Smarten

MAY 18, 2022

When a business sets goals and establishes metrics to determine the value of an analytical solution and a business user analytics initiative within the enterprise, the management team often fails to focus on the more subtle, but powerful, concept of efficacy. Which sales representative sold the most pancake mix during April 2015 to May 2019?

Data-driven 69

Data-driven Sales Metrics Analytics 69

Sisense

FEBRUARY 24, 2021

But that number rose sharply afterwards, with the team noting there were over 1,000 people in this role by 2015. This could be because that department is testing out an idea or may just have a specific niche use case for its area. Clearly, data is becoming more important to organizations.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69

Insight

JUNE 10, 2019

Photo by Wayne Chan on Unsplash The race to the future I don’t know about you, but I distinctly remember a promise from 1989 that flying cars would be commonplace by 2015. Transfer learning applied to ResNet50 CNN Training results The final accuracy of the model, when tested on a subset of the training data, was 97%.

Breakeven 69

Breakeven Modeling Testing Marketing 69

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

JULY 26, 2023

The vector engine supports the popular distance metrics such as Euclidean, cosine similarity, and dot product, and can accommodate 16,000 dimensions, making it well-suited to support a wide range of foundational and other AI/ML models. To create the vector index, you must define the vector field name, dimensions, and the distance metric.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

The Unofficial Google Data Science Blog

MAY 31, 2016

Similarly, we could test the effectiveness of a search ad compared to showing only organic search results. 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. They are non-overlapping geo-targetable regions.

Advertising 43

Advertising Testing Sales Statistics 43

Cloudera

AUGUST 6, 2018

For example, Crisis Text Line , which provides online support to people in crisis, received a total of 8 m illion text messages in the first two years of its existence between 2013 and 2015. Fox Foundation is testing a watch-type wearable device in Australia to continuously monitor the symptoms of patients with Parkinson’s disease.

Machine Learning 50

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

CIO Business Intelligence

MAY 17, 2022

Around 2015, Capital One went to AWS re:Invent and set forth our aspirational goal to modernize our entire technology infrastructure. Specifically for our customer data platform, there are two metrics that we’ve actively tracked: recovery point and recovery time objectives. The biggest thing we did was data testing.

ROI 52

ROI Risk Marketing Modeling 52

IBM Big Data Hub

AUGUST 11, 2023

These insights can help drive decisions in business, and advance the design and testing of applications. Improve models with automation—In this stage, similar to the error process above, teams use established training data to automate improvement of the model being tested.

Data Science 53

Data Science Machine Learning Cost-Benefit Deep Learning 53

AWS Big Data

FEBRUARY 1, 2023

AWS Glue Data Catalog The Data Catalog helped us maintain the catalog as an index to the data’s location, schema, and runtime metrics in Amazon S3. This will make launching and testing models simpler. This helped us automatically crawl the data from Amazon S3 and generate the schema and tables. In his spare time, he enjoys hiking.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

The Unofficial Google Data Science Blog

JUNE 30, 2016

A naïve way to solve this problem would be to compare the proportion of buyers between the exposed and unexposed groups, using a simple test for equality of means. See Hainmueller (2012), and the work of Zhao & Percival (2015) for more details on how this optimization problem is solved, and for further discussion.

Statistics 45

Statistics Optimization Modeling Experimentation 45

Occam's Razor

SEPTEMBER 15, 2014

They will need two different implementations, it is quite likely that you will end up with two sets of metrics (more people focused for mobile apps, more visit focused for sites). Mobile content consumption, behavior along key metrics (time, bounces etc.) If you have ecommerce you will see key metrics related to money making.

Metrics 143

Metrics Reporting Analytics Marketing 143

Occam's Razor

JANUARY 9, 2012

If you are doing lame stuff, why try harder in an analytics context by asking for Economic Value or Visitor Loyalty or Conversation Rate or a thousand other super powerful and insightful metrics ? Allocate some of your aforementioned 15% budget to experimentation and testing. Fill it with the best web metrics to measure success.

Marketing 142

Marketing B2B Measurement Risk 142

Occam's Razor

FEBRUARY 9, 2015

. + Traffic Trends Key Metrics Analysis. Onsite Behavior Key Metrics Analysis. I tend to use Hitwise a lot less, or not at all, because it is a very hard to use, it is slow, the UX/UI, metrics and reports have not really evolved over the years. Traffic Trends Key Metrics Analysis. It is 2015.

Metrics 156

Metrics Reporting IT Advertising 156

Occam's Razor

DECEMBER 3, 2012

And here's the test to apply to your brand: Would you want your brand's posts to in your own newsfeed every day? Another test to apply: How are you doing in terms of Conversation Rate, Amplification Rate, Applause Rate ? Use those metrics to optimize your social existence. You are ready for 2015! No: BUY ME!

Marketing 149

Marketing Advertising Strategy Optimization 149

Domino Data Lab

AUGUST 1, 2021

Because of its architecture, intrinsically explainable ANNs can be optimised not just on its prediction performance, but also on its explainability metric. After forming the X and y variables, we split the data into training and test sets. 2015) for additional details. random_state=seed) y_train.value_counts(). See Wei et al.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Domino Data Lab

JULY 1, 2021

from keras import optimizers from keras.models import Model from keras.models import Input from keras_contrib.layers import CRF from keras_contrib import losses from keras_contrib import metrics. Number of sentences in the training dataset: 43163 Number of sentences in the test dataset : 4796. Evaluation and testing. verbose=2).

Modeling 111

Modeling Statistics Testing Metrics 111

Occam's Razor

JANUARY 31, 2017

There is only one simple message above, and just two metrics that matter. The latter is especially important because it directly ties to what content the ads/marketing should contain, what the tone and texture should be of the landing page/app experience, and what we'll use to measure success (S, T, D, C metrics).

Visualization 149

Visualization IT Strategy Key Performance Indicator 149

IBM Big Data Hub

FEBRUARY 22, 2024

Reliable “The Department’s AI capabilities will have explicit, well-defined uses, and the safety, security, and effectiveness of such capabilities will be subject to testing and assurance within those defined uses across their entire life cycles.” This is misguided. But it is well worth the effort.

Metadata 91

Metadata Measurement Risk Modeling 91

datapine

SEPTEMBER 4, 2023

Your Chance: Want to test a powerful data visualization software? For example, the average price of a Big Mac in the Euro area in July 2015 was $4.05 Your Chance: Want to test a powerful data visualization software? Back in 2015, when around 46.3 Enjoy a 14-days free trial and start generating stunning visuals today!

Interactive 264

Interactive Visualization Cost-Benefit Dashboards 264

AWS Big Data

NOVEMBER 13, 2024

The first use case helps predict test results during the car assembly process. The second use case enables the creation of reports containing shop floor key metrics for different management levels. This growth is measured by metrics such as number of data products, number of use cases onboarded into the solution, and number of users.

Metadata 105

Metadata Data Quality Digital Transformation Data-driven 105

Timo Elliott

NOVEMBER 14, 2024

Real-World Examples of Greenwashing Some of the most notorious greenwashing scandals illustrate both deliberate deception and regulatory gray areas: Volkswagen’s Dieselgate: The automaker was fined over $25 billion in 2015 for equipping vehicles with devices that manipulated emissions tests.

Advertising 59

Advertising Measurement Cost-Benefit Metrics 59