The amount of data that organizations are expected to collect and store these days is staggering. The rise of big data has provided more insights than ever into audience behavior and , but are you really leveraging it properly? Data interpretation could be the key to unlocking the maximum potential of your organization’s data.
Goals of Data Interpretation
Data interpretation isn’t as easy as it sounds. It can be an extremely subjective process, and if the team responsible for its analysis doesn’t know what the end usage of this data will be or what goal the company is trying to achieve, it can be rendered virtually useless.
Big data has little value unless it addresses an organization’s most critical KPIs. The ultimate goal of data interpretation - from choosing what data to collect to determining how best to summarize the results - should be to solve the organization’s problems and prepare them for the future.
The Biggest Benefit of Data Interpretation
When data is translated properly, it’s easier for leaders to understand what it’s suggesting and how it should impact their choices. When the team that collects and analyzes the data knows what questions need to be answered, they can provide major reinforcement for decision makers when they have to make tough calls.