datapine

JANUARY 6, 2022

In fact, a Digital Universe study found that the total data supply in 2012 was 2.8 More often than not, it involves the use of statistical modeling such as standard deviation, mean and median. Let’s quickly review the most common statistical terms: Mean: a mean represents a numerical average for a set of responses.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

datapine

SEPTEMBER 27, 2022

This piece, published in 2012, offers a step-to-step guide on everything related to SQL. Your Chance: Try a professional SQL BI software 14-days for free Explore our free trial and benefit from fast & efficient data quering today! Originally published in 2018, the book has a second edition that was released in January of 2022.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

IBM Big Data Hub

JANUARY 10, 2023

The advantage to NPS clients is that they can store infrequently used data in a cost-effective manner without having to move that data into a physical data warehouse table. This provides a cost-effective data analysis solution for clients that have frequently accessed data that they wish to combine with older, less frequently accessed data.

Data Warehouse 52

Data Warehouse Cost-Benefit Statistics Data Processing 52

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. As with any type of statistical model, data is key and GIGO (“Garbage In, Garbage Out”) principle definitely applies. What is MMM? Data Requirements.

Machine Learning 52

Machine Learning Sales Measurement ROI 52

The Unofficial Google Data Science Blog

MARCH 31, 2016

We often use statistical models to summarize the variation in our data, and random effects models are well suited for this — they are a form of ANOVA after all. In the context of prediction problems, another benefit is that the models produce an estimate of the uncertainty in their predictions: the predictive posterior distribution.

Modeling 40

Modeling Statistics Advertising Testing 40

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. Citing Tinder as a major example, Kyle explained how it constantly uses data to enhance users’ interactions and calibrate the user experience.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

CIO Business Intelligence

FEBRUARY 3, 2023

RPA benefits RPA is also a relatively simple way to integrate AI algorithms into old applications. The biggest benefit, however, may be how RPA tools are “programmed,” or “trained” — a process by which the platforms’ robots “learn” watching business users click away. What is RPA?

Data-driven 145

Data-driven Interactive Enterprise Statistics 145