Mastering Your Career: The Business of You (feat. Marnie Stockman & Nick Coniglio)

In this episode, Krish and ⁠Jason⁠ discuss the evolution of software development and the changes they have witnessed over the years. They reflect on their first lines of code and compare the differences between then and now. They also explore the pace of change in technology and the challenges it presents for developers. The conversation touches on the importance of being a lifelong learner and staying up to date with new languages and frameworks. They also discuss the benefits and drawbacks of specializing in a specific language or framework and the role of opinions and design patterns in different languages. Krish and Jason go on to discuss the evolution of software development and the challenges and opportunities it presents. They explore the importance of flexibility in programming languages and the need for developers to have an open mind and adapt to new frameworks and technologies. They also delve into the difference between a developer and an engineering mindset, emphasizing the value of problem-solving skills and self-learning. The conversation touches on attention spans and generational shifts, highlighting the impact of smartphones and social media on society. Finally, they discuss the importance of finding fulfillment in one's work and making productive use of time. Takeaways Software development has evolved significantly over the years, with new languages, frameworks, and techniques constantly emerging. Being a lifelong learner and staying up to date with new technologies is crucial for success in the field. Specializing in a specific language or framework can provide job security, but it may limit career opportunities in the long run. Opinions and design patterns vary across different languages, and developers should be open to learning and adapting to new approaches. Developers should be open-minded and adaptable to new frameworks and technologies. Problem-solving skills and self-learning are essential for success in software development. The rise of smartphones and social media has negatively impacted attention spans and the ability to focus. Finding fulfillment in one's work and making productive use of time are important for personal and professional growth. Chapters 00:00 Introduction and Background 01:19 The Evolution of Software Development 13:59 The Pace of Change in Technology 24:53 Specializing in a Language or Framework 29:12 Opinions and Design Patterns in Different Languages 31:25 The Importance of Flexibility in Programming Languages 36:25 Developer vs Engineering Mindset 41:56 Attention Spans and Generational Shifts 57:24 The Detrimental Effects of Smartphones and Social Media 01:02:07 Finding Fulfillment in Software Development Snowpal Products Backends as Services on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AWS Marketplace⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Mobile Apps on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠App Store⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Play Store⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Web App⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Education Platform⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for Learners and Course Creators

24 Helmi 20241h 5min

Tracy Ragan⁠ discusses software supply chain management and the importance of generating and consuming Software Bill of Materials (SBOMs) in decoupled architectures. She explains the challenges of managing libraries and dependencies in microservices and the need for aggregated SBOMs. Tracy emphasizes the importance of rapid response to vulnerabilities and the value of SBOMs in facilitating this response. She also discusses the requirements and industries for SBOMs and the role of SBOMs in analyzing and securing open source and commercial software. Tracy introduces ⁠DeployHub⁠ as a DevSecOps evidence store that helps teams gain confidence in the use and consumption of open source software and enables rapid response to vulnerabilities. Takeaways Software supply chain management involves generating and consuming SBOMs to track libraries and dependencies in decoupled architectures. In decoupled architectures, it is important to generate SBOMs for each microservice and aggregate them to understand the overall software supply chain. SBOMs should be generated for every build and provide visibility into the vulnerabilities and dependencies of each component. The quality of SBOMs is determined by their ability to facilitate rapid response to vulnerabilities and enable collaboration among teams. While SBOMs are not currently required in all industries, their importance is increasing, especially in sectors like government and fintech. Understanding the impact of vulnerabilities is crucial for effective response and prioritization. Rapid response to vulnerabilities is essential to minimize the potential impact on production environments. Centralized data and information are necessary for effective vulnerability management. Fixing vulnerabilities in open source software can be challenging due to the lack of accountability and maintenance. Controlling open source consumption and managing the software supply chain are complex tasks. DeployHub provides a DevSecOps evidence store that helps teams gain confidence in the use of open source software and enables rapid response to vulnerabilities. Chapters 00:00 Introduction to Software Supply Chain Management 03:22 Understanding Architecture in the Context of SBOMs 06:12 Configuration Management in Monolithic Applications 07:39 Challenges of Decoupled Architecture in Microservices 09:20 The Need for SBOMs in Decoupled Architectures 11:15 Generating Aggregated SBOMs for Microservices 13:24 Generating SBOMs for Each Microservice 15:23 Generating SBOMs for Every Build 17:15 Managing Libraries and Dependencies in Decoupled Architectures 19:31 The Importance of Consuming SBOM Data 22:30 Generating SBOMs with Tools 24:28 The Format and Consumption of SBOMs 27:55 The Importance of Consuming and Analyzing SBOM Data 29:43 Requirements and Industries for SBOMs 33:29 SBOMs for Open Source and Commercial Software 36:01 The Role of SBOMs in Rapidly Responding to Vulnerabilities 39:05 The Value of SBOMs in Rapid Response Systems 43:13 Defining the Quality of SBOMs 44:06 Understanding the Impact of Vulnerabilities 46:03 The Importance of Rapid Response 48:35 The Need for Centralized Data and Information 50:27 Challenges in Fixing Vulnerabilities 52:14 The Accountability of Open Source Software 53:41 The Difficulty of Controlling Open Source Consumption 55:16 Introduction to DeployHub 57:43 Managing the Software Supply Chain Tracy Ragan's Links: ⁠Linkedln Profile⁠ ⁠⁠DeployHub⁠⁠ Snowpal Products Backends as Services on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AWS Marketplace⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Mobile Apps on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠App Store⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Play Store⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Web App⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Education Platform⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for Learners and Course Creators

