a way that could be answered by these systems and process.

Blogger

Hi Beth, it's not so much a new skill set - it's an new respect for the Analyst - the analyst, coder, whatever you want to call us - is still treated like a clerk - glorified, more or less, often well paid, but a clerk none the less.

Blogger

AI is comuing to the resuce, has to - queries are getting too long and coplicarted, platforms can't run then much longer. the requirements demand AI - but most platforms simply haven't yet "gotten it" or cought up.  It's a difficult problem to handle, no doubt. NO universal anwers yet.

Blogger

so a bit ago i had asked about "robotic training" and whether it requires a new skill set within an analytics team. but perhaps this need is being addressed out in the market and developed into tools?

Blogger

Sounds like a very short courtship

Data Doctor

Another example is ITA's NeedleBase - Google, I postualted, bought ITA because of it - I can't prove that, but the patent for Needle was filed in June 2010, and ItA was first aquired by Google in July 2010, the aquisition finalized in March or April, can't recall which

Blogger

Experience is SO critical! Links to meaningful data :)

Prospector

but till I can touch these things myself - I tend to just refer to them - when I can say to you that I have used Glide and this what it did for me - I will push it everywhere.

Blogger

oh, there's my answer on glide intelligence!

Blogger

And, though my friends at Glide Intelligence in London are on it, I can't say I have actually seen their platform run, something they've been promosing me for a while.  But from what I have been told, Vertuli Login and the AI that has been built into Glide Intelligence can handle things well such as intelligent tickers and root cause determination.

Blogger

Glide Intelligence? Is that a company?

Blogger

I like that question, Beth!

Prospector

work in AI to make robotics and AI more intelligent is progressing - but few social platforms have inforporated it sufficently to make it useful -those who have, such as Glide Intelligence, aren't talking much.

Blogger

so "robotic training," does that require a skill type that we would normally see among an organization's analytics' team, or are we looking for new skill sets, ones really germaine to social media?

Blogger

The best analogy I have is weith robotic end effectors for car assemebly - they can do a lot of repetitive work -but the setup has to be very precice - every movement needs precision for the robotic program - otherwise, the end effector (hand device) won't grap and pick up the assembly unit - a loose coupling is probably not good enough.

Blogger

Most of the social data, with a few exceptions, needs to be coded, tagged, categorized by humans or by robotic means - but the robots neet to be trained, and this is fairly specialized and a requirement of it's own.

Blogger

there's no point in reporting if you don't see the data intergrity - but that might involve so much work in social - work we don't usually have to do in search or email or house lists (that already are cleaned somewhat) or Web Analytics - 

Blogger

I don't think that proposed metrics no one used are a waste of time; I think they're sort of the frogs you have to kiss before you find the prince of the really good number.  And understanding the froggishness of the failed measurement can often help focus the effort on constructing a prince next time.

Blogger

Beth, it is a big issue - cleanleness of the data is the most important issue of all - if you have no confidence in the data your collecting - your report will suck

Blogger

Marshall, kind of sounds like this data enrichment might require a leap of faith about the "cleanliness" of the data you're pulling into your data warehouse. Or is that a nonissue?

Blogger

IN another example, you can take web analytics data, if it is set up well, as I discussed yesterday, and add in the social data that could have referred back that specific page, and then tie in you social efforts to tarffic on the site.  Also, you could have used certain types of tools that checked browser hisatory to see if you have been in certain locations onteh web web, such as microsite - so that your branding (if you ran a campain) is effective or not, abnd by how much

Blogger

It sounds like a lot of the current work in relational databasing and table-driven AI will probably eventually contribute a great deal to the triangulation process.

Blogger

In turn, once you have that data, you can use zipcode information (that you might have) to trigaulate geo-demographics and overlay that information to your list - this give you a much richer data warehouse to make predictions on future behavior of these people.

Blogger

John, as a result of measures going viral but than that fade out ... is that mostly  wasted effort, then, or can we still get value from those "experimental" measurements?

