This dataset comes from the Annual Community Survey question related to satisfaction with the quality of the city’s online services. Respondents are asked to provide their level of satisfaction related to “Tempe's online services (registration, payment, etc.)” on a scale of 5 to 1, where 5 means "Very Satisfied" and 1 means "Very Dissatisfied" (without "don't know" as an option).The survey is mailed to a random sample of households in the City of Tempe and has a 95% confidence level.This page provides data for the Online Service Satisfaction performance measure. The performance measure dashboard is available at 2.05 Online Services Satisfaction Rate. Additional Information Source: Community Attitude Survey ( Vendor: ETC Institute)Contact: Wydale HolmesContact E-Mail: Wydale_Holmes@tempe.govData Source Type: Excel and PDFPreparation Method: Extracted from Annual Community Survey results  Publish Frequency: Annual  Publish Method: Manual  Data Dictionary

A survey conducted in December 2021 in the United States found that ** percent of the respondents would share their personal information in exchange for free use of e-mail services. Approximately ** percent said they would rather use messaging apps and social networks for free and have their data shared than pay for them.

R code and data for a landscape scan of data services at academic libraries. Original data is licensed CC By 4.0, data obtained from other sources is licensed according to the original licensing terms. R scripts are licensed under the BSD 3-clause license. Summary This work generally focuses on four questions:

Which research data services does an academic library provide? For a subset of those services, what form does the support come in? i.e. consulting, instruction, or web resources? Are there differences in support between three categories of services: data management, geospatial, and data science? How does library resourcing (i.e. salaries) affect the number of research data services?

Approach Using direct survey of web resources, we investigated the services offered at 25 Research 1 universities in the United States of America. Please refer to the included README.md files for more information.

For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu

Online Data Services Joint Stock Company Whois Database, discover comprehensive ownership details, registration dates, and more for Online Data Services Joint Stock Company with Whois Data Center.

Data-entry Outsourcing Services Market Outlook

The global data-entry outsourcing services market size was valued at approximately USD 15.2 billion in 2023 and is forecasted to reach USD 26.3 billion by 2032, growing at a compound annual growth rate (CAGR) of 6.4% during the forecast period. This growth is propelled by the increasing demand for cost-effective data management solutions and the need for enhanced focus on core business activities.

The significant growth driver for this market is the rising adoption of digital transformation initiatives across various industries. As businesses endeavor to become more agile and competitive, they are increasingly seeking outsourced data-entry services to streamline their operations. By outsourcing data-entry tasks, organizations can allocate more resources to strategic functions, thereby enhancing overall productivity and efficiency. This trend is particularly noticeable in sectors such as BFSI and healthcare, where large volumes of data need to be processed accurately and promptly.

Technological advancements are another key growth factor for the data-entry outsourcing services market. The integration of Artificial Intelligence (AI) and Machine Learning (ML) in data-entry processes has significantly reduced error rates and improved data accuracy. These technologies enable automated data capture and processing, thereby minimizing manual intervention and associated errors. As AI and ML continue to evolve, their adoption in data-entry processes is expected to rise, further boosting the market growth.

Moreover, the growing emphasis on data security and regulatory compliance is driving the demand for professional data-entry outsourcing services. With stringent data protection regulations such as GDPR and CCPA in place, businesses are compelled to ensure that their data management processes comply with these standards. Outsourcing data-entry tasks to specialized service providers can help organizations mitigate the risks associated with data breaches and non-compliance, thereby safeguarding their reputation and avoiding hefty penalties.

From a regional perspective, Asia Pacific is expected to dominate the data-entry outsourcing services market, followed by North America and Europe. The region's dominance can be attributed to the presence of a large number of outsourcing service providers, coupled with the availability of a skilled workforce at competitive costs. Additionally, the rapid economic growth in countries such as India and China is driving the demand for data-entry services in the region. North America and Europe, on the other hand, are witnessing steady growth due to the increasing adoption of digital transformation initiatives and the need for cost-effective data management solutions.

Service Type Analysis

The service type segment in the data-entry outsourcing services market encompasses various sub-segments, including online data entry, offline data entry, data processing, data conversion, data capture, and others. Each sub-segment serves a distinct purpose, catering to the diverse needs of businesses across different industries.

Online data entry services involve the entry and management of data directly into an online database or system. This sub-segment is gaining popularity due to the increasing use of cloud-based solutions and the need for real-time data access and management. Online data entry services offer the advantage of seamless integration with other business systems, enabling organizations to efficiently manage their data and improve decision-making processes.

Offline data entry services, on the other hand, involve the entry of data into offline systems or databases. Despite the growing adoption of online solutions, offline data entry services continue to hold significant importance, particularly in regions with limited internet connectivity or in industries where data privacy is paramount. These services ensure that organizations can maintain accurate and up-to-date records, even in the absence of an online infrastructure.

