![]() ![]() ![]() ![]() Once you have a hypothesis, you can create a strong, measurable strategy and put it to work! The structured criteria of a hypothesis, including data, is your lighthouse while executing the strategy. “Based on X, I believe Y, which will result in Z.” And those hypotheses are just the first step in creating a strong strategy. Opinions can turn into great hypotheses, but only with the right reporting in place. To get the know-how on something more specific, you can read how to report social media ROI as well. When the numbers are available and understood by everyone in the organization and the data supports your strategy, it becomes difficult (or impossible) for anyone to argue with your approach.įor guidance on how to set up your reports correctly, check out the Google Data Studio blog. Take the time to set up reporting and present the relevant data. Without the correct reporting in place, all your team has are instincts and opinions being thrown around, taking you in a million different directions. Actionable analytics and insights remove the subjectiveness in business. To be crystal clear: relevant data reported correctly is indisputable. If your organization wants to make decisions based on facts, having actionable data on-hand empowers you to answer any “why?” questions. But to play that card, you need to first have it in your deck. Relevant, actionable data is your “ace of spades”. Here are 7 reasons why that is important: 1. When you can collect the information then answer those questions, your organization is on its way to reporting relevant data. When reporting insights, your team should be prepared to answer the questions, “Why does that matter?” and “What are we going to do with that information?”. Then, the metrics collected need to actionable. It should indisputably report all pertinent information – positive or negative. First, the data you’re collecting needs to be relevant to your organization’s goals. Basing business decisions on data can be the difference between success or failure - for your entire organization. But, the importance of relevant data spans all departments. Recently, I talked about how Google Data Studio helps marketing solve its biggest challenges - all centered around analytics. ![]()
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