Blogger

Hi Beth, triagulation is overlaying data that adds value - for example if you have a database list internally, you can do more with it if you use data enrichment (aka PeekYou.com to get twitter and facebook account information) and so on - as well as sites that you never collected in your database

Blogger

Thanks for that information regarding the Web Science Trust. I will look into this as well.

Prospector

Some more established branches of statistics also have the tradition of the journal article with a title something like "a proposed measure of ...." or "a way to measure ..." A few measures go viral and become standards (like P/E ratios, GDP, average hours worked, etc.)  Most fade out.  Eventually people figure it out.

Blogger

so let's move onto next question: Marshall, we've gotten a couple of questions relative to your comment about triangulation. can you explain more about triangulating analytics platforms in regards to social media analytics?

Blogger

i'm not familiar with the web sceince trust. will definitely ahve to look into that! 

Blogger

The Web Science Trust, I feel, is the standards body for the future - it is not about about marketing or PR, like the others - but pure science.

Blogger

FInally, the Web Science Trust in the UK, and here at NortthWesten University - and some others, I feel, is the most exciting, "sexy" body to be part of - it's headed by none other thanTim Bernes-Lee and his cohorts and operates as a "trust" to study web science.

Blogger

Also, the Web Analytics Asssocation is doing some measure of work in this area, but they did more when I was involved - after I left, and partly over this, they fell back to foucsing on marketing measurement and did not do as much as they could have.

Blogger

Hi Cordell, how do we faciliate creating standards? We work and empower the IAB, the CIPR, etc, standards bodies to do that for us by parcipating in them - they already have study groups that have been going on for a while and are doing worthy work in this area.

Blogger

so the idea of creating standards for this is interesting, as cordell asks about. anything more on that marshall?

Blogger

Thank you for answering my earlier question Marshall :). If you can elaborate - what is the best/easiest way to triangulate? I believe that Aglevy asked a similar question also.

Prospector

But I understand many platforms resist standards because they inhibit innovation and are somewhat forcing transparancy, which may reveal more than what the platforms would like others to see and know abourt them.

Blogger

I think you just persuaded me to buy that book!

Blogger

And the problem with a good universal framework is that we'd need someplace doing a long term commitment to basic research to develop it; it's too new for the universities right now, and the innovate private labs like Bell, Westinghouse, IBM, etc. are sadly fading from the picture as the immediate-bottom-line considerations take over.

Blogger

John, the other thing that I discussed in my book in chapter 1 was the IAB's VAST standards for Video Advertising did wonders to help monetize that sector - before VAST, there was no way an advertiser could get the right controls on a publishers site for video ads.

Blogger

good question cordell (and welcome)!

Blogger

I'm intrigued by the idea of creating standards in a rapidly evolving environment.  How do you/we go about facilitating that?

 

Blogger

Hi John, yes, the basic thing that's missing is a universal framework we can all agree on, and work off of.  Think of the Network theroy that most communications is based on -7 layers of information all the way from the device level and back (ie: TCP/IP, Application layer), etc.

 

We need that kind of frameworks so we can create metrics and subcategorizations around it

Blogger

Actually I thought the list of CUSTOM was a pretty good start on an answer; if everything CUSTOM were available in a STANDARD AND AUTOMATED version, you'd pretty much have the problem knocked.

Blogger

Marshall -- how 'bout JOhn's first question: what do you find is the biggest Thing That's Not There Yet in the way of developing good, standardized, replicable social media stats? 


Blogger

Hi Noellel - yes, triagulating data does help - getting your basic mentions data and overlaying to Google Analytics can be done, but it takes planning - but the more you can triagulate, where there is a good "fit" such as I mentioned at the end of yesterday's webinar with Awareness, the better the information will be. more useful, that is.

Blogger

Marshall, a few questions to get to ... how 'bout starting with Noellel's?

Blogger

Hi, Beth and Marshall.  I'm just thinking about the number of bottlenecks that projects like this run into.

Blogger

A lot of people who work in the marketing communications space don't "get it" yet. Most don't want to pay for this, or are able to peform it, either - best situation is to partner intelligently - in this senario. 

