Prospective Analysis Powerpoint Presentation Slides

Slide 1: This slide introduces Prospective Analysis. State your company name and begin.
Slide 2: This is an Agenda slide. State your agendas here.
Slide 3: This slide shows Table of Content for the presentation.
Slide 4: This slide also shows Table of Content for the presentation.
Slide 5: This slide shows title for topics that are to be covered next in the template.
Slide 6: This slide represents the predictive analytics introduction.
Slide 7: This slide outlines the overview of the predictive analytics framework and its components.
Slide 8: This slide depicts the overview of predictive analytics models.
Slide 9: This slide shows title for topics that are to be covered next in the template.
Slide 10: This slide depicts the importance of predictive analytics in different industries.
Slide 11: This slide describes the importance of predictive analytics.
Slide 12: This slide shows title for topics that are to be covered next in the template.
Slide 13: This slide depicts the tools used for predictive analytics to perform operations in predictive models.
Slide 14: This slide represents the predictive analytics workflow that is widely used in managing energy loads in electric grids.
Slide 15: This slide presents the steps for predictive analytics workflow application in industries.
Slide 16: This slide shows title for topics that are to be covered next in the template.
Slide 17: This slide presents the difference between the main types of advanced analytics.
Slide 18: This slide shows title for topics that are to be covered next in the template.
Slide 19: This slide describes the overview of the classification model used in predictive analytics.
Slide 20: This slide depicts the decision tree model of predictive analytics that are beneficial for quick decision-making.
Slide 21: This slide represents the random forest technique to implement a classification model.
Slide 22: This slide shows title for topics that are to be covered next in the template.
Slide 23: This slide presents the overview of the clustering model of predictive analytics covering its two methods.
Slide 24: This slide outlines the two primary information clustering methods used in the predictive analytics clustering model.
Slide 25: This slide shows title for topics that are to be covered next in the template.
Slide 26: This slide represents the regression model of predictive analytics that is most commonly used in statistical analysis.
Slide 27: This slide describes the types of the regression model, including its overview, examples, and usage percentage.
Slide 28: This slide shows title for topics that are to be covered next in the template.
Slide 29: This slide depicts the neural networks model of predictive analytics that behave in the same manner as a human brain does.
Slide 30: This slide presents the different types of the neural network model, including their overview, use cases and usage.
Slide 31: This slide shows title for topics that are to be covered next in the template.
Slide 32: This slide outlines the introduction of the forecast model used for predictive analytics.
Slide 33: This slide displays the outliers model used for predictive analytics.
Slide 34: This slide presents the time series model of predictive analytics that makes future outcome predictions by taking time as input.
Slide 35: This slide shows title for topics that are to be covered next in the template.
Slide 36: This slide discusses the steps required to create predictive algorithm models for business processes.
Slide 37: This slide depicts the lifecycle of the predictive analytics model.
Slide 38: This slide presents the working of predictive analytics models that operates iteratively.
Slide 39: This slide represents the development process of predictive analytics that uses recent and past information to predict behavior, actions, and trends.
Slide 40: This slide shows title for topics that are to be covered next in the template.
Slide 41: This slide outlines the application of predictive analytics in the healthcare department.
Slide 42: This slide presents the application of predictive analytics in the finance and banking sector.
Slide 43: This slide describes using predictive analytics in manufacturing forecasting for optimal use of resources.
Slide 44: This slide depicts the usage of predictive analytics technology in the government sector to improve cybersecurity.
Slide 45: This slide presents the application of predictive analytics technology in the retail industry in customer behavior analysis.
Slide 46: This slide outlines the use of predictive analytics in the marketing industry, where active traders develop a new campaign based on customer behavior.
Slide 47: This slide shows title for topics that are to be covered next in the template.
Slide 48: This slide presents the training program for the predictive analytics model.
Slide 49: This slide describes the budget for developing predictive analytics model.
Slide 50: This slide shows title for topics that are to be covered next in the template.
Slide 51: This slide describes the checklist for predictive analytics deployment that is necessary for organizations.
Slide 52: This slide shows title for topics that are to be covered next in the template.
Slide 53: This slide depicts the roadmap for predictive analytics model development.
Slide 54: This slide shows title for topics that are to be covered next in the template.
Slide 55: This slide presents the roadmap for predictive analytics model development.
Slide 56: This slide shows title for topics that are to be covered next in the template.
Slide 57: This slide presents the predictive analytics model performance tracking dashboard.
Slide 58: This slide shows all the icons included in the presentation.
Slide 59: This slide is titled as Additional Slides for moving forward.
Slide 60: This slide describes the usage of predictive analytics in banking and other financial institutions for credit purposes.
Slide 61: This slide represents the application of predictive analytics in underwriting by insurance companies.
Slide 62: This slide displays the application of predictive analytics in fraud detection in various industries.
Slide 63: This slide presents the predictive analytics application in predictive maintenance and monitoring to avoid difficulties later.
Slide 64: This slide describes comparison between predictive analytics and machine learning.
Slide 65: This slide represents how predictive analytics can help the marketing industry find better customer leads.
Slide 66: This slide depicts how predictive analytics help identifies prospects faster in the marketing industry.
Slide 67: This slide describes how predictive analytics can help align sales and marketing better.
Slide 68: This slide outlines how predictive analytics can help understand existing customers' needs as many businesses depend on client retention and upsells.
Slide 69: This slide depicts marketing automation by predictive analytics, and this will reshape the market industry.
Slide 70: This slide outlines the use of predictive analytics for better budget allocation in the marketing industry.
Slide 71: This slide shows Post It Notes for reminders and deadlines. Post your important notes here.
Slide 72: This is Our Goal slide. State your firm's goals here.
Slide 73: This is an Idea Generation slide to state a new idea or highlight information, specifications etc.
Slide 74: This slide shows SWOT analysis describing- Strength, Weakness, Opportunity, and Threat.
Slide 75: This slide presents Roadmap with additional textboxes.
Slide 76: This is a Thank You slide with address, contact numbers and email address.