DataKitchen

SEPTEMBER 20, 2021

The best way to ensure error-free execution of data production is through automated testing and monitoring. The DataKitchen Platform enables data teams to integrate testing and observability into data pipeline orchestrations. Automated tests work 24×7 to ensure that the results of each processing stage are accurate and correct.

Testing 246

Testing Metrics Measurement Dashboards 246

CIO Business Intelligence

APRIL 23, 2024

As CIO, you’re in the risk business. Or rather, every part of your responsibilities entails risk, whether you’re paying attention to it or not. There are, for example, those in leadership roles who, while promoting the value of risk-taking, also insist on “holding people accountable.” You can’t lose.

Risk 116

Risk IT Insurance Risk Management 116

CIO Business Intelligence

DECEMBER 20, 2023

This has spurred interest around understanding and measuring developer productivity, says Keith Mann, senior director, analyst, at Gartner. Therefore, engineering leadership should measure software developer productivity, says Mann, but also understand how to do so effectively and be wary of pitfalls.

Measurement 124

Measurement Software IT Metrics 124

CIO Business Intelligence

AUGUST 21, 2024

It wasn’t just a single measurement of particulates,” says Chris Mattmann, NASA JPL’s former chief technology and innovation officer. “It It was many measurements the agents collectively decided was either too many contaminants or not.” They also had extreme measurement sensitivity. Adding smarter AI also adds risk, of course.

Risk 136

Risk Insurance Cost-Benefit Software 136

CIO Business Intelligence

MAY 24, 2024

GRC certifications validate the skills, knowledge, and abilities IT professionals have to manage governance, risk, and compliance (GRC) in the enterprise. Enter the need for competent governance, risk and compliance (GRC) professionals. What are GRC certifications? Why are GRC certifications important?

Risk 119

Risk Risk Management Management Enterprise 119

Smart Data Collective

MAY 7, 2023

million —and organizations are constantly at risk of cyber-attacks and malicious actors. In order to protect your business from these threats, it’s essential to understand what digital transformation entails and how you can safeguard your company from cyber risks. What is cyber risk?

Digital Transformation 119

Digital Transformation Risk Strategy Testing 119

AWS Big Data

DECEMBER 7, 2023

In this post, we outline planning a POC to measure media effectiveness in a paid advertising campaign. We chose to start this series with media measurement because “Results & Measurement” was the top ranked use case for data collaboration by customers in a recent survey the AWS Clean Rooms team conducted.

Measurement 115

Measurement Advertising Testing Data-driven 115

CIO Business Intelligence

JUNE 13, 2024

Not instant perfection The NIPRGPT experiment is an opportunity to conduct real-world testing, measuring generative AI’s computational efficiency, resource utilization, and security compliance to understand its practical applications. For now, AFRL is experimenting with self-hosted open-source LLMs in a controlled environment.

Testing 119

Testing Experimentation Data Processing Modeling 119

CIO Business Intelligence

JUNE 21, 2023

At the same time, the threat landscape continues to evolve and cyber risk is escalating for all organizations. As cyber risk continues to escalate, CIOs and CISOs need to be just as nimble and methodical as their adversaries. Because industry tests often lack standardized measurement criteria, the results can vary wildly.

Testing 98

Testing Measurement ROI Risk 98

CIO Business Intelligence

OCTOBER 17, 2024

While tech debt refers to shortcuts taken in implementation that need to be addressed later, digital addiction results in the accumulation of poorly vetted, misused, or unnecessary technologies that generate costs and risks. million machines worldwide, serves as a stark reminder of these risks. Assume unknown unknowns.

Risk 108

Risk Experimentation Testing Strategy 108

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. It then autogenerates QC tests based on those rules. You can track, measure and create graphs and reporting in an automated way.

Testing 246

Testing Machine Learning Data Warehouse Reporting 246

CIO Business Intelligence

OCTOBER 8, 2024

You risk adding to the hype where there will be no observable value. The learning phase Two key grounding musts: Non-mission critical workloads and (public) data Internal/private (closed) exposure This ensures no corporate information or systems will be exposed to any form of risk. Test the customer waters.

