Salesforce Certified CRM Analytics and Einstein Discovery Consultant Exam Preparation

Tools and Code Analysis in the context of Salesforce CRM Analytics and Einstein Discovery involves understanding and utilizing various tools for data preparation, analysis, and visualization. This includes working with dataflows, recipes, and lenses to transform and explore data. Code analysis specifically relates to SAQL (Salesforce Analytics Query Language) and its application in creating custom queries and calculations. Candidates should be familiar with debugging tools, performance optimization techniques, and best practices for writing efficient SAQL queries. Additionally, understanding how to use Einstein Discovery's automated machine learning capabilities and interpret its outputs is crucial for this topic.

This topic is fundamental to the Salesforce Certified CRM Analytics and Einstein Discovery Consultant exam as it directly relates to the core functionalities of these platforms. Proficiency in using tools and analyzing code is essential for consultants to effectively design, implement, and troubleshoot CRM Analytics and Einstein Discovery solutions. It ties into broader exam themes such as data management, dashboard creation, and predictive analytics, making it a critical area of focus for exam preparation.

Candidates can expect a variety of question types on this topic, including:

• Multiple-choice questions testing knowledge of specific tool functionalities and SAQL syntax
• Scenario-based questions requiring candidates to identify the most appropriate tool or code solution for a given business requirement
• Code snippet analysis questions where candidates must identify errors or suggest optimizations
• Questions on interpreting Einstein Discovery outputs and recommending actions based on the analysis

The depth of knowledge required will range from basic recall of tool features to advanced problem-solving scenarios that test the candidate's ability to apply their understanding in complex, real-world situations. Candidates should be prepared to demonstrate both theoretical knowledge and practical application skills in this area.

Execution in the context of the Salesforce Certified CRM Analytics and Einstein Discovery Consultant exam refers to the process of implementing and running analytics solutions within the Salesforce ecosystem. This includes setting up and configuring CRM Analytics (formerly known as Einstein Analytics) dashboards, datasets, and applications, as well as deploying Einstein Discovery models. Key aspects of execution involve data preparation, creating and customizing visualizations, setting up security and sharing rules, and integrating analytics solutions with other Salesforce features. Consultants must understand how to optimize performance, troubleshoot issues, and ensure that the analytics solutions meet business requirements and deliver actionable insights.

This topic is crucial to the overall exam as it represents the practical application of CRM Analytics and Einstein Discovery concepts. It tests the candidate's ability to translate business requirements into functional analytics solutions. Understanding execution is essential for consultants to effectively implement and manage analytics projects, making it a core component of the certification. The topic aligns with several key areas in the exam outline, including Analytics Application Design, Data Management, and Security and Sharing.

Candidates can expect a variety of question types related to execution on the exam:

• Multiple-choice questions testing knowledge of specific steps in setting up CRM Analytics applications or Einstein Discovery models
• Scenario-based questions that require candidates to identify the best approach for implementing a particular analytics solution based on given business requirements
• Questions about troubleshooting common issues encountered during the execution of analytics projects
• Questions on best practices for optimizing performance and ensuring data accuracy in CRM Analytics and Einstein Discovery implementations
• Questions related to security considerations and sharing rules when executing analytics solutions

The depth of knowledge required will range from recall of specific features and functionalities to application of concepts in complex business scenarios. Candidates should be prepared to demonstrate their understanding of the entire execution process, from initial setup to ongoing management and optimization of analytics solutions.

Configuring Cluster Networking and Network Security in the context of Salesforce CRM Analytics and Einstein Discovery involves setting up secure and efficient communication channels between different components of the analytics platform. This includes configuring network settings for data sources, ensuring proper connectivity between Salesforce and external systems, and implementing security measures to protect sensitive data. Key aspects include setting up firewalls, configuring VPNs for secure data transfer, managing IP restrictions, and implementing encryption protocols. Additionally, it involves understanding and configuring network settings specific to Salesforce CRM Analytics, such as trusted IP ranges, network access controls, and data integration configurations.

This topic is crucial to the Salesforce Certified CRM Analytics and Einstein Discovery Consultant exam as it relates directly to the implementation and security aspects of the platform. Understanding how to configure and secure network connections is essential for ensuring data integrity, maintaining compliance with security standards, and optimizing performance of CRM Analytics and Einstein Discovery. It falls under the broader categories of implementation strategies and security considerations, which are key focus areas in the certification exam.

