Predictive Analytics For Data Driven Business Decision Making Powerpoint Presentation Slides AI CD

Slide 1: This slide introduces Predictive Analytics for Data-driven Business Decision Making. 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 shows title for topics that are to be covered next in the template.
Slide 5: This slide showcases overview of predictive analytics that can help business in analyzing data for making decisions.
Slide 6: This slide displays steps that can help organization to implement predictive analytics process. Various steps are define project, data collection, analysis, statistics etc.
Slide 7: This slide showcases best practices that can be implemented during predictive analytics process. Its key elements are determine objectives, ethical considerations etc.
Slide 8: This slide displays various solutions that can help to tackle the predictive analytics challenges. Various challenges faced by business are data quality, interpretability etc.
Slide 9: This slide shows title for topics that are to be covered next in the template.
Slide 10: This slide showcases global current size and forecast of global predictive analytics market. Market assessment can help organization to identify the market potential, market dynamics etc.
Slide 11: This slide presents region wise assessment and analysis of predictive analytics market which can help to identify the geographical growth potential.
Slide 12: This slide showcases assessment and analysis of predictive analytics market based on size of the companies. Company wise analysis can help organization identify the market dynamics etc.
Slide 13: This slide displays assessment and analysis of predictive analytics market based end user of the services. It showcases share of users such as automotive, healthcare, life sciences etc.
Slide 14: This slides showcases various key developments of predictive analytics market in past. Latest developments in predictive analytics can help to identify the latest trends and opportunities.
Slide 15: This slide presents drivers that are contributing to the growth of predictive analytics market. Various market growth drivers are increasing data availability, advancement in technology etc.
Slide 16: This slide showcases restraints that are creating hindrance in the growth of predictive analytics market. Various growth restraints mentioned are data quality, data privacy concern etc.
Slide 17: This slide shows title for topics that are to be covered next in the template.
Slide 18: This slide showcases various applications of predictive analytics across various business functions. It highlights use cases across business functions such as sales, marketing etc.
Slide 19: This slide displays various applications of predictive analytics across finance function of business. Various use cases are credit scoring, portfolio management etc.
Slide 20: This slide showcases various applications of predictive analytics technique across market function of business. Various use cases are customer segmentation, content personalization etc.
Slide 21: This slide presents various applications of predictive analytics across sales function of business. Various use cases are lead scoring, cross and upselling business products etc.
Slide 22: This slide showcases various applications of predictive analytics across human resource function of business. Various use cases are succession planning, talent acquisition etc.
Slide 23: This slide displays various applications of predictive analytics across customer service function of business. Various use cases are customer churn prediction etc.
Slide 24: This slide shows title for topics that are to be covered next in the template.
Slide 25: This slide showcases various applications of predictive analytics across supply chain industry. Various use cases are demand forecasting, inventory optimization etc.
Slide 26: This slide presents various applications of predictive analytics across healthcare industry. Various use cases are patient disease prediction, clinical decision support etc.
Slide 27: This slide showcases various applications of predictive analytics across manufacturing industry. Various use cases are quality control, demand forecasting etc.
Slide 28: This slide displays various applications of predictive analytics across retail industry. Various use cases are demand forecasting, inventory optimization etc.
Slide 29: This slide showcases various applications of predictive analytics across ecommerce industry. Various use cases are product recommendations, customer segmentation etc.
Slide 30: This slide presents various applications of predictive analytics across telecommunication industry. Various use cases are network performance optimization, capacity planning etc.
Slide 31: This slide showcases various applications of predictive analytics across education sector. Various use cases mentioned are career pathway planning, course recommendations etc.
Slide 32: This slide displays various applications of predictive analytics across construction sector. Various use cases mentioned are cost estimation plus budgeting, project timeline prediction etc.
Slide 33: This slide showcases various applications of predictive analytics across agriculture sector. Various use cases mentioned are crop yield prediction, disease and pest prediction etc.
Slide 34: This slide presents various applications of predictive analytics across banking industry. Various use cases are credit scoring, fraud detection etc.
Slide 35: This slide showcases various applications of predictive analytics across insurance industry. Various use cases are risk assessment and underwriting, price optimization etc.
Slide 36: This slide shows title for topics that are to be covered next in the template.
Slide 37: This slide showcases visual representation of various predictive analytics models that can help business to make data-driven decisions.
Slide 38: This slide presents decision tree model that can help business to analyze data and make informed decisions. Various parts of decision tree model are decision, chance and end nodes etc.
Slide 39: This slide showcases neural network model that can help business to analyze data and make informed decisions. Various parts of neural network model are input, hidden and output later etc.
Slide 40: This slide presents regression model that can help business to analyze data and make informed decisions. It also highlights types of regression techniques such as linear, stepwise etc.
Slide 41: This slide shows title for topics that are to be covered next in the template.
Slide 42: This slide showcases IBM SPSS tool that can help organization to implement predictive analytics process. It also highlights pricing and key features of tool.
Slide 43: This slide presents RapidMiner tool that can help organization to implement predictive analytics process. It also highlights pricing and key features of tools.
Slide 44: This slide showcases KNIME tool that can help organization to implement predictive analytics process. It also highlights cons and features of this tool which are data integration etc.
Slide 45: This slide presents Alteryx tool that can help organization to implement predictive analytics process.
Slide 46: This slide showcases SAS tool that can help organization to implement predictive analytics process. It also highlights key features of software that are data preparation etc.
Slide 47: This slide displays comparative assessment of various tools that can help business in predictive analytics. It compares tools on the basis of deployment, pricing and more.
Slide 48: This slide shows title for topics that are to be covered next in the template.
Slide 49: This slide showcases predictive analytics case study that helped business to mitigate the credit risk. Key components of case study are challenges faced by business, early warning system etc.
Slide 50: This slide presents predictive analytics case study that helped manufacturing company to reduce unplanned downtime.
Slide 51: This slide shows all the icons included in the presentation.
Slide 52: This slide is titled as Additional Slides for moving forward.
Slide 53: This is Our Team slide with names and designation.
Slide 54: This slide provides 30 60 90 Days Plan with text boxes.
Slide 55: This slide shows Post It Notes for reminders and deadlines. Post your important notes here.
Slide 56: This slide presents Roadmap with additional textboxes. It can be used to present different series of events.
Slide 57: This slide showcases Magnifying Glass to highlight, minute details, information, specifications etc.
Slide 58: This slide contains Puzzle with related icons and text.
Slide 59: This is a Thank You slide with address, contact numbers and email address.