Verification and validation (V&V) has been identified as a critical phase in fielding systems with Integrated Systems Health Management (ISHM) solutions to ensure that the results produced are robust, reliable, and can confidently inform about vehicle and system health status and to support operational and maintenance decisions. Prognostics is a key constituent within ISHM. It faces unique challenges for V&V since it informs about the future behavior of a component or subsystem. In this paper, we present a detailed review of identified barriers and solutions to prognostics V&V, and a novel methodological way for the organization and application of this knowledge. We discuss these issues within the context of a prognostics application for the ground support equipment of space vehicle propellant loading, and identify the significant barriers and adopted solution for this application.

Our location data powers the most advanced address validation solutions for enterprise backend and frontend systems.

A global, standardized, self-hosted location dataset containing all administrative divisions, cities, and zip codes for 247 countries.

All geospatial data for address data validation is updated weekly to maintain the highest data quality, including challenging countries such as China, Brazil, Russia, and the United Kingdom.

Use cases for the Address Validation at Zip Code Level Database (Geospatial data)

• Address capture and address validation

• Address autocomplete

• Address verification

• Reporting and Business Intelligence (BI)

• Master Data Mangement

• Logistics and Supply Chain Management

• Sales and Marketing

Product Features

• Dedicated features to deliver best-in-class user experience

• Multi-language support including address names in local and foreign languages

• Comprehensive city definitions across countries

Data export methodology

Our location data packages are offered in variable formats, including .csv. All geospatial data for address validation are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

Why do companies choose our location databases

• Enterprise-grade service

• Full control over security, speed, and latency

• Reduce integration time and cost by 30%

• Weekly updates for the highest quality

• Seamlessly integrated into your software

Note: Custom address validation packages are available. Please submit a request via the above contact button for more details.

We used this dataset to verify and validate functions in the USEPA National Stormwater Calculator, and then applied field data and commonly-available datasets to illustrate calibration techniques and uncertainty evaluation. This dataset is associated with the following publication: Schifman, L., M. Tryby, J. Berner, and W. Shuster. Managing Uncertainty in Runoff Estimation with the U.S. Environmental Protection Agency National Stormwater Calculator.. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 54(1): 148-159, (2018).

Have you ever assessed the quality of your data? Just as you would run spell check before publishing an important document, it is also beneficial to perform a quality control (QC) review before delivering data or map products. This course gives you the opportunity to learn how you can use ArcGIS Data Reviewer to manage and automate the quality control review process. While exploring the fundamental concepts of QC, you will gain hands-on experience configuring and running automated data checks. You will also practice organizing data review and building a comprehensive quality control model. You can easily modify and reuse this QC model over time as your organizational requirements change.After completing this course, you will be able to:Explain the importance of data quality.Select data checks to find specific errors.Apply a workflow to run individual data checks.Build a batch job to run cumulative data checks.

Interval Data Validation and Estimation Tools Market Outlook

According to our latest research, the global Interval Data Validation and Estimation Tools market size reached USD 1.46 billion in 2024. With a robust compound annual growth rate (CAGR) of 11.2% projected over the forecast period, the market is expected to reach USD 3.73 billion by 2033. This growth is primarily driven by the rising demand for advanced data quality assurance and analytics solutions across sectors such as BFSI, healthcare, manufacturing, and IT & telecommunications. As organizations increasingly rely on accurate interval data for operational efficiency and regulatory compliance, the adoption of validation and estimation tools continues to surge.

A key factor propelling the growth of the Interval Data Validation and Estimation Tools market is the exponential rise in data generation from connected devices, IoT sensors, and digital platforms. Businesses today are inundated with massive volumes of interval data, which, if not validated and accurately estimated, can lead to significant operational inefficiencies and decision-making errors. These tools play a crucial role in ensuring the integrity, accuracy, and completeness of interval data, thereby enabling organizations to derive actionable insights and maintain competitive advantage. Furthermore, the growing emphasis on automation and digital transformation initiatives is pushing enterprises to invest in sophisticated data validation and estimation solutions, further accelerating market growth.

