Enhancing Business Insights Implementing Product Analytics In Organizations Data Analytics CD

Slide 1: This slide introduces Unlocking the Power of Prescriptive Analytics: A Definitive Guide. 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 continues showing Table of Content for the presentation.
Slide 5: This slide shows title for topics that are to be covered next in the template.
Slide 6: This slide provides an introduction to prescriptive analytics aimed at making future decisions using past data on accurate basis.
Slide 7: This slide displays a table comparing four types of analytics such as descriptive diagnostic, predictive and prescriptive analytics.
Slide 8: This slide outlines major arguments explaining requirements of business enterprises to leverage prescriptive analytics aimed at helping the same boost processes.
Slide 9: This slide displays benefits of using prescriptive analytics aimed at helping businesses to meet its long term goals.
Slide 10: This slide outlines business applications of prescriptive analytics aimed at helping them gain competitive advantage using better decision making.
Slide 11: This slide presents industries using prescriptive analytics aimed at improving their performance to achieve long term profitability.
Slide 12: This slide shows title for topics that are to be covered next in the template.
Slide 13: This slide showcase a graphical representation of global prescriptive analytics market. It includes present and forecasted values of prescriptive analytics usage globally.
Slide 14: This slide provides an overview of market segmentation of prescriptive analytics at a global level.
Slide 15: This slide displays major growth drivers expected to fuel the growth of global prescriptive analytics market.
Slide 16: This slide outlines major growth restraints that may hinder increased use of prescriptive analytics to boost sales.
Slide 17: This slide shows title for topics that are to be covered next in the template.
Slide 18: This slide displays a flowchart that illustrates working of prescriptive analytics aimed at helping businesses reach recommended actions via what if scenarios.
Slide 19: This slide outlines list of business goals to be achieved by business using prescriptive analytics tools and techniques.
Slide 20: This slide shows title for topics that are to be covered next in the template.
Slide 21: This slide outlines various data collection methods aimed at helping businesses optimize data driven decision making.
Slide 22: This slide provides an introduction to data integration aimed at helping businesses gather and consolidate data for effective decision making.
Slide 23: This slide presents key steps to conduct data integration aimed at helping businesses combine and collaborate data together.
Slide 24: This slide explains extract, transform, load pipeline aimed at helping businesses collect data and store it into warehouse.
Slide 25: This slide also explains extract, load, transform pipeline aimed at helping businesses collect data and store it into warehouse.
Slide 26: This slide presents data streaming approach for executing data integration aimed at delivering data from source to target destination.
Slide 27: This slide explains data application integration aimed at helping businesses support operational needs.
Slide 28: This slide explains data virtualization aimed at providing businesses with unified data view by combing the same from various platforms.
Slide 29: This slide shows title for topics that are to be covered next in the template.
Slide 30: This slide provides a table comparing major AutoML tools aimed at helping businesses choose the appropriate one to develop prescriptive model.
Slide 31: This slide shows title for topics that are to be covered next in the template.
Slide 32: This slide provides an introduction to heuristics analysis aimed ta helping businesses derive practical solutions to data problems.
Slide 33: This slide outlines key advantages of leveraging heuristic analysis aimed at helping businesses improve decision making.
Slide 34: This slide presents major steps to conduct heuristics analysis aimed at helping businesses conduct evaluation and generate meaningful changes.
Slide 35: This slide shows title for topics that are to be covered next in the template.
Slide 36: This slide provides an introduction to simulation analysis aimed ta helping businesses derive best course of action using real world situations.
Slide 37: This slide outlines key advantages of leveraging simulation analysis aimed at helping businesses objectively predict results of the actions before implementation.
Slide 38: This slide displays phases to simulate data aimed at helping businesses understand and solve complex problems.
Slide 39: This slide explains applications of simulation in the realms of business analytics and decision making by testing various scenarios.
Slide 40: This slide shows title for topics that are to be covered next in the template.
Slide 41: This slide provides an introduction to machine learning aimed ta helping businesses derive patterns and connections in the data.
Slide 42: This slide outlines various statistical facts signifying importance of implementing machine learning algorithms in current business landscape.
Slide 43: This slide displays steps to implement machine learning aimed at improving business operations.
Slide 44: This slide highlights workflow of machine learning aimed ta helping businesses adopt the same and improve operations.
Slide 45: This slide outlines real life applications of machine learning in various industries aimed at tailoring services and promoting trust among consumer.
Slide 46: This slide shows title for topics that are to be covered next in the template.
Slide 47: This slide provides an introduction to artificial intelligence in analytics aimed ta helping businesses derive patterns and connections in the data.
Slide 48: This slide outlines key advantages of leveraging artificial intelligence in analytics aimed at helping businesses objectively predict results.
Slide 49: This slide presents applications of AI in data analysis aimed at helping businesses save time and effort.
Slide 50: This slide shows title for topics that are to be covered next in the template.
Slide 51: This slide provides an introduction to decision tree analysis aimed ta helping businesses improve decision making.
Slide 52: This slide outlines key advantages of leveraging decision tree analysis aimed at identifying correct solutions to any problem.
Slide 53: This slide displays applications of decision tree aimed at helping businesses evaluate prospective growth opportunities.
Slide 54: This slide outlines key steps to develop decision tree aimed at helping businesses derive data insights via effective analysis.
Slide 55: This slide shows title for topics that are to be covered next in the template.
