Cloudera

JUNE 28, 2022

This blog will be published in two parts. A dashboard feeds from the Kudu database to show fraud summary statistics. In this blog we showed how Cloudera DataFlow makes it easy to create, test, and deploy data pipelines in the cloud. This is what we call the first-mile problem. Acquiring with Cloudera DataFlow.

Dashboards 86

Dashboards Machine Learning Statistics KPI 86

datapine

FEBRUARY 9, 2024

4) How to Select Your KPIs 5) Avoid These KPI Mistakes 6) How To Choose A KPI Management Solution 7) KPI Management Examples Fact: 100% of statistics strategically placed at the top of blog posts are a direct result of people studying the dynamics of Key Performance Indicators, or KPIs. 3) What Are KPI Best Practices?

KPI 221

KPI Management Key Performance Indicator Measurement 221

IBM Big Data Hub

AUGUST 11, 2023

Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. These insights can help drive decisions in business, and advance the design and testing of applications.

Data Science 57

Data Science Machine Learning Cost-Benefit Deep Learning 57

Insight

MARCH 12, 2020

There was only one problem: literary agents, the gatekeepers of the publishing industry, kept rejecting the book?—?often Galbraith eventually opted to publish Cuckoo’s Calling through an acquaintance of sorts. but the publishing industry failed to see it. often without even looking at it. In other words, Galbraith had chops?—?but

Modeling 59

Modeling Metadata Publishing Sales 59

CDW Research Hub

AUGUST 19, 2019

Will it include a readout summary of volumes of orders and customers, distilled application monitoring metrics, review and signoff of marketing content? Be sure to include it in a published rotation schedule with a backup and management escalation phone tree. What about external pen testing for potential threats and vulnerabilities?

Testing 49

Testing Optimization Data Processing Strategy 49

Smarten

NOVEMBER 22, 2017

These tools allow the enterprise to establish and monitor key metrics and to objectively assess results. Your business users can perform advanced analytics, using sophisticated tools in an easy-to-use, drag and drop interface, with no advanced skill requirement for statistical analysis, algorithms or technical knowledge.

Analytics 40

Analytics IT Business Intelligence Visualization 40

Sisense

MARCH 4, 2019

In order to do this, the system first extracts statistical values (data distribution) from the raw data. Once the training is finalized, we use a set of accuracy metrics to evaluate the model’s approximation. We use Normalized Root Mean Squared Error (NRMSE) to measure the model accuracy on a hold out testing set of queries.

Big Data 68

Big Data Data Analytics Analytics IoT 68

The Unofficial Google Data Science Blog

SEPTEMBER 23, 2015

by KAY BRODERSEN For the first time in the history of statistics, recent innovations in big data might allow us to estimate fine-grained causal effects, automatically and at scale. How can we predict the benefits the idea's realization would create for users, publishers, developers, or advertisers? Is a randomized experiment possible?

Advertising 47

Advertising Statistics Big Data Modeling 47

O'Reilly on Data

MAY 27, 2020

Under school district policy, each of Audrey’s eleven- and twelve-year old students is tested at least three times a year to determine his or her Lexile, a number between 200 and 1,700 that reflects how well the student can read. They test each student’s grasp of a particular sentence or paragraph—but not of a whole story.

Risk 355

Risk Testing Measurement Reporting 355

DataKitchen

OCTOBER 11, 2021

There are no automated tests , so errors frequently pass through the pipeline. There is no process to spin up an isolated dev environment to quickly add a feature, test it with actual data and deploy it to production. The automated orchestration published the data to an AWS S3 Data Lake. Adding Tests to Reduce Stress.

Testing 157

Testing Metadata Dashboards Statistics 157

datapine

SEPTEMBER 6, 2022

A content dashboard is an analytical tool that contains critical performance metrics to assess the success of all content-related initiatives. This most insightful of Google Analytics dashboards provide the perfect mix between overview metrics and more detailed insights. Let’s look at some of these metrics in more detail below.

Dashboards 179

Dashboards Reporting ROI Metrics 179

Occam's Razor

OCTOBER 4, 2010

Ask a famous blogger, a published author, a random twitterer or your mom how to succeed in web analytics, or how not to be a Reporting Squirrel. We read books / blogs on Metrics & KPIs and we think we know what to do for an ecommerce site or a blog or support site etc and we start reporting what the blog / book recommended.

