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Our methodology for the Modern BI
A comprehensive view of your organization’s data and use that data to drive change, eliminate inefficiencies and quickly adapt to market or supply changes
Using databases, statistics, and machine learning (ML) to uncover trends in large datasets.
Performance metrics and benchmarking
Comparing current performance data to historical data to track performance against goals, typically using customized dashboards.
Sharing data analysis to stakeholders so they can draw conclusions and make decisions.
Using preliminary data analysis to find out what happened.
Asking the data-specific questions, BI pulling the answers from the data sets.
Taking the results from descriptive analytics and further exploring the data using statistics such as how this trend happened and why.
Turning data analysis into visual representations such as charts, graphs, and histograms to more easily consume data.
Exploring data through visual storytelling to communicate insights on the fly and stay in the flow of analysis.
Compiling multiple data sources, identifying the dimensions and measurements, and preparing them for data analysis.