Solutions and Challenges For Cloud Accounting Implementation in SMEs : A Systematic Literature ReviewSmall and Medium Enterprises (SMEs) frequently encounter financial management challenges due to limited resources and outdated accounting systems. Cloud accounting is seen as a promising solution, offering cost-effective, flexible, and accessible tools for managing financial data. This study aims to identify the key factors influencing the adoption of cloud accounting among SMEs, as well as its main benefits and challenges. Employing a qualitative approach with the Systematic Literature Review (SLR) method and PRISMA process, articles were sourced from five major databases: Scopus, Science Direct, Emerald Insight, IEEE, and Taylor & Francis. From an initial 28,817 articles, 28 relevant papers were selected for in-depth analysis. The findings reveal that cost savings, flexibility, and real-time accessibility are the primary benefits of cloud accounting for SMEs. However, adoption is still hindered by concerns regarding data security, dependence on stable internet connections, and privacy issues involving third parties. Recommendations include enhancing security standards by cloud service providers, government support for infrastructure and training, and transparent data management. Future research should further explore sector-specific adoption factors and effective strategies to overcome these challenges.

One of the four primary use cases for open contracting is promoting integrity. Public contracting and procurement is government’s single greatest corruption risk, a fact highlighted by the OECD, the UN Office of Drugs and Crime, and the European Commission. Some 57% of foreign bribery cases prosecuted under the OECD Anti-Bribery Convention involved bribes to obtain public contracts. One of the exciting promises of real-time data and analytics in public procurement is that corruption and fraud can potentially be detected and prevented before they occur, rather than leaving government to pick up the pieces afterwards. Similarly, potentially anomalous patterns of bidding or contract allocation can be scrutinised directly to check for potential problems as they occur, supporting innovative, data-driven policy solutions to reinforce the most promising practices in integrity and fairness. An additional value of open data is that it allows different actors to check the integrity of the system at different times from their own unique user perspective, enabling a more robust analysis and potentially preventing a single point of failure.

Tempe relies on data to inform and support decision making for the city’s Homeless Solutions strategy. This comprehensive effort ensures that the city has the most up-to-date information to meet needs, identify emerging trends and create solutions. In this hub site, you’ll find data related to:Outreach and engagementReporting homeless encampmentsVerifying and resolving encampmentsAnnual Point-in-Time homeless countSite is Google Translate enabled. DO NOT DELETE OR MODIFY THIS ITEM. This item is managed by the ArcGIS Hub application. To make changes to this page, please visit https://tempegov.hub.arcgis.com:/overview/edit.

Further to the original Enterprise Application request, the contract below has expired. Please provide the current status. Finance Capita CRM Trustmarque Solutions Ltd I'd like to apologise for the length of this request, and how tedious it may be to handle. That being said, please make an effort to provide all of this information. The information I'm requesting is regarding the software contracts that the organisation uses, for the following fields.Enterprise Resource Planning Software Solution (ERP): Primary Customer Relationship Management Solution (CRM): For example, Salesforce, Lagan CRM, Microsoft Dynamics; software of this nature. Primary Human Resources (HR) and Payroll Software Solution: For example, iTrent, ResourceLink, HealthRoster; software of this nature. The organisation’s primary corporate Finance Software Solution: For example, Agresso, Integra, Sapphire Systems; software of this nature. Name of Supplier: Can you please provide me with the software provider for each contract? The brand of the software: Can you please provide me with the actual name of the software. Please do not provide me with the supplier name again please provide me with the actual software name. Description of the contract: Can you please provide me with detailed information about this contract and please state if upgrade, maintenance and support is included. Please also list the software modules included in these contracts. Number of Users/Licenses: What is the total number of user/licenses for this contract? Annual Spend: What is the annual average spend for each contract? Contract Duration: What is the duration of the contract please include any available extensions within the contract. Contract Start Date: What is the start date of this contract? Please include month and year of the contract. DD-MM-YY or MM-YY. Contract Expiry: What is the expiry date of this contract? Please include month and year of the contract. DD-MM-YY or MM-YY.

Calls in favour of Open Data in research are becoming overwhelming. They are at national [@RCKUOpen] and international levels [@Moedas2015, @RSOpen, @ams2016]. I will set out a working definition of Open Data and will discuss the key challenges preventing the publication of Open Data becoming standard practice. I will attempt to draw some general solutions to those challenges from field specific examples.

