I do agree with you if this post title sounds a little funny to you but I’ll show you that it makes sense.
I’ve post several times about the importance of integrating information, it provides us the total picture of our situation avoiding inferring part of it, which means building better scenarios for most efficient decision making.
Lets use an example the ecommerce site from a computer company. What information this company normally use to understand what is happening with their businesses? Traffic and sales. Both are behavioral metrics which means that tell us what are people doing but not why.
What happen when there is a slow down in sales? Well, even when the available information is not enough for making an efficient decision, people tend to infer the part of the situation that is not answered with the available information.
So when there is an slowdown in sales people will infer that the problem is the promoted product, a non so efficient marketing campaign (paid search, banners, offline, etc) and several other reasons that sounds logic to the person that is analyzing the information (and off course, enough logic to convince the rest of the team).
However making decision in the above mentioned environment is not so healthy, not just because the decision may not solve the slow down in sales, but also because the company may be investing money in the incorrect place increasing the acquisition cost situating the company in worst situation. Lower sales at a higher cost.
Fortunately today we have lot of information sources not only with behavioral information but also with, for example, attitudinal information, which gives lot of relevance to the behavioral information.

So lets see an interesting, and very simple, four lines chart. The lines represent:
1-    Visits (Behavior).
2-    Sales (Behavior).
3-    Buzz (Attitudinal).
4-    Server Performance Monitoring (Environment).
In the X axe we have time (in days) and in the Y1 axe we have Q (quantity) and in the Y2 axe we have percentages (for Buzz and Server Performance).

I also recommend adding information about Events that are relevant to the company and its projects. That is qualitative information that gives relevance to the qualitative information. I called that information “Internal notes”.
In the following example have two situations that require making decisions that are based in the following triggers.
1-    Alert – Drop in sales (9th of January): The marketing manager receive and alert from the Web Analytics tool because sales are down our daily average. The Marketing manager look at the four lines chart and finds out the following.
a.    Visits: No important variation in visits, no further analysis.
b.    Sales: As the alert informed, sales droped in more than 43% so further analysis is required.
c.    Brand Buzz: There is no important change in the brand or product buzz which means that we cannot asign the drop in sales to an attitudinal problem or perception regarding our brand or product.
d.    Server Performance Monitoring: There is a important drop in the server performance right on one of the conversion pages. Some minutes later in the shared notes appear a note from the Technology department notifiying the server issue.
In just 10 minutes of analysis we’ve got the answer and can correct the deviation. Sounds like actionable information, isn’t it?

2-    Alert – Drop in sales (18th of January): The marketing manager receive another alert to his email from the Web Analytics tool, apparently there is a almost 25% drop in sales. Whitout the four lines chart the same manager could try to infer that his company is experiencing the previous experienced server issue. With this model the Marketing manager look at the four lines chart and finds out the following.
a.    Visits: Visits are slighly growing, however nothing very important at this moment (howevery look at the data table and you can see that if the manager waits untill the jump in traffic is higher than normal, its too late for solving the problem).
b.    Sales: Almost 25% drop in sales.
c.    Server performance: Even when the manager look at this metric first based on the previous issue, he easily understands that there is no problem in the performance of the server.
d.    Brand balance: There is a negative variation (higher than the normal fluctuation) in people’s perception about our brand or product. Great! That tell us a lot about the problem. Visits increase as a result of the increase in buzz (when people talks about us, no matter they do it good or bad, our brand is more present in the web), this is because people reads about an issue about our product and inmediatly look at the company’s site in order to colect more information and, off course, to confirm the rumor.

In this example the problem was that our Laptops batteries had a contruction problem that prevent the bateries to charge after four of five charges. An important blogger commented about it and in just three days the information was distribuited all through the internet.

The negative information about our product makes that the higher traffic could not be converted in sales. People visited us to know about the problem, not to buy a deficient laptop.

The company found the problem in 10 minutes of analysis, and converted the information into action focused on return the company to the previous situation.

PR: wait… I: wait… L: wait… LD: wait… I: wait… wait… C: wait… SD: wait…

If you lose more than 30 minutes a day analyzing your site its probably that you are not doing things as good as possibleMost of the people I know carry on the following analyzing process:

1- Login to the Web Analytics tool and I look at the traffic. If it looks similar to yesterday (or the same day from the last week), then we are ok.  If the traffic is higher or lower, then I try to find why.

2- To find the “why” I look at the different reports and (if available) I cross data trying to get some insights. I also download the info to an excel file and keeps working on it there, since excel is more flexible. 3- I get so much information and things get more and more complicated. 4- I have lot of other things to do, so I leave everything as it is (still with no answer). 5- As the last possibility I ask people from other departments if they have any idea about that change in traffic. 6- Based on those answers and some interesting insights I´ve got, I infer the rest and get the answer that makes me feel more satisfied… Required time: 4 / 8 hours…(the rest of the people leave in the step 3).Even when it is true that the best thing we can do is integrating all the information in a main “repository”, allowing to answer all the question in the same place, it is also true that for some companies or persons it is not an option for both technical or time constrains. So what can we do if it is not possible to us a full integration? The simplest solution is having an agenda with al the activities are occurring in our company, not just ours, but from all the departments of functional areas.  Companies are “systems” which mean a groups of things interconnected that work together with a unique mission. So if we modify one particular part of the system, we are also modifying the complete thing, and not just one part. Coming back to the agenda, why it is so important? Because, even when it won’t tell us immediately “why” we have an spike or drop in traffic, it will tell us immediately where can we find the answer. Example, we launch an Adwords campaign and in parallel our website get offline for an hour making that the spike in traffic from the Adwords campaign is counteracted by the offline time.Without an agenda with events or “milestones” the analysis would be: 1- Technology Department: Amazing, the server was down for about an hour but it had no impact to the site traffic. Don´t tell anyone!!!. 2- Marketing Department: The Adwords campaign generated no traffic!!!. 3- CEO: The traffic has no change, we are just great!!!. The event calendar gives the big picture making more efficient the analysis and decision making process.How can I have an event calendar (or agenda) when it is a non supported feature in my Web Analytics tool?The simplest option is having a Google Spreadsheet shared among your team. Simple and useful. You can also add this functionality that will export your Google Analytics report directly to Google Spreadsheet making your analysis even more flexible and simple. I hope you find this tip useful.