Top 10 Data Analytic Icon PowerPoint Presentation Templates in 2026

This slide highlights the various phases of the big data analytics lifecycle. This slide aims to help the researchers perform appropriate activities to implement proper data analytics. Includes phases such as formulation of the business problem, data collection, data cleaning, data analysis, etc.

• Data Identification
• Data Extraction
• Data Storage

This slide represents the maturity model stages of big data and HR analytics. It further includes various stages such as reactive operational reporting, proactive advanced reporting, strategic analytics, etc.

• reporting
• strategic
• Predictive

This slide showcases use cases of data analytics in fashion industry. It aims to build effective fashion design and manufacturing strategies to allow demand forecasting and supply chain optimization. It includes various elements such as designing and ideation, line planning, etc.

• Line Planning
• Inventory Management

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Our Healthcare Monitoring And Predictive Analytics Icon are topically designed to provide an attractive backdrop to any subject. Use them to look like a presentation pro.

This slide outlines additional AI initiatives taken to conduct post-marketing surveillance. It covers AI reportability monitoring, report generation and trend analysis

• Trend Analysis

The slide emphasizes critical factors, including internal data, tenure, compensation, training, external data, and historical records, demonstrating the data necessary for HR analytics tools. This streamlines HR analysis and decision-making processes.

• Organization Specific
• Passive Employee
• Historical Data
• Sources Includes

This slide shows different areas of healthcare industry, where data analytics can be applied to improve quality of services. It includes research, disease detection, patient documentation and tele health services.

• Drug Discovery
• Disease Prevention
• Diagnosis And Treatment

This slide showcases various features of big data analytics which helps in creating data driven insights and enhance decision making. It provides information regarding data asset management, advanced statisticaland ML algorithms, streaming analytics, data visualization and data discovery.

• Data Asset Management
• Streaming Analytics
• Data Discovery

This slide showcases key focus areas of leveraging data analytics in telecom industry. It provides information regarding network performance, customer churn, fraud detection, customer experience and product development .