Candidates can expect the following types of questions on this topic in the exam:

• Multiple-choice questions testing knowledge of specific network configuration settings in Salesforce CRM Analytics
• Scenario-based questions where candidates must identify the appropriate network security measures for a given use case
• Questions on troubleshooting network connectivity issues between Salesforce and external data sources
• Multiple-choice questions on best practices for securing data transfers in CRM Analytics implementations
• Questions requiring candidates to demonstrate understanding of how network configurations impact data integration and analysis processes

The depth of knowledge required will range from basic understanding of networking concepts to more advanced application of these concepts in real-world Salesforce CRM Analytics scenarios. Candidates should be prepared to not only recall information but also apply their knowledge to solve complex networking and security challenges.

I apologize, but there seems to be a mismatch between the exam name provided (Salesforce Certified CRM Analytics and Einstein Discovery Consultant) and the topic (Deploy and Configure Firewalls Using Panorama). The topic appears to be related to network security and firewall configuration, which is not typically associated with Salesforce CRM Analytics or Einstein Discovery.

For the Salesforce Certified CRM Analytics and Einstein Discovery Consultant exam, topics would typically include data preparation, dashboard creation, data analysis, and Einstein Discovery implementation. The exam focuses on using Salesforce's analytics tools to derive insights from data and create actionable predictions.

Given this discrepancy, I'm unable to provide an accurate explanation of the topic in the context of the specified exam. If you'd like information on a specific topic related to Salesforce CRM Analytics and Einstein Discovery, please provide a relevant topic, and I'd be happy to assist you with that.

Integrations in the context of Salesforce CRM Analytics and Einstein Discovery involve connecting various data sources and systems to create a comprehensive analytics environment. This includes integrating data from external sources, such as databases, cloud storage, or third-party applications, as well as internal Salesforce data. Key aspects of integrations include data connectors, ETL (Extract, Transform, Load) processes, and real-time data synchronization. Consultants must understand how to set up and manage these integrations, ensuring data accuracy, security, and compliance with organizational policies. Additionally, they should be familiar with Salesforce's native integration capabilities, such as Salesforce Connect and the Analytics External Data API, as well as third-party integration tools that can enhance CRM Analytics and Einstein Discovery functionality.

Integrations are a crucial component of the Salesforce Certified CRM Analytics and Einstein Discovery Consultant exam as they form the foundation for effective data analysis and insights. This topic relates directly to the "Data Management" and "Application Lifecycle Management" sections of the exam outline. Understanding integrations is essential for consultants to design and implement robust analytics solutions that leverage data from multiple sources. It also ties into other exam topics such as data security, data modeling, and dashboard design, as the quality and availability of integrated data directly impact these areas.

Candidates can expect the following types of questions regarding integrations on the exam:

• Multiple-choice questions testing knowledge of various integration methods and their appropriate use cases
• Scenario-based questions asking candidates to identify the best integration approach for a given business requirement
• Questions on troubleshooting common integration issues and optimizing performance
• Questions about data security and governance considerations when integrating external data sources
• Multiple-choice or true/false questions on the capabilities and limitations of specific Salesforce integration tools

The depth of knowledge required will range from basic understanding of integration concepts to more advanced topics such as designing complex integration architectures and optimizing data flows for large-scale analytics implementations.

Retail Sales in the context of CRM Analytics and Einstein Discovery involves analyzing and optimizing sales performance in retail environments. This topic covers various aspects such as sales forecasting, inventory management, customer segmentation, and personalized marketing strategies. CRM Analytics tools can be used to process and visualize large volumes of retail sales data, identifying trends, patterns, and opportunities for improvement. Einstein Discovery can be leveraged to generate predictive insights and recommendations to drive sales growth, optimize pricing strategies, and enhance customer experiences in retail settings.

This topic is crucial to the Salesforce Certified CRM Analytics and Einstein Discovery Consultant exam as it demonstrates the practical application of these technologies in a specific industry vertical. Understanding how to apply CRM Analytics and Einstein Discovery to retail sales scenarios showcases a consultant's ability to translate data insights into actionable business strategies. It aligns with the exam's focus on data analysis, predictive modeling, and business intelligence applications within Salesforce's ecosystem.

