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Episode web page: https://tinyurl.com/2b3dz2z8 ----------------------- Rate Insights Unlocked and write a review If you appreciate Insights Unlocked , please give it a rating and a review. Visit Apple Podcasts, pull up the Insights Unlocked show page and scroll to the bottom of the screen. Below the trailers, you'll find Ratings and Reviews. Click on a star rating. Scroll down past the highlighted review and click on "Write a Review." You'll make my day. ----------------------- In this episode of Insights Unlocked , we explore the evolving landscape of omnichannel strategies with Kate MacCabe, founder of Flywheel Strategy. With nearly two decades of experience in digital strategy and product management, Kate shares her insights on bridging internal silos, leveraging customer insights, and designing omnichannel experiences that truly resonate. From the early days of DTC growth to today’s complex, multi-touchpoint customer journeys, Kate explains why omnichannel is no longer optional—it’s essential. She highlights a standout example from Anthropologie, demonstrating how brands can create a unified customer experience across digital and physical spaces. Whether you’re a marketing leader, UX strategist, or product manager, this episode is packed with actionable advice on aligning teams, integrating user feedback, and building a future-proof omnichannel strategy. Key Takeaways: ✅ Omnichannel vs. Multichannel: Many brands think they’re omnichannel, but they’re really just multichannel. Kate breaks down the difference and how to shift toward true integration. ✅ Anthropologie’s Success Story: Learn how this brand seamlessly blended physical and digital experiences to create a memorable, data-driven customer journey. ✅ User Feedback is the Secret Weapon: Discover how continuous user testing—before, during, and after a launch—helps brands fine-tune their strategies and avoid costly mistakes. ✅ Aligning Teams for Success: Cross-functional collaboration is critical. Kate shares tips on breaking down silos between marketing, product, and development teams. ✅ Emerging Tech & Omnichannel: Instead of chasing the latest tech trends, Kate advises businesses to define their strategic goals first—then leverage AI, AR, and other innovations to enhance the customer experience. Quotes from the Episode: 💬 "Omnichannel isn’t just about being everywhere; it’s about creating seamless bridges between every touchpoint a customer interacts with." – Kate MacCabe 💬 "Companies that truly listen to their users—through qualitative and quantitative insights—are the ones that thrive in today’s competitive landscape." – Kate MacCabe Resources & Links: 🔗 Learn more about Flywheel Strategy 🔗 Connect with Kate MacCabe on LinkedIn 🔗 Explore UserTesting for customer insights for marketers…
Content provided by Business Compass LLC. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Business Compass LLC or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Business Compass LLC is an AWS Advanced Consulting Partner and Well-Architected Partner. We have been recognized as APN Certification Distinction. We specialize in cloud migration, serverless solutions, AI/ML, IoT, DevOps, data and analytics, web development, media services, and Well-Architected Framework Reviews. We provide high-performance applications, scalable infrastructure, and cost-optimized deployments with expertise in Generative AI, Data Analytics, Live Streaming, Pay-Per-View, Video on Demand, AI-driven automation, and security solutions, helping businesses innovate, optimize, and grow efficiently.
Content provided by Business Compass LLC. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Business Compass LLC or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Business Compass LLC is an AWS Advanced Consulting Partner and Well-Architected Partner. We have been recognized as APN Certification Distinction. We specialize in cloud migration, serverless solutions, AI/ML, IoT, DevOps, data and analytics, web development, media services, and Well-Architected Framework Reviews. We provide high-performance applications, scalable infrastructure, and cost-optimized deployments with expertise in Generative AI, Data Analytics, Live Streaming, Pay-Per-View, Video on Demand, AI-driven automation, and security solutions, helping businesses innovate, optimize, and grow efficiently.
How to Migrate Media from Cloudinary to AWS S3 Using Strapi: A Step-by-Step Guide https://businesscompassllc.com/how-to-migrate-media-from-cloudinary-to-aws-s3-using-strapi-a-step-by-step-guide/ Migrating media assets from Cloudinary to AWS S3 using Strapi can significantly improve storage flexibility, cost efficiency, and integration with other AWS services. This podcast provides a comprehensive, step-by-step approach to seamlessly transition media files while ensuring minimal downtime and preserving metadata.…
Optimizing Fine-Tuning Dataset Creation with Multimodal Generative AI Models https://businesscompassllc.com/optimizing-fine-tuning-dataset-creation-with-multimodal-generative-ai-models/ The rapid advancement of artificial intelligence has fueled the need for high-quality datasets to fine-tune models for specific tasks. Traditional dataset creation methods are time-consuming, labor-intensive, and prone to biases. However, the emergence of multimodal generative AI models is transforming this process by automating dataset generation with greater efficiency, accuracy, and scalability.…
Optimizing Cloud Costs: Exporting AWS and GCP Billing Data to BigQuery for Analysis https://businesscompassllc.com/optimizing-cloud-costs-exporting-aws-and-gcp-billing-data-to-bigquery-for-analysis/ Managing cloud costs efficiently is crucial for businesses leveraging multi-cloud environments. Exporting cost and billing data from AWS and Google Cloud Platform (GCP) to BigQuery enables organizations to analyze spending trends, optimize budgets, and enhance financial decision-making. This podcast outlines the step-by-step process to export AWS and GCP billing data to BigQuery for seamless cost monitoring and forecasting.…
