Customer Analytics Platform Powerpoint PPT Template Bundles

Slide 1: This slide introduces Customer Analytics Platform. State your company name and begin.
Slide 2: The following slide exhibits the working of cloud data warehouse platform that helps to automate the creation and maintenance of data to ensure effective management of warehouse data. The steps involved are: data collection, data loading, data cleansing, etc.
Slide 3: The below slide highlights the multiple cloud lake layers that integrate to provide a centralized platform for data collection, assessment, and storage in native format. The various layers are: ingestion, distillation, processing, etc.
Slide 4: The below slide illustrates a CDP implementation timeline that helps to get a 360-degree understanding of customers and enhance customer experience by data management. The different phases involved are: discover, design building, etc.
Slide 5: The below slide provides the customer data platform working for banking and financial services that helps to collect, analyze, and provide useful insights for customer data. The multiple phases are: profile evaluation, customer intelligence, etc.
Slide 6: The following slide exhibits the essential components for real-time analytics in CDP that help to collect, normalize, and govern customer data into real-time profile activation. Major components are: streamlined data gathering, profile management, etc.
Slide 7: The below slide showcases the usage of customer data platforms to improve personalized marketing tactics. The various applications provided by CDP are: data unification, aimed messaging, behavioral analytics, etc.
Slide 8: The below slide provides usage of salesforce customer data platform that helps in end-to-end automation with data-driven marketing. The various use cases are: patient data integration, brand reputation management, etc.
Slide 9: The below slide highlights the latest trends in customer data platform development that helps to understand the growth potential of CDPs. Key factors are: leveraging neural networks, real-time analytics, etc.
Slide 10: The following slide represents the maturity model for customer data platforms that helps businesses identify and map their current position in the journey of personalization. The various stages are: client information engagement, customer analytics, etc.
Slide 11: The below slide provides the use of various technologies to prevent cybersecurity attacks in customer data platforms. The different practices implemented are: password authentication, data encryption, etc.
Slide 12: The below slide shows the comparative assessment of cloud data platforms and on-premise data warehouses on multiple parameters. The different factors of analysis are: location, costing, scalability, etc.
Slide 13: The below slide provides a comparative assessment of various cloud data warehousing platforms that analyzes the platforms on various parameters such as: multi-cloud feature, query language used, automation, etc.
Slide 14: This slide highlights the application of AI in customer data platforms that helps to enhance the data collection and assessment operations. The different role performed are: predictive analytics, real-time personalization, etc.
Slide 15: The following slide showcases the customer data activation architecture that helps businesses to optimize customer touchpoints for effective operations. Key components are: decision-making, intelligence, customer sorting, etc.
Slide 16: The following slide provides a cloud data platform architecture that helps to collect, store, and process data from multiple sources to manage customer data for marketing services. The various layers of integration are: ingestion, storage, etc.
Slide 17: The below slide provides a dashboard for customer engagement data using digital analytics that explains the visitors by device, country, etc. The various areas of evaluation are: current visitors, top referring domains, etc.
Slide 18: This slide showcases a framework for customer data collection platform that explains how data is used by marketers to create personalized marketing strategy. Key component are: unify, segment, personalize, and activate.
Slide 19: This slide shows Customer sales data acquiring platform icon.
Slide 20: This slide presents Multiple source customer data acquiring icon.
Slide 21: This slide displays Customer data platform software icon.
Slide 22: This is a Thank You slide with address, contact numbers and email address.