Use Of Predictive Analytics In Modern Decision Making Data Analytics CD

Slide 1: This slide introduces Use of Predictive Analytics in Modern Decision-Making. State your company name and begin.
Slide 2: This slide states Agenda of the presentation.
Slide 3: This slide shows Table of Content for the presentation.
Slide 4: This is another slide continuing Table of Content for the presentation.
Slide 5: This slide highlights title for topics that are to be covered next in the template.
Slide 6: This slide provides an introduction to predictive analytics aimed at helping businesses analyse data for better decision making.
Slide 7: This slide presents Need of predictive analytics in current business landscape.
Slide 8: This slide displays Benefits of leveraging predictive analytics in business.
Slide 9: This slide represents Applications of predictive analytics in various industries.
Slide 10: This slide showcases Use cases of predictive analytics in businesses.
Slide 11: This slide shows Use cases of predictive analytics in businesses contd..
Slide 12: This slide presents Emerging trends shaping predictive analytics.
Slide 13: This slide highlights title for topics that are to be covered next in the template.
Slide 14: This slide displays Market snapshot of global predictive analytics market.
Slide 15: This slide represents Segmentation of global predictive analytics market.
Slide 16: This slide showcases Growth drivers of global predictive analytics market.
Slide 17: This slide shows Growth restraints of global predictive analytics market.
Slide 18: This slide highlights title for topics that are to be covered next in the template.
Slide 19: This slide presents Brief overview of predictive analytics techniques.
Slide 20: This slide displays Use of predictive analytics in modern decision-making.
Slide 21: This slide represents Working mechanism of decision tree algorithm.
Slide 22: This slide showcases Advantages of implementing decision trees in business.
Slide 23: This slide shows Use cases of decision tree algorithms.
Slide 24: This slide presents Best practices for building decision tree.
Slide 25: This slide outlines a case study highlighting use of decision tree analysis to help a business make decisions of buying a new plant or upgrade the existing one.
Slide 26: This slide displays Use of predictive analytics in modern decision-making.
Slide 27: This slide represents Working mechanism of time series analysis.
Slide 28: This slide showcases Advantages of implementing time series analysis.
Slide 29: This slide shows Phases outlining processing of time series data.
Slide 30: This slide presents Use cases of time series forecasting and analysis.
Slide 31: This slide displays Industrial applications of time series analysis.
Slide 32: This slide represents Best practices to improve time series forecasting.
Slide 33: This slide provides a case study outlining use of time series analysis to detect anomalies in add to cart per session ratio for an ecommerce platform.
Slide 34: This slide showcases Use of predictive analytics in modern decision-making.
Slide 35: This slide shows Types of methods utilized for cluster analysis.
Slide 36: This slide presents Advantages of implementing cluster analysis in business.
Slide 37: This slide displays Requirements for cluster analysis in data mining.
Slide 38: This slide represents Application areas of cluster analysis in business.
Slide 39: This slide showcases Use of predictive analytics in modern decision-making.
Slide 40: This slide provides a description of feedforward neural network aimed at helping businesses understand its usability.
Slide 41: This slide shows Types of neural network : Radial basis function.
Slide 42: This slide presents Types of neural network :Multilayer perceptron.
Slide 43: This slide displays Types of neural network : Radial basis function.
Slide 44: This slide represents Types of neural network : Recurrent neural network.
Slide 45: This slide showcases Types of neural network : Modular neural network.
Slide 46: This slide shows Key components of neural network architecture.
Slide 47: This slide presents Key components of neural network architecture contd..
Slide 48: This slide displays Key benefits of using neural networks.
Slide 49: This slide represents Working mechanism of neural network algorithms.
Slide 50: This slide showcases Key applications of neural networks.
Slide 51: This is another slide continuing Key applications of neural networks.
Slide 52: This slide shows Use of predictive analytics in modern decision-making.
Slide 53: This slide presents Benefits of implementing regression analysis for businesses.
Slide 54: This slide displays Major application areas of regression analysis.
Slide 55: This slide represents Best practices to conduct regression analysis.
Slide 56: This slide showcases Use of predictive analytics in modern decision-making.
Slide 57: This slide shows PADS framework to identify business requirements.
Slide 58: This slide presents Business problems to be solved using predictive analytics solution.
Slide 59: This slide highlights title for topics that are to be covered next in the template.
Slide 60: This slide displays Various data collection techniques for businesses.
