Final answer:
Data analytics for a balanced scorecard requires a business intelligence tool to ensure precise and accurate measurements, allowing for efficient decision-making and empirical analysis.
Step-by-step explanation:
Data analytics associated with a balanced scorecard (or digital dashboard) should involve the use of a business intelligence tool. When using data analytics in business, accuracy is crucial as it ensures that the measurements and analysis are precise, enhancing the decision-making process. To ensure the high quality of analytics, the data must be subjected to content analysis, where a systematic approach is used to value and record information. Additionally, a business intelligence tool often includes capabilities for measuring correlation among different variables and providing empirical evidence to support findings.
For a practical understanding, a case study could provide an in-depth analysis of how a business intelligence tool positively impacts a company's balanced scorecard approach. It's also important to note that any data analytics should be conducted following a code of ethics to ensure responsible scholarship and the professional handling of data. Various data visualization methods, such as scatter plots, pie charts, bar charts, or histograms, can be applied to convey the findings effectively, depending on whether the data is qualitative or quantitative.