Candidates can expect the following types of questions related to Retail Sales on the exam:

• Multiple-choice questions testing knowledge of key retail sales metrics and KPIs that can be analyzed using CRM Analytics
• Scenario-based questions presenting a retail sales challenge and asking candidates to identify the most appropriate CRM Analytics or Einstein Discovery solution
• Questions on how to configure dashboards and reports in CRM Analytics to track and visualize retail sales performance
• Case study-style questions requiring candidates to interpret Einstein Discovery predictions and recommendations in a retail sales context
• Questions on best practices for implementing CRM Analytics and Einstein Discovery solutions to address common retail sales challenges

The depth of knowledge required will range from understanding basic retail sales concepts to demonstrating the ability to apply advanced analytics and AI-driven insights to complex retail scenarios. Candidates should be prepared to showcase their understanding of how CRM Analytics and Einstein Discovery can drive data-informed decision-making in retail sales environments.

ZT Implementation, or Zero Trust Implementation, is a security model that assumes no trust by default, even within an organization's network. In the context of Salesforce CRM Analytics and Einstein Discovery, ZT Implementation involves ensuring that data access and sharing are strictly controlled and monitored. This includes implementing robust authentication mechanisms, enforcing least privilege access, and continuously verifying user identities and device security. Key aspects of ZT Implementation in CRM Analytics include data encryption, role-based access control, and detailed audit logging to track all data interactions.

This topic is crucial to the Salesforce Certified CRM Analytics and Einstein Discovery Consultant exam as it directly relates to data security and governance, which are fundamental aspects of managing analytics platforms. Understanding ZT Implementation is essential for consultants to design and implement secure CRM Analytics solutions that protect sensitive business data while enabling appropriate access for authorized users. It aligns with the exam's focus on security best practices and data management strategies within the Salesforce ecosystem.

Candidates can expect the following types of questions regarding ZT Implementation on the exam:

• Multiple-choice questions testing knowledge of ZT principles and how they apply to CRM Analytics security.
• Scenario-based questions where candidates must identify the correct security measures to implement in a given situation.
• Questions about specific Salesforce features that support ZT Implementation, such as Shield Platform Encryption or Event Monitoring.
• Practical questions on configuring access controls and security settings within CRM Analytics.
• Questions that require understanding the balance between security and usability in analytics implementations.

The depth of knowledge required will range from basic understanding of ZT concepts to practical application in complex enterprise scenarios. Candidates should be prepared to demonstrate their ability to apply ZT principles in real-world CRM Analytics implementations.

Implementation Strategies for Salesforce CRM Analytics and Einstein Discovery involve planning and executing the deployment of these powerful tools within an organization. This includes assessing business requirements, designing data models, creating dashboards and stories, and integrating with existing Salesforce systems. Key aspects of implementation strategies include data preparation and integration, security and sharing setup, user adoption planning, and performance optimization. Consultants must also consider change management processes, training programs, and governance frameworks to ensure successful adoption and long-term value realization from CRM Analytics and Einstein Discovery.

This topic is crucial to the Salesforce Certified CRM Analytics and Einstein Discovery Consultant exam as it tests a candidate's ability to design and implement effective solutions using these tools. Understanding implementation strategies is fundamental to the role of a consultant, as it encompasses many aspects of the CRM Analytics and Einstein Discovery lifecycle. This knowledge area ties together various other exam topics, such as data management, security, and user experience, making it a cornerstone of the certification.

Candidates can expect a variety of question types on Implementation Strategies in the exam:

• Multiple-choice questions testing knowledge of best practices for implementation planning and execution
• Scenario-based questions asking candidates to identify the most appropriate implementation approach for a given business situation
• Questions on change management and user adoption strategies specific to CRM Analytics and Einstein Discovery
• Problem-solving questions related to common implementation challenges and how to overcome them
• Questions on governance models and how to establish them for CRM Analytics and Einstein Discovery implementations

The depth of knowledge required will range from recall of specific implementation steps to analysis and application of concepts in complex business scenarios. Candidates should be prepared to demonstrate their understanding of the entire implementation process, from initial planning to post-deployment optimization.