20 Helmi 202458min

In this podcast episode, Krish compares the Instacart and Wegmans apps to identify commonalities and similarities. He discusses the reusability and integration of backend systems, highlighting the benefits of leveraging existing solutions rather than reinventing the wheel. Krish also explains Snowpal's business model, which focuses on selling software and licenses to other companies. He showcases the integration of multiple products within the Snowpal app and emphasizes the importance of balancing verticals and horizontals in software development. Takeaways Leveraging existing solutions and reusing backend systems can save time and resources in software development. Selling software and licenses can be a successful business model, allowing companies to provide ready-made solutions to other businesses. Integrating multiple products within an app can provide a comprehensive solution for users. Balancing verticals (specific solutions) and horizontals (platform layers) is crucial for successful software development. Chapters 00:00 Introduction and Context 02:02 Comparison of Instacart and Wegmans Apps 13:00 Reusability and Integration of Backend Systems 17:20 Snowpal's Business Model 21:12 Integration of Multiple Products in SnowPAL App 26:10 Reuse of SnowPAL's Web Application 28:37 Balancing Verticals and Horizontals in Software Development 29:07 Conclusion Snowpal Products Backends as Services on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AWS Marketplace⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Mobile Apps on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠App Store⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Play Store⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Web App⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Education Platform⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for Learners and Course Creators

5 Helmi 202429min

In this podcast episode, Krish explores Teradata from scratch. He starts by introducing Teradata as a complete cloud analytics and data platform, suitable for building large-scale data warehousing applications. He explains the concepts of data warehousing, data lakes, and data marts. Krish then explores Teradata's platform and products, including Teradata Vantage and ClearScape Analytics. He demonstrates how to get started with Teradata by creating an environment and exploring the JupyterLab interface. Krish creates tables, loads data, and runs queries in Teradata, providing hands-on experience and learning along the way. Krish explores the Teradata platform and its functionalities. He starts by troubleshooting a query and identifying the issue. Then, he runs basic queries to demonstrate the SQL syntax. Krish also discusses the availability of third-party plugins and explores some of them. Finally, he concludes the episode by discussing the next steps for further exploration and learning. Takeaways Teradata is a complete cloud analytics and data platform suitable for building large-scale data warehousing applications. Data warehousing, data lakes, and data marts are important concepts to understand in the context of Teradata. Teradata offers a range of products and platforms, including Teradata Vantage and ClearScape Analytics. JupyterLab and Jupyter Notebooks can be used to interact with Teradata and perform data analysis and exploration. Creating tables, loading data, and running queries are essential tasks in Teradata. Teradata is a powerful platform for data analysis and management. Troubleshooting queries is an essential skill for working with Teradata. Basic SQL syntax can be used to run queries on Teradata. Third-party plugins can enhance the functionality of Teradata. Chapters 00:00 Introduction to Teradata 01:16 Understanding Data Warehousing and Data Lakes 03:35 Data Marts and Teradata 04:26 Exploring Teradata's Platform and Products05:41Getting Started with Teradata 06:25 Teradata Vantage and ClearScape Analytics 07:57 Understanding JupyterLab and Jupyter Notebooks 19:14 Exploring JupyterLab Extensions 28:18 Creating Tables and Loading Data in Teradata 48:02 Running Queries in Teradata 53:49 Troubleshooting Query 55:14 Running Basic Queries 56:00 Third-Party Plugins 57:14 Exploring Plugins 58:18 Next Steps and Further Exploration 58:45 Conclusion Snowpal Products Backends as Services on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AWS Marketplace⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Mobile Apps on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠App Store⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Play Store⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Web App⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Education Platform⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for Learners and Course Creators

