Alation

FEBRUARY 20, 2020

You say sales, and the dataset says rev_avg_eur. Metrics and statistics are wonderful, but we need to surround data with more context and lower the costs of using data. It takes time to adjust. So, what does this have to do with data? Data doesn’t really speak your language. You say France, and the data set says CTY_CD: 4.

Big Data 52

Big Data Data-driven Statistics Metrics 52

Sisense

JUNE 17, 2021

Marketing has many goals: to build creative, inspiring work that burrows its way into the minds and memories of consumers; to generate sales; to increase awareness of a company or product … the list goes on and on. Tip: Measure the metrics that matter. Think consumers are just mindlessly buying products? (Now,

Marketing 52

Marketing Interactive Metrics Advertising 52

Occam's Razor

JANUARY 2, 2013

Multi-channel attribution was the flavor of the month for every month in 2012. And just as in 2012 magic pills will be scarce, FUD will be plentiful, and vendors will promise the moon. On top of the graph click on Select A Metric and choose Goal Conversion Rate. Put them on sale! MCF Assisted Conversions Report.

Strategy 159

Strategy Analytics Reporting Metrics 159

The Unofficial Google Data Science Blog

JUNE 30, 2016

You are in charge of assessing whether the campaign had an impact on sales. In fact, Hainmueller (2012) show that entropy balancing is equivalent to estimating the weights as a log-linear model of the covariate functions $c_j(X)$. 2012): 25-46. The methods used are: Covariate balance: EB. Econometrica (1998): 315-331.

Statistics 44

Statistics Optimization Modeling Experimentation 44

DataRobot Blog

APRIL 4, 2022

MMM stands for Marketing Mix Model and it is one of the oldest and most well-established techniques to measure the sales impact of marketing activity statistically. MMM allows you to isolate incremental sales contributions coming from each of the marketing channels. What is MMM? What cannot be measured?

Machine Learning 52

Machine Learning Sales Measurement ROI 52

Sisense

MAY 26, 2020

Amit Bendov was appointed CEO in July 2012. Scott enables our data-driven culture by using insights to make actionable decisions by ongoing review of Marketing, Sales, and Customer Success performance metrics. Sisense was founded in 2004 in Tel Aviv by Elad Israeli, Eldad Farkash, Aviad Harell, Guy Boyangu, and Adi Azaria.

Unstructured Data 98

Unstructured Data Big Data Testing Machine Learning 98

The Unofficial Google Data Science Blog

MAY 31, 2016

Observational data such as paid clicks, website visits, or sales can be stored and analyzed easily. 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. This assumption allows us to estimate the effect of the ad spend on sales.

Advertising 42

Advertising Testing Sales Statistics 42

Sisense

DECEMBER 11, 2019

Data teams have become the key to many organizations’ success , and the transformation of data into insights is now a critical business process, as Sisense Israel Sales Country Manager, Davidi Boyarksi, explained in his introduction. Kyle Dempsey, Senior Sales Engineer, Sisense. From a startup in 2012, it is now valued at $3.2

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Occam's Razor

SEPTEMBER 21, 2015

Second, between 2012 and 2013. You are comparing 2012 and 2013, add a row of data at the top that shows your computation of the size of the opportunity for 2014. With the original visual, you don't quite communicate that in the worst case scenario the Store is making an additional $20 mil in offline sales.

Visualization 160

Visualization Key Performance Indicator Slice and Dice Strategy 160

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

With more features come more potential post hoc hypotheses about what is driving metrics of interest, and more opportunity for exploratory analysis. Looking at metrics of interest computed over subpopulations of large data sets, then trying to make sense of those differences, is an often recommended practice (even on this very blog).

Experimentation 61

Experimentation Testing Statistics Metrics 61

Domino Data Lab

SEPTEMBER 9, 2019

Typically, there are contracts (sales contracts, work agreements, partnerships), there are invoices, there are insurance policies, there are regulations and other laws, and so on. Let’s analyze text data from the party conventions during the 2012 US Presidential elections. Usually it’s human-generated text, but not always.

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110