Reporting 119

Reporting Metrics Sales Strategy 119

AWS Big Data

APRIL 28, 2023

For example, you can configure an Amazon EventBridge rule to invoke an AWS Lambda function to publish CloudWatch metrics every time AWS Glue jobs finish. Each datapoint represents DPUHours per individual job run, so valid statistics for the CloudWatch metrics is SUM. You can review and customize it to suit your needs.

Optimization 90

Optimization Metrics Interactive Data Integration 90

Insight

JUNE 8, 2020

Mayhem is a gaming analytics company that offers gamers a platform to hold tournaments and see their own statistics inside each game. CloudWatch cannot visualize detailed metrics The most critical issue with CloudWatch is the low refresh rate the default RDS monitoring metrics have?—?they The enhanced metrics In CloudWatch.

Metrics 65

Metrics Testing Dashboards Visualization 65

Occam's Razor

MAY 4, 2010

They expose a person's critical thinking ability (something I highly recommend you test when you hire web analysts: Interviewing Tip: Stress Test Critical Thinking. If you express your opinion then present it in the from of a hypothesis that can be tested. That is why I love asking open ended questions!

Testing 112

Testing Advertising Marketing Measurement 112

Occam's Razor

JUNE 6, 2007

I am thrilled to say that my book Web Analytics: An Hour A Day has been published and is now widely available. Bonus: Interactive CD: Contains six podcasts, one video, two web analytics metrics definitions documents and five insightful powerpoint presentations. Experimentation & Testing (A/B, Multivariate, you name it).

Analytics 60

Analytics Metrics Marketing Dashboards 60

Smarten

APRIL 19, 2024

The use of Generative AI, LLM and products such as ChatGPT capabilities has been applied to all kinds of industries, from publishing and research to targeted marketing and healthcare. Nothing…and I DO mean NOTHING…is more prominent in technology buzz today than Artificial Intelligence (AI). billion, with the market growing by 31.1%

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

datapine

SEPTEMBER 16, 2022

But often that’s how we present statistics: we just show the notes, we don’t play the music.” – Hans Rosling, Swedish statistician. But if the same insights or metrics are presented in a simple graph, the number rises to 97%. Your Chance: Want to test a powerful data visualization software? back on every dollar spent.

Visualization 304

Visualization Dashboards Data-driven Statistics 304

AWS Big Data

SEPTEMBER 13, 2023

AWS has invested in native service integration with Apache Hudi and published technical contents to enable you to use Apache Hudi with AWS Glue (for example, refer to Introducing native support for Apache Hudi, Delta Lake, and Apache Iceberg on AWS Glue for Apache Spark, Part 1: Getting Started ). This concludes the demo.

Data Lake 87

Data Lake Data Processing Metadata Snapshot 87

The Unofficial Google Data Science Blog

JULY 18, 2023

Once we’ve answered that, we will then define and use metrics to understand the quality of human-labeled data, along with a measurement framework that we call Cross-replication Reliability or xRR. We will follow the example of Janson and Olsson , and start from this generalized definition of the metric, which they call iota.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Occam's Razor

JUNE 8, 2006

In the morass of data quality and TV and UV and cookie values and ab test id’s and sessions and shopper_ids we look at massive amounts of data and forget that real people are using our websites. If I get enough different ones I’ll create a new list and publish that (with due credit to you). You guys rock!!).

KPI 94

KPI Measurement Statistics Metrics 94

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

With those stakes and the long forecast horizon, we do not rely on a single statistical model based on historical trends. For example, we may prefer one model to generate a range, but use a second scenario-based model to “stress test” the range. Over the life of the forecast, the data scientist will publish historical accuracy metrics.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Domino Data Lab

AUGUST 10, 2021

Some popular tool libraries and frameworks are: Scikit-Learn: used for machine learning and statistical modeling techniques including classification, regression, clustering and dimensionality reduction and predictive data analysis. This is useful for grouping unstructured data based on statistical properties.

Modeling 64

Modeling IT Risk Management Deep Learning 64

DataRobot

NOVEMBER 9, 2021

“One look is worth a Thousand Words” This phrase was used in 1913 to convey that graphics had a place in newspaper publishing. The dataset also provides centralized and windowed statistics features. More than a hundred years later, this phrase still rings true, especially for data scientists.

