In 2020, according to respondents surveyed, data masters typically leverage a variety of external data sources to enhance their insights. The most popular external data sources for data masters being publicly available competitor data, open data, and proprietary datasets from data aggregators, with **, **, and ** percent, respectively.

A dataset of business license applications and their statuses from January 1st, 2018 to current day.

external ownership data form

A dataset of commercial and residential building permit applications and their statuses from January 1st, 2018 to current day. Specific permit types in this dataset are limited to Accessory Structure, Construction Loop, Demolition, Mechanical Fuel Gas, Mechanical HVAC, New Construction, Renovation (Non-Structural), Renovation (Structural), Repair/Replacement/Addition, Service/Circuit/Feeder.

Abstract

The intention is to collect data for the calendar year 2009 (or the nearest year for which each business keeps its accounts. The survey is considered a one-off survey, although for accurate NAs, such a survey should be conducted at least every five years to enable regular updating of the ratios, etc., needed to adjust the ongoing indicator data (mainly VAGST) to NA concepts. The questionnaire will be drafted by FSD, largely following the previous BAS, updated to current accounting terminology where necessary. The questionnaire will be pilot tested, using some accountants who are likely to complete a number of the forms on behalf of their business clients, and a small sample of businesses. Consultations will also include Ministry of Finance, Ministry of Commerce, Industry and Labour, Central Bank of Samoa (CBS), Samoa Tourism Authority, Chamber of Commerce, and other business associations (hotels, retail, etc.).

The questionnaire will collect a number of items of information about the business ownership, locations at which it operates and each establishment for which detailed data can be provided (in the case of complex businesses), contact information, and other general information needed to clearly identify each unique business. The main body of the questionnaire will collect data on income and expenses, to enable value added to be derived accurately. The questionnaire will also collect data on capital formation, and will contain supplementary pages for relevant industries to collect volume of production data for selected commodities and to collect information to enable an estimate of value added generated by key tourism activities.

The principal user of the data will be FSD which will incorporate the survey data into benchmarks for the NA, mainly on the current published production measure of GDP. The information on capital formation and other relevant data will also be incorporated into the experimental estimates of expenditure on GDP. The supplementary data on volumes of production will be used by FSD to redevelop the industrial production index which has recently been transferred under the SBS from the CBS. The general information about the business ownership, etc., will be used to update the Business Register.

Outputs will be produced in a number of formats, including a printed report containing descriptive information of the survey design, data tables, and analysis of the results. The report will also be made available on the SBS website in “.pdf” format, and the tables will be available on the SBS website in excel tables. Data by region may also be produced, although at a higher level of aggregation than the national data. All data will be fully confidentialised, to protect the anonymity of all respondents. Consideration may also be made to provide, for selected analytical users, confidentialised unit record files (CURFs).

A high level of accuracy is needed because the principal purpose of the survey is to develop revised benchmarks for the NA. The initial plan was that the survey will be conducted as a stratified sample survey, with full enumeration of large establishments and a sample of the remainder.

Geographic coverage

National Coverage

Analysis unit

The main statistical unit to be used for the survey is the establishment. For simple businesses that undertake a single activity at a single location there is a one-to-one relationship between the establishment and the enterprise. For large and complex enterprises, however, it is desirable to separate each activity of an enterprise into establishments to provide the most detailed information possible for industrial analysis. The business register will need to be developed in such a way that records the links between establishments and their parent enterprises. The business register will be created from administrative records and may not have enough information to recognize all establishments of complex enterprises. Large businesses will be contacted prior to the survey post-out to determine if they have separate establishments. If so, the extended structure of the enterprise will be recorded on the business register and a questionnaire will be sent to the enterprise to be completed for each establishment.

SBS has decided to follow the New Zealand simplified version of its statistical units model for the 2009 BAS. Future surveys may consider location units and enterprise groups if they are found to be useful for statistical collections.

It should be noted that while establishment data may enable the derivation of detailed benchmark accounts, it may be necessary to aggregate up to enterprise level data for the benchmarks if the ongoing data used to extrapolate the benchmark forward (mainly VAGST) are only available at the enterprise level.

Universe

The BAS's covered all employing units, and excluded small non-employing units such as the market sellers. The surveys also excluded central government agencies engaged in public administration (ministries, public education and health, etc.). It only covers businesses that pay the VAGST. (Threshold SAT$75,000 and upwards).