Data processing services encompass a wide range of activities, including data cleaning, data validation, data enrichment, and data analysis. These services are crucial for organizations to ensure the accuracy and consistency of their data, which is essential for informed decision-making. The increasing volume of data generated by businesses is driving the demand for data processing services, as organizations seek to derive valuable insights from their data.

A listing of web services published from the authoritative East Baton Rouge Parish Geographic Information System (EBRGIS) data repository. Services are offered in Esri REST, and the Open Geospatial Consortium (OGC) Web Mapping Service (WMS) or Web Feature Service (WFS) formats.

According to a June 2025 survey in the United States, millennials were more likely to think that consumers should have the right to share their bank account or credit card information with other financial tools and services. Roughly eight in 10 respondents of this age category stated they believed so. In comparison, 67 percent of Boomers, those aged 61 to 79 years old, said it was a good idea.

Data Entry Service Market Outlook

The global data entry service market size is poised to experience significant growth, with the market expected to rise from USD 2.5 billion in 2023 to USD 4.8 billion by 2032, achieving a Compound Annual Growth Rate (CAGR) of 7.5% over the forecast period. This growth can be attributed to several factors including the increasing adoption of digital technologies, the rising demand for data accuracy and integrity, and the need for businesses to manage vast amounts of data efficiently.

One of the key growth factors driving the data entry service market is the rapid digital transformation across various industries. As businesses continue to digitize their operations, the volume of data generated has increased exponentially. This data needs to be accurately entered, processed, and managed to derive meaningful insights. The demand for data entry services has surged as companies seek to outsource these non-core activities, enabling them to focus on their primary business operations. Additionally, the widespread adoption of cloud-based solutions and big data analytics has further fueled the demand for efficient data management services.

Another significant driver of market growth is the increasing need for data accuracy and integrity. Inaccurate or incomplete data can lead to poor decision-making, financial losses, and a decrease in operational efficiency. Organizations are increasingly recognizing the importance of maintaining high-quality data and are investing in data entry services to ensure that their databases are accurate, up-to-date, and reliable. This is particularly crucial for industries such as healthcare, BFSI, and retail, where precise data is essential for regulatory compliance, customer relationship management, and operational efficiency.

The cost-effectiveness of outsourcing data entry services is also contributing to market growth. By outsourcing these tasks to specialized service providers, organizations can save on labor costs, reduce operational expenses, and improve productivity. Service providers often have access to advanced tools and technologies, as well as skilled professionals who can perform data entry tasks more efficiently and accurately. This not only leads to cost savings but also allows businesses to reallocate resources to more strategic activities, driving overall growth.

From a regional perspective, the Asia Pacific region is expected to witness the highest growth in the data entry service market during the forecast period. This can be attributed to the region's strong IT infrastructure, the presence of numerous outsourcing service providers, and the growing adoption of digital technologies across various industries. North America and Europe are also significant markets, driven by the high demand for data management services in sectors such as healthcare, BFSI, and retail. The Middle East & Africa and Latin America are anticipated to experience steady growth, supported by increasing investments in digital infrastructure and the rising awareness of the benefits of data entry services.

Service Type Analysis

The data entry service market can be segmented into various service types, including online data entry, offline data entry, data processing, data conversion, data cleansing, and others. Each of these service types plays a crucial role in ensuring the accuracy, integrity, and usability of data. Online data entry services involve entering data directly into an online system or database, which is essential for real-time data management and accessibility. This service type is particularly popular in industries such as e-commerce, where timely and accurate data entry is critical for inventory management and customer service.

Offline data entry services, on the other hand, involve entering data into offline systems or databases, which are later synchronized with online systems. This service type is often used in industries where internet connectivity may be unreliable or where data security is a primary concern. Offline data entry is also essential for processing historical data or data that is collected through physical forms and documents. The demand for offline data entry services is driven by the need for accurate and timely data entry in sectors such as manufacturing, government, and healthcare.

Data processing services involve the manipulation, transformation, and analysis of raw data to produce meaningful information. This includes tasks such as data validation, data sorting, data aggregation, and data analysis. Data processing is a critical componen

A February 2023 survey in the United Kingdom (UK) found that about ** percent of the respondents between 16 and 24 years were willing to share personal data in return for free online services. Older respondents, meanwhile, were less likely to do so. Over ** percent of the respondents aged 55 years and older said they would strongly disagree with sharing personal information for free online services, like news articles, games, and social media.