The California Health and Human Services Agency (CHHS) has launched its Open Data Portal initiative in order to increase public access to one of the State’s most valuable assets – non-confidential health and human services data. Its goals are to spark innovation, promote research and economic opportunities, engage public participation in government, increase transparency, and inform decision-making. "Open Data" describes data that are freely available, machine-readable, and formatted according to national technical standards to facilitate visibility and reuse of published data.

The following datasets are based on the children and youth (under age 21) beneficiary population and consist of aggregate Mental Health Service data derived from Medi-Cal claims, encounter, and eligibility systems. These datasets were developed in accordance with California Welfare and Institutions Code (WIC) § 14707.5 (added as part of Assembly Bill 470 on 10/7/17). Please contact BHData@dhcs.ca.gov for any questions or to request previous years’ versions of these datasets. Note: The Performance Dashboard AB 470 Report Application Excel tool development has been discontinued. Please see the Behavioral Health reporting data hub at https://behavioralhealth-data.dhcs.ca.gov/ for access to dashboards utilizing these datasets and other behavioral health data.

Success.ai offers a cutting-edge solution for businesses and organizations seeking Company Financial Data on private and public companies. Our comprehensive database is meticulously crafted to provide verified profiles, including contact details for financial decision-makers such as CFOs, financial analysts, corporate treasurers, and other key stakeholders. This robust dataset is continuously updated and validated using AI technology to ensure accuracy and relevance, empowering businesses to make informed decisions and optimize their financial strategies.

Key Features of Success.ai's Company Financial Data:

Global Coverage: Access data from over 70 million businesses worldwide, including public and private companies across all major industries and regions. Our datasets span 250+ countries, offering extensive reach for your financial analysis and market research.

Detailed Financial Profiles: Gain insights into company financials, including revenue, profit margins, funding rounds, and operational costs. Profiles are enriched with key contact details, including work emails, phone numbers, and physical addresses, ensuring direct access to decision-makers.

Industry-Specific Data: Tailored datasets for sectors such as financial services, manufacturing, technology, healthcare, and energy, among others. Each dataset is customized to meet the unique needs of industry professionals and analysts.

Real-Time Accuracy: With continuous updates powered by AI-driven validation, our financial data maintains a 99% accuracy rate, ensuring you have access to the most reliable and up-to-date information available.

Compliance and Security: All data is collected and processed in strict adherence to global compliance standards, including GDPR, ensuring ethical and lawful usage.

Why Choose Success.ai for Company Financial Data?

Best Price Guarantee: We pride ourselves on offering the most competitive pricing in the industry, ensuring you receive unparalleled value for comprehensive financial data.

AI-Validated Accuracy: Our advanced AI algorithms meticulously verify every data point to ensure precision and reliability, helping you avoid costly errors in your financial decision-making.

Customized Data Solutions: Whether you need data for a specific region, industry, or type of business, we tailor our datasets to align perfectly with your requirements.

Scalable Data Access: From small startups to global enterprises, our platform caters to businesses of all sizes, delivering scalable solutions to suit your operational needs.

Comprehensive Use Cases for Financial Data:

1. Strategic Financial Planning:

Leverage our detailed financial profiles to create accurate budgets, forecasts, and strategic plans. Gain insights into competitors’ financial health and market positions to make data-driven decisions.

1. Mergers and Acquisitions (M&A):

Access key financial details and contact information to streamline your M&A processes. Identify potential acquisition targets or partners with verified profiles and financial data.

1. Investment Analysis:

Evaluate the financial performance of public and private companies for informed investment decisions. Use our data to identify growth opportunities and assess risk factors.

1. Lead Generation and Sales:

Enhance your sales outreach by targeting CFOs, financial analysts, and other decision-makers with verified contact details. Utilize accurate email and phone data to increase conversion rates.

1. Market Research:

Understand market trends and financial benchmarks with our industry-specific datasets. Use the data for competitive analysis, benchmarking, and identifying market gaps.

APIs to Power Your Financial Strategies:

Enrichment API: Integrate real-time updates into your systems with our Enrichment API. Keep your financial data accurate and current to drive dynamic decision-making and maintain a competitive edge.

Lead Generation API: Supercharge your lead generation efforts with access to verified contact details for key financial decision-makers. Perfect for personalized outreach and targeted campaigns.