Risk 124

Risk Technology Cost-Benefit Internet of Things 124

Rocket-Powered Data Science

FEBRUARY 15, 2023

3) How do we get started, when, who will be involved, and what are the targeted benefits, results, outcomes, and consequences (including risks)? 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.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

O'Reilly on Data

JUNE 19, 2019

A catalog or a database that lists models, including when they were tested, trained, and deployed. A catalog of validation data sets and the accuracy measurements of stored models. Model operations, testing, and monitoring. Other noteworthy items include: Tools for continuous integration and continuous testing of models.

Modeling 195

Modeling Machine Learning Testing Metrics 195

CIO Business Intelligence

MAY 23, 2024

There is measurable progress, however, as data from the company’s connected products are collected in its own platform, where customers have access to information via a portal. “In Everything from simple translation services to more advanced solutions for creating product catalogues or risk analyses,” says Nilsson.

Digital Transformation 111

Digital Transformation Measurement Cost-Benefit Data Warehouse 111

DataKitchen

NOVEMBER 5, 2024

Get Off The Blocks Fast: Data Quality In The Bronze Layer Effective Production QA techniques begin with rigorous automated testing at the Bronze layer , where raw data enters the lakehouse environment. Data Drift Checks (does it make sense): Is there a shift in the overall data quality?

Data Quality 204

Data Quality Testing Metrics Reporting 204

Cloudera

JUNE 29, 2023

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. To improve the way they model and manage risk, institutions must modernize their data management and data governance practices.

Data Architecture 91

Data Architecture Risk Management Risk Management 91

DataKitchen

NOVEMBER 18, 2021

Write tests that catch data errors. The system creates on-demand development environments, performs automated impact reviews, tests/validates new analytics, deploys with a click, automates orchestrations, and monitors data pipelines 24×7 for errors and drift. Automate manual processes. Implement DataOps methods.

Testing 246

Testing Data Governance Measurement Software 246

Corinium

JUNE 6, 2019

Regulations and compliance requirements, especially around pricing, risk selection, etc., Fractal’s recommendation is to take an incremental, test and learn approach to analytics to fully demonstrate the program value before making larger capital investments. Build multiple MVPs to test conceptually and learn from early user feedback.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

O'Reilly on Data

OCTOBER 22, 2020

It’s also a good indirect measure of training data quality: a team that does not know where their data originated is likely to not know other important details about the data as well. It is important for companies employing ML in these situations to understand how this all fits into the overall risk profile of the company.

Consulting 301

Consulting Risk Cost-Benefit Modeling 301

CIO Business Intelligence

SEPTEMBER 10, 2024

The proposed rules would require companies to report on development activities, cybersecurity measures, and results from red-teaming tests, which assess risks such as AI systems aiding cyberattacks or enabling non-experts to create chemical, biological, radiological, or nuclear weapons.

Reporting 131

Reporting Measurement Testing Risk 131

O'Reilly on Data

SEPTEMBER 15, 2020

Technical sophistication: Sophistication measures a team’s ability to use advanced tools and techniques (e.g., Technical competence: Competence measures a team’s ability to successfully deliver on initiatives and projects. Technical competence results in reduced risk and uncertainty.

Advertising 299

Advertising Cost-Benefit ROI Machine Learning 299

datapine

APRIL 15, 2020

Your Chance: Want to test an agile business intelligence solution? Business intelligence is moving away from the traditional engineering model: analysis, design, construction, testing, and implementation. Test BI in a small group and deploy the software internally. Finalize testing. Without further ado, let’s begin.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

CIO Business Intelligence

JULY 22, 2024

For CIOs, the event serves as a stark reminder of the inherent risks associated with over-reliance on a single vendor, particularly in the cloud. To mitigate this risk, CIOs are likely to explore multicloud or hybrid cloud architectures, distributing workloads across multiple platforms.

Strategy 143

Strategy Testing Risk Management Risk 143

O'Reilly on Data

JULY 15, 2019

In recent posts, we described requisite foundational technologies needed to sustain machine learning practices within organizations, and specialized tools for model development, model governance, and model operations/testing/monitoring. Note that the emphasis of SR 11-7 is on risk management.). Sources of model risk.

