A Comprehensive Guide For Implementing Advanced Analytics Data Analytics CD

Slide 1: This slide showcase title A Comprehensive Guide for Implementing Advanced Analytics. State Your Company Name.
Slide 2: This slide showcase title AGENDA.
Slide 3: This slide exhibit Table of Content.
Slide 4: This slide exhibit Table of Content: Overview of advanced analytics.
Slide 5: This slide provides an introduction to advanced analytics aimed at highlighting its usage and importance in the business world.
Slide 6: This slide outlines benefits of leveraging advanced analytics aimed at helping business improve their operational efficiency.
Slide 7: This slide highlights major types of advanced analytics used by businesses to derive actionable insights for better decision making.
Slide 8: This slide outlines challenges of implementing advanced analytics aimed at helping businesses make wise decisions to save sufficient time and resources.
Slide 9: This slide outlines a comparative analysis of business intelligence with advanced analytics t help businesses make accurate data driven decisions.
Slide 10: This slide covers emerging trends shaping advanced analytics market aimed at finding patterns effectively in data.
Slide 11: This slide exhibit Table of Content: Market snapshot of global advanced analytics market.
Slide 12: This slide showcase a graphical representation global advanced analytics market.
Slide 13: This slide provides an overview of market segmentation of advanced analytics at a global level.
Slide 14: This slide outlines major growth drivers promoting increased use of advanced analytics at a global level to boost business reach.
Slide 15: This slide outlines major growth restraints that may hinder increased use of advanced analytics to boost sales.
Slide 16: This slide exhibit Table of Content: Overview of key advanced analytics techniques.
Slide 17: This slide provides an overview of advanced analytics techniques aimed at identifying crucial patterns in data to make decisions.
Slide 18: This slide provides an overview of advanced analytics techniques aimed at identifying crucial patterns in data to make decisions.
Slide 19: This slide exhibit Table of Content: Data mining.
Slide 20: This slide provides an introduction to data mining technique aimed at analysing large amounts of data to detect patterns.
Slide 21: This slide highlights major benefits of leveraging data mining techniques for businesses aimed at improving their profitability.
Slide 22: This slide outlines phases to implement data mining aimed at helping data scientists and analysis to conduct project.
Slide 23: This slide outlines types of data mining techniques aimed at identifying patterns and deriving informative insights.
Slide 24: This slide outlines real life applications of data mining in various industries aimed at tailoring services and promoting trust among consumer.
Slide 25: This slide outlines challenges faced by businesses in data mining aimed at warning businesses against potential negative consequences.
Slide 26: This slide outlines emerging trends shaping data mining aimed at helping businesses enhance their business operations.
Slide 27: This slide exhibit Table of Content: Sentiment analysis.
Slide 28: This slide provides an introduction to sentiment analysis aimed at generating qualitative insights such as customer emotions from surveys, posts, reviews, etc.
Slide 29: This slide highlights major benefits of leveraging sentiment analysis for businesses aimed at improving their profitability.
Slide 30: This slide outlines steps to conduct sentiment analysis aimed at analysing consumer behaviour using their emotions.
Slide 31: This slide outlines types sentiment analysis techniques aimed at helping businesses manage and maintain their customer base.
Slide 32: This slide provides key methods to utilize sentiment analysis aimed at helping businesses derive rich and accurate insights via data analysis.
Slide 33: This slide outlines applications of sentiment analysis aimed at helping businesses use the same to deliver useful results.
Slide 34: This slide provides solutions to major challenges faced by businesses while implementing sentiment analysis to make consumer oriented decisions.
Slide 35: This slide exhibit Table of Content: Cluster analysis.
Slide 36: This slide provides an introduction to cluster analysis aimed at grouping haphazard data into organized groups.
Slide 37: This slide provides types of cluster analysis aimed at defining similarities between data objects.
Slide 38: This slide provides types of cluster analysis aimed at defining similarities between data objects.
Slide 39: This slide highlights major benefits of leveraging cluster analysis for businesses aimed at improving their profitability.
Slide 40: This slide provides applications of cluster analysis in various businesses aimed at grouping data having similar characteristics.
Slide 41: This slide provides applications of cluster analysis in various businesses aimed at grouping data having similar characteristics.
Slide 42: This slide exhibit Table of Content: Complex event processing.
Slide 43: This slide provides an introduction to complex event processing aimed at refining data received from events for usability.
Slide 44: This slide provides applications of complex event processing in various areas aimed at identifying specific patterns in data streams.
Slide 45: This slide exhibit Table of Content: Retention analysis.
Slide 46: This slide provides an introduction to retention analysis aimed at managing customer churn rate using various methods.
