Smart Data Collective
JUNE 25, 2021
Visual marketing dashboards are prime examples of using big data effectively in marketing. In this day and age, all businesses must pay especially close consideration to the performance of their marketing metrics dashboard. They must make sure that their marketing strategy is operating effectively.
Smart Data Collective
JUNE 24, 2021
Analytics plays an invaluable role in modern marketing. We have talked extensively about the value of using data for marketing strategies in all industries. Analytics can be particularly useful for content marketing. You can use analytics to optimize your lead generation strategy.
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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). My personal strategy: Understand reality. If you want to know what I’m doing, search for the phrase “my personal strategy” above. They send out reports and dashboards. AI | Now | Global Maxima.
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
By gaining the ability to understand which datasets are relevant to particular goals, strategies, and initiatives in your organization, you’ll be able to identify trends or patterns that will help you make significant improvements in a number of key areas within the organization. Data access, analytics, and presentation.
Smart Data Collective
JULY 11, 2022
The top marketing strategists of every organization need to understand its benefits and use it effectively. The market for marketing analytics technology is growing nearly 14% a year. The demand for data analytics technology in the marketing will continue to grow as more executives recognize its benefits.
datapine
AUGUST 14, 2019
Companies surely need data scientists to help them empower their analytics processes, build a numbers-based strategy that will boost their bottom line, and ensure that enormous amounts of data are translated into actionable insights. But being an inquisitive Sherlock Holmes of data is no easy task. Let’s get started.
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