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. they will also need to pay attention to the amount of time that those users interacted with their content.

Marketing 77

Marketing Data Analytics Analytics Interactive 77

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 100

Data-driven Marketing Strategy Advertising 100

AWS Big Data

JUNE 27, 2023

We wanted to include interactive, real-time visualizations to support recruiters from one of our government clients. We chose Amazon QuickSight because it gave us dynamic and interactive dashboards embedded in our application, while saving us money and development time.

Metrics 98

Metrics Dashboards Interactive Visualization 98

Smart Data Collective

SEPTEMBER 9, 2020

The market for big data is projected to be worth over $229 billion by 2025, according to research from Markets and Markets. The analysis suggests that the rapid growth in utilization of big data by SMEs is driving momentum in the big data market. Why Track Your Phone Calls?

Marketing 90

Marketing Analytics B2B Big Data 90

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. Big data has been very important for modern marketing.

Dashboards 91

Dashboards Metrics Marketing Key Performance Indicator 91

datapine

DECEMBER 4, 2019

These systems can already speak, write, read and learn; hence, this is one of the big data buzzwords that will continue to disrupt industries in 2020 as well. Mobile Analytics. Augmented analytics will also pave the way to an upcoming trend: conversational analytics.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Smart Data Collective

MARCH 31, 2020

The market for big data and AI is surging. One recent study found that the global market for these technologies will be worth $229 billion within the next five years. And in the marketing industry, AI is revolutionizing the way corporations use data, interact with customers, and grow their firm’s reach.

Marketing 90

Marketing Advertising Big Data ROI 90

Smart Data Collective

FEBRUARY 25, 2021

We have talked a lot about the benefits of big data in marketing. The global marketing analytics market was worth $2.1 This figure is expected to rise sharply in the future as more companies are likely to discover the benefits data-driven marketing affords. billion in 2019.

Data-driven 101

Data-driven Marketing Strategy Big Data 101

Jen Stirrup

SEPTEMBER 19, 2019

Analytics with Python – When you really have difficult data to crunch, Python is your secret Power tool. Business Analytics with Big Data – let’s look at Big Data sources and how we can do Big Data Analytics with tools in Microsoft’s Data Platform.

Business Analytics 40

Business Analytics Analytics Statistics Dashboards 40

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.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

Smart Data Collective

JULY 24, 2023

We will also cover some of the changes brought on by data analytics. Increased Fan Engagement Social media platforms have become the go-to destination for sports fans seeking instantaneous updates and real-time interactions. However, data analytics can also help with social media marketing in the sports sector.

Analytics Technologies 79

Analytics Technologies Marketing Technology Analytics 79

Business Over Broadway

SEPTEMBER 27, 2018

In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. Your marketing strategy is only as good as your ability to deliver measurable results.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

Smart Data Collective

OCTOBER 2, 2019

Analyzing your customer support interactions can also provide insights into the challenges faced by your existing customers. Then use that knowledge to design your marketing campaigns aimed at targeting these target customer segments. Email Marketing Analytics.

Data-driven 89

Data-driven Marketing Testing Optimization 89

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

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. If you’ve not read that post, I do encourage you to do so as it will have valuable context.

Deep Learning 139

Deep Learning Machine Learning Marketing Strategy 139

Andrew White

JANUARY 11, 2021

The most important education/familiarity (as you ask it) in my view is to understand or be intrigued with how humans take decisions; a desire to learn how we think and behave; and a working knowledge for how a business outcome, process and data interact. where performance and data quality is imperative?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52