Automatic data processing

Automatic Data Processing Inc Company profile Unlock Automatic Data Processing Inc profile and new opportunities for your business • Save hours of research time and resources with our up-to-date, most comprehensive Automatic Data Processing Inc. report available on the market • Understand Automatic Data Processing Inc position in the market, performance and strategic initiatives • Gain competitive edge and increase your chances of success Automatic Data Processing Inc (ADP) provides cloud-based human capital management (HCM) solutions. The company provides payroll services, benefits administration, recruiting and talent management, human resources management, contractor management, time and attendance management, insurance services, retirement services and payment and compliance solutions. It also offers wage and tax collection and remittance services. ADP serves a wide range of industries such as restaurant and hospitality, manufacturing, professional and technical services, construction, financial services, retail, healthcare, government and educational institutions, and other non-profit social organizations. ADP markets its solutions through direct sales force and indirect sales channels. The company operates its business across the Americas, Africa, Europe, and Asia-Pacific. ADP is headquartered in Roseland, New Jersey, the US. Year Event Description 2023 Contracts/Agreements In February, the company announced new sponsorships with the Advocates Pro Golf Association (A...

Imagine what it must have been like to be a business owner in 1850. You would’ve had to record—by hand—every interaction with each customer who walked through your doors. Then every week, month, and year, you’d need to balance the company books to make sure everything added up the way it was supposed to. Luckily for businesses everywhere, technology has allowed us to leave this kind of manual data entry where it belongs: in the past. That’s because there’s a new, easier method in place. It’s called “automated data processing,” and it’s something modern businesses need to seriously consider if they want to grow more efficiently. What is automated data processing? Automated data processing is where you rely on a tool or software to handle the organization, structure, and movement of your data. That way, rather than needing to manually record each transaction with your business, your automation tool will do the heavy lifting for you. Report-building tools are an excellent example of this. Imagine a content marketing manager trying to keep her clients up to date with how successful their SEO campaigns have been. Rather than entering large amounts of data by hand, she could simply use a tool that automatically propagates data like: • Conversions from organic traffic This is one of the simplest examples of automated data processing. As you can see, not only would this content manager save hours of time each week, but she’d also have more reliable data that isn’t prone to costly ...

Year Revenues ($M) Profits ($M) Assets ($M) Total Stockholder Equity ($M) 2022 $15,005 2.8% $2,599 5.4% $48,773 $5,670 2021 $14,590 2.9% $2,467 7.6% $39,166 $5,752 2020 $14,175 6.4% $2,293 41.5% $41,888 $5,400 2019 $13,326 7.6% $1,621 -6.5% $37,089 $3,460 2018 $12,380 6.1% $1,733 16.1% $37,180 $3,977 © 2023 Fortune Media IP Limited. All Rights Reserved. Use of this site constitutes acceptance of our FORTUNE is a trademark of Fortune Media IP Limited, registered in the U.S. and other countries. FORTUNE may receive compensation for some links to products and services on this website. Offers may be subject to change without notice. S&P Index data is the property of Chicago Mercantile Exchange Inc. and its licensors. All rights reserved.

Optimizing data with automated intelligent document processing solutions by Deependra Shekhawat, Anirudha Satish Mhase, Bhajandeep Singh, and Senaka Ariyasinghe | on 28 APR 2023 | in Amazon Comprehend, Amazon Machine Learning, Amazon SageMaker, Amazon Textract, Architecture, Artificial Intelligence, Customer Solutions, Python | Comments | Share • • • • • Many organizations struggle to effectively manage and derive insights from the large amount of unstructured data locked in emails, PDFs, images, scanned documents, and more. The variety of formats, document layouts, and text makes it difficult for any standard Optical Character Recognition (OCR) to extract key insights from these data sources. To help organizations overcome these document management and information extraction challenges, AWS offers connected, pre-trained artificial intelligence (AI) service APIs that help drive business outcomes from these document-based rich data sources. This blog post describes a cost-effective, scalable automated intelligent document processing solution that leverages a Natural Processing Language (NLP) engine using Customer document management challenges Customers across industry verticals experience the following document management challenges: • Extraction process accuracy varies significantly when applied to diverse sources; specifically handwritten text, images, and scanned documents. • Existing scripting and rule-based solutions cannot provide customer domain or problem-specific ...

Marc Rind, Chief Data Scientist Technological advancements aimed at simplifying operations have permeated every sector. Initiatives to drive automation in the finance and human resource management sectors are no exceptions. However, incidentally, payroll continues to remain one of the most manually intensive processes in HR and finance. Manual data entry—even for minor, mundane tasks— makes payroll processing highly inefficient and prone to human errors. Besides, traditionally used payroll solutions often fail to accommodate specific business requirements, forcing organizations to use different applications for managing different payroll needs. On top of that, new and ever-changing regulations and evolving employee expectations further add layers to an already complex payroll system. Reinventing payroll processing is the human capital management behemoth Automatic Data Processing, Inc., better known as Keeping in mind different payroll requirements for businesses of different sizes, ADP has come up with personalized payroll solutions suited to small, mid-sized, and large organizations. Realizing the need for compact, efficient, and affordable payroll solutions for small businesses, RUN Powered by ADP—ADP’s small business payroll solution—ensures clients pay only for solutions they need for the time being while having the option to add-on services later as their business grows. This certainly helps small businesses focus on growing their business while leaving all the techn...