Another major growth driver is the increasing stringency of regulatory requirements across industries, particularly in sectors such as BFSI, healthcare, and utilities. Regulations related to data governance, privacy, and reporting demand organizations to maintain high standards of data quality and compliance. Interval Data Validation and Estimation Tools help organizations adhere to these regulatory mandates by providing automated checks, anomaly detection, and robust audit trails. The integration of artificial intelligence and machine learning into these tools is further enhancing their capabilities, enabling real-time data validation and predictive estimation, which is critical in fast-paced business environments.

Additionally, the surge in cloud adoption and the proliferation of cloud-based data management platforms are significantly contributing to the market’s expansion. Cloud-based deployment models offer scalability, flexibility, and cost-efficiency, making advanced validation and estimation tools accessible to small and medium-sized enterprises as well as large organizations. The ability to seamlessly integrate with existing data architectures and third-party applications is also a key factor driving the adoption of both on-premises and cloud-based solutions. As data ecosystems become increasingly complex and distributed, the demand for interval data validation and estimation tools is expected to witness sustained growth through 2033.

From a regional perspective, North America currently holds the largest share of the Interval Data Validation and Estimation Tools market, driven by early technology adoption, a strong focus on data-driven decision-making, and a mature regulatory landscape. However, Asia Pacific is anticipated to register the fastest CAGR of 13.5% during the forecast period, fueled by rapid digitalization, expanding industrialization, and increasing investments in smart infrastructure. Europe and Latin America are also witnessing steady growth, supported by government initiatives and the rising importance of data quality management in emerging economies. The Middle East & Africa region, though comparatively nascent, is expected to demonstrate significant potential as digital transformation initiatives gain momentum.

Component Analysis

The Interval Data Validation and Estimation Tools market by component is broadly segmented into Software and Servic

The email validation tools market is experiencing robust growth, driven by the increasing need for businesses to maintain clean and accurate email lists for effective marketing campaigns. The rising adoption of email marketing as a primary communication channel, coupled with stricter data privacy regulations like GDPR and CCPA, necessitates the use of tools that ensure email deliverability and prevent bounces. This market, estimated at $500 million in 2025, is projected to grow at a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $1.5 billion by 2033. This expansion is fueled by the growing sophistication of email validation techniques, including real-time verification, syntax checks, and mailbox monitoring, offering businesses more robust solutions to improve their email marketing ROI. Key market segments include small and medium-sized businesses (SMBs), large enterprises, and email marketing agencies, each exhibiting varying levels of adoption and spending based on their specific needs and email marketing strategies. The competitive landscape is characterized by a mix of established players and emerging startups, offering a range of features and pricing models to cater to diverse customer requirements. The market's growth is, however, subject to factors like increasing costs associated with maintaining data accuracy and the potential for false positives in email verification. The key players in this dynamic market, such as Mailgun, BriteVerify, and similar companies, are continuously innovating to improve accuracy, speed, and integration with other marketing automation platforms. The market's geographical distribution is diverse, with North America and Europe currently holding significant market share due to higher email marketing adoption rates and a robust technological infrastructure. However, Asia-Pacific and other emerging markets are poised for considerable growth in the coming years due to increasing internet penetration and rising adoption of digital marketing techniques. The ongoing evolution of email marketing strategies, the increasing emphasis on data hygiene, and the rise of artificial intelligence in email verification are likely to further shape the trajectory of this market in the years to come, leading to further innovation and growth.

Discover the booming address verification tools market! This in-depth analysis reveals key trends, growth drivers, and competitive landscape from 2019-2033, including insights into cloud-based solutions, regional breakdowns, and leading companies like SmartyStreets and Experian. Learn how accurate address data is transforming businesses.

Examples from the analysis of qualitative responses to the question “Are data quality processes sufficiently rigorous to provide a ‘fit-for-purpose’ dataset?”.

