Companies that want to extract the most value from their data need to use all methods of data analysis, not just one or two. This means leveraging both quantitative and qualitative approaches, as well as using both automated and human-powered methods. By using a variety of data analysis techniques, companies can gain a more complete and accurate understanding of their customers, markets, and operations.

However, many companies make the mistake of only using a narrow range of data analysis methods, which can lead to missed opportunities and lost value. For example, a company that only uses quantitative methods such as statistical analysis may miss important insights that are only apparent when looking at data qualitatively. Similarly, a company that only relies on automated methods may miss key patterns and trends that are only apparent when human analysts are involved in the process.

By not thoroughly analyzing their datasets, companies risk losing out on valuable ROI. For example, if a company is only analyzing a small portion of its data, it may miss important insights that could help it to identify new opportunities or improve its operations. Similarly, if a company is only using a limited range of data analysis techniques, it may miss valuable insights that could help it to gain a competitive edge.

There are many strategic business-related benefits to be gained from learning new actionable intelligence through data analysis. For example, companies can use insights from their data to develop new products and services, to enter new markets, or to optimize their operations. By staying up-to-date with the latest trends and developments in their industry, companies can stay ahead of the curve and stay competitive in an increasingly complex and rapidly changing world.

In conclusion, companies that want to extract the most value from their data need to use all methods of data analysis, including both quantitative and qualitative approaches, and both automated and human-powered methods. By thoroughly analyzing their datasets, they can gain a more complete and accurate understanding of their customers, markets, and operations, and use this knowledge to make strategic business decisions that drive growth and success.