Data Usefulness Guide

Data Usefulness Guide

Collect useful data and generate powerful insights

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More data was created in the last two years than in the previous 5000 years, and yet not all organizations can say they are seeing the benefits of this rampant deluge of data. So where do you start? Learn how to collect useful data and generate powerful insights about your customers’ behavior and product’s performance.
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Data Usefulness Guide gallery image
Launch tags:Design Tools•User Experience•Analytics
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Anima - Vibe Coding for Product Teams
Build websites and apps with AI that understands design.
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Maurício Calcagnotto Garcia
Hunter
Hello everyone, We’re happy to share our Data Usefulness Guide. Based on our experience with large companies, SMBs and startups, this guide describes the methodology we apply to help our clients developing a robust data collection strategy. The guide is divided into 3 mains steps (Data Audit, Data Collection and Data-driven insights) and covers the following topics: STEP 1: DATA AUDIT 1-) Are you collecting data? 2-) What types of data are you collecting? 3-) Is your data coherent? STEP 2: DATA COLLECTION 4-) How can you collect static data? 5-) How can you collect dynamic data? 6-) What infrastructure do you need? 7-) How to analyze the coherence of your data? 8-) How to implement your collection strategy? STEP 3: DATA-DRIVEN INSIGHTS 9-) What types of insights can you generate? 10-) How can you implement recommendation and automation systems? We hope you'll check it out!