Slide 61: This slide represents Best practices to conduct data collection.
Slide 62: This slide showcases Comparative analysis of data extraction tools.
Slide 63: This slide highlights title for topics that are to be covered next in the template.
Slide 64: This slide shows Actions undertaken to improve data quality.
Slide 65: This slide presents Best practices to improve data quality.
Slide 66: This slide displays KPI dashboard to monitor data quality.
Slide 67: This slide highlights title for topics that are to be covered next in the template.
Slide 68: This slide represents Facts highlighting importance of data cleaning.
Slide 69: This slide showcases Flowchart outlining data cleaning approach.
Slide 70: This slide shows Steps to perform data cleaning process.
Slide 71: This slide presents Effective data cleaning techniques for businesses.
Slide 72: This slide displays Effective data cleaning techniques for businesses contd..
Slide 73: This slide represents Best practices to employ for data cleaning.
Slide 74: This slide showcases Comparative analysis of data cleaning tools.
Slide 75: This slide highlights title for topics that are to be covered next in the template.
Slide 76: This slide shows Introduction to exploratory data analysis : Overview and types.
Slide 77: This slide presents Steps to perform exploratory data analysis.
Slide 78: This slide displays Importance of exploratory analysis in data science.
Slide 79: This slide represents Benefits of leveraging exploratory data analysis.
Slide 80: This slide highlights title for topics that are to be covered next in the template.
Slide 81: This slide showcases List of major predictive analytics software tools.
Slide 82: This slide shows Checklist to select predictive analytics solution.
Slide 83: This slide provides an overview of predictive analytics software tool Alteryx with the aim of explaining its usability to businesses.
Slide 84: This slide gives an overview of Alteryx, a predictive analytics software tool, explaining its usability to businesses.
Slide 85: This slide presents Predictive analytics software tool 2 : Azure machine learning.
Slide 86: This slide displays Predictive analytics software tool 2 : Azure machine learning contd..
Slide 87: This slide represents Predictive analytics software tool 3 : RapidMiner Studio.
Slide 88: This slide showcases Predictive analytics software tool 3 : RapidMiner studio.
Slide 89: This slide shows Predictive analytics software tool 4 :H2O Driverless AI.
Slide 90: This slide presents Predictive analytics software tool 5 : AWS sagemaker.
Slide 91: This slide displays Predictive analytics software tool 5 : AWS sagemaker.
Slide 92: This slide represents Comparative analysis of predictive analytics tools.
Slide 93: This slide highlights title for topics that are to be covered next in the template.
Slide 94: This slide showcases Predictive analytics performance evaluation framework.
Slide 95: This slide shows Steps to evaluate predictive dataset models.
Slide 96: This slide presents Types of predictive model evaluation techniques.
Slide 97: This slide displays Model evaluation approaches in machine learning.
Slide 98: This slide highlights title for topics that are to be covered next in the template.
Slide 99: This slide represents Implementation timeline of predictive analytics model.
Slide 100: This slide highlights title for topics that are to be covered next in the template.
Slide 101: This slide showcases Data analytics team roles and responsibilities.
Slide 102: This slide shows Predictive analytics training plan for employees.
Slide 103: This slide highlights title for topics that are to be covered next in the template.
Slide 104: This slide represents Cost assessment of predictive analytics implementation.
Slide 105: This slide highlights title for topics that are to be covered next in the template.
Slide 106: This slide showcases Impact assessment of predictive analytics solutions.
Slide 107: This slide highlights title for topics that are to be covered next in the template.
Slide 108: This slide shows Challenges of implementing predictive analytics in organisations.
Slide 109: This slide presents Recommendations for improving quality of predictive models.
Slide 110: This slide highlights title for topics that are to be covered next in the template.
Slide 111: This slide displays Applications of predictive analytics in healthcare industry.
Slide 112: This slide represents Applications of predictive analytics in finance industry.
Slide 113: This slide showcases Applications of predictive analytics in banking industry.
Slide 114: This slide shows Applications of predictive analytics in marketing industry.
Slide 115: This slide presents Applications of predictive analytics in manufacturing industry.
Slide 116: This slide displays Applications of predictive analytics in retail industry.
Slide 117: This slide represents Applications of predictive analytics in supply chain.
Slide 118: This slide contains all the icons used in this presentation.
Slide 119: This is a Thank You slide with address, contact numbers and email address.