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Side Hustle Ideas for Experienced Data Scientists in 2022

Smart Data Collective

Are you a data scientist ? Even if you already have a full-time job in data science, you will be able to leverage your expertise as a big data expert to make extra money on the side. Ways that Data-Savvy People Can Make Money with Side Hustles This Year. Dropshipping.

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Analyst’s corner digest #18

Analysts Corner

This time, we’ve got a collection of stories about business analysis, data, agile, and product and project management. But we also cover the topics of requirements gathering and asking the right questions, lessons learned from replacing a legacy solution (part 3!) , and a personal story of becoming a business analyst.

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6 Tips for Using Data Analytics for Product Page SEO

Smart Data Collective

Data analytics technology is becoming more important for marketing than ever before. One of the many ways that marketers are leveraging data analytics is SEO. Data-driven SEO can be very beneficial for any company trying to boost organic search traffic to their product pages. Identify the Best Keywords.

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The Top 4 Things BAs need to learn to work effectively on Today’s projects.

BA Squared

Today’s projects are all about getting business results and today’s business results mean creating smart and meaningful customer experiences. It is important because the BA role is all about getting value to the users and customer and the detailed knowledge is a tiny part of getting there. Why is this important?

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Businesses Discover the Importance of Merging Analytics and Content Marketing

Smart Data Collective

Data is the backbone of effective digital marketing, and content is not just king; it is the entire royal family. When you combine both, you get one of the most formidable and effective marketing strategies ever. How can you get started, though? But, of course, you could do the same too. We’ll start with the basics first.

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QA Teams Need All-in-One Data Analytics Platforms for Testing

Smart Data Collective

Data analytics is an invaluable part of the modern product development process. Companies are using big data for a variety of purposes. Advances in data analytics have raised the bar with QA standards. Companies need to invest in higher quality data analytics solutions to make the most of their QA methodologies.

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Analyst’s corner digest #10

Analysts Corner

New articles 1) Business analysis tips for effective Product ownership by Nuno Santos It’s not new that a good application of business analysis practices helps Product Owners improve their day-to-day work. Some teams buy a commercial off-the-shelf package, which often requires some customization, configuration, or extension.