Smart Data Collective
JUNE 25, 2021
Big data has been incredibly important in the marketing profession. Marketers need to rely heavily on big data technology to reach customers more effectively. Big data technology isn’t just important for making better insights. They must make sure that their marketing strategy is operating effectively.
Occam's Razor
MARCH 30, 2017
It’s implications are far and wide, even in the narrow scope that I live in (marketing, analytics, influence). I am also excited because I believe that, at least as far out as I can see, the human brain and the human heart will be valued – we will identify new things to value, it just won’t be Digital Marketing Evangelist.
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AWS Big Data
JUNE 27, 2023
We chose Amazon QuickSight because it gave us dynamic and interactive dashboards embedded in our application, while saving us money and development time. Modernized analytics and reporting At iostudio, we faced the challenge of modernizing our government client’s static recruitment marketing analytics solution.
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.
Smart Data Collective
JUNE 24, 2021
We have talked extensively about the value of using data for marketing strategies in all industries. Analytics can be particularly useful for content marketing. Many marketers are stuck in 2008, when data analytics didn’t have a place in digital marketing strategies. Find new leads.
Smart Data Collective
JULY 11, 2022
We have talked about the benefits of using big data in the marketing profession in the past. The top marketing strategists of every organization need to understand its benefits and use it effectively. CMOs Are Investing in the Benefits of Big Data. Influencer marketing. Content marketing.
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.
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