Statistical Analysis For Data Driven Decision Making Powerpoint Presentation Slides

Slide 1: This slide introduces Statistical Analysis for Data Driven 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 discusses the statistical data analysis and highlights the key tasks performed by the statistical analysis of data for several benefits.
Slide 6: This slide demonstrates the major activities involved in statistical analysis. These are offers insight into complex data, informs the decision-making process etc.
Slide 7: This slide presents the different methods employed to perform statistical analysis of business data, which helps in deriving various patterns.
Slide 8: This slide outlines the statistical and data analysis methods applied in different fields. These domains are spatial models, time series, survival analysis etc.
Slide 9: This slide displays the differences between data analysis and statistical analysis. The comparison is based on several factors such as focus, tools, audience, purpose etc.
Slide 10: This slide shows title for topics that are to be covered next in the template.
Slide 11: This slide highlights the drawbacks of manual analysis process. This slide represent how statistical analysis solves the limitations of manual analysis.
Slide 12: This slide outlines the different applications of statistical analysis in business. The uses of this analysis include research, modelling, pricing decisions etc.
Slide 13: This slide discusses the advantages of statistical analysis for organizations. These benefits are cut operating costs, perform market analysis etc.
Slide 14: This slide shows title for topics that are to be covered next in the template.
Slide 15: This slide illustrate the market size of statistical data analysis from year 2016 to 2023 and showcases how statistical analysis software market experienced an elevation.
Slide 16: This slide depicts the forecast value of statistical analysis software market and highlights the expected contribution of different countries in global market.
Slide 17: This slide shows title for topics that are to be covered next in the template.
Slide 18: This slide outlines the various types of statistical analysis. These are mechanistic analysis, descriptive statistical analysis, inferential statistical analysis etc.
Slide 19: This slide displays various methods of performing statistical analysis and their key focus. The types discussed in this slide are descriptive, inferential etc.
Slide 20: This slide represents the different techniques of descriptive and inferential statistical analysis. These are univariate, bivariate, multivariate etc.
Slide 21: This slide shows title for topics that are to be covered next in the template.
Slide 22: This slide showcases the PPDAC (Problem Plan Data Analysis Conclusion) model of statistical data analysis and briefly explain the five stages of statistical analysis lifecycle.
Slide 23: This slide represents the working process of statistical data analysis. The steps involved in performing statistical analysis are data collection, data cleaning etc.
Slide 24: This slide shows title for topics that are to be covered next in the template.
Slide 25: This slide discusses the study designing phase of statistical data analysis and outlines the statistical tests used in different research designs.
Slide 26: This slide displays the data-gathering phase of the statistical data analysis process and outlines reliable and non-reliable sampling methods.
Slide 27: This slide outline the statistical measures involved in sampling data for analytical processes. These terms are population standard deviation, statistical power etc.
Slide 28: This slide discusses the data description phase of statistical analysis, which includes methods such as scatter plot, bar chart, frequency distribution, etc.
Slide 29: This slide demonstrate the hypothesis testing phase of statistical data analysis. The different steps involved in this phase are hypothesis formulation, analysis plan etc.
Slide 30: This slide represents the data interpretation phase of statistical analysis. The steps involved are compare P-value to significance level, assess probability etc.
Slide 31: This slide shows title for topics that are to be covered next in the template.
Slide 32: This slide represents the training program for performing statistical data analysis. This slide outline the mode, cost, agenda, and schedule for the training programs.
Slide 33: This slide shows the cost breakup of statistical analysis training program for beginners and highlights the estimated cost of various training components.
Slide 34: This slide outlines the different costs involved in conducting statistical data analysis. The cost categories are software and tools, hardware and infrastructure etc.
Slide 35: This slide shows title for topics that are to be covered next in the template.
Slide 36: This slide discusses the overview of Statistical Analysis Plan (SAP). This slide highlight the components of Statistical Analysis Plan, such as endpoints etc.
Slide 37: This slide demonstrates the importance of Statistical Analysis Plan (SAP). The components of this slide are sufficiency of protocol description, complexity demands etc.
Slide 38: This slide outlines the various sections of Statistical Analysis Plan (SAP). The components include document information, sample size calculation etc.
Slide 39: This slide shows title for topics that are to be covered next in the template.
Slide 40: This slide outlines the different software used to perform statistical analysis and represents the primary features and benefits of various statistical software available.
Slide 41: This slide represents the features and cost of various statistical analysis software available in the market.
Slide 42: This slide shows title for topics that are to be covered next in the template.
Slide 43: This slide represents the checklist to conduct statistical data analysis. The fundamental approaches are writing hypothesis and plan research design and more.
Slide 44: This slide shows the timeline for performing statistical data analysis. The key steps include writing hypothesis and plan research design, collect data from a sample etc.
Slide 45: This slide represents 30-60-90 plan to conduct statistical data analysis. This slide illustrate the plans of the first 90 days from the start of the project.
Slide 46: This slide shows the timeline for performing statistical data analysis. The key steps include writing hypothesis and plan research design, collect data from a sample etc.
Slide 47: This slide shows title for topics that are to be covered next in the template.
Slide 48: This slide represents the dashboard to track statistical data analysis process and provides a graphical representation of total sessions, bounce rate, goal completions etc.
Slide 49: This slide presents the dashboard to monitor the data analytics in healthcare department. The key components of this slide are overall patient satisfaction etc.
Slide 50: This slide shows title for topics that are to be covered next in the template.
Slide 51: This slide discuss the limitations of statistical analysis and their possible solutions. The challenges of statistical analytics are data integration and quality etc.
Slide 52: This slide shows title for topics that are to be covered next in the template.
Slide 53: This slide illustrates the business impact of performing statistical analysis. The parameters described in this slide are data-driven decision-making etc.
Slide 54: This slide shows the before vs. after comparison of statistical analysis of business data. The different aspects compared in this slide are decision-making etc.
Slide 55: This slide shows title for topics that are to be covered next in the template.
Slide 56: This slide represents the concise overview of the problem, the proposed solution, and the achieved result for using data analytics in food processing outlet.
Slide 57: This slide displays the concise overview of the problem, the proposed solution, and the achieved result for using data analytics in building material manufacturing company.
Slide 58: This slide represents the concise overview of the problem, the proposed solution, and the achieved result for using data analytics for insurance policy cancellation reduction.
Slide 59: This slide also represents the concise overview of the problem, the proposed solution, and the achieved result for using data analytics to improve visualization for US manufacturers.
Slide 60: This slide displays the concise overview of the problem, the proposed solution, and the achieved result for using data analytics in health record management.
Slide 61: This slide represents the concise overview of the problem, the proposed solution, and the achieved result for end-to-end HR data and analytics management.
Slide 62: This slide shows all the icons included in the presentation.
Slide 63: This slide is titled as Additional Slides for moving forward.
Slide 64: This slide presents Bar Graph with two products comparison.
Slide 65: This is a Timeline slide. Show data related to time intervals here.
Slide 66: This slide depicts Venn diagram with text boxes.
Slide 67: This slide contains Puzzle with related icons and text.
Slide 68: This is Our Goal slide. State your firm's goals here.
Slide 69: This is an Idea Generation slide to state a new idea or highlight information, specifications etc.
Slide 70: This slide presents Roadmap with additional textboxes. It can be used to present different series of events.
Slide 71: This is a Thank You slide with address, contact numbers and email address.