26 Tammi 20241h

In this podcast episode, ⁠Dr. Deva Rangarajan⁠ discusses the topic of prospecting in sales. The conversation covers various aspects of prospecting, including the changes in prospecting over time, the difference between advertising and marketing, and the role of sales and marketing in outbound and inbound prospecting. The discussion also touches on the effectiveness of cold calling and cold emailing, the challenges of purchasing mailing lists, and the importance of automation in sales. The episode concludes with a recap of the main points discussed and a preview of the next episode, which will delve into a practical example of prospecting. Takeaways Prospecting in sales involves both outbound and inbound approaches. The role of sales and marketing teams is crucial in both outbound and inbound prospecting. Cold calling and cold emailing can still be effective in certain scenarios and industries. Purchasing mailing lists may not be a reliable or recommended approach. Automation plays a significant role in streamlining sales processes. Open rates and response rates in email campaigns can vary, and it is important to set realistic expectations. Chapters 00:00 Introduction 01:24 Subjectivity in Sales 06:42 Sales Prospecting 101 09:31 Changes in Prospecting 10:33 Difference Between Advertising and Marketing 12:26 Sales and Marketing for the Long Term 15:24 Inbound and Outbound Prospecting 18:43 Approaching Outbound and Inbound Differently 22:03 Role of Sales and Marketing in Outbound and Inbound 23:37 Assessing Success in Sales and Marketing 25:26 Filtering Leads in Inbound Marketing 26:52 Role of Sales and Marketing Teams 27:36 Inbound and Outbound as a Combination 29:29 Outbound Sales Campaigns 30:51 Cold Calling and Cold Emailing 32:43 Effectiveness of Cold Calling in 2024 33:31 Feasibility of Cold Calling in Certain Scenarios 34:36 Cold Calling in Specific Industries or Demographics 36:39 Cold Emailing and LinkedIn Prospecting 38:17 Challenges with Purchasing Mailing Lists 39:23 Quality and Accuracy of Mailing Lists 42:42 Considerations for Small Organizations 43:39 Importance of Automation in Sales 44:57 Open Rates and Response Rates in Email Campaigns 49:09 Recap and Practical Examples 53:49 Closing Comments 55:51 Next Steps and Example 58:14 Conclusion Dr. Rangarajan's Links LinkedIn Profile Ball State Sales Center⁠ Snowpal Products Backends as Services on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AWS Marketplace⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Mobile Apps on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠App Store⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Play Store⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Web App⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Education Platform⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for Learners and Course Creators

26 Tammi 202458min

In this podcast, Krish discusses the importance of using diagrams to effectively communicate within teams. He shares examples of different types of diagrams, including sequence diagrams, flowcharts, and mind maps. Krish emphasizes the productivity and efficiency gained by using digital tools to create diagrams, rather than manually drawing them. He also highlights the value of diagrams in conveying complex information and facilitating understanding. Overall, the podcast emphasizes the benefits of incorporating diagrams into team communication and decision-making processes. Takeaways Diagrams are a powerful tool for effective communication within teams. Using digital tools to create diagrams increases productivity and efficiency. Different types of diagrams, such as sequence diagrams, flowcharts, and mind maps, can be used to represent different types of information. Diagrams help convey complex information and facilitate understanding. Chapters 00:00 Introduction to Diagrams 04:45 Using Diagrams to Communicate Within Teams 06:08 Using Sequence Diagrams 22:44 Using Flowcharts 32:09 Using Mind Maps 35:33 Summary and Conclusion Snowpal Products Backends as Services on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AWS Marketplace⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Mobile Apps on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠App Store⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Play Store⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Web App⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Education Platform⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for Learners and Course Creators