Triggered Campaigns in Salesforce CRM Analytics and Einstein Discovery are automated marketing initiatives that are set in motion based on specific customer behaviors or events. These campaigns leverage real-time data and predictive analytics to deliver personalized, timely, and relevant communications to customers. Triggered campaigns can be based on various factors such as customer actions (e.g., website visits, product purchases), lifecycle stages, or predictive scores generated by Einstein Discovery. They allow organizations to respond promptly to customer needs, increase engagement, and drive conversions by delivering the right message at the right time through the most appropriate channel.

This topic is crucial for the Salesforce Certified CRM Analytics and Einstein Discovery Consultant exam as it demonstrates the practical application of analytics and AI in marketing automation. It showcases how CRM Analytics and Einstein Discovery insights can be operationalized to drive business outcomes. Understanding triggered campaigns is essential for consultants to effectively design and implement data-driven marketing strategies that leverage the full potential of Salesforce's analytics and AI capabilities.

Candidates can expect the following types of questions on this topic in the exam:

• Multiple-choice questions testing knowledge of triggered campaign components and setup processes
• Scenario-based questions asking candidates to identify the most appropriate triggered campaign strategy for a given business situation
• Questions on how to integrate Einstein Discovery predictions into triggered campaigns for more personalized customer interactions
• Case study-style questions requiring candidates to analyze campaign performance metrics and recommend optimizations
• Questions on best practices for designing and implementing triggered campaigns that comply with data privacy regulations

Candidates should be prepared to demonstrate a deep understanding of how triggered campaigns work within the Salesforce ecosystem, as well as the ability to apply this knowledge to real-world business scenarios.

Development of Architecture in the context of Salesforce CRM Analytics and Einstein Discovery involves designing and implementing a robust analytical framework that aligns with an organization's business objectives. This process includes determining the appropriate data sources, integration methods, and security measures to ensure a scalable and efficient analytics solution. Key considerations include data modeling, ETL (Extract, Transform, Load) processes, and the creation of datasets that support meaningful insights. The architecture should also account for user roles, permissions, and the overall governance structure to maintain data integrity and compliance.

This topic is crucial to the Salesforce Certified CRM Analytics and Einstein Discovery Consultant exam as it forms the foundation for implementing effective analytics solutions. A strong understanding of architecture development ensures that consultants can design systems that meet both current and future analytical needs of an organization. It relates directly to several exam objectives, including data management, security and sharing, and performance optimization. Mastery of this topic demonstrates a candidate's ability to create robust, scalable, and secure analytics environments within the Salesforce ecosystem.

Candidates can expect a variety of question types on this topic in the exam:

• Multiple-choice questions testing knowledge of best practices in CRM Analytics architecture design
• Scenario-based questions requiring candidates to recommend appropriate architectural solutions for given business requirements
• Questions on data integration methods and their implications on system performance and scalability
• Security-related questions focusing on data access controls and compliance considerations in the architecture
• Questions about optimizing query performance and data processing within the CRM Analytics platform

These questions will assess not only theoretical knowledge but also the practical application of architectural principles in real-world scenarios. Candidates should be prepared to demonstrate a deep understanding of how different architectural choices impact the overall analytics solution and its alignment with business goals.

Optimizing Service Performance in the context of Salesforce CRM Analytics and Einstein Discovery involves leveraging data-driven insights to enhance customer service operations. This topic covers the use of analytics tools to identify bottlenecks, streamline processes, and improve overall service efficiency. Key aspects include analyzing service metrics such as case resolution times, customer satisfaction scores, and agent productivity. It also encompasses the application of Einstein Discovery to predict service outcomes, identify trends, and provide recommendations for improving service delivery. Additionally, this topic involves creating dashboards and reports to monitor service KPIs and enable data-driven decision-making for service managers and executives.

This topic is crucial to the Salesforce Certified CRM Analytics and Einstein Discovery Consultant exam as it demonstrates the practical application of analytics tools in a critical business function. Service optimization aligns with the exam's focus on using data to drive business value and improve operational efficiency. Understanding how to leverage CRM Analytics and Einstein Discovery for service performance ties into broader exam themes such as data analysis, predictive modeling, and actionable insights. It also relates to other exam topics like data preparation, dashboard design, and story creation, as these skills are essential for effectively analyzing and presenting service performance data.