 

Blogger

Thank you Marshall for making yourself available to answer questions via this chat. I have a quick question regarding social media measurement. The question is : how easy is it to convert from measuring responses or sentiments by social media chanel - FB, Twitter, etc to more conventional market segment categories such as income, age etc. so that it can be compared to an integrated with product purchase predictions based on these categories, for example? Are these a part of teh avilable custom reports you mention?

Prospector

Yesterday in a web conference you discussed triangulating analytics platforms. Can you discuss further here?

Prospector

Basic things to do it right include

- CUSTOM SOURCE IDENTIFICATION (for all use cases except Crisis Management)
- CUSTOM CRAWLING OF DATA SOURCES 
- CUSTOM DATA EXTRACTION
- CUSTOM ANALYTICS PLATFORM
- CUSTOM ANALYST PAIRED WITH PLATFORM with industry expertise
- CUSTOM REPORTING AROUND KPI's chosen by firm and client

Blogger

We have to separate use cases first between PR/Comm (cover that in the book, Chapter 7, I believe) to Market Research to Enterprise Business Intelligence, etc - there are a few basic use cases and often, hybrids that are more problematic to set up and maintain because multiple stakeholders have different expectations and often want tailored reporting, often requiring separate reporting (or redoing reporting over and over again for different stakeholders).

Blogger

Hi, glad to join the crowd ... what do you find is the biggest Thing That's Not There Yet in the way of developing good, standardized, replicable social media stats? 

Blogger

Excellent quesation again, Beth, here's what i found works the best in this space, given that we're talking about 2011-2012 - if we go past that -things might change a bit - but this is how it is today

Blogger

So, you have been studying social media metrics for a "long" time.   Obviously a lot of companies are going crazy trying to figure out how to best mine data from social sites for business intelligence purposes. 

 

What do they get right, most often? And wrong?

 

Blogger

As a result, I’ve created my own view
based on personal experiences that I provide to the industry as a
whole and to my readers in particular in the book.

Blogger

And, I’m also close friends with many of the leaders in this

field, many of whom have contributed to this book case studies
and various insights you will encounter in the following pages.
I’m fortunate to be in a position to see the social media metrics
industry in a holistic way. 

Blogger

So you've got the pedigree, absolutely!

 

Blogger

And, furthermore, if I have not been involved in something

personally, I almost always know people who have been, and
I’ve wrung the salt out of their wisdom at conferences, bars, and
tweetups. 

Blogger

Now, many people have read my WebMetricsGuru.com blog

over the past six years and can vouch for the fact that I know
social media, search, and Web analytics quite well. It’s gratifying
that I’m considered by the industry to be a practitioner, a
hands-on analyst, and an expert in the field. I am not a journalist
or conference promoter; what I write about is the very
work I’m involved in and have pondered over deeply for several
years. 

Blogger

Also, Richard Pentin’s “New Framework for

Measuring Social Media Activity”10 defines the four A’s of
social media measurement: awareness, appreciation, action,
and advocacy. Pentin’s paper proposes defining and measuring
core key performance indicators by social media platform,
marrying soft metrics with hard financials.

Blogger

Hey Beth, excellent question:

Based on my experience as a board director at the Web
Analytics Association from 2007 to 2009, where I built the social media committe, I know firsthand
that standards are necessary for the social media analytics field
to mature to the point where it can interoperate with other
business research disciplines. To that end, the UK-based IAB. 
Social Media Council has launched an initiative with a focus
on standards drafting. 

Blogger

I'd like to start with a question by way of background: What motivated you to write Social Media Analytics, and what gives you the authority to do so?

Blogger

Hi Folks, I'm here and let's start now

Blogger

Hi Betsey, great to meet you here

Blogger

Hi Betsey! Hi Noellel!

Blogger

Hi, Betsey Merkel here. I'm a community developer with advanced skills as a Process Designer, Network Strategist and Social Media Knowledge Curator.

Prospector

Hi Guys - here now

 

Blogger

30 minutes until start time

Data Doctor

Testing in Chrome - all set to go, again! Here's where I'll run my chat from. See you guys at 3PM.