Tailored Solutions for Industry Professionals:

Financial Services Firms: Gain detailed insights into revenue streams, funding rounds, and operational costs for competitor analysis and client acquisition.

Corporate Finance Teams: Enhance decision-making with precise data on industry trends and benchmarks.

Consulting Firms: Deliver informed recommendations to clients with access to detailed financial datasets and key stakeholder profiles.

Investment Firms: Identify potential investment opportunities with verified data on financial performance and market positioning.

What Sets Success.ai Apart?

Extensive Database: Access detailed financial data for 70M+ companies worldwide, including small businesses, startups, and large corporations.

Ethical Practices: Our data collection and processing methods are fully comp...

The Katie A. Settlement Agreement requires the Department of Health Care Services (DHCS) to collect and post data used to evaluate utilization of services and timely access to appropriate care. These county datasets show services used by children and youth (under the age of 21) identified as Katie A. Subclass members and/or utilizing Katie A. specialty mental health services (Intensive Care Coordination, Intensive Home Based Services, and Therapeutic Foster Care). This data assists in evaluating each county’s progress with implementing.

Use Cambridge's open data to help our city come up with innovative solutions to its biggest challenges. This dataset lists city issues that you can help us solve by analyzing or hacking on our open data. It's certainly not an exhaustive list, but we hope it will at least point you in the right direction. Feel free to reach out at OpenData@cambridgema.gov with questions or ideas. Thanks for your help. We're glad you're on our team!

Success.ai’s Company Financial Data for Banking & Capital Markets Professionals in the Middle East offers a reliable and comprehensive dataset designed to connect businesses with key stakeholders in the financial sector. Covering banking executives, capital markets professionals, and financial advisors, this dataset provides verified contact details, decision-maker profiles, and firmographic insights tailored for the Middle Eastern market.

With access to over 170 million verified professional profiles and 30 million company profiles, Success.ai ensures your outreach and strategic initiatives are powered by accurate, continuously updated, and AI-validated data. Backed by our Best Price Guarantee, this solution empowers your organization to build meaningful connections in the region’s thriving financial industry.

Why Choose Success.ai’s Company Financial Data?

1. Verified Contact Data for Financial Professionals

   • Access verified email addresses, direct phone numbers, and LinkedIn profiles of banking executives, capital markets advisors, and financial consultants.
   • AI-driven validation ensures 99% accuracy, enabling confident communication and minimizing data inefficiencies.

2. Targeted Insights for the Middle East Financial Sector

   • Includes profiles from major Middle Eastern financial hubs such as Dubai, Riyadh, Abu Dhabi, and Doha, covering diverse institutions like banks, investment firms, and regulatory bodies.
   • Gain insights into region-specific financial trends, regulatory frameworks, and market opportunities.

3. Continuously Updated Datasets

   • Real-time updates reflect changes in leadership, market activities, and organizational structures.
   • Stay ahead of emerging opportunities and align your strategies with evolving market dynamics.

4. Ethical and Compliant

   • Adheres to GDPR, CCPA, and other global privacy regulations, ensuring responsible data usage and compliance with legal standards.

Data Highlights:

• 170M+ Verified Professional Profiles: Engage with decision-makers and professionals in banking, investment management, and capital markets across the Middle East.
• 30M Company Profiles: Access detailed firmographic data, including organization sizes, revenue ranges, and geographic footprints.
• Leadership Contact Information: Connect directly with CEOs, CFOs, risk managers, and regulatory professionals driving financial strategies.
• Decision-Maker Insights: Understand key decision-makers’ roles and responsibilities to tailor your outreach effectively.

Key Features of the Dataset:

1. Decision-Maker Profiles in Banking & Capital Markets

   • Identify and connect with executives, portfolio managers, and analysts shaping investment strategies and financial operations.
   • Target professionals responsible for compliance, risk management, and operational efficiency.

2. Advanced Filters for Precision Targeting

   • Filter institutions by segment (retail banking, investment banking, private equity), geographic location, revenue size, or workforce composition.
   • Tailor campaigns to align with specific financial needs, such as digital transformation, customer retention, or risk mitigation.

3. Firmographic and Leadership Insights

   • Access detailed firmographic data, including company hierarchies, financial health indicators, and service specializations.
   • Gain a deeper understanding of organizational structures and market positioning.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and enhance engagement outcomes.

Strategic Use Cases:

1. Sales and Lead Generation

   • Offer financial technology solutions, consulting services, or compliance tools to banking institutions and investment firms.
   • Build relationships with decision-makers responsible for vendor selection and financial strategy implementation.

