The final results of a data scientist’s analysis must be easy enough for all invested stakeholders to understand — especially those working outside of IT. A data scientist’s approach to data ...

Learn More Data analytics is defined as the capability to apply quantitative analysis and technologies to data to find trends and solve problems. As volumes of data grow exponentially ...

SEE: Data Governance Checklist (TechRepublic Premium) While moving through the various steps in the analysis process, data scientists can use the following techniques: The primary goal of machine ...

Can you please explain the final What-If Analysis tool: Data Table? A. Microsoft Excel’s What-If Analysis is a powerful feature that allows you to explore various scenarios and outcomes by modifying ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis ...

Customer data comes from a variety of sources ... Careful collection and analysis leads to a more complete picture. “I think most companies have a natural reaction to attach themselves ...

Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. Research firm Gartner ...

On-chain analysis refers to the method of using information from a blockchain ledger to determine market sentiment. More specifically, it involves looking at transaction data and crypto wallet ...