Making Data Simple

Making Data Simple: Little Miss Data builds a data democracy


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Making Data Simple host Al Martin has a chance to discuss all thing data with Laura Ellis, also known as Little Miss Data. Laura is an analytics architect for IBM Cloud as well as a frequent blogger. Together, they talk about how critical it is to understand your data in order create specific calls to action, and what it means to build a data democracy.

Show Notes

00:00 - Follow @IBMAnalyticsSupport on Twitter.

00:22 - Check out our YouTube channel. We're posting full episodes weekly.

00:24 - Connect with Al Martin on LinkedIn and Twitter.

01:20 - Check out littlemissdata.com.

01:22 - Connect with Laura Ellis on Twitter, Instagram, and LinkedIn.

02:20 - Curious to know more about analytics architecture? Check out this IBM article on the topic.

03:52 - Check out the Little Miss Data article Al referenced here.

04:45 - Learn more about Data Democracy here in Laura's blog post.

05:31 - Understand more about the importance of data for your business in this article.

09:11 - Find out more about the challenges of being a data scientist here.

12:45 - Working with good quality data is crucial. Check out this article for more details.

16:12 - Simple data can provide the most effective returns. Learn more here.

21:15 - Choosing the right, supportive environment for your data science journey will make sure you don't get burnt out. This article examines your options.

21:35 - Data is a fundamental step when working with AI. But do you know the difference between data analytics, AI and machine learning? This Forbes article walks you through it.

22:42 - Need to brush up on what a data dashboard is? Learn more here.

Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

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Making Data SimpleBy IBM Big Data & Analytics Hub

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