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I was thinking earlier tonight about SeekingAlpha’s illuminating article warning about the Hype over Big Data and just before I’m about to attend GigaOM’s Structure Data, this week . I’m looking forward to hearing the latest news on what the experts on Big Data (and Big Analytics) are forecasting, all while keeping in mind the reality that there aren’t enough Data Scientists who can possibly work on Big Data, with the tools we have in place, today. The Gap is too far apart between the skills needed and what the average analyst can muster up, and certainly, the average user can muster up. This much is certain according to the New York Times . So, what is the answer?
WebMetricsGuru
Data is your most valuable asset. It represents the entire history of your organization and its interactions with customers. Predictive analytics taps this rich vein of experience, mining it to offer something completely different from standard business reporting and sales forecasting: actionable predictions for each customer. If you predict it, you own it. Prediction Impact's predictive analytics services direct and target your CRM strategy.
Predictive Analytics, CRM Analytics, Customer Intelligence, Predictive Analytics, Predictive Modeling
Well it is this time of year that the world and his son comes out and does some predictions on the next couple of years, so I who am I to buck the trend? Admittedly I am going to look stupid when someone comes and has a look at this post in a couple of years time (or will they?), as everyone who ever makes predictions has ever done. Of course, these predictions are likely to be so far fetched that if any of them come true then I'll be masked out as a prophet and if they don't I'll be derided as a charlatan (or more likely, not read at all). Otherwise it'd would be pointless making them.
When can I stop?: 4 Predictions on the Future of the Web and Analytics - a blog by Alec Cochrane
CMO.com offers digital marketing insight for chief marketing officers. It has four major sections, shown on the top navigation bar: News-Headlines about digital marketing news , trends, announcements, marketing analytics, marketing resources, marketing Web sites, blog marketing, and other information about digital marketing and key players in the digital marketing space; Insight--Articles, reports, surveys, statistics, commentary from industry experts, and other digital marketing resources that have a relatively long "shelf life"; Blogs--Select posts about blog marketing from influential bloggers, other CMOs, and industry publications; CMO Perspectives--Interviews with leading CMOs, findings from surveys of marketing executives, and a listing of industry events for CMOs and their staff. Select articles from these sections are shown on the CMO.com home page. Additionally, each section has an "index page" that lists all articles for that section.
Digital Marketing Resources For CMOs (Chief Marketing Officer) | CMO.com
If you have been around marketing and analytics for a while, you know that getting a solid reading of your analytics and optimization is a journey, not a destination. You understand that data is not clean, and 100% accuracy is not attainable. So I think the most we can ask for is to establish processes and educate people on how to keep things under control and still have faith in their data.
Blog – Marketing Optimization and Google Analytics
» Level Analytics – Small Business Web Analytics
A few weeks ago I “sat down” virtually with Greg Hoffman and Cindy Ballard from www.GregHoffmanConsulting.com and did their Affiliate Voices Podcast. In it, we talked about my experiences with affiliate marketing, web analytics, B2B lead gen, brick and mortar web analytics, and a few of my hobbies. Some of those I do for a …L3 Analytics | Blog
Google is clearly investing heavily in Google Analytics right now based on the constant stream of new features (e.g.Multi Channel Funnels, Real-time, Flow Visualisation, etc). However, while new tools are fun to play with, there are still areas where they can enhance their existing tool in ways they will be incredibly valuable to users. The [...]
We are committed to our customers’ site speeds and therefore proud to announce immediate availability of asynchronous code snippet for Visual Website Optimizer (VWO). This new code snippet has been months into development and refinement, and now we are first A/B testing vendor to come up with an asynchronous code snippet and are very excited about it! If you are a Visual Website Optimizer user, we highly recommend you to update your code snippet to new asynchronous one.
I love split testing – Visual Website Optimizer Blog
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Often you will see errors on your website and will have no idea how to track them. Rather than sit and scratch your head, you should actually drill down and learn about how to track these errors. Depending on whether you are using web server log files or page tags for collecting traffic data, there are different methods to capture errors:
Posted by Jason Egan in Social Networking Apr 8th, 2011 | 1 Comment Since there are so many ways now for an Omniture customer to manipulate their data (standard data collection, APIs, processing rules, VISTA rules, marketing channel processing rules, etc…), I thought it’d be helpful to share this graphic (credit to Omniture) of the order with which data is processed: Posted by Jason Egan in Uncategorized Apr 8th, 2011 | 2 Comments First off, I am not privy to the upgrade timeline and what’s involved there in terms of who gets upgraded and when that happens. That being said, I think that it is important for everyone to be aware of both the benefits of upgrading as well as the customer-side factors that might slow down the decision to migrate. I will also preface this with the fact that I am excited for every client that I work with to get upgraded, as the new features and implementation capabilities will greatly increase what they can do with their analytics investment.
Jason Egan > Marketing Measurement | Web Analytics | Site Optimization | Omniture
Posted by Jim Cain on December 5, 2011 There are a lot of terms that get badly abused – to the point where they are annoying to hear. A few personal examples would be the words ‘cloud’, ‘big data’, ‘guru’ and using the label “2.0” for anything other than a software release.