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Exploring the "Money Tree" and Data Sharing Innovations

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Chapter 1: The Intersection of Data and Innovation

Welcome to our weekly digest focused on Data, AI, and Analytics. In this post, we sift through the most significant data stories of the week, highlighting what’s trending and what’s not. For those short on time, you can catch our weekly vlog or listen to our podcast.

As a special treat, there's a slide deck at the end of this post filled with resources and links—feel free to download it for free and share it with your network.

Let’s dive into the top five data stories making waves this week!

  1. This Month in Tech: Envisioning Data Experiences in a Decade

    Bernard Marr and I reflect on February's advancements, addressing themes around sports, AI, and fostering employee engagement.

  2. Best Practices for Scaling Innovation and Productivity

    Walmart's Suresh Kumar and Doug McMillon discuss their journey of modernization, including the migration of over 1.7 Petabytes to their cloud-based data lake. They share insights on employing augmented reality, natural language processing, and machine learning to enhance customer service—an essential conversation on the future of retail.

  3. Home Runs and Slam Dunks: The Role of Analytics in Sports

    This week marks the 10th anniversary of the MIT Sloan Sports Analytics Conference, a pivotal moment for me as I had the opportunity to engage with industry leaders like Malcolm Gladwell and Mark Cuban. Despite a broken ankle, I was thrilled to attend!

Additional notable posts on sports analytics this week include:

  • Donald Farmer discusses the underappreciated role of data in football.
  • Eric Schmidt presents the Golden State Warriors as his 'Customer of the Week.'
  • Mike Myatt highlights the human aspect in sports through Roger Federer.
  1. 21 Strategies to Enhance Your Data Analytics Approach

    According to Accenture's recent survey, only 21% of employees feel confident in their data literacy. Here are eight actionable steps to improve this:

    • Differentiate between data literacy and technical literacy.
    • Assess current employee skills.
    • Foster a common language around data.
    • Create a culture of learning and reward curiosity.
    • Acknowledge diverse learning styles.
    • Clearly define success metrics.
    • Ensure leadership involvement.
    • Recognize that data literacy alone is insufficient.
  2. Kudos to My Author Friends!

    Congratulations to Bernard Marr and Neil deGrasse Tyson for their achievements, including the nomination of Tyson's book, "Tech Trends in Practice," for the Business Book Awards.

Extras:

  • Keep an eye out for the upcoming guide on Data Governance.
  • Neil deGrasse Tyson's "Cosmic Queries" is now available, drawing parallels to Stephen Hawking’s "Brief Answers to the Big Questions."
  • Kudos to Oleg Agapov for his Open Source Data Engineering book—perfect for anyone interested in the field.

Countdown to Wrangling!

Attention, DataWranglers! The Wrangle Summit 2021 is approaching. According to Dice, data engineering is among the fastest-growing roles in tech. Are you prepared? Register for free today!

I hope you find this information valuable. Please leave a comment or a like, and feel free to connect with me on LinkedIn @ linkedin.com/in/brunoaziza.

Section 1.1: Money Tree Care Tips

If you're looking to nurture your Money Tree (Pachira Aquatica), check out this informative video that covers essential care techniques, ensuring your plant thrives in its environment.

Subsection 1.1.1: Essential Tips for Money Tree Maintenance

Essential care tips for Money Tree plants

Section 1.2: Reflecting on Past Mistakes in Money Tree Care

In this insightful video, the speaker shares valuable lessons learned over five years regarding Money Tree care, which can help you avoid common pitfalls in nurturing this popular houseplant.

Chapter 2: Future Directions in Data Sharing

Continuing with our exploration of data sharing, we delve into the latest trends and research shaping the future of data collaboration and analytics.

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