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.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

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. I am glad analytics as we know it will go away. AI | Now | Global Maxima.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

Smart Data Collective

JANUARY 1, 2022

More businesses are becoming reliant on big data than ever these days. Big data has been especially important for implementing modern marketing strategies. The marketing analytics market is projected to be worth $5.3 billion by 2026 as more marketers discover the benefits of big data technology.

Data-driven 126

Data-driven Marketing Big Data Strategy 126

Smart Data Collective

JULY 24, 2023

Nabil M Abbas of Towards Data Science talked about one of the most interesting ways that data analytics is changing the NBA. Abbas states that more players are attempting three-point shots based on analytics findings. However, the rise of social media also brings forth challenges that require careful navigation.

Analytics Technologies 79

Analytics Technologies Marketing Technology Analytics 79

datapine

DECEMBER 4, 2019

Augmented analytics was indeed previously referred to as “Smart Data Discovery”. It is the combination of several data processes that, instead of just giving back data, but provides a valuable, strategy-changing recommendation.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Andrew White

JANUARY 11, 2021

Do you recommend a consulting approach strategy rather than a CDO strategy? How do you think Technology Business Management plays into this strategy? Where does the Data Architect role fits in the Operational Model ? Assuming a data architect helps model and guide and assist D&A then they play a key role.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

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