Visualization 52

Visualization Unstructured Data Statistics Metrics 52

AWS Big Data

JULY 27, 2023

Now that you have addressed all data quality issues identified on the sample, publish the project as a recipe. Choose Publish in the Recipe pane, enter an optional description, and complete the publication. Each time you publish, it will create a different version of the recipe. Now you can save and run the job.

Visualization 78

Visualization Cost-Benefit Data Quality Interactive 78

IBM Big Data Hub

JULY 28, 2022

To take full advantage metadata enrichments, you’ll want to publish data assets, enriched with metadata‚ to a catalog where users can quickly find and access the right information. The workflow and user experience for discovering, enriching and publishing a large number of data assets from a source to a catalog has been entirely revisited.

Metadata 57

Metadata Data Quality Machine Learning Statistics 57

Insight

FEBRUARY 19, 2020

I held out 20% of this as a test set and used the remainder for training and validation. Building Models to Predict Movie Profitability Here I use profitability as the metric of success for a film and define profitability as the return on investment (ROI). Scatterplot of the predicted ROI vs. the true ROI for the hold-out test set.

Risk 67

Risk ROI Modeling Metrics 67

Domino Data Lab

MAY 8, 2019

So much work in machine learning – either on the academic side which is focused on publishing papers or the industry side which is focused on ROI – tends to emphasize: How much predictive power (precision, recall) does the model have? If you invest enough time into modeling, you can often find relatively simple models for a given problem.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

datapine

AUGUST 29, 2022

And with that understanding, you’ll be able to tap into the potential of data analysis to create strategic advantages, exploit your metrics to shape them into stunning business dashboards , and identify new opportunities or at least participate in the process. Product/market fit is THE most important factor to get right. Davenport.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

The Unofficial Google Data Science Blog

APRIL 16, 2019

In fact, this blog has published posts on this very topic. Such decisions involve an actual hypothesis test on specific metrics (e.g. Often, an established product will have an overall evaluation criterion (OEC) that incorporates trade-offs among important metrics and between short- and long-term success.

Experimentation 68

Experimentation Sales Metrics Measurement 68

Occam's Razor

FEBRUARY 22, 2010

For example, with Alexa , you can report on traffic statistics (such as rank and page views), upstream (where your traffic comes from) and downstream (where people go after visiting your site) statistics, and key-words driving traffic to a site. Check the definitions of various metrics. numbers for various industries.

Metrics 123

Metrics Advertising Reporting Software 123

O'Reilly on Data

OCTOBER 18, 2022

While there are many interesting and useful benchmark datasets for testing bias in natural language processing, none provided these types of exhaustive demographic labels. If your organization wants to measure bias quantitatively, you’ll probably need to test data with demographic labels. More are published all the time.

Risk Management 291

Risk Management Risk Testing Measurement 291

Domino Data Lab

MARCH 3, 2019

We had big surprises at several turns and have subsequently published a series of reports. O’Reilly Media published our analysis as free mini-books: The State of Machine Learning Adoption in the Enterprise (Aug 2018). What metrics are used to evaluate success? Let’s look through some of the insights gained from those reports.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Occam's Razor

NOVEMBER 15, 2010

Furthermore the content publishing schedules, perceptions of "engagement" are all out of whack. No, no, not the silly reports that show mostly useless metrics like Average Time on Site and Average Pages Per Visitors ( averages stink! ). Index Value Metric. Time to focus on the Visitors!! They notice the loooong line.

Reporting 139

Reporting Metrics Strategy Measurement 139

datapine

SEPTEMBER 4, 2023

Your Chance: Want to test a powerful data visualization software? Your Chance: Want to test a powerful data visualization software? Not only is each flight color-coded by the airline, but this short movie-style visualization has transformed flight-based metrics into a piece of art that shows the path of each flight in action.

Interactive 264

Interactive Visualization Cost-Benefit Dashboards 264

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 ? Lack of loyalty shows simply re-publishing AP stories is useless. Fill it with the best web metrics to measure success.

Marketing 140

Marketing B2B Measurement Risk 140

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

1]" Statistics, as a discipline, was largely developed in a small data world. With more features come more potential post hoc hypotheses about what is driving metrics of interest, and more opportunity for exploratory analysis. We must correct for multiple hypothesis tests. We ought not dredge our data. And for good reason!

Experimentation 61

Experimentation Testing Statistics Metrics 61