Slide 47: This slide provides phases to conduct retention analysis aimed at helping businesses improve churn rate.
Slide 48: This slide outlines methods to improve customer retention aimed at helping businesses develop social proof and reduce churn rates.
Slide 49: This slide outlines methods to improve customer retention aimed at helping businesses develop social proof and reduce churn rates.
Slide 50: This slide exhibit Table of Content: Big data analytics.
Slide 51: This slide provides an introduction to big data analytics aimed at helping businesses improve their performance.
Slide 52: This slide provides types of big data analytics aimed at helping businesses make supportive and informative decisions.
Slide 53: This slide highlights major benefits of big data analytics for businesses aimed at improving their profitability.
Slide 54: This slide provides procedures followed aimed at helping businesses analyse big datasets to develop and produce better products.
Slide 55: This slide provides real life use cases of cluster analysis in various businesses to collect, process and analyse information.
Slide 56: This slide outlines potential trends shaping the future of big data analytics to help businesses make informed decisions.
Slide 57: This slide exhibit Table of Content: Cohort analysis.
Slide 58: This slide provides an introduction to cohort analysis aimed at helping businesses derive actionable insights.
Slide 59: This slide outlines steps to perform cohort analysis for helping organizations target user requirements and strategize products or services.
Slide 60: This slide highlights major benefits of cohort analysis for businesses aimed at improving their user experience.
Slide 61: This slide consists optimization methods aimed at improving brand performance using insightful information and actionable devices.
Slide 62: This slide covers application of cohort analysis in ecommerce aimed at understanding impact of changes made to marketing campaigns towards metrics.
Slide 63: This slide illustrates a dashboard for analysing customer cohort performance aimed at reviewing marketing and sales activities for customer retention.
Slide 64: This slide illustrates cohort analysis for revenue retention aimed at effectively assessing sustainability of business revenue growth.
Slide 65: This slide exhibit Table of Content: Steps to implement advanced analytics in organizations.
Slide 66: This slide provides list of major goals aimed at helping businesses aligning effective data driven strategies.
Slide 67: This slide outlines list of major metrics aimed at helping businesses analyse activities regarding implementation.
Slide 68: This slide provides a comprehensive checklist aimed at helping businesses analyse website structure effectively.
Slide 69: This slide provides a tracking plan aimed at helping business monitor customer engagement with website page.
Slide 70: This slide exhibit Table of Content: Step 4: Choose the right analytics platform.
Slide 71: This slide provides an overview of advanced analytic tool Countly.
Slide 72: This slide provides an overview of advanced analytic tool Apache Superset.
Slide 73: This slide provides an overview of advanced analytic tool Great Expectations.
Slide 74: This slide provides an overview of advanced analytic tool Alteryx.
Slide 75: This slide provides an overview of advanced analytic tool Alteryx.
Slide 76: This slide provides an overview of advanced analytic tool Databricks.
Slide 77: This slide provides an overview of advanced analytic tool Domino.AI.
Slide 78: This slide illustrates a weekly timeline of activities undertaken while implementing advanced analytics platform in businesses to streamline operations.
Slide 79: This slide illustrates a dashboard tracking customer experience on website page to make necessary improvements.
Slide 80: This slide exhibit Table of Content: Team roles and responsibilities
Slide 81: This slide highlights team roles under analytics department aimed at understanding their functioning to achieve business goals and objectives.
Slide 82: This slide highlights team roles under analytics department aimed at understanding their functioning to achieve banking goals and objectives.
Slide 83: This slide outlines training plan aimed at helping employees learn the basics of advanced analytics to streamline its usage in the business enterprises.
Slide 84: This slide exhibit Table of Content: Cost assessment of implementing advanced analytics.
Slide 85: This slide illustrates budget allocation towards advanced analytics tools and activities in form of a pie chart aimed at identifying and altering cost arrangements.
Slide 86: This slide exhibit Table of Content: Impact analysis
Slide 87: This slide showcases impact analysis of above mentioned advanced analytics strategies on businesses via use of major performance indicators.
Slide 88: This slide showcases graph highlighting impact analysis of advanced analytics on businesses via use of major performance indicators.
Slide 89: This slide exhibit Table of Content: Use cases
Slide 90: This slide represents use case analysis of UberEats utilizing big data analytics to boost business profitability.
Slide 91: This slide represents use case analysis of McDonald’s utilizing big data analytics to boost operations efficiently.
Slide 92: This slide represents use case analysis United Overseas Bank Singapore utilizing analytics to boost operations efficiently.
Slide 93: This slide shows all the icons included in the presentation.
Slide 94: This is a Thank You slide with address, contact numbers and email address.