Turning Data Into Revenue Powerpoint Presentation Slides

Slide 1: This slide displays the title Turning Data into Revenue.
Slide 2: This slide displays the title Agenda for Turning Data into Revenue.
Slide 3: This slide exhibit table of content.
Slide 4: This slide exhibit table of content- Analyzing Present Scenario.
Slide 5: This slide provides information about various concerns that are faced by firm due to ineffective handling of data.
Slide 6: This slide provides information about key statistics related to effective utilization of data.
Slide 7: This slide provides information about different growth drivers that enable firms to adopt data monetization procedures.
Slide 8: This slide covers information regarding key constraints associated to monetization of data.
Slide 9: This slide provides information about various benefits in context to monetization of data.
Slide 10: This slide exhibit table of content- Why Data Optimization is Essential.
Slide 11: This slide provides information regarding the importance of Uncovering Data Value.
Slide 12: This slide provides information regarding the data use maturity to determine data deliberator, data adopter and data innovator.
Slide 13: This slide provides information about firm as data innovator and how use of AI assisted systems allows it have advantage in terms of speed, precision.
Slide 14: This slide provides information regarding the trends existing during different stages of data handling in present paradigm to new paradigm (in future).
Slide 15: This slide provides information regarding the how firm can prepare consumer data related to product.
Slide 16: The firm will explore various essential attributes of customer data in terms of demographic data, behavior data, etc.
Slide 17: This slide exhibit table of content- Indirect Method of Data Monetization.
Slide 18: This slide covers details about various ways through which firm can monetize its data in indirect manner to obtain quantifiable economic profit.
Slide 19: Firm will keep the track of the top and worst selling products with the help of consumer data collected.
Slide 20: This slide provides information about Customer Data Providing Insights About Product Pricing.
Slide 21: Firm is taking initiative in altering the price of existing products with the help of critical insights gained by firm.
Slide 22: This slide display Embracing Advanced Data Technologies to Improve Operational Processes.
Slide 23: This slide display Role of Predictive Analytics on Data in Preventing Customer Churn.
Slide 24: This slide showcase Problem Understanding through Machine Learning Process.
Slide 25: This slide display Once the insights are identified, data collection sources are selected for further predictive modeling.
Slide 26: The firm can consider in between two churn prediction model – decision tree and random forest.
Slide 27: This slide showcase Predicting Customer Churn Probability through Predictive Analytics.
Slide 28: This slide display Delighting Customers to Improve Loyalty.
Slide 29: This slide exhibit table of content- Direct Method of Data Monetization.
Slide 30: This slide display Several Ways for Direct Data Monetization.
Slide 31: This slide covers details about capability of firm for direct monetization of data by analyzing it on certain parameters.
Slide 32: This slide exhibit table of content- Determining Data Monetization Revenue System.
Slide 33: This slide covers details about various data monetization methods through which firm can generate revenues.
Slide 34: This slide covers details about analysis of different monetization revenue model and crucial success factors associated to such models.
Slide 35: This slide exhibit table of content- Role of Data Monetization in Various Sectors.
Slide 36: This slide provides details about analyzing the role of data monetizing in healthcare sector.
Slide 37: This slide display Assessing Role of Data Monetising in Financial Sector.
Slide 38: This slide provides details about analyzing the role of data monetizing in technology sector.
Slide 39: This slide display Selecting Suitable Data Analytics Tool.
Slide 40: This slide will help firm in choosing the suitable data analytics tool which is to handle existing bulk of data.
Slide 41: This slide exhibit table of content- Impact Analysis.
Slide 42: This slide covers provides details about calculating quantifiable value due to indirect data monetization.
Slide 43: This slide covers provides details about calculating quantifiable value due to direct data monetization method.
Slide 44: This slide depicts information regarding the impact of organic growth in terms of increase in revenues and market share.
Slide 45: This is the icons slide.
Slide 46: This slide presents title for additional slides.
Slide 47: This slide shows about your company, target audience and its client's values.
Slide 48: This slide exhibit 30 60 90 Days Plan.
Slide 49: This slide display Weekly Timeline with Task Name.
Slide 50: This slide display Roadmap for Process Flow.
Slide 51: This slide display Mind Map.
Slide 52: This slide display Location.
Slide 53: This slide shows puzzle for displaying elements of company.
Slide 54: This slide display Target.
Slide 55: This is thank you slide & contains contact details of company like office address, phone no., etc.