Candidates can expect the following types of questions on this topic:

• Multiple-choice questions testing knowledge of key service metrics and how they can be analyzed using CRM Analytics
• Scenario-based questions asking candidates to identify the most appropriate analytics approach for a given service performance challenge
• Questions on interpreting Einstein Discovery predictions and recommendations for service optimization
• Tasks related to designing dashboards or reports for monitoring service KPIs
• Questions on best practices for implementing data-driven service improvements based on analytics insights

The depth of knowledge required will range from understanding basic service metrics to applying advanced analytics concepts for complex service optimization scenarios. Candidates should be prepared to demonstrate their ability to translate analytical findings into actionable recommendations for improving service performance.

The Data Layer in CRM Analytics and Einstein Discovery is a crucial component that deals with data ingestion, preparation, and management. It encompasses various aspects such as connecting to data sources, extracting and loading data into CRM Analytics, and performing data transformations. Key sub-topics include data connectors, dataflows, recipes, and data security. The Data Layer also involves understanding data models, handling different data types, and ensuring data quality and consistency. It's essential to grasp concepts like incremental updates, data sync, and data integration patterns to effectively manage and prepare data for analysis and AI-driven insights.

This topic is fundamental to the Salesforce Certified CRM Analytics and Einstein Discovery Consultant exam as it forms the foundation for all analytical and predictive capabilities. A strong understanding of the Data Layer is crucial for designing and implementing effective CRM Analytics solutions. It directly relates to several exam objectives, including data integration, data preparation, and data modeling. Mastery of this topic is essential for candidates to demonstrate their ability to architect robust analytics solutions that can handle diverse data sources and complex business requirements.

Candidates can expect a variety of question types on the Data Layer topic in the exam:

• Multiple-choice questions testing knowledge of data connector types and their appropriate use cases
• Scenario-based questions asking candidates to identify the best approach for data integration given specific business requirements
• Questions on dataflow and recipe functionality, including when to use each and how to optimize them
• Problem-solving questions related to data quality issues and how to address them using CRM Analytics tools
• Questions on data security and governance, including how to implement row-level security and manage data access
• Conceptual questions on data modeling best practices and their impact on analytics performance

The depth of knowledge required will range from basic recall of concepts to advanced application of principles in complex scenarios. Candidates should be prepared to demonstrate both theoretical understanding and practical problem-solving skills related to the Data Layer.

Security is a crucial aspect of CRM Analytics and Einstein Discovery. It encompasses various sub-topics such as data access controls, sharing rules, and user permissions. In CRM Analytics, security is implemented at multiple levels, including app-level security, dataset security, and row-level security. App-level security determines which users can access specific apps and dashboards. Dataset security controls which users can view and modify datasets. Row-level security allows for granular control over which records users can see within a dataset. Einstein Discovery security focuses on model governance, ensuring that only authorized users can create, deploy, and manage predictive models.

This topic is integral to the Salesforce Certified CRM Analytics and Einstein Discovery Consultant exam as it directly relates to the "Security and Access" section of the exam outline. Understanding security concepts is crucial for consultants to design and implement robust analytics solutions that protect sensitive data and comply with organizational policies. Security knowledge is also essential for troubleshooting access issues and ensuring that the right users have appropriate permissions to perform their roles effectively.

Candidates can expect a variety of question types on this topic in the exam:

• Multiple-choice questions testing knowledge of security concepts and best practices
• Scenario-based questions asking candidates to identify the appropriate security measures for a given situation
• Questions on troubleshooting security-related issues in CRM Analytics and Einstein Discovery
• Questions on implementing row-level security and sharing rules
• Questions on managing user permissions and access controls for apps, dashboards, and datasets

The depth of knowledge required will range from basic understanding of security concepts to the ability to apply these concepts in complex scenarios. Candidates should be prepared to demonstrate their understanding of how to implement and manage security at various levels within CRM Analytics and Einstein Discovery.

The Admin topic for the Salesforce Certified CRM Analytics and Einstein Discovery Consultant exam covers essential administrative tasks and responsibilities related to CRM Analytics (formerly known as Tableau CRM) and Einstein Discovery. This includes managing user access and permissions, configuring security settings, and overseeing data integration and management. Administrators are responsible for setting up and maintaining the CRM Analytics environment, creating and managing apps, and ensuring data quality and integrity. They also handle user adoption, training, and support, as well as monitoring system performance and troubleshooting issues.

