IBM Big Data Hub

AUGUST 9, 2023

Even a simple web application can benefit from observability by implementing basic logging and metrics. By using real-time monitoring to see relevant events and metrics during development and testing, they can spot problems early, leading to more robust and reliable applications.

Metrics 61

Metrics Interactive Data-driven Sales 61

AWS Big Data

AUGUST 7, 2023

The OBJECTIVE parameter specifies a metric to minimize or maximize the objective of a job. When you use forecasting in Amazon Redshift, Redshift ML uses Forecast to train the forecasting model and to generate forecasts. To use Forecast, you need to have the AmazonForecastFullAccess policy. For more details, refer to AutoMLJobObjective.

Forecasting 98

Forecasting Data Warehouse Machine Learning Modeling 98

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

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

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

Alation

MARCH 8, 2022

Tassia Reinhold, Mgr, Regional Sales: After almost 6 years at one of the world’s largest tech companies, I was ready for a change. Today, as a manager, I lead a sales team. Since launching in 2012, the company has seen explosive growth, and our data intelligence platform is used by more than 50 Fortune 100 companies today.

Sales 52

Sales Data Processing Finance Metrics 52

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 43

Advertising Testing Sales Statistics 43

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 45

Statistics Optimization Modeling Experimentation 45

O'Reilly on Data

APRIL 23, 2024

By the end of 2012, it was up to 82%. There is little space left for organic results at the top of the page, the real estate that drives most sales. The market was maturing. From 2000 to 2011, the percentage of US adults using the internet had grown from about 60% to nearly 80%. It appears to have worked—for now.

Advertising 338

Advertising Cost-Benefit Marketing Risk 338

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 161

Visualization Key Performance Indicator Slice and Dice Strategy 161

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 62

Experimentation Testing Statistics Metrics 62

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

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

AWS Big Data

MARCH 21, 2025

To establish trust between the data producers and data consumers, SageMaker Catalog also integrates the data quality metrics and data lineage events to track and drive transparency in data pipelines. To get a unified view of the customer sales transactions for active products, the data analysts will use Amazon Athena. glue_db_ "."customer"

Data Warehouse 111

Data Warehouse Metadata Publishing Sales 111