Business Intelligence Data-driven Marketing Analytics 
datapine
MAY 9, 2019
“Without big data, you are blind and deaf and in the middle of a freeway.” – Geoffrey Moore, management consultant, and author. In a world dominated by data, it’s more important than ever for businesses to understand how to extract every drop of value from the raft of digital insights available at their fingertips. Learn here!
datapine
DECEMBER 4, 2019
Business intelligence has undergone many changes in the last decade. Each year, we hear about buzzwords that enter the community, language, market and drive businesses and companies forward. That’s why we have prepared a list of the most prominent business intelligence buzzwords that will dominate in 2020.
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datapine
AUGUST 14, 2019
Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data. To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations.
datapine
FEBRUARY 17, 2023
3) The Link Between White Label BI & Embedded Analytics 4) An Embedded BI Workflow Example 5) White Labeled Embedded BI Examples In the modern world of business, data holds the key to success. That said, data and analytics are only valuable if you know how to use them to your advantage. million per year.
Sisense
JUNE 22, 2021
Your customers interact with multiple campaigns: They start with a TV ad, see a Facebook ad, see a Google Ad two days later, discover an SEO-driven blog article, and finally click on an email discount offer to make a purchase. Get a unified view of all your marketing data sources. Learn more.
Occam's Razor
JANUARY 4, 2022
It is published 50x/year, and shares bleeding-edge thinking about Marketing, Analytics, and Leadership. With Google’s Data Studio , you can actually bring item level CoGS in and easily compute Gross Profit for every single order you get. You can build this into Google’s Data Studio if you like. You can sign up here.
Sisense
JANUARY 22, 2021
A well-structured fintech algorithm could easily use machine learning (ML) to advise a human agent to approve or reject a business loan application. That advice is a quintessential actionable insight: The algorithm models the applicant’s probability of success by training on a mountain of historical data and market factors.
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