David Menninger's Analyst Perspectives

SEPTEMBER 23, 2021

Data teams and analysts start by creating common definitions of key performance indicators, which Sisu then utilizes to automatically test thousands of hypotheses to identify differences between groups. The product features fact boards, annotations and the ability to share facts and analysis across teams.

Machine Learning 235

Machine Learning Key Performance Indicator Optimization Analytics 235

O'Reilly on Data

OCTOBER 17, 2023

This definition is essentially interactive. This is probably the definition that Agarwal has in mind. This definition isn’t interactive; it’s automating a task to make it easier for others to do. What about the first, interactive definition? To say nothing of debugging and testing.)

Interactive 255

Interactive Software Testing IT 255

DataKitchen

NOVEMBER 20, 2021

A DataOps Engineer can make test data available on demand. We have automated testing and a system for exception reporting, where tests identify issues that need to be addressed. A previous post talked about the definition of “done.” It then autogenerates QC tests based on those rules.

Testing 246

Testing Machine Learning Data Warehouse Reporting 246

O'Reilly on Data

APRIL 9, 2024

“Hail the QA Engineer” may be clickbait, but it isn’t controversial to say that testing and debugging will rise in importance. First, one of the cornerstones of QA is testing. Generative AI can generate tests, of course—at least it can generate unit tests, which are fairly simple. Programming culture is another problem.

Testing 195

Testing Software Sales Marketing 195

Rocket-Powered Data Science

FEBRUARY 15, 2023

A business-disruptive ChatGPT implementation definitely fits into this category: focus first on the MVP or MLP. Keep it agile, with short design, develop, test, release, and feedback cycles: keep it lean, and build on incremental changes. Test early and often. Test and refine the chatbot. Expect continuous improvement.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

DataKitchen

JANUARY 25, 2022

DataOps converted these manual processes into automated orchestrations that only required human intervention when an automated alert detected that a data source missed its delivery deadline or failed to pass quality tests. It definitely means redeploying internal and outsourcing budgets to higher value-add activities.

Consulting 244

Consulting Testing Data Quality Data Lake 244

datapine

APRIL 15, 2020

That said, in this article, we will go through both agile analytics and BI starting from basic definitions, and continuing with methodologies, tips, and tricks to help you implement these processes and give you a clear overview of how to use them. Your Chance: Want to test an agile business intelligence solution? Finalize testing.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

O'Reilly on Data

JULY 11, 2023

Some of that time is spent in pointless meetings, but much of “the rest of the job” is understanding the user’s needs, designing, testing, debugging, reviewing code, finding out what the user really needs (that they didn’t tell you the first time), refining the design, building an effective user interface, auditing for security, and so on.

Testing 250

Testing Software Visualization Interactive 250

DataKitchen

OCTOBER 11, 2021

Second, you must establish a definition of “done.” In DataOps, the definition of done includes more than just some working code. There are no automated tests , so errors frequently pass through the pipeline. Definition of Done. Adding Tests to Reduce Stress. Below is an example historical balance test.

Testing 162

Testing Metadata Dashboards Statistics 162

Rocket-Powered Data Science

SEPTEMBER 25, 2022

All phases of the MVT process are discussed: strategy, designs, pilot, implementation, test, validation, operations, and monitoring. Beyond being a technical how-to manual (though it is definitely that), this book delivers so much more! 5) Helpful discussions of phased DT deployments, prototypes, pilots, feedback, and validation.

Diagnostic Analytics 216

Diagnostic Analytics Prescriptive Analytics Internet of Things IoT 216

DataKitchen

MAY 10, 2021

Some will argue that observability is nothing more than testing and monitoring applications using tests, metrics, logs, and other artifacts. In our definition of data observability, we put the focus on the important goal of eliminating data errors. Manual testing is performed step-by-step, by a person.

Testing 214

Testing Manufacturing Data Quality Statistics 214

O'Reilly on Data

JANUARY 9, 2024

We still rely on humans to test and fix the errors. How do you understand what the program is doing if it’s a different program each time you generate and test it? Automated code generation doesn’t yet have the kind of reliability we expect from traditional programming; Simon Willison calls this “ vibes-based development.”

Modeling 286

Modeling Software Testing Optimization 286

O'Reilly on Data

MARCH 7, 2019

The text has its own definition of what sentences are and what parts of speech are. If you don’t believe me, feel free to test it yourself with the six popular NLP cloud services and libraries listed below. Most likely, the first test will immediately uncover the gaps between each offering and your needs. IBM Watson NLU.

