datapine

AUGUST 14, 2019

To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. Whether the company needs a comprehensive financial analytics strategy or process, R has become one of the most used data science tools to explore and manage data. Let’s get started.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Smart Data Collective

JUNE 25, 2021

Marketers need to rely heavily on big data technology to reach customers more effectively. 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.

Dashboards 92

Dashboards Metrics Marketing Key Performance Indicator 92

datapine

DECEMBER 4, 2019

As Gartner explains , what is central to the development of augmented analytics is the use of machine learning automation to improve human intelligence and the understanding of the context across the whole analytics workflow. Augmented analytics will also pave the way to an upcoming trend: conversational analytics.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Jen Stirrup

SEPTEMBER 19, 2019

One important area in data is marketing. The primary aim of a Digital Marketing Analytics Report is to provide Digital Marketing Managers, Product Owners, and other relevant teams and stakeholders with a clear and easily-usable overview of the KPIs related to their campaigns.

Business Analytics 40

Business Analytics Analytics Statistics Dashboards 40

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.

Analytics Technologies 79

Analytics Technologies Marketing Technology Analytics 79

Sisense

MAY 18, 2021

Becoming a data-minded marketer is a process, and the stats clearly show a large number of marketers are still engaged in that process. With a little guidance, you can avoid some common marketing analytics mistakes to make your data journey smoother. Modernize your marketing with data analytics.

Marketing 52

Marketing Data Analytics Analytics Metrics 52

Smart Data Collective

MARCH 31, 2020

And in the marketing industry, AI is revolutionizing the way corporations use data, interact with customers, and grow their firm’s reach. James Paine, the founder of West Realty Advisors, compiled a list of case studies on companies using big data and AI to get more value for their marketing campaigns.

Marketing 90

Marketing Advertising Big Data ROI 90

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

Smart Data Collective

MAY 31, 2023

Most savvy marketers recognize the importance of using analytics technology to optimize their strategies to get a higher ROI. One example of this trend is by using analytics to measure the engagement of Instagram stories to get customers to interact more frequently. However, who is data points are not enough on their own.

Marketing 77

Marketing Data Analytics Analytics Interactive 77

Smart Data Collective

MAY 19, 2022

billion on marketing analytics in 2020 alone. If it’s clear that the interaction that’s supposed to be personal has been automated, or if you’re not answering a user’s inquiries or worries accordingly, they could lose trust in your brand. The sales profession is one of the areas most affected by data.

Sales 134

Sales Big Data Cost-Benefit Marketing 134

Andrew White

JANUARY 11, 2021

As such any Data and Analytics strategy needs to incorporate data sovereignty as per of its D&A governance program. Coding skills – SQL, Python or application familiarity – ETL & visualization? Yes, prescriptive and predictive analytics remain very popular with clients. Thanks for the overview Andrew.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52