Smart Data Collective

DECEMBER 17, 2021

Introduction: What is Marketing Analytics and How Does it Help Marketers? Marketing Analytics is the process of analyzing marketing data to determine the effectiveness of different marketing activities. Types of Data Used in Marketing Analytics. Data is a constant in today’s world.

Marketing Analytics 94

Marketing Analytics Marketing Data-driven Analytics 94

Business Over Broadway

SEPTEMBER 27, 2018

Siloed data sets prevent marketers from gaining a complete understanding of their customers. In this scenario, marketing analytics can only be conducted within one data silo at a time, decreasing your model’s predictive power / increasing your model’s error. underspecified) due to omitted metrics.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

FineReport

APRIL 3, 2024

Dashboards offer succinct overviews of performance metrics, catering to stakeholders requiring swift insights. Making complex data and analytics metrics understandable for non-analyst users. Its integrated AI furnishes bespoke data metrics, enriching insights. Diverse visualization options enable effective communication.

Dashboards 52

Dashboards Visualization Metrics Interactive 52

datapine

DECEMBER 4, 2019

Without a doubt, it’s a big technological advancement, and one of the big statistics buzzwords, but the extent to which it is believed to be already applied is vastly exaggerated. The commercial use of predictive analytics is a relatively new thing. The accuracy of the predictions depends on the data used to create the model.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Andrew White

JANUARY 11, 2021

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. Decision modeling (one of my favorites). Explore in dialogue decisions and outcomes rather than focus on data and analytics asked for. Try some gamification?

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. 5: What-if Analysis Models. Ex: Six Visual Solutions To Complex Digital Marketing/Analytics Challenges. allow for smart elements like modeling.

Visualization 124

Visualization Strategy Interactive Statistics 124