2. Market Research and Competitive Analysis

   • Analyze trends in Middle Eastern banking and capital markets to guide product development and market entry strategies.
   • Benchmark against competitors to identify market gaps, emerging niches, and growth opportunities.

3. Partnership Development and Vendor Evaluation

   • Connect with financial institutions seeking strategic partnerships or evaluating service providers for operational improvements.
   • Foster alliances that drive mutual growth and innovation.

4. Recruitment and Talent Solutions

   • Engage HR professionals and hiring managers seeking top talent in finance, compliance, or risk management.
   • Provide staffing solutions, training programs, or workforce optimization tools tailored to the financial sector.

Why Choose Success.ai?

1. Best Price Guarantee
   • Access premium-quality financial data at competitive prices, ensuring strong ROI for your outreach, marketing, and partners...

In accordance with Senate Bill 272, the City of Santa Monica has released a catalog of its enterprise systems. Approved on October 11, 2015, SB 272 adds a section to the California Public Records Act requiring local agencies to create a catalog of Enterprise Systems by July 1, 2016 with annual updates. Enterprise System is defined as: A software application or computer system that collects, stores, exchanges and analyzes information that the agency uses that is both of the following: A multi-departmental system or a system that contains information collected about the public. A system that serves as an original source of data within an agency. An Enterprise System does not include any of the following: - Information Technology security systems, including firewalls and other cybersecurity systems. - Physical access control systems, employee identification management systems, video monitoring and other physical control systems. - Infrastructure and mechanical control systems, including those that control or manage street lights, electrical, natural gas or water or sewer functions. - Systems related to 911 dispatch and operation or emergency services. - Systems that would be restricted from disclosure by Section 6254.19. - The specific records that the information technology system collects, stores, exchanges or analyzes. Exception If the public interest served by not disclosing the information described clearly outweighs the public interest served by disclosure, the local agency may instead provide a system name, brief title or identifier of the system.

NOTE: The 311 dataset is currently showing incorrect values in the "Agency Name" column. Please use the "Agency" column in the interim while this is being resolved.

All 311 Service Requests from 2010 to present. This information is automatically updated daily.

Solutions Architect Job #: 1773 Jurisdiction: CMM Division: Transformation Office Department: Technology

The lecture of the Stanford-IVHM lecture series will give an overview of the approaches in building diagnostic solutions for networks and complex systems. The conventional rule-based approach and the top-down analysis will be compared with other innovative solutions based on information modeling and codebook correlation. One specific solution pioneered by research done in Columbia University and later implemented by SMARTS/EMC will be presented in more detail as an example of a consistent approach to diagnostics. Speaker: Yuri Rabover, Ph.D. VMTurbo Dr. Yuri Rabover, is a co-founder and Director of Product Strategy of VMTurbo, a startup in a stealth mode. Prior to VMTurbo Yuri spent 12 years working for SMARTS as director of engineering, product management and technology partnership. After EMC acquired SMARTS for $275M in 2005, Yuri was managing the Advanced Solution Group in the EMC Corporate CTO Office developing prototypes and proof of concepts of new innovative solutions. He is a seasoned technologist, strategist and researcher in the wide area of system, network and storage management with more than 20 years of industry and academia experience.

The Performance Dashboard (formerly Performance Outcomes System) datasets are developed in accordance with legislative mandates to improve outcomes and inform decision-making for beneficiaries receiving Medi-Cal Specialty Mental Health Services (SMHS). The intent of the Dashboard is to gather information relevant to particular mental health outcomes to provide useful summary reports for ongoing quality improvement and to support decision-making. Please note: the Excel file Performance Dashboard has been discontinued and replaced with the SMHS Performance Dashboards found on Behavioral Health Reporting (ca.gov).

This dataset contains images (scenes) containing fashion products, which are labeled with bounding boxes and links to the corresponding products.

Metadata includes

• product IDs

• bounding boxes

Basic Statistics:

• Scenes: 47,739

• Products: 38,111

• Scene-Product Pairs: 93,274

What’s Included

The Spanish Open-Ended Question Answering Dataset is a meticulously curated collection of comprehensive Question-Answer pairs. It serves as a valuable resource for training Large Language Models (LLMs) and Question-answering models in the Spanish language, advancing the field of artificial intelligence.

