Smart Data Collective

APRIL 5, 2019

For example, it hones in on metrics in social media like retweets, engagement rates, mention, and story completions. Its goal was to “turn anonymous social media audiences into qualified prospects for sales and marketing” and the company raised $300,000 from a VC firm in 2012.

Big Data 100

Big Data Interactive Data-driven Machine Learning 100

Occam's Razor

SEPTEMBER 4, 2012

Measurement? It would not be my blog if there was not at least a word about measurement. Everything described above is measureable. You can use your standard web analytics tool to measure customer behavior on your mobile-friendly website. Carpe Diem! Closing Thoughts.

Marketing 146

Marketing Data mining Measurement Strategy 146

AWS Big Data

APRIL 3, 2024

Many organizations already use AWS Glue Data Quality to define and enforce data quality rules on their data, validate data against predefined rules , track data quality metrics, and monitor data quality over time using artificial intelligence (AI). The metrics are saved in Amazon S3 to have a persistent output. onData(df).useRepository(metricsRepository).addCheck(

Data Quality 118

Data Quality Visualization Metadata Metrics 118

The Unofficial Google Data Science Blog

AUGUST 27, 2019

Of course, any mistakes by the reviewers would propagate to the accuracy of the metrics, and the metrics calculation should take into account human errors. If we could separate bad videos from good videos perfectly, we could simply calculate the metrics directly without sampling. The missing verdicts create two problems.

Metrics 98

Metrics Statistics Uncertainty Optimization 98

IBM Big Data Hub

AUGUST 9, 2023

Even a simple web application can benefit from observability by implementing basic logging and metrics. In such scenarios, observability becomes crucial to trace requests across different services, measure latency and pinpoint performance bottlenecks. As their systems grow in complexity, they face new challenges and potential failures.

Metrics 61

Metrics Interactive Data-driven Sales 61

AWS Big Data

AUGUST 7, 2023

The data contains measurements of electric power consumption in different households for the year 2014. The OBJECTIVE parameter specifies a metric to minimize or maximize the objective of a job. To use Forecast, you need to have the AmazonForecastFullAccess policy. Using Query Editor V2, connect to your cluster and open a new notebook.

Forecasting 98

Forecasting Data Warehouse Machine Learning Modeling 98

Sisense

DECEMBER 11, 2019

The challenge is to do it right, and a crucial way to achieve it is with decisions based on data and analysis that drive measurable business results. 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.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Domino Data Lab

JUNE 2, 2019

I recall a “Data Drinkup Group” gathering at a pub in Palo Alto, circa 2012, where I overheard Pete Skomoroch talking with other data scientists about Kahneman’s work. The most poignant for me was a simple approach for measuring noise within an organization. Measure how these decisions vary across your population.

Data Science 110

Data Science Data-driven Machine Learning Modeling 110

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

AWS Big Data

JANUARY 22, 2024

They classified the metrics and indicators in the following categories: Data usage – A clear understanding of who is consuming what data source, materialized with a mapping of consumers and producers. The success of the implementation meant assessing various aspects of the data infrastructure, data management, and business outcomes.

Data-driven 116

Data-driven Advertising Metadata Data Architecture 116

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 50

Reporting Slice and Dice Insurance Metrics 50

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. It is pretty obvious to a data scientist that the only way one can measure the effect of an event is by knowing which events are happening at what time. What is MMM?

Machine Learning 52

Machine Learning Sales Measurement ROI 52

Alation

MARCH 8, 2022

Our CEO provides quarterly updates on how we are measuring against our goals. While we actively track all demographics of our employees, in looking simply at the metric of employees identifying themselves as male or female genders, the percent of identifying women jumped from 13% in 2020 to nearly 30% in 2021.

Sales 52

Sales Data Processing Finance Metrics 52

Cloudera

AUGUST 6, 2018

This is important because unlike diabetes or high blood pressure we don’t yet have clear metrics for Parkinson’s. For example, researchers from Berkeley used mobile data to predict poverty and wealth of individuals or microregions in Rwanda at a time when measuring poverty in Africa remains a challenge.

Machine Learning 50

Machine Learning Internet of Things Data-driven Cost-Benefit 50

The Unofficial Google Data Science Blog

MAY 31, 2016

It is important that we can measure the effect of these offline conversions as well. Panel studies make it possible to measure user behavior along with the exposure to ads and other online elements. Let's take a look at larger groups of individuals whose aggregate behavior we can measure. days or weeks).

Advertising 43

Advertising Testing Sales Statistics 43

The Unofficial Google Data Science Blog

JUNE 30, 2016

A naïve comparison of the exposed and unexposed groups would produce an overly optimistic measurement of the effect of the ad, since the exposed group has a higher baseline likelihood of purchasing a pickup truck. This is often referred to as the positivity assumption. The methods used are: Covariate balance: EB.

Statistics 45

Statistics Optimization Modeling Experimentation 45

O'Reilly on Data

APRIL 23, 2024

By the end of 2012, it was up to 82%. To achieve prosocial outcomes, AI model and application developers need to define the metrics that explicitly aim for those outcomes and then measure and report the extent to which they have been achieved. The market was maturing.

Advertising 338

Advertising Cost-Benefit Marketing Risk 338

Occam's Razor

DECEMBER 3, 2012

Use those metrics to optimize your social existence. If your company is already good at TV/Radio/Print, you have all the raw ingredients to create a powerful (and measureable!) Bonus: Facebook Advertising / Marketing: Best Metrics, ROI, Business Value. Do you have a 2009, 2012, 2015 mobile strategy? display strategy.

Marketing 149

Marketing Advertising Strategy Optimization 149

datapine

MAY 17, 2021

Without a doubt, the best way to drive maximum value from the metrics, insights, and information is through something called data discovery. Studies say that more data has been generated in the last two years than in the entire history before and that since 2012 the industry has created around 13 million jobs around the world.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

Ontotext

MAY 19, 2021

This lack of transparency has also made the crucial task of measuring scientific impact extremely difficult despite it being important for the improvement of the ‘State of the Art’ and for more accurately evaluating an individual researcher’s impact in their field and more efficient allocation of funding for promising research.

Publishing 72

Publishing Measurement Data-driven Metrics 72

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

Tip: Measure the metrics that matter. But when we peel back the intention of the ad, those vanity metrics don’t matter, because in the end, the ad didn’t raise awareness within the defined target audience, and it didn’t prevent accidents within the time frame that was scoped. Bunny ears campaign flops.

Marketing 52

Marketing Interactive Metrics Advertising 52