For other uses, see Data processing is the information processing, which is the modification (processing) of information in any manner detectable by an observer. The term "Data Processing", or "DP" has also been used to refer to a department within an organization responsible for the operation of data processing programs. Data processing functions [ ] Data processing may involve various processes, including: • • • • • • • History [ ] The Manual data processing [ ] Although widespread use of the term data processing dates only from the 1950's, The Automatic data processing [ ] The term Electronic data processing [ ] Computerized data processing, or Other developments [ ] The term data processing has mostly been subsumed by the more general term Association of Information Technology Professionals. Nevertheless, the terms are approximately synonymous. Applications [ ] Commercial data processing [ ] Main article: Commercial data processing involves a large volume of input data, relatively few computational operations, and a large volume of output. For example, an insurance company needs to keep records on tens or hundreds of thousands of policies, print and mail bills, and receive and post payments. Data analysis [ ] Main article: In science and engineering, the terms data processing and data processing is typically used for the initial stage followed by a Data analysis uses specialized Systems [ ] A data processing system is a combination of A term commonly used synonymously ...

91.43B 17.66B Net Income (ttm) 3.26B Shares Out 413.12M EPS (ttm) 7.82 PE Ratio 28.30 Forward PE 31.95 Dividend $5.00 (2.26%) Ex-Dividend Date Jun 8, 2023 Volume 3,337,403 Open 222.29 Previous Close 220.97 Day's Range 220.74 - 222.74 52-Week Range 196.61 - 274.92 Beta 0.82 Analysts Hold Price Target 238.80 (+7.9%) Earnings Date Jul 26, 2023 About ADP Automatic Data Processing, Inc. provides cloud-based human capital management solutions worldwide. It operates in two segments, Employer Services and Professional Employer Organization (PEO). The Employer Services segment offers strategic, cloud-based platforms, and human resources (HR) outsourcing solutions. Its offerings include payroll, benefits administration, talent management, HR management, workforce management, insurance, retirement, and compliance services, as well as integrated HCM solutions. The PEO Services segment provides HR outso...

Optimizing data with automated intelligent document processing solutions by Deependra Shekhawat, Anirudha Satish Mhase, Bhajandeep Singh, and Senaka Ariyasinghe | on 28 APR 2023 | in Amazon Comprehend, Amazon Machine Learning, Amazon SageMaker, Amazon Textract, Architecture, Artificial Intelligence, Customer Solutions, Python | Comments | Share • • • • • Many organizations struggle to effectively manage and derive insights from the large amount of unstructured data locked in emails, PDFs, images, scanned documents, and more. The variety of formats, document layouts, and text makes it difficult for any standard Optical Character Recognition (OCR) to extract key insights from these data sources. To help organizations overcome these document management and information extraction challenges, AWS offers connected, pre-trained artificial intelligence (AI) service APIs that help drive business outcomes from these document-based rich data sources. This blog post describes a cost-effective, scalable automated intelligent document processing solution that leverages a Natural Processing Language (NLP) engine using Customer document management challenges Customers across industry verticals experience the following document management challenges: • Extraction process accuracy varies significantly when applied to diverse sources; specifically handwritten text, images, and scanned documents. • Existing scripting and rule-based solutions cannot provide customer domain or problem-specific ...

Imagine what it must have been like to be a business owner in 1850. You would’ve had to record—by hand—every interaction with each customer who walked through your doors. Then every week, month, and year, you’d need to balance the company books to make sure everything added up the way it was supposed to. Luckily for businesses everywhere, technology has allowed us to leave this kind of manual data entry where it belongs: in the past. That’s because there’s a new, easier method in place. It’s called “automated data processing,” and it’s something modern businesses need to seriously consider if they want to grow more efficiently. What is automated data processing? Automated data processing is where you rely on a tool or software to handle the organization, structure, and movement of your data. That way, rather than needing to manually record each transaction with your business, your automation tool will do the heavy lifting for you. Report-building tools are an excellent example of this. Imagine a content marketing manager trying to keep her clients up to date with how successful their SEO campaigns have been. Rather than entering large amounts of data by hand, she could simply use a tool that automatically propagates data like: • Conversions from organic traffic This is one of the simplest examples of automated data processing. As you can see, not only would this content manager save hours of time each week, but she’d also have more reliable data that isn’t prone to costly ...

91.43B 17.66B Net Income (ttm) 3.26B Shares Out 413.12M EPS (ttm) 7.82 PE Ratio 28.30 Forward PE 31.95 Dividend $5.00 (2.26%) Ex-Dividend Date Jun 8, 2023 Volume 3,337,403 Open 222.29 Previous Close 220.97 Day's Range 220.74 - 222.74 52-Week Range 196.61 - 274.92 Beta 0.82 Analysts Hold Price Target 238.80 (+7.9%) Earnings Date Jul 26, 2023 About ADP Automatic Data Processing, Inc. provides cloud-based human capital management solutions worldwide. It operates in two segments, Employer Services and Professional Employer Organization (PEO). The Employer Services segment offers strategic, cloud-based platforms, and human resources (HR) outsourcing solutions. Its offerings include payroll, benefits administration, talent management, HR management, workforce management, insurance, retirement, and compliance services, as well as integrated HCM solutions. The PEO Services segment provides HR outso...