Deep Learning 230

Deep Learning Testing Machine Learning Modeling 230

DataKitchen

OCTOBER 5, 2021

Many people who work with data have a narrow definition of being “done.” The narrow definition of “done” used by many data professionals is that it worked in a specific environment, without knowing or caring about the challenges of the people who have to deploy, monitor and maintain that component. Create tests. Run the factory.

Testing 162

Testing Dashboards Measurement Experimentation 162

DataKitchen

MARCH 12, 2024

We kept adding tests over time; it has been several years since we’ve had any major glitches. Thanks to Observability, I could diagnose the problem – definitely helped me a lot during the process.” It’s definitive, and that changes the game, especially for senior leadership.” That was amazing for the team.”

Metrics 124

Metrics Software Cost-Benefit Testing 124

O'Reilly on Data

JUNE 7, 2022

It seems inappropriate to be talking about AGI when we don’t really have a good definition of “intelligence.” We have a lot of vague notions about the Turing test, but in the final analysis, Turing wasn’t offering a definition of machine intelligence; he was probing the question of what human intelligence means.

Modeling 363

Modeling Interactive Optimization Deep Learning 363

O'Reilly on Data

DECEMBER 10, 2024

That seemed like something worth testing outor at least playing around withso when I heard that it very quickly became available in Ollama and wasnt too large to run on a moderately well-equipped laptop, I downloaded QwQ and tried it out. How do you test a reasoning model? But thats hardly a valid test.

Testing 201

Testing Modeling Software IT 201

datapine

APRIL 13, 2021

Starting with its definition, following with the benefits of agency reports, a list of tools, and a set of agency dashboard examples. Let’s dig in with the definition of agency analytics. Your Chance: Want to test a powerful agency analytics software? Your Chance: Want to test a powerful agency analytics software?

Dashboards 256

Dashboards Reporting Analytics Cost-Benefit 256

O'Reilly on Data

NOVEMBER 28, 2023

Unexpected outcomes, security, safety, fairness and bias, and privacy are the biggest risks for which adopters are testing. AI users are definitely facing these problems: 7% report that data quality has hindered further adoption, and 4% cite the difficulty of training a model on their data. Only 4% pointed to lower head counts.

Enterprise 275

Enterprise Modeling Testing Reporting 275

O'Reilly on Data

OCTOBER 13, 2020

In Bringing an AI Product to Market , we distinguished the debugging phase of product development from pre-deployment evaluation and testing. This distinction assumes a slightly different definition of debugging than is often used in software development. require not only disclosure, but also monitored testing.

Management 248

Management Machine Learning Metrics Modeling 248

DataKitchen

AUGUST 6, 2024

I took TestGen for a test drive on ~600k rows of Boston City data and found 18 data quality hygiene issues in a few minutes. The one “Definite” finding was non-standard blank values in the comment column. My next steps were to generate data quality tests (this took about 2 seconds).

Data Quality 133

Data Quality Testing Cost-Benefit Software 133

O'Reilly on Data

MAY 14, 2020

Lack of a specific role definition doesn’t prevent success, but it does introduce the risk that technical debt will accumulate as the business scales. a deep understanding of A/B testing , and a similarly deep knowledge of model evaluation techniques. Avinash Kaushik’s Web Analytics 2.0

Management 363

Management Experimentation B2B Machine Learning 363

AWS Big Data

JANUARY 2, 2024

We also avoid the implementation details and packaging process of our test data generation application, referred to as the producer. Create an ECS task definition with Kinesis Agent and the application container Now that you have Kinesis Agent packaged as a container image, you can use it in your ECS task definitions to run as sidecar.

Testing 111

Testing Data Processing Metrics Publishing 111

datapine

JANUARY 6, 2022

First of all, let’s find a definition to understand what lies behind data interpretation meaning. Typically, quantitative data is measured by visually presenting correlation tests between two or more variables of significance. To cut costs and reduce test time, Intel implemented predictive data analyses.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

datapine

MAY 20, 2020

To put the power of CRM software (or customer relationship management dashboard software) into a living, breathing, real-world perspective, we’ll explore CRM dashboards in more detail, starting with basic definitions of such dashboards and reports while considering how you can use CRM dashboard software to your business-boosting advantage.

