Data analytics is vital for crime and intelligence analysts, involving data collection, cleaning, integration, analysis, and visualization. Techniques include predictive analytics to forecast crime, geospatial analysis to map patterns, network analysis to identify key individuals, and text analysis for trends. Tools like Python, Excel, Gephi, and NVivo are used for practical applications, enhancing the ability to uncover hidden patterns and make informed decisions for public safety and security.