Occam's Razor

SEPTEMBER 29, 2009

One of the ultimate excuses for not measuring impact of Marketing campaigns is: "Oh, that's just a branding campaign." If supported by "data" then it tends to be of the most fragile kind (usually the the fact that the CEO saw it during the Super Bowl and felt happy suffices as actionable data).

Measurement 128

Measurement Metrics Analytics Marketing 128

Occam's Razor

APRIL 8, 2013

To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. That metric is tied to a KPI.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

Sisense

JANUARY 21, 2020

Everyone wants to get more out of their data, but how exactly to do that can leave you scratching your head. One of the simplest ways to start exploring your data is to aggregate the metrics you are interested in by their relevant dimensions. How can good data lead to faulty conclusions? How does this happen? 9/10 = 90%.

Testing 104

Testing Risk Data-driven Statistics 104

Smart Data Collective

APRIL 5, 2019

Big data is playing a more important role than ever in fine-tuning the relationship between customers and brands. The Complex Role Between Big Data and Social Listening Tools. They must amass data on their customers to get a better understanding of their needs and preferences. And that’s where social listening comes into play.

Big Data 79

Big Data Interactive Data-driven Metrics 79

John Wheeler

NOVEMBER 25, 2020

The shift in the IRM buyers from IT leaders to business leaders is being driven by an increasing need to better understand the tactical view of technology risks in a strategic business context. Offer capabilities to analyze business impacts at all levels of the organization by linking both strategic and tactical risk metrics.

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

Peter James Thomas

AUGUST 12, 2018

These normally appear at the end of an article, but it seemed to make sense to start with them in this case: Recently I published Building Momentum – How to begin becoming a Data-driven Organisation. A number of factors can play into the accuracy of data capture. Honesty of Data that is captured. Timing issues with Data.

Metrics 49

Metrics Statistics Data Quality Measurement 49

Domino Data Lab

MAY 20, 2021

Further, imbalanced data exacerbates problems arising from the curse of dimensionality often found in such biological data. This renders measures like classification accuracy meaningless. def get_neigbours(M, k): nn = NearestNeighbors(n_neighbors=k+1, metric="euclidean").fit(M) 1988), E-state data (Hall et al.,

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136