Slide 56: This slide provides an introduction to monte carlo simulation aimed ta helping businesses improve decision making by forecasting outcomes.
Slide 57: This slide outlines key advantages of implementing Monte Carlo simulations aimed at analyzing probable events and assess their likelihood.
Slide 58: This slide provides an illustration highlighting working of monte carlo simulation aimed at analyzing complex processes using random samples.
Slide 59: This slide outlines major applications of Monte Carlo simulations aimed at exploring and optimizing decision making strategies.
Slide 60: This slide shows title for topics that are to be covered next in the template.
Slide 61: This slide provides an introduction to genetic algorithms aimed at stimulating natural selection to find optimal solutions.
Slide 62: This slide outlines key advantages of implementing genetic algorithms aimed at processing large amounts of data effectively.
Slide 63: This slide displays major applications of genetic algorithms aimed at exploring and optimizing decision making strategies.
Slide 64: This slide highlights real life examples of genetic algorithms aimed at understanding its extensive use at a global level.
Slide 65: This slide also highlights real life examples of genetic algorithms aimed at understanding its extensive use at a global level.
Slide 66: This slide shows title for topics that are to be covered next in the template.
Slide 67: This slide provides an overview of software tools used in prescriptive analytics to derive best course of action.
Slide 68: This slide presents an overview of advanced analytic tool Alteryx. It covers details regarding unique selling propositions, customer reviews etc.
Slide 69: This slide displays an overview of advanced analytic tool Alteryx. It covers details regarding unique selling propositions, customer reviews etc.
Slide 70: This slide provides overview of Tableau as a data analytics tools providing data visualization features.
Slide 71: This slide displays overview of Google Looker as a data analytics tool. It covers details of Google Looker regarding description, unique selling proposition etc.
Slide 72: This slide provides overview of KNIME as a prescriptive analytics tool to help businesses evaluate its usability.
Slide 73: This slide presents overview of RapidMiner as a prescriptive analytics tool to help businesses evaluate its usability.
Slide 74: This slide provides overview of Azure Machine Learning as a prescriptive analytics tool to help businesses evaluate its usability.
Slide 75: This slide displays a comparison of software tools used by businesses to conduct prescriptive analytics for various operations.
Slide 76: This slide shows title for topics that are to be covered next in the template.
Slide 77: This slide illustrates a flowchart outlining process of deploying machine learning model of prescriptive analytics in business enterprise.
Slide 78: This slide provides a deployment table of prescriptive model aimed at highlighting movement of models through various phases.
Slide 79: This slide outlines major practices which can be undertaken by businesses for effective model deployment.
Slide 80: This slide shows title for topics that are to be covered next in the template.
Slide 81: This slide provides inventory data collected aimed to help businesses evaluate the current scenario.
Slide 82: This slide displays a gap analysis highlighting current scenario of KPIs related to inventory management of ecommerce business.
Slide 83: This slide provides trends in product demand and supply highlighting errors in inventory management.
Slide 84: This slide displays an illustration highlighting application of predictive analytics aimed at helping businesses forecast sales projections.
Slide 85: This slide explains use of inventory software aimed at helping businesses optimize inventory levels using effective analysis.
Slide 86: This slide outlines analytics strategies aimed at helping businesses optimize inventory ad streamline operations.
Slide 87: This slide provides a dashboard highlighting inventory performance aimed at helping businesses streamline operations.
Slide 88: This slide shows title for topics that are to be covered next in the template.
Slide 89: This slide highlights team roles under analytics department aimed at understanding their functioning to achieve business goals and objectives.
Slide 90: This slide also highlights team roles under analytics department aimed at understanding their functioning to achieve business goals and objectives.
Slide 91: This slide outlines training plan aimed at helping employees learn the basics of prescriptive analytics to streamline its usage in the business enterprises.
Slide 92: This slide shows title for topics that are to be covered next in the template.
Slide 93: This slide provides a table highlighting assessment of various cost heads aimed at effectively implementing prescriptive analytics in a business.
Slide 94: This slide illustrates budget allocation towards prescriptive analytics tools and activities in form of a pie chart aimed at identifying and altering cost arrangements.
Slide 95: This slide shows title for topics that are to be covered next in the template.
Slide 96: This slide showcases graph highlighting impact analysis of prescriptive analytics on businesses via use of major performance indicators.
Slide 97: This slide shows title for topics that are to be covered next in the template.
Slide 98: This slide illustrates a KPI dashboard highlighting application of prescriptive analytics to analyze emergency room visits of a hospital.
Slide 99: This slide also illustrates a KPI dashboard highlighting application of prescriptive analytics to analyze website visits and sales.
Slide 100: This slide shows title for topics that are to be covered next in the template.
Slide 101: This slide outlines various areas where prescriptive analytics may be implemented to improve the working of healthcare sector.
Slide 102: This slide displays various areas where prescriptive analytics may be implemented to improve the working of sales and marketing sector.
Slide 103: This slide outlines various areas where prescriptive analytics may be implemented to improve the working of supply chain.
Slide 104: This slide displays various areas where prescriptive analytics may be implemented to improve the working of manufacturing sector.
Slide 105: This slide outlines various areas where prescriptive analytics may be implemented to improve the working of finance sector.
Slide 106: This slide displays various areas where prescriptive analytics may be implemented to improve the working of ecommerce sector.
Slide 107: This slide shows all the icons included in the presentation.
Slide 108: This is a Thank You slide with address, contact numbers and email address.