Machine Learning 38

Machine Learning Management Enterprise Risk Management 38

O'Reilly on Data

DECEMBER 12, 2019

1] This includes C-suite executives, front-line data scientists, and risk, legal, and compliance personnel. These recommendations are based on our experience, both as a data scientist and as a lawyer, focused on managing the risks of deploying ML. 6] Debugging may focus on a variety of failure modes (i.e., Sensitivity analysis.

Machine Learning 196

Machine Learning Modeling Testing Risk Management 196

CIO Business Intelligence

AUGUST 4, 2023

In collaboration with our peers, we have a solid business sense that carefully weighs innovation and risk in order to gain valuable ROI while protecting the organization from all forms of risk associated with each project. If reversible, then there’s clearly less risk. What’s new and different today?

Risk 98

Risk Risk Management ROI Technology 98

datapine

OCTOBER 11, 2023

A Warehouse KPI is a measurement that helps warehousing managers to track the performance of their inventory management, order fulfillment, picking and packing, transportation, and overall operations. It allows for informed decision-making and efficient risk mitigation. Let’s dive in with the definition. What Is A Warehouse KPI?

Metrics 217

Metrics KPI Management Cost-Benefit 217

O'Reilly on Data

MAY 14, 2020

In addition, the Research PM defines and measures the lifecycle of each research product that they support. 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. Avinash Kaushik’s Web Analytics 2.0

Management 363

Management Experimentation B2B Machine Learning 363

datapine

MAY 2, 2023

According to studies, 92% of data leaders say their businesses saw measurable value from their data and analytics investments. Your Chance: Want to test a professional logistics analytics software? In other words, UPS found that turning into oncoming traffic was causing a lot of delays, wasted fuel, and increased safety risk.

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

IBM Big Data Hub

SEPTEMBER 13, 2023

The role of attack surface management in data breach containment Despite employing an arsenal of cybersecurity measures to protect sensitive data, many organizations find themselves in a relentless race against time, as they strive to bridge the gap between the moment a data breach occurs and when it is effectively contained.

Risk 93

Risk Management Strategy Measurement 93

DataKitchen

SEPTEMBER 21, 2023

In the context of Data in Place, validating data quality automatically with Business Domain Tests is imperative for ensuring the trustworthiness of your data assets. Running these automated tests as part of your DataOps and Data Observability strategy allows for early detection of discrepancies or errors.

Testing 182

Testing Data Quality Predictive Modeling Metrics 182

DataKitchen

NOVEMBER 27, 2024

For example, metrics like the percentage of missing values help measure completeness, while deviations from authoritative sources gauge accuracy. For instance, a bank might use a CDE dashboard to monitor the accuracy of customer credit scores, which are vital for regulatory compliance and effective risk modeling.

Data Quality 219

Data Quality Dashboards Metrics Cost-Benefit 219

datapine

JANUARY 6, 2022

Yet, before any serious data interpretation inquiry can begin, it should be understood that visual presentations of data findings are irrelevant unless a sound decision is made regarding scales of measurement. Interval: a measurement scale where data is grouped into categories with orderly and equal distances between the categories.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

DataKitchen

MARCH 5, 2024

The Stakeholder Confidence Crisis Relying on hope as a data accuracy and integrity strategy is fraught with risks. Implementing rigorous DataOps Observability practices, including automated testing, observability tools, and a culture of continuous improvement, can transform how your team addresses data reliability and accuracy.

Data Quality 154

Data Quality Measurement Testing Data-driven 154

datapine

MARCH 8, 2021

Your Chance: Want to test a healthcare reporting software for free? This information proved invaluable in offering tailored therapy while taking all-important measures to reduce suicide rates. Your Chance: Want to test a healthcare reporting software for free? What Is Healthcare Reporting? Cutting down unnecessary costs.

Reporting 198

Reporting KPI Management Cost-Benefit 198

datapine

AUGUST 12, 2020

Your Chance: Want to test professional business reporting software? The importance of this finance dashboard lays within the fact that every finance manager can easily track and measure the whole financial overview of a specific company while gaining insights into the most valuable KPIs and metrics. Let’s get started.

Reporting 297

Reporting Dashboards Visualization Cost-Benefit 297