Are you struggling to find meaningful learning support in the data analytics field? Tired of the same ineffective advice and lacking the right connections to make a difference? Join us in this episode and learn how to unlock personalized learning support with data communities and AI technology – finally advancing your skills and career in data science. In this episode, you will be able to: Establish close-knit communities for individualized learning support in the realm of data analytics. Elevate your worth as a data professional by mastering Python's adaptability and AI potential. Attract employer interest with striking data analysis projects featured in your portfolio. Integrate AI technologies, such as Chat GPT, to revolutionize your data analytics learning experience. Overcome the isolation of freelancing while forging meaningful connections and mentorship within the data industry. Kedeisha Bryan is a dedicated data professional who has made a significant impact in the field of data analytics in just two years. With a background in senior data engineering at Booz Allen Hamilton, Kedeisha has a wealth of experience in various aspects of data analysis, data science, and data engineering. She began her journey in data analytics by self-studying SQL, Tableau, and Excel, which led to a year-long full-time internship and eventually to her current position. Kedeisha is the founder of Data in Motion, a thriving private community for data enthusiasts that offers personalized learning support and resources. For full show notes, and the links mentioned visit: ⁠⁠https://www.enterprisedna.co/podcast⁠⁠ Be our guest, register here: ⁠⁠https://www.enterprisedna.co/be-our-podcast-guest/⁠⁠ Connect with Kedeisha Bryan: LinkedIn: ⁠https://www.linkedin.com/in/kedeishabryan/⁠ Website: https://kedeisha1.github.io/ LinkedIn Page: https://www.linkedin.com/company/data-in-motion-llc/ Website: https://linktr.ee/data_in_motion Connect with Sam McKay Website: ⁠⁠⁠https://www.enterprisedna.co/⁠⁠LinkedIn:⁠⁠ https://www.linkedin.com/in/sammckayenterprisedna/⁠⁠⁠ Loved this episode? Leave us a review and rating here: ⁠⁠https://podcasts.apple.com/us/podcast/the-analytic-mind/id154106699

In this episode of The Analytic Mind, host Sam McKay welcomes data expert Nikola Ilic, also known as the Data Mozart, to discuss the latest developments in the data world. Nikola shares his background working with traditional Microsoft business intelligence products and his current focus on Power BI and Azure Synapse Analytics. The conversation then turns to the strength of Microsoft's data platform and the integration of its various components. Sam and Nikola also explore the potential of AI technology in data analysis and productivity, citing recent advancements in PowerPoint and Power BI. Nikola Ilic is a renowned data expert with extensive experience working with traditional Microsoft Business Intelligence stack, Power BI, and Azure Synapse Analytics. He is passionate about the Microsoft Evolution and BI stack and has identified a talent gap in the Power BI community to create high-quality solutions that can cater to different business units. Nikola believes that the combination of AI and Power BI can revolutionize the way people use data to make informed decisions, leading to increased productivity and success. In this episode, you will learn the following: 1. How AI is revolutionizing data immersion, analytics, and visualization. 2. Best practices for architecting large data initiatives. 3. Automating the retrieval and transformation of data for everyday business users. For full show notes, and the links mentioned visit: ⁠⁠https://www.enterprisedna.co/podcast⁠⁠ Be our guest, register here: ⁠⁠https://www.enterprisedna.co/be-our-podcast-guest/⁠⁠ Connect with me: Nikola Ilic Website: https://data-mozart.com/ LinkedIn: https://www.linkedin.com/in/nikola-ilic-data-mozart/ Twitter: https://twitter.com/DataMozart Sam McKay Website: ⁠⁠https://www.enterprisedna.co/⁠⁠LinkedIn:⁠⁠ https://www.linkedin.com/in/sammckayenterprisedna/⁠⁠ Loved this episode? Leave us a review and rating here: ⁠⁠https://podcasts.apple.com/us/podcast/the-analytic-mind/id154106699

Today’s episode features Gilbert Quevauvilliers, an expert in the field of Business Intelligence and Data Analytics. He has been in the industry since 2009 and has been an early adopter of Power BI, which he has been using for many years in his consulting and various engagements. His expertise spans across the data stack, from multidimensional cubes to the tabular model, and he has continuously kept himself up-to-date with the latest technologies. Starting off in a large company in Durban, South Africa, he has decided to specialize in the Microsoft ecosystem and has built a wealth of knowledge and experience in this area. Join us today to hear Gilbert's expert insights and learn from his expertise. In this episode, you will learn the following: 1. How to bridge the gap between stored data and the business users' needs 2. Know the key to success with Microsoft Tools 3. The importance of simplifying data models and creating a user-friendly data catalog for Power BI For full show notes, and the links mentioned visit: ⁠https://www.enterprisedna.co/podcast⁠ Be our guest, register here: ⁠https://www.enterprisedna.co/be-our-podcast-guest/⁠ Connect with me: Gilbert Quevauvilliers Website: ⁠www.fourmoo.com⁠ LinkedIn: ⁠ https://www.linkedin.com/in/fourmoo/ Sam McKay Website: ⁠https://www.enterprisedna.co/⁠ LinkedIn:⁠ https://www.linkedin.com/in/sammckayenterprisedna/⁠ Loved this episode? Leave us a review and rating here: ⁠https://podcasts.apple.com/us/podcast/the-analytic-mind/id154106699

