Predictive Modeling IT Powerpoint Presentation Slides

Slide 1: This slide introduces Predictive Modeling (IT). State your company name and begin.
Slide 2: This slide depicts the Agenda of the presentation.
Slide 3: This slide incorporates the Table of contents.
Slide 4: This is another slide continuing Table of Content for the presentation.
Slide 5: This slide highlights the Title for the Topics to be discussed next.
Slide 6: This slide represents the predictive analytics introduction that is used for forecasts action, behaviors, and trends using recent and past information.
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, including the predictive problems they solve.
Slide 9: This slide elucidates the Heading for the Components to be discussed next.
Slide 10: This slide showcases the importance of predictive analytics in different industries.
Slide 11: This slide presents the importance of predictive analytics that covers detecting fraud, improving operations, optimizing marketing campaigns, etc.
Slide 12: This slide displays the Title for the Ideas to be discussed next.
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 states the steps for predictive analytics workflow application in industries.
Slide 16: This slide reveals the Heading for the Ideas to be covered further.
Slide 17: This slide shows the difference between the main types of advanced analytics, and it includes diagnostic, descriptive, predictive, and prescriptive analytics.
Slide 18: This slide incorporates the Title for the Components to be discussed next.
Slide 19: This slide describes the overview of the classification model used in predictive analytics.
Slide 20: This slide exhibits the Decision trees technique for classification model.
Slide 21: This slide represents the random forest technique to implement a classification model that simultaneously works on individual subsets of sample data.
Slide 22: This slide portrays the Heading for the Topics to be covered in the following template.
Slide 23: This slide talks about the Predictive analytics clustering model overview.
Slide 24: This slide outlines the two primary information clustering methods used in the predictive analytics clustering model.
Slide 25: This slide portrays the Title for the Topics to be covered further.
Slide 26: This slide represents the regression model of predictive analytics that is most commonly used in statistical analysis.
Slide 27: This slide showcases the types of the regression model, including its overview, examples, and usage percentage.
Slide 28: This slide reveals the Heading for the Components to be discussed next.
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 indicates the Title for the Ideas to be discussed further.
Slide 32: This slide focuses on the Predictive analytics forecast model introduction.
Slide 33: This slide talks about the outliers model used for predictive analytics, including its use cases, impact and algorithm.
Slide 34: This slide elucidates the Time series model of predictive analytics.
Slide 35: This slide states the Heading for the Components to be covered in the forth-coming 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, and it includes highlighting & formulating a problem, data preparation, etc.
Slide 38: This slide shows 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 contains the Title for the Contents to be discussed next.
Slide 41: This slide outlines the application of predictive analytics in the healthcare department for forecasting the probability of patients having particular medical disorders.
Slide 42: This slide presents the application of predictive analytics in the finance and banking sector as they deal with vast amounts of data.
Slide 43: This slide talks about 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 as they are the main drivers of computer technology growth.
Slide 45: This slide represents the application of predictive analytics technology in the retail industry.
Slide 46: This slide elucidates the use of predictive analytics in the marketing industry, where active traders develop a new campaign based on customer behavior.
Slide 47: This slide presents the Heading for the Ideas to be covered further.
Slide 48: This slide represents the training program for the predictive analytics model, and it includes the name of teams, trainer names, modules to be covered in training, and the schedule and venue of the training.
Slide 49: This slide describes the budget for developing predictive analytics model by covering details of project cost summary, amount, etc.
Slide 50: This slide displays the Title for the Ideas to be discussed in the following template.
Slide 51: This slide talks about the checklist for predictive analytics deployment that is necessary for organizations before deploying it and avoiding possible mistakes.
Slide 52: This slide mentions the Heading for the Topics to be covered in the forth-coming template.
Slide 53: This slide depicts the roadmap for predictive analytics model development, including describing the project, information collection, etc.
Slide 54: This slide indicates the Heading for the Contents to be covered in the forth-coming template.
Slide 55: This slide presents the roadmap for predictive analytics model development, including the steps to be performed in the process, such as highlighting & formulating a problem, data preparation, etc.
Slide 56: This slide portrays the Title for the Topics to be discussed in the next template.
Slide 57: This slide reveals the Predictive analytics model performance tracking dashboard.
Slide 58: This slide contains all the icons used in this 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 represents the application of predictive analytics in fraud detection in various industries.
Slide 63: This slide displays Predictive modeling in predictive maintenance and monitoring.
Slide 64: This slide represents Predictive modeling vs. Machine learning.
Slide 65: This slide showcases Predictive modeling in identifying prospects faster.
Slide 66: This slide shows Predictive modeling in identifying prospects faster.
Slide 67: This slide presents Predictive modeling in align sales and marketing better.
Slide 68: This slide displays Predictive modeling to understand current customers needs.
Slide 69: This slide displays Predictive modeling in marketing automation.
Slide 70: This slide represents Predictive modeling for better budget allocation.
Slide 71: This is About Us slide to show company specifications etc.
Slide 72: This is Our Team slide with names and designation.
Slide 73: This slide provides Clustered Column chart with two products comparison.
Slide 74: This slide shows SWOT describing- Strength, Weakness, Opportunity, and Threat.
Slide 75: This slide provides 30 60 90 Days Plan with text boxes.
Slide 76: This slide contains Puzzle with related icons and text.
Slide 77: This is a Thank You slide with address, contact numbers and email address.