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Data analytics technology roadmap

Data analytics technology roadmap

2026-04-30 0 Report
This template is suitable for outlining the data analysis process. It uses a technical roadmap structure to show the core steps from data acquisition, data processing, analysis and modeling to result output, helping to clearly present the overall path and key links of data analysis.
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Complete raw data acquisitionspan style=\
Results visualizationspan style=\
Distribution visualizationspan style=\
Perform feature encoding and transformationspan style=\
Hypothesis testingspan style=\
Algorithm selectionspan style=\
Unified data format and typespan style=\
Parameter tuning and optimizationspan style=\
Data source accessspan style=\
Data Acquisition
Complete the analysis and build the modelspan style=\
Obtain a dataset that can be used for analysisspan style=\
Correlation analysisspan style=\
Understanding the data overviewspan style=\
Reports and Deploymentspan style=\
Model trainingspan style=\
Exploratory analysisspan style=\
Data explorationspan style=\
Results Output
Ensure data qualityspan style=\
Data processing
Divide the training/test setspan style=\
Feature Constructionspan style=\
Generate deliverable analytical resultsspan style=\
Handling missing and outliersspan style=\
Preparing for modelingspan style=\
Analysis and Modeling
Deriving new features from raw dataspan style=\
Complete the entire process from data to insights to support business decisions.span style=\
Descriptive statisticsspan style=\
Model Evaluationspan style=\
Data analytics technology roadmapspan style=\
Data cleaningspan style=\
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