The global online data entry service market is anticipated to reach a substantial market size of USD XXX million by 2033, exhibiting a CAGR of XX% during the forecast period (2025-2033). The base year considered for the study is 2025, and the historical period is from 2019 to 2024. The market value is expressed in million US dollars. Key drivers fueling the growth of the online data entry service market include the increasing demand for efficient and accurate data management, the rise of e-commerce and digitalization across industries, and the growing need for data analytics and insights to drive business decisions. Moreover, the adoption of artificial intelligence (AI) and machine learning (ML) technologies in data entry processes is expected to enhance productivity and reduce errors, further boosting market growth. The market is segmented based on application (BFSI, IT and Telecom, Manufacturing, Healthcare, Others), type (Images, Videos, Texts, Audio Files), and region (North America, Europe, Asia Pacific, South America, Middle East & Africa).

Comprehensive dataset of 36,916 Internet marketing services in United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Can your desktop computer crunch the large GIS datasets that are becoming increasingly common across the geosciences? Do you have access to, or the know how to, take advantage of advanced high performance computing (HPC) capability? Web based cyberinfrastructure takes work off your desk or laptop computer and onto infrastructure or "cloud" based data and processing servers. This talk will describe the HydroShare collaborative environment and web based services being developed to support the sharing and processing of hydrologic data and models. HydroShare supports the storage and sharing of a broad class of hydrologic data including time series, geographic features and rasters, multidimensional space-time data and structured collections of data representing river geometry. Web service tools and a python client library provide researchers with access to high performance computing resources without requiring them to become HPC experts. This reduces the time and effort spent in finding and organizing the data required to prepare the inputs for hydrologic models and facilitates the management of online data and execution of models on HPC systems. This talk will illustrate web and client based use of data services that support the delineation of watersheds to define a modeling domain, then extract terrain and land use information to automatically configure the inputs required for hydrologic models. These services support the Terrain Analysis Using Digital Elevation Model (TauDEM) tools for watershed delineation and generation of hydrology-based terrain information such as wetness index and stream networks. These services also support the derivation of inputs for the Utah Energy Balance snowmelt model used to address questions such as how climate, land cover and land use change may affect snowmelt inputs to runoff generation. These cases serve as examples for how this approach can be extended to other models to enhance the use of web and data services in the geosciences.

Presentation at Kansas University GIS Days November 18, 2015

Graph and download economic data for Real Gross Domestic Product: Private Industries: Information: Data Processing, Internet Publishing, and Other Information Services for United States Metropolitan Portion (RGMPDATAWWWUSMP) from 2001 to 2016 about metropolitan portion, internet, printing, information, private industries, services, private, real, industry, GDP, and USA.

Data Entry Service Market size was valued at USD 35.0 Billion in 2024 and is projected to reach USD 60.5 Billion by 2032, growing at a CAGR of 7.2% during the forecast period 2026-2032.• Increasing the Adoption of Digital Transformation Initiatives: Business processes become increasingly digitized, creating a greater demand for precise and effective data entry services to manage expanding volumes of digital data.• Growth of E-commerce and Online Retail Platforms: The rise of e-commerce platforms increased the demand for data entry services, as product listings, customer data, and transaction records must be constantly updated and managed.

A multidisciplinary repository of public data sets such as the Human Genome and US Census data that can be seamlessly integrated into AWS cloud-based applications. AWS is hosting the public data sets at no charge for the community. Anyone can access these data sets from their Amazon Elastic Compute Cloud (Amazon EC2) instances and start computing on the data within minutes. Users can also leverage the entire AWS ecosystem and easily collaborate with other AWS users. If you have a public domain or non-proprietary data set that you think is useful and interesting to the AWS community, please submit a request and the AWS team will review your submission and get back to you. Typically the data sets in the repository are between 1 GB to 1 TB in size (based on the Amazon EBS volume limit), but they can work with you to host larger data sets as well. You must have the right to make the data freely available.

According to a June 2025 survey among FinTech users in the United States, roughly seven in 10 respondents expressed worries that financial data sharing restrictions would limit their options. Additionally, 79 percent of respondents said the government should play an active role in protecting consumer access from interference by big banks.

Between January 2020 and April 2024, the United States Federal Trade Commission (FTC) took legal enforcement actions against 12 companies providing online and mobile services for violations of data privacy and security laws. The most recent case involved AT&T Mobility, which, in April 2024, agreed to pay 927,536 U.S. dollars in penalties for engaging in “mobile cramming.” This practice involved charging consumers for third-party services on their mobile telephone bills without their authorization.

Comprehensive dataset of 8,270 Internet marketing services in Russia as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

This dataset lists various data sources used within the Department of Community Resources & Services for various internal and external reports. This dataset allows individuals and organizations to identify the type of data they are looking for and to which geographical level they are trying to get the data for (i.e. National, State, County, etc.). This dataset will be updated every quarter and should be utilized for research purposes