Depict Data Studio

APRIL 10, 2023

and implications of findings) than in statistical significance. Surrounding myself with a variety of chart types, all of which have been used in different reports and for different groups of people, helps me create brand new charts easily. Put your easiest-to-follow chart in your final presentation or report.

Visualization 105

Visualization Dashboards Testing Reporting 105

Domino Data Lab

APRIL 21, 2021

Auxiliary techniques like relying on card holders to report fraudulent transactions have unfortunately proven to be ineffective [1]. In contrast, the decision tree classifies observations based on attribute splits learned from the statistical properties of the training data. from sklearn import metrics. describe().

Statistics 69

Statistics Machine Learning Modeling Metrics 69

Alation

FEBRUARY 20, 2020

McKinsey , in their broadly read Big Data report, estimates that there will be only 2.5 Metrics and statistics are wonderful, but we need to surround data with more context and lower the costs of using data. million data-literate professionals in the United States in 2018 — less than 1% of the projected population.

Big Data 52

Big Data Data-driven Statistics Metrics 52

Sisense

DECEMBER 11, 2019

He outlined how critical measurable results are to help VCs make major investment decisions — metrics such as revenue, net vs gross earnings, sales , costs and projections, and more. From a startup in 2012, it is now valued at $3.2 Kyle said: We empower data analysts to create more business value than any other BI platform.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

1]" Statistics, as a discipline, was largely developed in a small data world. With more features come more potential post hoc hypotheses about what is driving metrics of interest, and more opportunity for exploratory analysis. Data was expensive to gather, and therefore decisions to collect data were generally well-considered.

Experimentation 61

Experimentation Testing Statistics Metrics 61

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. I recommend running a report like this one: I'm using www.compete.com above. Step 3: Click Search.

Measurement 128

Measurement Analytics Advertising Marketing 128

Domino Data Lab

MARCH 3, 2019

We had big surprises at several turns and have subsequently published a series of reports. Let’s look through some of the insights gained from those reports. Seriously, this entire article merely skims the surface of those reports. What metrics are used to evaluate success? Meanwhile, the landscape is evolving rapidly.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

The Unofficial Google Data Science Blog

MAY 31, 2016

This means it is possible to specify exactly in which geos an ad campaign will be served – and to observe the ad spend and the response metric at the geo level. In other words, iROAS is the slope of a curve of the response metric plotted against the underlying advertising spend. They are non-overlapping geo-targetable regions.

Advertising 42

Advertising Testing Sales Statistics 42

Occam's Razor

SEPTEMBER 21, 2015

The difference between a Reporting Squirrel and Analysis Ninja? Do you see how far away a Reporting Squirrel's job is from that of an Analysis Ninja? We send out our multi-tab spreadsheets, our best Google Analytics custom reports , our great dashboards full of data , and more to the tactical layer of data clients.

Visualization 160

Visualization Key Performance Indicator Slice and Dice Strategy 160

Domino Data Lab

JULY 22, 2019

He was saying this doesn’t belong just in statistics. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. I went to a meeting at Starbucks with the founder of Alation right before they launched in 2012, drawing on the proverbial back-of-the-napkin.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109