Smart Data Collective

OCTOBER 17, 2022

Email marketing is the most acceptable way to give precise customer data, but you must guarantee your efforts aren’t wasted. Using data analytics help your email marketing strategies succeed. Data Analytics’ Importance in Email Marketing. Like any other marketing strategy, you must measure email performance.

Marketing 119

Marketing Optimization Data Analytics Analytics 119

CIO Business Intelligence

MARCH 24, 2022

Established by the UK Parliament in 2001 to settle complaints about financial-services companies, the Financial Ombudsman’s Service (FOS) has served an increasing number of consumers, recently dealing with more than a million people a year. Going ‘cloud preferred’ with Microsoft and Workday.

IT 105

IT Measurement Strategy Technology 105

Jen Stirrup

APRIL 2, 2019

So, organizations need a cohesive strategy which aligns all methods of communication to ensure consistency (Porter, 2001). 2001, Strategy and the Internet. Harvard business Review , (2001): 63-78. The five competitive forces that shape strategy. After all, the Internet can break a business very quickly!

Marketing 59

Marketing Advertising Data-driven Strategy 59

Domino Data Lab

APRIL 3, 2019

The top three items are essentially “the devil you know” for firms which want to invest in data science: data platform, integration, data prep. Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. Rinse, lather, repeat.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Domino Data Lab

JANUARY 6, 2019

In Paco Nathan ‘s latest column, he explores the theme of “learning data science” by diving into education programs, learning materials, educational approaches, as well as perceptions about education. He is also the Co-Chair of the upcoming Data Science Leaders Summit, Rev. Learning Data Science.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

The Unofficial Google Data Science Blog

JUNE 30, 2016

Random forest with default R tuning parameters (Breiman, 2001). 2001): 5-32. Springer, Berlin: Springer series in statistics, (2001) Hahn, Jinyong. "On Demystifying double robustness: A comparison of alternative strategies for estimating a population mean from incomplete data." Statistical science (2007): 523-539.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Domino Data Lab

MAY 20, 2021

The problem with this approach is that in highly imbalanced sets it can easily lead to a situation where most of the data has to be discarded, and it has been firmly established that when it comes to machine learning data should not be easily thrown out (Banko and Brill, 2001; Halevy et al., In their 2002 paper Chawla et al.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136