Monday, 30 January 2017

Can You Really Trust Your Web Analytics Reports?


At times, business managers find it hard to understand web analytics reports. More specifically, most executives tend to wonder why one report doesn't seem to match what they're seeing in a different data source. But if you want to gain proper insight from your web analytics reports, you need to properly understand digital metrics. Context Matters When looking at analytics reports, it's easy to think that the tools are designed to capture and report on every single interaction. This is however not the case. Analytics tools are meant to offer insight into overall trends, rather than exhaustive details for every individual. And overall trends are usually affected by minor data variations. This is the level of precision analytics tools are centered around. They're not meant to record individual interactions. Although it's possible to do this, client relationship management tools are more suitable for such levels of tracking. Does this Mean that Web Analytics are Useless? Absolutely not. You should remember that data forms the foundation which could either limit your ability to optimize your business or empower you to drag it to the next level. As such, what really matters is to improve accuracy and precision in the collection of data. So what can you do to make your data more trustworthy and useful? Iterative process: Creating reliable data is an iterative process, and you may not nail the insights you desire on your first attempt. You need to start somewhere and then keep refining your data to the point where it changes from being relevant to essential. Keep looking around your entity to see what could make your web analytics reports even more valuable. Analyze to identify shortcomings: Analyzing your data is crucial in spotting the flaws that affect quality. Close scrutiny allows you to identify issues that you otherwise couldn't spot if you were just scanning dashboards and reports. Accountability: Business teams should be held accountable for their results and also for adhering to internal processes and standards. This is crucial in ensuring digital initiatives are correctly tagged. Improper tracking techniques could impair your firm's ability to manage its performance, and should thus never be tolerated. Analytics data can easily be misused if one isn't very careful. Basically, you need to understand that data isn't inherently flawed; small errors are usually the result of imperfect execution. You should thus adopt an agile approach in the utilization of your analytics reports.

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