Smart Data Collective

MAY 16, 2022

Data-savvy companies are constantly exploring new ways to utilize big data to solve various challenges they encounter. A growing number of companies are using data analytics technology to improve customer engagement. They discovered that big data is helping more companies improve relationships with customers.

Data-driven 137

Data-driven Strategy Big Data ROI 137

Occam's Razor

MAY 27, 2015

Here are the digital myths that are leading us down a profoundly sub-optimal path: 1. A data-first strategy is a winning formula. Per our friends at Wikipedia, Programmatic encompasses an array of technologies that automate the buying, placement and optimization of media inventory. Programmatic platforms are a panacea.

Marketing Analytics 153

Marketing Analytics Marketing Analytics Advertising 153

Smart Data Collective

DECEMBER 2, 2021

Big data is a gamechanger for the marketing sector. We have talked about the benefits of using big data in online marketing. However, there are other reasons to use big data to make the most of your marketing strategy. Big Data is Invaluable to the Future of SMS Marketing.

Data-driven 101

Data-driven Marketing Strategy Advertising 101

Smart Data Collective

MARCH 11, 2022

There is no disputing that data analytics is a huge gamechanger for companies all over the world. Global businesses are projected to spend over $684 billion on big data by 2030. There are many ways that companies are using big data to boost their profitability. Customer Retention Analytics.

Customer Analytics 119

Customer Analytics Analytics Key Performance Indicator Big Data 119

Smart Data Collective

MAY 31, 2023

Big data technology has significantly changed the marketing profession over the last few years. One of the biggest changes brought on by big data has been in the field of social media marketing. This technology is understandably very beneficial for marketers as well.

Marketing 78

Marketing Data Analytics Analytics Interactive 78

Occam's Razor

AUGUST 28, 2017

I’ve covered AI earlier: Artificial Intelligence: Implications On Marketing, Analytics, And You. The first eye-opening learning for me came from the Google Research team’s post on Learning from Large-Scale Interaction. In orange is a summary of what “Machines” and humans will be optimally suited for in the near-future.

Deep Learning 139

Deep Learning Machine Learning Marketing Strategy 139

datapine

DECEMBER 4, 2019

Nevertheless, predictive analytics has been steadily building itself into a true self-service capability used by business users that want to know what future holds and create more sustainable data-driven decision-making processes throughout business operations, and 2020 will bring more demand and usage of its features.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Andrew White

JANUARY 11, 2021

For a time, I believed simulation was more useful a capability than optimization, at the time that larger firms were seeking optimization solutions. On end user clients calls, are you hearing a greater focus on use cases and greater need for prescriptive analytics, ex marketing analytics, sales analytics, healthcare, etc.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Occam's Razor

JULY 13, 2017

The sixteen examples neatly fall into nine strategies I hope you’ll cultivate in your analytics practice as you create data visualizations: 1: The Simplicity Obsession. 4: Interactivity With Insightful End-Points. 6: Turbocharging Data Visuals with Storytelling. Strategy 4: Interactivity With Insightful End-Points.

Visualization 124

Visualization Strategy Interactive Statistics 124