128. Profit-Generating Business Decisions Through Data & Analytics with Govind Balu

<p><span style="font-weight: 400;">It's never too early to build your data infrastructure. You can always start small and scale it.</span></p> <p> </p> <p><span style="font-weight: 400;">Today, I welcome back Govind Balu, Founder of QuaXigma, to chat about the power in the strategic value of data analytics, and ultimately machine learning and artificial intelligence. </span></p> <p> </p> <p><span style="font-weight: 400;">Govind and I dive into ways on how to set up a business for a smooth sailing data & analytics system. Govind also shares how his firm helps businesses accelerate their digital transformation by creating customer-centric solutions.</span></p> <p> </p> <p><span style="font-weight: 400;">You’ll surely come out of this episode with the perfect idea on how you’ll do data analytics for your business so tune in now!</span></p> <p> </p> <p><strong>We’ll talk about:</strong></p> <ol> <li><span style="font-weight: 400;">Introduction</span> <strong>[00:00]</strong></li> <li><span style="font-weight: 400;">Data challenges that Govind see in SMEs</span> <strong>[04:11]</strong></li> <li><span style="font-weight: 400;">Govind’s data organization tip for small companies</span> <strong>[6:21]</strong></li> <li><span style="font-weight: 400;">Having the right data on making business decisions</span> <strong>[11:47]</strong></li> <li><span style="font-weight: 400;">Keeping your database clean starting from the early days</span> <strong>[14:02]</strong></li> <li><span style="font-weight: 400;">Including data strategies to customer journey roadmap</span> <strong>[18:10]</strong></li> <li><span style="font-weight: 400;">Enabling your eCommerce strategy with data, AI, and ML</span> <strong>[22:19]</strong></li> <li><span style="font-weight: 400;">Considerations to take note of for a better customer experience</span> <strong>[26:20]</strong></li> <li><span style="font-weight: 400;">Govind’s piece of advice for startups</span> <strong>[31:16]</strong></li> <li><span style="font-weight: 400;"> Developing data strategies