25 Tammi 202437min

In this podcast, Krish explores the process of digital analysis and how to take the analysis forward. He discusses different approaches to analyzing product usage, including general product usage analysis, client-specific product usage analysis, feature-specific product usage analysis, ad hoc analysis, and usage pattern analysis. Krish emphasizes the importance of communicating the analysis to the product team and translating it into meaningful requirements for the engineering team. Takeaways Digital analysis involves analyzing product usage and user behavior. Different approaches to analysis include general product usage analysis, client-specific product usage analysis, feature-specific product usage analysis, ad hoc analysis, and usage pattern analysis. Communicating the analysis to the product team is crucial for making informed decisions. Translating the analysis into meaningful requirements helps guide the engineering team. Chapters 00:00 Introduction and Recap 03:58 Communicating Analysis to Product Team 04:59 General Product Usage Analysis 09:34 Client Specific Product Usage Analysis 14:51 Feature Specific Product Usage Analysis 20:39 Ad Hoc Analysis 25:25 Usage Pattern Analysis 31:03 Translating Analysis into Requirements Snowpal Products Backends as Services on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AWS Marketplace⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Mobile Apps on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠App Store⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Play Store⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Web App⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Education Platform⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for Learners and Course Creators

25 Tammi 202434min

This podcast episode explores digital analytics tools, with a focus on FullStory. The host provides an overview of digital analytics and its importance in understanding user behavior and improving online marketing strategies. The features and configuration of FullStory are discussed, including the ability to analyze user activity, track frustrated sessions and rage clicks, and use UTM campaigns for tracking. The episode also touches on the use of DataDog for digital analytics and highlights the various aspects that can be analyzed, such as session length, user behavior, and conversion rates. The episode concludes with the importance of using digital analytics to improve business performance. Takeaways Digital analytics tools help gather, analyze, and interpret data from digital sources to understand user behavior and improve online marketing strategies. FullStory is a digital analytics tool that provides detailed insights into customer behavior, allowing for optimization of webpages, marketing campaigns, and online initiatives. Features of FullStory include analyzing user activity, tracking frustrated sessions and rage clicks, and using UTM campaigns for tracking. Session length and active time are important metrics to consider for user engagement and scalability. Frustrated sessions and rage clicks can provide insights into user experience issues and areas for improvement. UTM campaigns and sources can be used to track and analyze the performance of digital marketing campaigns. DataDog is another tool that can be used for digital analytics and offers features for monitoring and observability. Digital analytics can be customized to analyze different aspects such as user behavior, page performance, and conversion rates. Using digital analytics can help businesses improve their online presence, understand user needs, and make data-driven decisions for growth and optimization. Chapters 00:00 Introduction and Context 01:27 Overview of Digital Analytics Tools 03:49 Exploring FullStory 07:14 Configuring FullStory 09:40 Analyzing User Activity in FullStory 13:13 Additional Features of FullStory 19:00 Importance of Session Length and Active Time 20:04 Optimizing User Experience and Scalability 21:45 Frustrated Sessions and Rage Clicks 22:33 Understanding Frustrated Sessions and Rage Clicks 23:37 UTM Campaigns and Sources 26:34 Using UTM Codes for Tracking 28:38 Customizing Analysis Parameters 29:42 Exploring DataDog for Digital Analytics 31:56 Analyzing Different Aspects of Digital Analytics 38:00 Using Digital Analytics to Improve Business 39:16 Conclusion Snowpal Products Backends as Services on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AWS Marketplace⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Mobile Apps on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠App Store⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Play Store⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Web App⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Education Platform⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for Learners and Course Creators

24 Tammi 202439min