This topic is crucial to the overall exam as it forms the foundation for effectively implementing and managing CRM Analytics and Einstein Discovery within an organization. Understanding administrative tasks is essential for consultants to design and implement solutions that align with best practices and organizational requirements. The Admin topic relates closely to other exam areas such as data management, security, and app development, as administrative tasks often intersect with these domains.

Candidates can expect a variety of question types on the Admin topic, including:

• Multiple-choice questions testing knowledge of specific administrative features and functionalities
• Scenario-based questions that require applying administrative concepts to real-world situations
• Questions on best practices for user management, security configuration, and data integration
• Tasks related to troubleshooting common administrative issues
• Questions on the relationship between CRM Analytics administration and broader Salesforce administration

The depth of knowledge required will range from basic understanding of administrative concepts to more complex scenarios involving multiple administrative tasks and considerations. Candidates should be prepared to demonstrate their ability to make informed decisions about administrative setup and maintenance in various organizational contexts.

CRM Analytics Dashboard Design is a crucial aspect of the Salesforce CRM Analytics platform. It involves creating visually appealing and informative dashboards that present data in a meaningful way to end-users. Key elements of dashboard design include selecting appropriate chart types, organizing layouts, implementing interactivity through filters and actions, and optimizing performance. Effective dashboard design also considers user roles and requirements, ensuring that the most relevant information is easily accessible. Additionally, designers must understand how to leverage CRM Analytics features such as custom queries, bindings, and custom widgets to enhance dashboard functionality and user experience.

This topic is central to the Salesforce Certified CRM Analytics and Einstein Discovery Consultant exam as it directly relates to the core competencies required for implementing and customizing CRM Analytics solutions. Understanding dashboard design principles and best practices is essential for consultants to create effective data visualization tools that drive business insights and decision-making. The topic intersects with other exam areas such as data preparation, security considerations, and performance optimization, making it a fundamental component of the overall certification.

Candidates can expect a variety of question types related to CRM Analytics Dashboard Design on the exam:

• Multiple-choice questions testing knowledge of dashboard components, chart types, and best practices for layout and design.
• Scenario-based questions that require candidates to recommend appropriate dashboard designs based on specific business requirements and user needs.
• Questions focusing on technical aspects such as implementing dashboard interactivity, using custom queries, and optimizing dashboard performance.
• Conceptual questions about the relationship between dashboard design and other CRM Analytics features, such as data preparation and security measures.

The depth of knowledge required will range from basic understanding of dashboard elements to more advanced concepts like custom widget implementation and complex dashboard interactions. Candidates should be prepared to demonstrate both theoretical knowledge and practical application of CRM Analytics Dashboard Design principles.

CRM Analytics Dashboard Implementation involves the process of designing, creating, and deploying interactive dashboards within the Salesforce CRM Analytics platform. These dashboards provide visual representations of data, allowing users to gain insights and make data-driven decisions. Key aspects of dashboard implementation include selecting appropriate chart types, configuring widgets, applying filters and faceting, and optimizing dashboard performance. Consultants must understand how to create effective layouts, incorporate dynamic actions, and utilize best practices for data visualization to ensure dashboards are both informative and user-friendly.

This topic is crucial to the Salesforce Certified CRM Analytics and Einstein Discovery Consultant exam as it forms a core component of the CRM Analytics platform. Effective dashboard implementation is essential for delivering value to end-users and stakeholders. The exam tests candidates' ability to design and implement dashboards that meet business requirements, leverage CRM Analytics features, and follow best practices for data visualization and user experience. Understanding this topic is vital for demonstrating proficiency in CRM Analytics and showcasing the ability to create impactful business intelligence solutions.

Candidates can expect a variety of question types related to CRM Analytics Dashboard Implementation on the exam, including:

• Multiple-choice questions testing knowledge of dashboard components, chart types, and configuration options
• Scenario-based questions requiring candidates to recommend appropriate dashboard designs or features based on given business requirements
• True/false questions about best practices and limitations of CRM Analytics dashboards
• Questions on troubleshooting common dashboard issues and optimizing performance
• Drag-and-drop questions to assess understanding of dashboard layout and widget placement

The depth of knowledge required will range from basic understanding of dashboard concepts to more advanced topics such as implementing custom actions, utilizing SAQL in dashboards, and integrating external data sources. Candidates should be prepared to demonstrate both theoretical knowledge and practical application of CRM Analytics dashboard implementation techniques.