Predictive Modeling Methodologies Powerpoint Presentation Slides

Slide 1: This slide introduces Predictive Modeling Methodologies.
Slide 2: This slide shows Agenda for Predictive Modeling Methodologies.
Slide 3: This slide contains Table of contents for Predictive modeling methodologies.
Slide 4: This slide again contains Table of contents for predictive modeling methodologies.
Slide 5: This slide represents the predictive analytics technology introduction.
Slide 6: This slide outlines the overview of the predictive analytics framework and its components.
Slide 7: This slide depicts the overview of predictive analytics models.
Slide 8: This slide displays Table of contents for predictive modeling methodologies further.
Slide 9: This slide illustrates the importance of predictive analytics in different industries.
Slide 10: This slide displays the importance of predictive analytics how businesses use it.
Slide 11: This slide is continuing Table of contents for predictive modeling methodologies.
Slide 12: This slide depicts the tools used for predictive analytics to perform operations in predictive models.
Slide 13: This slide presents the predictive analytics workflow that is widely used in managing energy loads in electric grids.
Slide 14: This slide renders the steps for predictive analytics workflow application in industries.
Slide 15: This slide again contains Table of contents for predictive modeling methodologies
Slide 16: This slide displays the difference between the main types of advanced analytics.
Slide 17: This slide is another continuing with Table of contents for predictive modeling methodologies.
Slide 18: This slide describes the overview of the classification model used in predictive analytics, including the questions it answers.
Slide 19: This slide depicts the decision tree model of predictive analytics that are beneficial for quick decision-making.
Slide 20: This slide represents the random forest technique to implement a classification model.
Slide 21: This slide is another with Table of contents for predictive modeling methodologies.
Slide 22: This slide presents the overview of the clustering model of predictive analytics covering its two methods.
Slide 23: This slide exhibits the two primary information clustering methods used in the predictive analytics clustering model.
Slide 24: This slide is continuation of Table of contents for predictive modeling methodologies
Slide 25: This slide demonstrates the regression model of predictive analytics that is most commonly used in statistical analysis.
Slide 26: This slide shows the types of the regression model, including its overview, examples, and usage percentage.
Slide 27: This slide renders Table of contents for predictive modeling methodologies further.
Slide 28: This slide depicts the neural networks model of predictive analytics that behave in the same manner as a human brain does.
Slide 29: This slide depicts the different types of the neural network model.
Slide 30: This slide is again of Table of contents for predictive modeling methodologies.
Slide 31: This slide outlines the introduction of the forecast model used for predictive analytics.
Slide 32: This slide presents about the outliers model used for predictive analytics, including its use cases, impact and algorithm used in it.
Slide 33: This slide shows about the time series model of predictive analytics that makes future outcome predictions by taking time as input.
Slide 34: This slide again shows Table of contents for predictive modeling methodologies.
Slide 35: This slide discusses the steps required to create predictive algorithm models for business processes.
Slide 36: This slide depicts the lifecycle of the predictive analytics model.
Slide 37: This slide shows the working of predictive analytics models that operates iteratively.
Slide 38: This slide represents the development process of predictive analytics that uses recent and past information.
Slide 39: This slide is another with Table of contents for predictive modeling methodologies.
Slide 40: This slide outlines the application of predictive analytics in the healthcare department.
Slide 41: This slide represents the application of predictive analytics in the finance and banking sector.
Slide 42: This slide displays about using predictive analytics in manufacturing forecasting for optimal use of resources.
Slide 43: This slide depicts the usage of predictive analytics technology in the government sector to improve cybersecurity.
Slide 44: This slide represents the application of predictive analytics technology in the retail industry.
Slide 45: This slide outlines the use of predictive analytics in the marketing industry.
Slide 46: This slide is again of Table of contents for predictive modeling methodologies.
Slide 47: This slide represents the training program for the predictive analytics model.
Slide 48: This slide describes the budget for developing predictive analytics model by covering details of project.
Slide 49: This slides shows Table of contents for predictive modeling methodologies.
Slide 50: This slide contains about the checklist for predictive analytics deployment that is necessary for organizations.
Slide 51: This slide exhibits Table of contents for predictive modeling methodologies.
Slide 52: This slide depicts the roadmap for predictive analytics model development.
Slide 53: This slide represents Table of contents for predictive modeling methodologies.
Slide 54: This slide illustrates the roadmap for predictive analytics model development.
Slide 55: This slide displays Table of contents for predictive modeling methodologies
Slide 56: This slide presents the predictive analytics model performance tracking dashboard.
Slide 57: This slide shows all the icons included in the presentation.
Slide 58: This slide is titled as Additional Slides for moving forward.
Slide 59: This slide describes the usage of predictive analytics in banking and other financial institutions for credit purposes.
Slide 60: This slide represents the application of predictive analytics in underwriting by insurance companies.
Slide 61: This slide shows the application of predictive analytics in fraud detection in various industries.
Slide 62: This slide presents the predictive analytics application in predictive maintenance and monitoring to avoid difficulties later.
Slide 63: This slide exhibits the comparison between predictive analytics and machine learning based on technology used and built on.
Slide 64: This slide displays how predictive analytics can help the marketing industry find better customer leads.
Slide 65: This slide depicts how predictive analytics help identifies prospects faster in the marketing industry.
Slide 66: This slide describes how predictive analytics can help align sales and marketing better.
Slide 67: This slide showcases how predictive analytics can help understand existing customers' needs.
Slide 68: This slide shows marketing automation by predictive analytics, and this will reshape the market industry.
Slide 69: This slide outlines the use of predictive analytics for better budget allocation in the marketing industry.
Slide 70: This slide is About Us slide to show company specifications etc.
Slide 71: This slide is Mission slide with related imagery and text.
Slide 72: This slide depicts Venn diagram with text boxes.
Slide 73: This slide shows Stacked bar linked to excel, and changes automatically based on data.
Slide 74: This slide is an Idea Generation slide to state a new idea or highlight information, specifications etc.
Slide 75: This is a Thank You slide with address, contact numbers and email address.