Dashboards 265

Dashboards Reporting KPI Visualization 265

datapine

OCTOBER 11, 2023

Keep on reading to learn a definition, benefits, and a warehouse KPI list with the most prominent examples any manager should be tracking to achieve operational success. Let’s dive in with the definition. Therefore, it is essential to test different benchmarks and see what works best for your business. What Is A Warehouse KPI?

Metrics 217

Metrics KPI Management Cost-Benefit 217

O'Reilly on Data

MARCH 26, 2024

But perhaps it should infringe something: even when the collection of data is legal (which, statistically, it won’t entirely be for any web-scale corpus), it doesn’t mean it’s legitimate, and it definitely doesn’t mean there was informed consent. To see this, let’s consider another example, that of MegaFace. joined Flickr. joined Flickr.

Modeling 278

Modeling Machine Learning Risk Advertising 278

datapine

FEBRUARY 3, 2022

Let’s quick it off with the definition of metrics and KPIs! Your Chance: Want to test a professional KPI and metrics software? Now that we have a basic understanding of the definition of both indicators, let’s dive deeper into the difference between KPIs and metrics. What Are KPIs? KPIs vs Metrics: What Is The Difference?

Metrics 189

Metrics KPI Key Performance Indicator Sales 189

datapine

SEPTEMBER 29, 2022

What is the definition of data quality? This way, you make sure there is a common understanding of data definitions that are being used across the organization. Also known as data validation, integrity refers to the structural testing of data to ensure that the data complies with procedures. date, month, and year).

Data Quality 241

Data Quality Metrics Data-driven Management 241

O'Reilly on Data

JUNE 24, 2020

We don’t need definitive answers before taking steps. You get the idea; this list could easily go on, possibly including hundreds of factors influencing disease propagation, individual susceptibility, and mortality. What are the many causes that will provide a push in the right direction?

Measurement 286

Measurement Testing Interactive Modeling 286

O'Reilly on Data

OCTOBER 22, 2020

So it’s definitely a double-edged sword. That said, the risks involved require a very careful evaluation of the processes used to generate, test, and deploy those models, particularly in cases where there are significant public risks involved in any of the aforementioned steps. “If What is a bad idea? Source: Chris.

Consulting 299

Consulting Risk Cost-Benefit Modeling 299

erwin

APRIL 15, 2020

Does the definition (description, classification, allowable range of values, etc.) of incoming, individual data elements match our internal definitions of those data elements? Do individual countries use the same testing protocols? What formulas were used? Are asymptomatic infections reported?

Data Governance 134

Data Governance Metadata Testing Reporting 134

datapine

MARCH 25, 2020

Your Chance: Want to test a professional reporting automation software? Your Chance: Want to test a professional reporting automation software? Your Chance: Want to test a professional reporting automation software? Let’s get started. We offer a 14-day free trial. Automate your processes with datapine!

Reporting 209

Reporting Dashboards Manufacturing Visualization 209

O'Reilly on Data

OCTOBER 22, 2024

They will learn how to coach the AI to give them “better” code (for some definition of better) over time. Maybe, but we’re definitely not there yet. Why is it hard to make this test pass? All this time, they’re training the AI, they’re not training junior developers. Why did you reject this idea?

Software 272

Software Testing IT 272

DataKitchen

APRIL 18, 2024

The most effortless way to institute comprehensive, agile data quality testing is to derive actionable information, start testing and measuring immediately, and then iterate, using tests and results to refine. But our open-source tools are not hobbled in testing and observing. And a way to configure more tests.

Testing 124

Testing Data Quality Enterprise Data Analytics 124

CIO Business Intelligence

DECEMBER 11, 2024

Thats a problem, since building commercial products requires a lot of testing and optimization. But overall, theres definitely a cost savings from not having to pay OpenAIs API charges. Why the open source definition matters to business Metas Llama comes up first in any conversation about open source gen AI.

Cost-Benefit 113

Cost-Benefit Modeling Marketing Sales 113

datapine

SEPTEMBER 1, 2020

Your Chance: Want to test a market research reporting software? By asking a focused question, this most visual of KPIs will give you a definitive idea of whether respondents agree, disagree, or are undecided on particular descriptions or perceptions related to your brand image. Let’s get started. What Is A Market Research Report?

Reporting 247

Reporting Marketing KPI Dashboards 247