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Startup Digest

Analytics

December 08, 2017

Hello digesters, 

This week we have 5 articles you shouldn't miss this week. Have a fun weekend and happy digesting!

Much ♥ from Chicago & Lagos!

Startup Digest Analytics is curated by:
Lidia Donajczyk-Lipinska

Lidia Donajczyk-Lipinska - Founder @ Hubmama

Contact Lidia Donajczyk-Lipinska at lidia.lipinska@startupdigestmail.com

Banji Adenusi

Banji Adenusi - Partner

Contact Banji Adenusi at banji.adenusi@startupdigestmail.com

Check out the Startup Digest blog for news and resources!

Follow the Startup Digest blog for curated news, resources, and stories from the global network. Gather tips from fellow entrepreneurs, meet our curators and keep up to date on the latest Startup Weekend and Startup Week events happening around the world. You will find everything you need on the Startup Digest blog.

25 Data & Analytics Vendors at the Forefront in 2018

Lisa Morgan - informationweek.com

Businesses are updating their approaches to data analytics as the competitive landscape changes. We explore the trends, technologies, and vendors leading the way.

2018 Top 10 Business Intelligence Trends

Various - tableau.com

The pace and evolution of business intelligence solutions mean what’s working now may need refining tomorrow. From natural language processing to the rise in data insurance, we interviewed customers and Tableau staff to identify the 10 impactful trends you will be talking about in 2018.

6 Data And Technology Trends For 2018

Kimberly A. Whitler - forbes.com

A sneak peek into top data and technology trends as we head into 2018.

Infographic: What’s Big in Business Intelligence for 2018?

Dana Liberty - sisense.com

In 2018, it’s not about a complete change in direction. Instead, it’s about building on what has happened in the past year to take BI and analytics to the new heights.

10 Things You Need to Know About AI, Big Data, and Analytics in 2018

James Warner - customerthink.com

It is predicted that with the onset of New Year, the latest technologies like AI, big data, and analytics need to improvise in order to offer a better result.

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