Blogger

Testing my connection for 3PM Chat - all set to go!

Blogger

Here's where we'll chat with Marshall Sponder, renowned Web analytics guru and author of the recently published Social Media Analytics: Effective Tools for Building, Interpreting, and Using Metrics

Blogger


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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
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Beth Schultz
Canada Post on Data Delivery

5|12|14   |   02:53   |   (2) comments


James Smith, lead of enterprise data governance for the Canadian postal service, explains how and why the organization has embraced an enterprise data governance program.
Michael Steinhart
Big Data Checks In

4|30|14   |   03:45   |   (5) comments


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.
Beth Schultz
Good Data, Smarter Travel

4|24|14   |   2:50   |   (4) comments


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.
Beth Schultz
Healthcare Data Needs a Booster

4|23|14   |   2:39   |   (0) comments


W. Ed Hammond, Director of the Duke Center for Health Informatics, spoke from the recent 2014 SAS Global Forum Executive Conference about the data management challenges involved in healthcare today.
Beth Schultz
In the Talent Sweet Spot

4|23|14   |   3:25   |   (0) comments


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.
Beth Schultz
A2 on the Road

4|22|14   |   2:28   |   (0) comments


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.
Beth Schultz
T-Mobile Hears Data's Call

4|22|14   |   2:50   |   (0) comments


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.
Beth Schultz
A Is for Analytics in Academia

4|21|14   |   4:11   |   (0) comments


Interviewed live at SAS Global Forum 2014, professors and students agree that access to enterprise analytics software in academic programs better prepares graduates for their careers.
Beth Schultz
Advocating for Analytics Culture

4|21|14   |   5:51   |   (0) comments


Speaking at the recent SAS Global Forum Executive Conference, analytics executives, business experts, and SAS insiders explore what it means to build an analytics culture.
Beth Schultz
Analytic Myths: True or False?

4|21|14   |   4:29   |   (0) comments


At the recent 2014 SAS Global Forum Executive Conference, five analytics experts give us their perspective on whether four common myths about IT and analytics are true or false.
Beth Schultz
We'll Be Your Eyes & Ears

3|20|14   |   2:15   |   (0) comments


We'll be on the scene at SAS Global Forum events in Washington, D.C., March 23 to March 25, glad to share what we learn with our community members.
Beth Schultz
7 Tips for Deploying Visualization

3|7|14   |   33:15   |   (0) comments


We chat with Analise Polsky, a data visualization thought leader on the SAS Best Practices team, about what you need to know before you deploy data visualization.
Michael Steinhart
Choosing a Big-Data Analytics Platform

2|19|14   |   31:53   |   (3) comments


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.

Related posts:

— Michael Steinhart, Circle me on Google+ Follow me on TwitterVisit my LinkedIn pageFriend me on Facebook, Executive Editor, AllAnalytics.com

Michael Steinhart
Keeping a Close Eye on Shoppers

2|13|14   |   02:14   |   (16) comments


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.

Related posts:

— Michael Steinhart, Circle me on Google+ Follow me on TwitterVisit my LinkedIn pageFriend me on Facebook, Executive Editor, AllAnalytics.com

Michael Steinhart
Real-Time Demand Drives Forecasting

2|11|14   |   02:22   |   (1) comment


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.

— Michael Steinhart, Circle me on Google+ Follow me on TwitterVisit my LinkedIn pageFriend me on Facebook, Executive Editor, AllAnalytics.com

Videos
Intro to Visual Analytics

6|5|13   |   1:58   |   (0) comments


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.
Videos
Visual Analytics, Instant Insight

5|16|13   |   2:06   |   (5) comments


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.
Videos
Big Data, Fast Infrastructure

2|14|12   |   3:35   |   (6) comments


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.
Videos
Red Hot Analytics

1|10|12   |   3:51   |   (9) comments


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.
Videos
Hotelier Checks In With Analytics

12|14|11   |   06:55   |   (11) comments


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.