Post by Devoteam

You’re using a BI tool - Power BI, Looker or Amazon QuickSight - does this conversation below seem familiar? 🧑‍💻 𝗬𝗼𝘂: “What is the net margin for our Outdoor product line last month?” 💬 𝗔𝗜: “Net margin for the Outdoor product line last month was 42%.” 🧑‍💻 𝗬𝗼𝘂: … (silence) The answer is correct, but you don’t have any actionable next steps to take. Regardless of which cloud provider’s BI tool your organisation uses, Devoteam advises users apply the DIDA (Data, Insight, Decision, Action) Framework, which enables you to: 1️⃣ Establish boundaries. Define the timeframe, active filters and a peer baseline (e.g. showing how one product line indexes against the company-wide average). 2️⃣ Go deeper than high-level metrics. Identify anomalies, structural drivers or mathematical gaps like Mean vs. Median to reveal what is actually skewing the data. 3️⃣ Translate data variance into a clear commercial trade-off, directing the user toward the exact operational question they should ask next. 4️⃣ Provide actionable business recommendations (such as a specific cross-sell tactic) instead of a generic "monitor the trend" verdict. This framework empowers Data teams to deliver the necessary context to help key business stakeholders make correct and efficient decisions. Read the article written by @Armin Fabritius, for further guidance in the comments section. 👇 #BItool #Data #PowerBI #Looker #AmazonQuickSight