Sort your collected information according to themes, issues or questions that form the basis of your study. Use tools like dashboards or data visualization software to highlight trends and insights. Exclude all unnecessary details concentrating on measures that can be acted upon. For instance, when profiling users, segment its data according to the stages in the customer journey map. In one project, focusing solely on conversion metrics will make the analysis and decision merely straightforward. Don’t allow too many data sources to creep into the organization without careful consideration and refresher reviews on what is currently valuable in delivering clarity.

With data coming from all directions, staying organized is key to managing the overload. -Set Clear Objectives: Define what you need to find out, so you can focus only on the relevant data. -Use Data Management Tools: Leverage tools like Excel or specialized software to efficiently sort and analyze your data.

'Simplicity is the ultimate sophistication' - Leonardo da Vinci. Managing data overload from various tech sources requires strategic organization and prioritization to funnel it into a signal source of truth. Start by setting clear objectives to focus on the most relevant information that aligns with your research goals. Leverage data management tools to efficiently sort, filter, and analyze data. Regularly review and clean up data sets, removing outdated or irrelevant information to maintain clarity and prevent unnecessary complexity. Ultimately I subscribe the to minimalist approach and try to have few data streams to get the big picture. Combining these practices can ensure a streamlined and effective approach to handling extensive data.

Stay agile: Regularly update your data collection methods to reflect current conditions. Diversify your sources: Use multiple data sources to get a well-rounded view.