Occam's Razor

MAY 14, 2012

Bonus One: Read: Brand Measurement: Analytics & Metrics for Branding Campaigns ]. There are many different tools, both online and offline, that measure the elusive metric called brand strength. The tussle between Wal-Mart and Target is interesting. Amazon is an interesting example.

Measurement 128

Measurement Analytics Advertising Marketing 128

Smart Data Collective

APRIL 5, 2019

For example, it hones in on metrics in social media like retweets, engagement rates, mention, and story completions. For example, the company Tweetdeck was ahead of their game when they recognized the need for businesses to engage with their customers back in 2009. Social media monitoring involves collecting data and is quantifiable.

Big Data 79

Big Data Interactive Data-driven Metrics 79

Sisense

JANUARY 21, 2020

One of the simplest ways to start exploring your data is to aggregate the metrics you are interested in by their relevant dimensions. In 2009, researchers suggested that Simpson’s paradox may occur more often than commonly thought. Our BI Best Practices demystify the analytics world and empower you with actionable how-to guidance.

Testing 104

Testing Risk Data-driven Statistics 104

Peter James Thomas

AUGUST 12, 2018

Pertinence and fidelity of metrics developed from Data. Metrics are seldom reliant on just one data element, but are often rather combinations. There are often compromises to be made in defining metrics. Again see Using BI to drive improvements in data quality for further details. Some of these are based on the data available.

Metrics 49

Metrics Statistics Data Quality Measurement 49

Domino Data Lab

MAY 20, 2021

Working with highly imbalanced data can be problematic in several aspects: Distorted performance metrics — In a highly imbalanced dataset, say a binary dataset with a class ratio of 98:2, an algorithm that always predicts the majority class and completely ignores the minority class will still be 98% correct. return synthetic. link] Hall, L.,

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Occam's Razor

DECEMBER 3, 2012

It is not just what you do to attract traffic (what most people think of as marketing and advertising), but also what types of experiences you create (something people rarely think is marketing) and how good you are at delivering for where you should be in 2013 rather than 2009 (only the rarest of marketers think with this lens on).

Marketing 147

Marketing Advertising Strategy Optimization 147

Occam's Razor

AUGUST 9, 2016

This is all the way from Aug 2009: Web Analytics Career Advice: Play In The Real World! Along the way I'll share some of my favourite metrics and analytics best practices that should accelerate your path to becoming a true Analysis Ninja. At this point you'll be a little confused about some metric or the other.

Analytics 109

Analytics Metrics Reporting Strategy 109

John Wheeler

NOVEMBER 25, 2020

Offer capabilities to analyze business impacts at all levels of the organization by linking both strategic and tactical risk metrics. Unlike the 2008-2009 Great Recession that was financially-centered in its origin and resolution, the COVID-19 crisis is operationally-centered. The current crisis is operationally-centered.

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

IBM Big Data Hub

JULY 6, 2023

These new reporting standards represent an evolution from the voluntary guidelines first issued in 2009 by India’s Ministry of Corporate Affairs, which were further refined in the Business Responsibility Report (BRR) of 2012. What are the three main disclosure areas under the BRSR?

Reporting 55

Reporting Slice and Dice Insurance Metrics 55

Domino Data Lab

APRIL 21, 2021

from sklearn import metrics. With this criterion in mind, we can define a distance metric to the top left corner of the curve and find a threshold that minimises it. The class label is titled Class where 0 denotes a genuine transaction and 1 signifies fraud. from imblearn.over_sampling import SMOTE. from datetime import datetime.

Statistics 69

Statistics Machine Learning Modeling Metrics 69

Occam's Razor

JULY 26, 2010

PALM: People Against Lonely Metrics]. So why not your metrics? This is the problem with lonely metrics. Why not find a BFF for your lonely metric and present something like this. I found a "you complete me" for my Visits metric, Bounce Rate. Or an actual outcome metric. 2: Join the PALM club.

Metrics 96

Metrics Measurement Dashboards Reporting 96

Occam's Razor

FEBRUARY 22, 2010

Check the definitions of various metrics. For example, if you see a metric called Cookies, find out exactly what that metric means before you use the data. Hybrid Data Bottom-line: I love customers, I love Task Completion Rate as a powerful metric, I love VOC. numbers for various industries.

Metrics 123

Metrics Advertising Reporting Software 123

Occam's Razor

SEPTEMBER 4, 2012

2009 was the year of mobile. If your company has a non-stinky mobile website and mobile app then congratulations: you have successfully solved the problem of 2009! If you are in the travel business, please consider meeting the lowest bar God could have created: Deliver a smart phone – and tablet friendly – website.

Marketing 144

Marketing Data mining Measurement Strategy 144

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

As a result, selecting knots according to the quantiles of the input data (or even linearly across the domain), and then steadily increasing their number as long as the metrics improve works well in practice. More knots make the learned feature transformation smoother and more capable of approximating any monotonic function. and Gupta, M.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

Domino Data Lab

MAY 8, 2019

If your “performance” metrics are focused on predictive power, then you’ll probably end up with more complex models, and consequently less interpretable ones. How easy would it be for nonexperts to train the model? In a rush to gain predictive power rapidly – that is, less expensively – the results will tend toward more complex ML models.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Peter James Thomas

OCTOBER 1, 2019

The single red line shows the actual value of some metric up to the middle section of the chart. The inimitable Randall Munroe of xkcd.com [7] explains this pithility as follows: | © Randall Munroe, xkcd.com (2009) | Excerpted from: Extrapolating |. Thereafter it is the central prediction of a range of possible values.

Sales 61

Sales Measurement Statistics Data Architecture 61

Domino Data Lab

AUGUST 1, 2021

Because of its architecture, intrinsically explainable ANNs can be optimised not just on its prediction performance, but also on its explainability metric. PDPs for the bicycle count prediction model (Molnar, 2009). Courville, Pascal Vincent, Visualizing Higher-Layer Features of a Deep Network, 2009. Ribeiro, M. Guestrin, C.,

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

datapine

JANUARY 31, 2022

Chantrelle Nielsen director of research and strategy for Workplace analytics said: “companies must take these metrics and direct them thoughtfully towards the design of office spaces that maximize face time over just screen time.” This company was originally founded in 2009 as a black car-hailing service in San Francisco.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Alation

JUNE 14, 2022

The announcement was made at Snowflake Summit this week (visit us at booth 2009!). For the second year in a row, Snowflake has named Alation its Data Governance Partner of the Year. And we’re just as proud, excited, and thankful as when we received the honor last year.

Data Governance 52

Data Governance Insurance Digital Transformation Data-driven 52