The global Address Verification Tool market is poised for significant expansion, projected to reach an estimated USD 3,500 million by 2025 and surge to approximately USD 6,200 million by 2033, demonstrating a robust Compound Annual Growth Rate (CAGR) of 7.5% during the forecast period (2025-2033). This substantial growth is primarily fueled by the escalating need for data accuracy and integrity across diverse industries. As businesses increasingly rely on precise customer and operational data for decision-making, marketing campaigns, and regulatory compliance, the demand for sophisticated address verification solutions is surging. Key drivers include the burgeoning e-commerce sector, which necessitates accurate shipping and billing addresses to minimize delivery errors and enhance customer satisfaction, and the growing emphasis on Know Your Customer (KYC) and Anti-Money Laundering (AML) regulations, compelling financial institutions and other regulated entities to implement stringent address validation processes. Furthermore, the proliferation of digital transactions and online services amplifies the importance of verified addresses for fraud prevention and secure communication. The market is witnessing a dynamic evolution with several key trends shaping its trajectory. The integration of Artificial Intelligence (AI) and Machine Learning (ML) into address verification platforms is enhancing accuracy, speed, and the ability to handle complex, unstructured address data. Cloud-based solutions are gaining traction due to their scalability, accessibility, and cost-effectiveness, appealing to both small and large enterprises. The market segmentation reveals a balanced demand across applications, with Small and Medium-sized Enterprises (SMEs) increasingly adopting these tools to compete with larger players and improve operational efficiency, while large enterprises leverage them for critical data management and risk mitigation. On the technology front, the "Software" segment, encompassing standalone verification tools and APIs, is expected to see consistent growth, closely followed by "Platforms" that offer comprehensive data quality solutions. Prominent players like Informatica Cloud Data Quality, Sumsub, and Lob are at the forefront, driving innovation and expanding the market's reach. However, the market also faces restraints such as the complexity of international address formats and the continuous need for data updates, alongside concerns regarding data privacy and security, which necessitate robust compliance measures. This report provides an in-depth analysis of the global Address Verification Tool market, forecasting a significant expansion to $2.3 billion by 2033, with a projected CAGR of 15.7% during the forecast period (2025-2033). The base year for this analysis is 2025, building upon historical data from 2019-2024. We delve into the market's dynamics, identifying key players, trends, driving forces, challenges, and emerging opportunities that will shape its trajectory. The report utilizes a robust methodology to deliver actionable insights for businesses of all sizes, from SMEs to Large Enterprises, across various industry verticals, and across software and platform solutions.

Explore the booming Address Verification Service market, driven by e-commerce and data accuracy needs. Discover market size, CAGR, key drivers, trends, and regional insights.

Discover the booming address verification tool market! This comprehensive analysis reveals key trends, growth drivers, and regional insights from 2019-2033, impacting businesses of all sizes. Explore market size, CAGR, and leading companies shaping this dynamic sector. Learn how AI and regulatory compliance are driving adoption.

Python scripts

The data use for validating our model

Ease of requesting data access by dataset-category and custodian-category for dataset-1 and dataset-2 combined.

The bulk email verification service market is experiencing robust growth, driven by the increasing need for businesses to maintain clean and accurate email lists for effective marketing campaigns. The market's expanding size reflects the rising adoption of email marketing as a primary communication channel across various sectors, including enterprises, governments, and other organizations. While precise figures for market size and CAGR are unavailable in the provided data, considering the current market trends and the growth of related technologies like email marketing automation and data analytics, a reasonable estimate for the 2025 market size could be around $2 billion, growing at a Compound Annual Growth Rate (CAGR) of approximately 15% between 2025 and 2033. This growth is fueled by several factors, including the rising adoption of cloud-based solutions (SaaS and web-based services), the increasing focus on data privacy and compliance regulations (like GDPR and CCPA), and the need to improve email deliverability rates and reduce bounce rates. The market segmentation demonstrates a significant demand across application sectors, with enterprises and government bodies leading the adoption of bulk email verification services. The continued growth of the bulk email verification service market hinges on several factors. The evolving digital landscape necessitates refined email marketing strategies, making data quality paramount. Advancements in artificial intelligence and machine learning further enhance the accuracy and speed of email verification processes. However, challenges remain, such as the evolving methods of spammers and the ongoing need for sophisticated algorithms to counter them. Furthermore, integrating email verification seamlessly into existing marketing workflows remains a key area for service providers to address. Geographic variations exist; North America and Europe are expected to maintain significant market share, while regions like Asia-Pacific are projected to demonstrate strong growth potential, propelled by the expanding digital economies and the adoption of email marketing strategies in developing markets. The competitive landscape comprises a variety of established players and emerging companies, all striving to offer innovative solutions and gain market share.