This QA dataset comprises a diverse set of open-ended questions paired with corresponding answers in Spanish. There is no context paragraph given to choose an answer from, and each question is answered without any predefined context content. The questions cover a broad range of topics, including science, history, technology, geography, literature, current affairs, and more.

Each question is accompanied by an answer, providing valuable information and insights to enhance the language model training process. Both the questions and answers were manually curated by native Spanish people, and references were taken from diverse sources like books, news articles, websites, and other reliable references.

This question-answer prompt completion dataset contains different types of prompts, including instruction type, continuation type, and in-context learning (zero-shot, few-shot) type. The dataset also contains questions and answers with different types of rich text, including tables, code, JSON, etc., with proper markdown.

To ensure diversity, this Q&A dataset includes questions with varying complexity levels, ranging from easy to medium and hard. Different types of questions, such as multiple-choice, direct, and true/false, are included. Additionally, questions are further classified into fact-based and opinion-based categories, creating a comprehensive variety. The QA dataset also contains the question with constraints and persona restrictions, which makes it even more useful for LLM training.

To accommodate varied learning experiences, the dataset incorporates different types of answer formats. These formats include single-word, short phrases, single sentences, and paragraph types of answers. The answer contains text strings, numerical values, date and time formats as well. Such diversity strengthens the Language model's ability to generate coherent and contextually appropriate answers.

This fully labeled Spanish Open Ended Question Answer Dataset is available in JSON and CSV formats. It includes annotation details such as id, language, domain, question_length, prompt_type, question_category, question_type, complexity, answer_type, rich_text.

The dataset upholds the highest standards of quality and accuracy. Each question undergoes careful validation, and the corresponding answers are thoroughly verified. To prioritize inclusivity, the dataset incorporates questions and answers representing diverse perspectives and writing styles, ensuring it remains unbiased and avoids perpetuating discrimination.

Both the question and answers in Spanish are grammatically accurate without any word or grammatical errors. No copyrighted, toxic, or harmful content is used while building this dataset.

The entire dataset was prepared with the assistance of human curators from the FutureBeeAI crowd community. Continuous efforts are made to add more assets to this dataset, ensuring its growth and relevance. Additionally, FutureBeeAI offers the ability to collect custom question-answer data tailored to specific needs, providing flexibility and customization options.

The dataset, created by FutureBeeAI, is now ready for commercial use. Researchers, data scientists, and developers can utilize this fully labeled and ready-to-deploy Spanish Open Ended Question Answer Dataset to enhance the language understanding capabilities of their generative ai models, improve response generation, and explore new approaches to NLP question-answering tasks.

‘I would be most grateful if you would provide me, under the Freedom of Information Act, details in respect to the contract below. Cloud Migration Support Servics: https://www.contractsfinder.service.gov.uk/Notice/76f7f9a6-32ff-48d5-aeb2-dfe96b492250 The details we require are: • What are the contractual performance KPI's for this contract? • Suppliers who applied for inclusion on each framework/contract and were successful & not successful at the PQQ & ITT stages • Actual spend on this contract/framework (and any sub lots), from the start of the contract to the current date • Start date & duration of framework/contract? • Could you please provide a copy of the service/product specification given to all bidders for when this contract was last advertised? • Is there an extension clause in the framework(s)/contract(s) and, if so, the duration of the extension? • Has a decision been made yet on whether the framework(s)/contract(s) are being either extended or renewed? • Who is the senior officer (outside of procurement) responsible for this contract? The NHS Business Services Authority (NHSBSA) received your request on 1 May 2024. We have handled your request under the Freedom of Information Act (FOIA) 2000.

Neonomics is a company that specializes in open banking solutions, providing a new generation of payments and financial data solutions that prioritize people. With a focus on innovation and security, Neonomics aims to revolutionize the way businesses and individuals interact with their financial data. The company's products and services include Checkout, a payment solution that allows customers to pay online, and Platform Services, which offers extensive payment connectivity and account data integration.

By leveraging its expertise in open banking, Neonomics enables businesses to streamline their financial operations, improve customer experiences, and reduce costs. With a strong presence in the Nordics, Neonomics is well-positioned to support the region's rapidly evolving fintech landscape. As a licensed Payment Institution (PI), Payment Initiation Service Provider (PISP), and Account Information Service Provider (AISP), Neonomics ensures that its solutions are secure, compliant, and compliant with regulatory requirements.