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Second… well there is no second, it is all about the big action and getting a big impact on your bottom-line from your big investment in analytics processes, consulting, people and tools. 12: Almost all reporting is off custom reports. #11: 11: Close to zero aggregated analysis exists, everything's segmented. #10:
It does not matter which report you look at. Really pick any report with any dimension you want to look at, we spend our time (and valuable space on our dashboards) looking at the top ten. Really pick any report with any dimension you want to look at, we spend our time (and valuable space on our dashboards) looking at the top ten.
At any given time I have six or seven interesting tools running on this website. I want to constantly be in the know of new and more clever ways of working with data, tools that are often solutions to problems we don't know we have yet or tools that are sometimes seeking problems to solve!! And that's on purpose.
That’s because we have to talk about tools (so many!), work (collection, processing, reporting, analysis), processes, org structure, governance models, last-mile gaps , metrics ladders of awesomeness , and… so… much… more. Each cell contains a metric (online, offline, nonline ). The Implications of Complexity.
Data analysis is not easy. But there is something fundamentally wrong about this analysis. It artificially inflates the importance of a change in the metric might not be all that important. And if you calibrate your segments optimally you can quickly start doing deep dive analysis looking for some answers.
It took weekends of writing and nights of editing and days of research combined with practicing the preaching by doing oodles of analysis and, more importantly, the support of the most understanding wife in the world. It will be hard for you to find a more compelling four step process to choose the right web analytics tool for your company.
Bonus: Interactive CD: Contains six podcasts, one video, two web analytics metrics definitions documents and five insightful powerpoint presentations. CompetitiveIntelligence (learn from your competitor's success) and Web 2.0. What should you worry about when selecting a web analytics tools? Clicks and outcomes.
For some answers, What is Avinash's typical day like? Hour-by-hour report please. :)? , Identify where your company is currently, what the next optimal step is in the ladder and give it all your attention in terms of data analysis or analytics code fixes. Best Web Metrics / KPIs for a Small, Medium or Large Sized Business.
" How would I start the process of web data analysis right? It turns out, astonishingly, that even with all those barriers (no objectives or goals or cooperation or business guidance), you can spend a couple hours and do decent enough analysis, sourced from your experience, to deliver some minor data-gasms of insights.
" ~ Practical Analysis: "How do I become an Analysis Ninja?" " + Strategic Analysis Articles. Tactical Analysis Articles. Qualitative Analysis: "What's Voice of Customer? " ~ CompetitiveIntelligenceAnalysis: "What can I learn from my others / my industry? "
End of a minor web analytics lesson on going beyond obvious metrics and never, ever, never forgetting context. Log into the Advanced Segmentation tool in your web analytics tool. If your web analytics tool requires you to call the vendor to set up advanced segments, or re-tag your site to get segments, then switch.
For help with identifying opportunities and how to do business analysis please see this post: The Beginner's Guide to Advanced Web Data Analysis. More detail on those techniques, and three more, are in this blog post: Multichannel Analytics: Tracking Offline Conversions. I open GA's keyword report. Paid Search.
A day-to-day manifestation of this love is on my Google+ or Facebook profiles where 75% of my posts are related to my quick analysis and learnings from a visualization. Six stories, a total of eleven different data visualization techniques to inspire you to think different at work when you play with data. Be it looking at 1.1
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