NetApp powers Ducati’s MotoGP success through real-time data analysis, enhancing performance, decision-making, and competitive advantage on the track.

Questions, often more valuable than answers, guide the data extraction process, define key performance indicators (KPIs), and determine suitable analysis techniques.

The process involved in data analysis involves several steps: Determine the data requirements or how the data is grouped. Data may be separated by age, demographic , income, or gender.

A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences ...

Data cleaning is a crucial step in the data analysis process. Inaccurate, incomplete, or inconsistent data can lead to flawed insights and poor decision-making. Fortunately, Excel 365’s Power ...

The data analysis process. Setting priorities, goals and targets: Companies that are first starting their data analysis journeys usually begin by asking what problem they are trying to solve.

In the Andes, the rise of agriculture to replace foraging was not the result of hardship and resource scarcity, but instead a ...

Tools for Data Analysis and Reporting. There are a plethora of resources and tools that can assist you in analysing data and reporting findings from your study. Tips for Data Analysis. Working with ...

The end of the earnings season is always a good time to take a step back and see who shined (and who not so much). Let’s take ...

In this article, we share key findings from the 2023 data and their implications for future use of the IDR process. Our analysis, which builds on our earlier discussion of IDR use in the first two ...