Noelle Walsh

A big focus in the data world is on data literacy, and ensuring that anyone in an organization has a basic level of understanding and can use data effectively. This led me to check on regular literacy in the US. I was frankly shocked by some of the statistics: ✅ Illiteracy has become such a serious problem in our country that 130 million adults are now unable to read a simple story to their children ✅ 45 million are functionally illiterate and read below a 5th grade level ✅ Between 46% and 51% of American adults have an income well below the poverty level because of their inability to read ✅ Illiteracy costs American taxpayers an estimated $20 billion each year There are quite a few other statistics, and I've included them in the link below. The implications of low literacy (or complete illiteracy) has very negative consequences for those individuals, our economy, healthcare, etc. We've come a long way as a country when it comes to literacy, but there is still room for improvement and we should be focusing more of our education efforts on basic literacy. https://lnkd.in/gCURvMSf

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Question for my data science peeps: When you hear that an organization is adopting AI within analytics practices, what does that mean to you? I'm looking for tangible and applied examples.

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"Data is a precious thing and will last longer than the systems themselves." — Tim Berners-Lee In the data and analytics space, we often focus on the latest tools and technologies. However, the true value lies in the data itself and the insights we can extract from it. As professionals in this field, we must bridge the gap between technical innovation and business impact. Let’s continue to push the boundaries of what’s possible, but never lose sight of the business problems we aim to solve. Our work should always translate into actionable insights and tangible results. To business leaders and other professional across organisations, embrace the power of data-driven decision-making. Invest in understanding the potential of analytics and data science to transform your strategies and operations. Collaboration between technical and business teams is crucial for harnessing the full potential of our data assets. Together, just like my team at Turner & Townsend and I, let’s build a future where data not only unlocks some progress but creates lasting value. How are you leveraging data to make a difference today? #DataScience #Analytics #Leadership #BusinessIntelligence #DataDriven

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I may be a week late, but I'm BACK with episode five of #DataWithPeachey. In today's episode, I'm talking about how important change management is, finding your data and STOPPING some MADNESS related to AI! https://lnkd.in/ei87bQgN https://lnkd.in/ezgX_9bX Check it out today!

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Hey #datafam, check out this tutorial from Felicia Styer, Associate Director of Analytics Solutions at Playfair Data and Tableau Visionary. In the tutorial she walks you through how to build a Semi-Sunburst chart. No extensions required. Link to tutorial in the comments below!

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The Sensemakers, Keith Helfrich and Jonathan Drummey, leverage their combined 20 years of #tableau Conference experience to dissect and present their thoughts on current production direction. This one is a great full length conversation to watch on YT. #data #analytics #data24

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My new mini-series focuses on table calculations in Tableau. Part 1 delves into the intricacies of table calculations going from bascis to advanced settings. Part 2 (padding and domain completion) and Part 3 (applying our learnings) follow en suite.

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"Fewer than half (44%) of data and analytics leaders say their teams are effective in providing value to their organization"–it's 2024, and we data people have been at this thing for a while now. How can it still be the case that most of us are not delivering real value? I talked about this problem back in September at Small Data SF Conference, and how respecting our constraints (rather than pretending they don't exist) can help us focus our efforts, drive innovation, and improve the ROI. Check out the YouTube link in the comments.

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Data quality is the next big enterprise problem. 91% of companies say they need to improve it. Luckily, AI can help. That's why Anomalo just won the Databricks Emerging Partner Of The Year award! Their AI can detect data issues before they screw up your business. If data is gas in the modern economy, Anomalo not only measures your octane -- it can also identify what's polluting your oil. Congrats to all the "Anomallamas" including Elliot Shmukler and SignalFire XIR Doug M. from Splunk who joined alongside us leading the Series B. Thanks for helping the world trust its data! https://lnkd.in/geqZQ6PN

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Machine Learning Week conference is in Phoenix, AZ this week where the forecast is 110+. Now we all know correlation does not mean causation, but when it comes to AI & ML this conference really brings the heat! Come join the fun! #machinelearningweek #aiplaybook

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✅ Data Literacy ✅ Data Fluency ✅ Data Confidence Whatever the terminology your organization prefers, enabling and educating data essentials is key to pushing your program forward. What other areas would you include in your data enablement program? 👌Come learn and earn with the community ~ DataQG.com

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Sometimes it's the simple things that bug me. Like default color legends. Out with the defaults and in with the customization! Check out my latest blog post on how to create custom dynamic legends in #Tableau. #dataviz #learntoviz #vizzendata https://lnkd.in/eSU2CykC

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How mature is your organization's data? Our own Susan Laine, Chief Field Technologist, sat down with BI-Platform to discuss our 7-step approach to data maturity. If you're looking to unlock more from your data or build a strong foundation for AI, don’t miss Susan’s deep dive into data maturity, quality, and innovation. Check out the full interview here 👉 https://okt.to/y42XgL #DataIntelligence #DataMaturity #DataMarketplace #AI #DataQuality

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