In this episode, Sam McKay and Brian Julius discuss their latest initiative from Enterprise DNA, called Workouts. The aim of Workouts is to help users improve their skills in a more time-efficient and accessible way. They dive into how Workouts provide users with the opportunity to accelerate their skills in data analysis through daily challenges and access to experts in various fields. Brian shares his vision for Workouts as a gym-like setting where members and non-members can improve their job prospects by building their skill portfolios. He also believes that the rapid development of Artificial intelligence (AI), Robotic process automation (RPA), and other technologies will provide a huge jump in intelligence and productivity. Brian hopes that Workouts will be a part of this exciting change. Join Sam and Brian in this episode to learn more about how Workouts can help you take your data analysis skills to the next level. What you will learn: Enterprise DNA’s new initiative would Accelerate Your Data Analytics Learning and Skill Development. The power of skills portfolio and how it can enhance your career opportunities The Benefits of Participating in Enterprise DNA Workouts For full show notes, and the links mentioned visit: https://www.enterprisedna.co/podcast Be our guest, register here: https://www.enterprisedna.co/be-our-podcast-guest/ Connect with me: Brian Julius LinkedIn: https://www.linkedin.com/in/brianjuliusdc/ Blog: https://blog.enterprisedna.co/author/brian-julius/ Sam McKay Website: https://www.enterprisedna.co/ LinkedIn: https://www.linkedin.com/in/sammckayenterprisedna/ Loved this episode? Leave us a review and rating here: https://podcasts.apple.com/us/podcast/the-analytic-mind/id154106699

In this episode of the podcast, learn from the expertise of Thomas Martens, a Microsoft Data Platform MVP and Solution Architect at Munich Re. Join us as he explores the role of a Power BI Sherpa in driving a data culture and overcoming challenges in organizations. With 25 years of experience delivering Business Intelligence, Data Warehousing, and Analytics solutions, Tom shares his insights on using Power BI to tackle analytical challenges and apply analytical methods to small and large amounts of data. In this episode, Tom discusses the importance of Power BI in fostering a data culture, the challenges faced in large-scale analytics implementation, and his thoughts on the future of Power BI. Don't miss this opportunity to hear from a seasoned expert on the topic of Power BI and its impact on organizations. Thomas "Tom" Martens has been awarded as an MSFT Data Platform MVP and works as Solution Architect at Munich Re (www.munichre.com). Tom is a regular speaker at international conferences and user meetings. Tom is the co-author of the book "Pro DAX with Power BI." When he is not working, Tom enjoys cycling and taking pictures. He also loves to blog and is passionate about helping others level up in the Power Bi space. Tom is an expert when it comes to creating complex solutions and architecting applications for large organizations. In this episode, you will learn the following: 1. Working with Microsoft Technologies for 25 plus years and falling in love with Power BI 2. Understanding complex concepts such as incremental refresh and slowly changing dimensions in Star schema modeling 3. Forming teams of diverse skill sets to create data visualizations and build custom visual demos in Power BI. Chapter Summaries: 00:00 Introduction 11:12 Exploring the Week-to-Week Role of a Solution Architect at Munich Re 22:54 Balancing Scalability and User Requirements in Deploying Data Solutions 27:49 Power BI and the Power Platform as the Engine of Analytics in Organizations 32:52 The Benefits of Staying Within the Microsoft Ecosystem: Power BI as the Data Analytics Hub 40:07 Challenges in Large-Scale Analytics Implementation: Insights from Experts 54:38 Exploring the Future of Power BI: Anticipating Advancements and Exciting Developments 1:06:38 Final Thoughts and Connecting with Tom Martens For full show notes, and the links mentioned visit: https://www.enterprisedna.co/podcast Be our guest, register here: https://www.enterprisedna.co/be-our-podcast-guest/ Connect with me: Thomas "Tom" Martens LinkedIn: https://www.linkedin.com/in/tommartens68/ Website: https://minceddata.info "Pro DAX with Power BI." Book: https://www.amazon.com/Pro-DAX-Power-Intelligence-PowerPivot/dp/1484248961 Sam McKay Website: https://www.enterprisedna.co/ LinkedIn: https://www.linkedin.com/in/sammckayenterprisedna/ Loved this episode? Leave us a review and rating here: https://podcasts.apple.com/us/podcast/the-analytic-mind/id154106699