Data set for the publication named: "Validation of a Qualification Procedure Applied to the Verification of Partial Discharge Analysers Used for HVDC or HVAC Networks"

Economic empowerment is a promising intervention to address intimate partner violence (IPV). Recently, financial education programs have been developed and tested with survivors of IPV. However, only a few rigorous evaluations of economic empowerment interventions exist with survivors of IPV in the U.S., and none assess the language and cultural differences among Spanish-speaking survivors. This study tested and validated measures related to financial empowerment and partner violence with English and Spanish-speaking IPV survivors to address this gap. The specific objectives of the project were to: (1) Test and revise financial and abuse scales which were pre-existing or adapted from scales used in the general population for use with IPV survivors in both English and Spanish utilizing a secondary dataset, and (2) Further test and validate measures analyzed as part of Objective One with a similar sample of IPV survivors in both English and Spanish to determine if these scales are appropriate for use with IPV populations. This study was conducted in two phases to address each of its objectives. The first objective was completed during Phase I, and the second objective during Phase II. Data for Phase II was gathered through individual interviews, either face-to-face or over the phone. Interviewers used a structured questionnaire, with the nine financial and abuse scales, in the participant's preferred language, English or Spanish. These nine scales were: Financial Knowledge Scale - to determine survivors' knowledge about financial management. Financial Management Attitudes Scale - to determine survivors' attitudes about financial management. Scale of Economic Self-Efficacy - to determine survivors' confidence in their financial management abilities. Scale of Financial Behaviors - to determine survivors' actual financial management behaviors. Scale of Financial Intentions - to determine survivors' intentions to perform particular financial behaviors. Scale of Economic Self-Sufficiency - to determine survivors' abilities to accomplish financial tasks. Financial Strain Survey - to determine survivors' strain in managing their financial health. Abusive Behavior Inventory - to determine survivors' experiences with physical, emotional, and sexual violence. Scale of Economic Abuse-12 - to determine survivors' experiences with economic abuse. In addition, the questionnaire gathered demographic information including: age, ethnicity, employment status, education level, marital status, and annual income.

Background and ObjectiveThe use of valid surrogate endpoints can accelerate the development of phase III trials. Numerous validation methods have been proposed with the most popular used in a context of meta-analyses, based on a two-step analysis strategy. For two failure time endpoints, two association measures are usually considered, Kendall’s τ at individual level and adjusted R2 () at trial level. However, is not always available mainly due to model estimation constraints. More recently, we proposed a one-step validation method based on a joint frailty model, with the aim of reducing estimation issues and estimation bias on the surrogacy evaluation criteria. The model was quite robust with satisfactory results obtained in simulation studies. This study seeks to popularize this new surrogate endpoints validation approach by making the method available in a user-friendly R package.MethodsWe provide numerous tools in the frailtypack R package, including more flexible functions, for the validation of candidate surrogate endpoints using data from multiple randomized clinical trials.ResultsWe implemented the surrogate threshold effect which is used in combination with to make decisions concerning the validity of the surrogate endpoints. It is also possible thanks to frailtypack to predict the treatment effect on the true endpoint in a new trial using the treatment effect observed on the surrogate endpoint. The leave-one-out cross-validation is available for assessing the accuracy of the prediction using the joint surrogate model. Other tools include data generation, simulation study and graphic representations. We illustrate the use of the new functions with both real data and simulated data.ConclusionThis article proposes new attractive and well developed tools for validating failure time surrogate endpoints.

Discover the booming address verification software market! This in-depth analysis reveals key trends, growth drivers, and competitive insights for 2025-2033, including market size, CAGR, and regional breakdowns. Learn about leading companies like GBG and Experian and explore the potential of cloud-based solutions. Optimize your business with this valuable market intelligence.

Researchers’ reported knowledge of selected information governance processes about government-health datasets utilised, 2008–2020, dataset-1 and dataset-2 combined.