Seamlessly Migrate Java JBoss Web Applications to AWS EKS with App2Container https://businesscompassllc.com/seamlessly-migrate-java-jboss-web-applications-to-aws-eks-with-app2container/ Migrating Java JBoss web applications to AWS Elastic Kubernetes Service (EKS) can be a complex process, but with AWS App2Container, organizations can modernize their applications efficiently. App2Container is an AWS service designed to automate the containerization of existing applications, enabling seamless deployment to AWS-managed Kubernetes environments.…
Step-by-Step Guide to Installing MySQL on Amazon Linux 2023 for AWS Lambda Containers https://businesscompassllc.com/step-by-step-guide-to-installing-mysql-on-amazon-linux-2023-for-aws-lambda-containers/ Setting up MySQL on Amazon Linux 2023 for AWS Lambda containers is essential for developers looking to manage databases efficiently in cloud-based environments. This podcast provides a comprehensive step-by-step approach to installing and configuring MySQL on Amazon Linux 2023, ensuring seamless database integration with AWS Lambda.…
Optimizing AWS Lambda as a Google Sheets Metrics Intelligence Collector Using Python https://businesscompassllc.com/optimizing-aws-lambda-as-a-google-sheets-metrics-intelligence-collector-using-python/ Businesses today rely on real-time data analytics to make informed decisions. AWS Lambda, combined with Google Sheets, offers a powerful, scalable, and cost-effective solution for collecting, processing, and analyzing key business metrics. This podcast explores how AWS Lambda can be leveraged as a metrics intelligence collector in Python to streamline data automation and reporting.…
Step-by-Step Guide to Launching an AWS EC2 Instance Using Python https://businesscompassllc.com/step-by-step-guide-to-launching-an-aws-ec2-instance-using-python/ Setting up an AWS EC2 instance using Python can significantly streamline cloud computing tasks. By leveraging the Boto3 library, developers and cloud engineers can automate instance deployment, enhancing efficiency and scalability. This podcast provides a comprehensive, step-by-step approach to launching an EC2 instance using Python.…
How to Create an EC2 Instance Using AWS CLI: Step-by-Step Guide https://businesscompassllc.com/how-to-create-an-ec2-instance-using-aws-cli-step-by-step-guide/ Amazon Web Services (AWS) provides a powerful command-line interface (CLI) that allows users to manage and automate cloud resources efficiently. One of the most common tasks is launching an Amazon Elastic Compute Cloud (EC2) instance. This podcast outlines the step-by-step process to create an EC2 instance using AWS CLI.…
Optimizing Cloud Scalability with Python: A Guide to Efficient Instance Scaling https://businesscompassllc.com/optimizing-cloud-scalability-with-python-a-guide-to-efficient-instance-scaling/ In today’s dynamic cloud computing environment, efficiently scaling instances is crucial for maintaining performance and cost-effectiveness. Python, with its robust automation capabilities, provides an ideal solution for managing and optimizing cloud scalability.…
Mastering AWS IAM Policies: Strengthening Security in Your Cloud Environment https://businesscompassllc.com/mastering-aws-iam-policies-strengthening-security-in-your-cloud-environment/ Amazon Web Services (AWS) Identity and Access Management (IAM) plays a critical role in securing cloud environments by controlling permissions and access to AWS resources. IAM policies serve as the foundation for managing user privileges and ensuring that only authorized entities can perform specific actions within an AWS account.…
What Are Vector Databases in AI and How AWS Helps in Implementation? https://businesscompassllc.com/genai/ Artificial Intelligence (AI) applications, particularly those involving large language models (LLMs), computer vision, and recommendation systems, rely on efficient ways to store, search, and retrieve high-dimensional data. This is where vector databases come into play. These specialized databases are designed to handle embeddings—numerical representations of data points—allowing for fast similarity searches.…
How to Use PostgreSQL for Retrieval-Augmented Generation (RAG) https://businesscompassllc.com/how-to-use-postgresql-for-retrieval-augmented-generation-rag/ Retrieval-augmented generation (RAG) is a powerful technique for enhancing Large Language Models (LLMs) by retrieving relevant documents from a database to generate more context-aware responses. PostgreSQL, an advanced open-source relational database, is a great choice for implementing RAG due to its support for full-text search, vector similarity search (via extensions like pgvector), and scalability. This podcast will guide you through using PostgreSQL for RAG, integrating it with LLMs to create AI-powered applications.…
Creating a SQL AI Agent with AWS: Step-by-Step Guide https://businesscompassllc.com/genai/ Artificial Intelligence (AI) agents have become increasingly valuable in managing complex database interactions, automating query handling, and enhancing decision-making processes. This podcast explores creating a robust SQL AI Agent using AWS services.…
Understanding Ground Truth in AI/ML: Implementation, Use Cases, and AWS Services https://businesscompassllc.com/genai/ Ground truth is a fundamental concept in Artificial Intelligence (AI) and Machine Learning (ML). It refers to the accurate, real-world data used to train, validate, and test models. The effectiveness of an AI model largely depends on the quality of the ground truth data, making it essential for achieving high accuracy and reliability. In this podcast, we’ll explore what ground truth means in AI/ML, how to implement it, its applications, and how AWS services facilitate ground truth data management.…
Multi-Modal AI with AWS: A Comprehensive Guide https://businesscompassllc.com/genai/ Artificial Intelligence (AI) has evolved significantly, enabling models to process diverse data types, including text, images, audio, and video. Multi-Modal AI refers to AI systems that can interpret and generate insights from multiple data modalities. This capability enhances applications such as smart assistants, autonomous vehicles, healthcare diagnostics, and more.…
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