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Brent DykesDirector of Industry ConsultingAdobe Systems |
Imagine how successful your favorite sports team would be without a pitcher, goalie, quarterback, or striker. Regardless of whether your sport is baseball, hockey, football, or “futebol,” a sports team has several crucial positions that need to be filled.
The key roles in a Web analytics program are analogous to those on a sports team. Most organizations have the necessary equipment--Web analytics tools--but might find them sitting idle most of the time while one or two people run around the field trying to cover several positions. If you don’t have all of the key positions covered, then it can be difficult to win the game or be successful with Web analytics.
I’ve presented this analogy several times during the past couple of years, and even though I’m a die-hard hockey fan (it’s in my Canadian blood), I’ve primarily used baseball for this analogy. At Omniture’s Tokyo Summit in 2008, I used all-star outfielder Ichiro Suzuki in my slides. For the Salt Lake City Summit last February, I was originally going to use Yankees all-star Alex “A-Rod” Rodriguez. However, when he admitted to using banned substances, I ended up using another player, Dodgers all-star Manny Ramirez . . . who was later suspended for 50 games for using performance-enhancing drugs.
My point in bringing that up is just like in professional sports, there are no shortcuts in building a Web analytics program. That’s probably the last thing you want to hear when budgets are tighter than ever and managers are being forced to “do more with less.” Other than supplementing your program with fully trained and experienced consultants, there’s no magic pill for adding more staff or transforming inexperienced resources into Web analytics experts. However, even in this tough economy some determined companies view the benefits from properly staffing a Web analytics program and training employees on the tools as crucial to their short- and long-term success. Let’s hope one of those companies is not your competitor.
Web Analytics Playing Field
At one of my previous employers, I was part of a motley group of softball players. The company provided us with branded T-shirts and decent equipment, but each week we struggled to get sufficient numbers out to each game. If someone had a last-minute scheduling conflict, got sick, or preferred whatever was on TV that night (pre-DVR era), we were unable to field a complete team and would have to forfeit the game. It can be equally frustrating for participants in a Web analytics program when not all of the positions are being covered and the company is forced to forfeit many of the benefits derived from becoming more data-driven.
At a high level, the following positions are critical to a successful Web analytics program, although the size of your organization could change the need for certain roles, as well as the number of people in each role:
>> Executive sponsor: Senior executive who sets priorities, provides high-level support, resolves internal conflicts, and promotes data-driven decision-making throughout the organization.
>> Web steering committee: Formed by the executive sponsor and contains executives from all Web stakeholders. It is focused on overall Web performance, strategy, and future initiatives.
>> Omniture owner: Manages Omniture relationship and Web analytics program at company. This person is the single point of contact for all Web analytics-related issues for the organization.
>> Core team: Centralized team of Web analysts focused on overall business measurement, reporting, and analysis. They report to the Omniture owner.
>> Business leads: Business managers and analysts at the business-unit level who are responsible for measurement, reporting, and analysis.
>> Technical leads: Web developers who implement SiteCatalyst at the business-unit level.
Two week ago I discussed the importance of having an executive sponsor, who is essentially the general manager for your Web analytics team. As you build your Web analytics team, two key types of players are needed. Web analysts are one key player on the analytics field and frequently fill the roles of Omniture owner, core team member, or business lead. They typically possess the following characteristics:
>> Business-minded with marketing-related background
>> Analytical, inquisitive, and detail-oriented
>> Able to bridge gap between business and IT
>> Strong communication skills
Web analysts translate business requirements into technical specifications. They need to be effective communicators because they work with cross-functional groups, communicate the value of different findings to the organization, and drive optimization efforts throughout the company. A 2006 Forrester research study showed that Web analysts could generate up to a 3,000% ROI on their salary cost.
Similar to famous sports duos, such as Montana/Rice, Stockton/Malone, Gretzky/Kurri, Pele/Garrincha, etc., good technical leads can form a powerful tandem with Web analysts, allowing the analysts to deliver the high ROI identified by Forrester. Technical leads provide the technical know-how to get the right measurement in place and working correctly. They possess the following attributes:
>> Solid understanding of internal Web architecture and systems
>> Coding/Web development expertise (JavaScript)
>> Familiarity with SiteCatalyst deployments
>> Business acumen
Frequently, large companies use a pool of IT staff to service different IT projects. When you have to work with different IT resources for each new Web analytics project, you constantly have to educate new technical resources on Web analytics, and you’re also unable to designate a single point of contact for all future technical issues. For example, you may want to adjust the tagging for a Flash microsite a few weeks after launch, but find out you’re forced to work with a completely different technical resource because the original Web developer has already been assigned to another IT project. It might not make sense to have an IT person fully dedicated to only Web analytics projects, but it is a best practice to use the same resources for Web analytics initiatives.
In my next article, I’ll focus on the training considerations that are required to become more data-driven as an organization. Get ready for training camp.
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