Data analysis is the ability to take raw data and turn it into meaningful insights.The demand for this super power is skyrocketing. Data analysts find, collect, capture, inspect, and transform data. They add functions and formulas, and then they merge data sets so that they can further analyze it with pivots, charts and other visualizations.
All data has a purpose and a data analyst seeks methods to achieve that purpose by providing insight and informed decision-making. Learning about data from existing reports can help data analysts get ahead of the learning curve of the data. Data analysts typically start analyzing the reports that are currently used. They monitor the way a business is using data to make their decisions, determine categories, and establish rules.
Data analysis workflow is made up of raw data collection, data cleaning, data interpratation, and data modeling. The model can be used to make reports, describe behavior, predict results, find root causes, and evaluate action impacts.
AI-innovate experts take advantage of data analysis techniques to make the best use of data in various industries including manufactruing, infracstructure, healthcare, and agriculture.