Kind of data

Sample survey data [ssd]

Sampling procedure

-Total Sample Size was 1240 -Out of the 1240, 902 successfully completed the questionnaire. -The other remaining 338 either never responded or were omitted (some businesses were ommitted from the sample as they do not meet the requirement to be surveyed) -Selection was all employing units paying VAGST (Threshold SAT $75,000 upwards)

WILL CONFIRM LATER!!

OSO LE MEA E LE FAASA...AEA :-)

Mode of data collection

Mail Questionnaire [mail]

Research instrument

1. General instructions, authority for the survey, etc;
2. Business demography information on ownership, contact details, structure, etc.;
3. Employment;
4. Income;
5. Expenses;
6. Inventories;
7. Profit or loss and reconciliation to business accounts' profit and loss;
8. Fixed assets - purchases, disposals, book values
9. Thank you and signature of respondent.

Supplementary Pages Additional pages have been prepared to collect data for a limited range of industries. 1.Production data. To rebase and redevelop the Industrial Production Index (IPI), it is intended to collect volume of production information from a selection of large manufacturing businesses. The selection of businesses and products is critical to the usefulness of the IPI. The products must be homogeneous, and be of enough importance to the economy to justify collecting the data. Significance criteria should be established for the selection of products to include in the IPI, and the 2009 BAS provides an opportunity to collect benchmark data for a range of products known to be significant (based on information in the existing IPI, CPI weights, export data, etc.) as well as open questions for respondents to provide information on other significant products. 2.Tourism. There is a strong demand for estimates of tourism value added. To estimate tourism value added using the international standard Tourism Satellite Account methodology requires the use of an input-output table, which is beyond the capacity of SBS at present. However, some indicative estimates of the main parts of the economy influenced by tourism can be derived if the necessary data are collected. Tourism is a demand concept, based on defining tourists (the international standard includes both international and domestic tourists), what products are characteristically purchased by tourists, and which industries supply those products. Some questions targeted at those industries that have significant involvement with tourists (hotels, restaurants, transport and tour operators, vehicle hire, etc.), on how much of their income is sourced from tourism would provide valuable indicators of the size of the direct impact of tourism.

Cleaning operations

Partial imputation was done at the time of receipt of questionnaires, after follow-up procedures to obtain fully completed questionnaires have been followed. Imputation followed a process, i.e., apply ratios from responding units in the imputation cell to the partial data that was supplied. Procedures were established during the editing stage (a) to preserve the integrity of the questionnaires as supplied by respondents, and (b) to record all changes made to the questionnaires during editing. If SBS staff writes on the form, for example, this should only be done in red pen, to distinguish the alterations from the original information.

Additional edit checks were developed, including checking against external data at enterprise/establishment level. External data to be checked against include VAGST and SNPF for turnover and purchases, and salaries and wages and employment data respectively. Editing and imputation processes were undertaken by FSD using Excel.

Sampling error estimates

NOT APPLICABLE!!

Data Marketplaces Market size was valued at USD 1.09 Billion in 2023 and is projected to reach USD 1.29 Billion by 2031, growing at a CAGR of 4.56% during the forecast period 2024-2031.

Global Data Marketplaces Market Drivers

The market drivers for the Data Marketplaces Market can be influenced by various factors. These may include:

Increasing Big Data Adoption: The proliferation of big data across industries has led to a significant rise in the need for data marketplaces. Organizations are increasingly aware of the value of data-driven decision-making, which has spurred demand for diverse data sources. Companies seek to harness large volumes of structured and unstructured data, driving them to marketplaces for innovative data solutions. The challenge of managing data internally encourages businesses to leverage external data assets, enhancing analytics capabilities and fostering better customer insights. Consequently, the growth of big data adoption directly influences the expansion and diversification of data marketplaces.

Enhanced Data Privacy Regulations: The introduction of stringent data privacy regulations, such as GDPR and CCPA, has transformed how businesses manage and exchange data. These regulations compel organizations to be more transparent in their data handling processes, fostering a need for compliant data sources. As companies prioritize adherence to legal standards, they are increasingly turning to data marketplaces with vetted datasets that ensure compliance. This shift is enhancing trust and encouraging more organizations to participate in data trading. Therefore, the evolution of privacy laws is a significant driver for the growth of the data marketplace ecosystem.

Global Data Marketplaces Market Restraints

Several factors can act as restraints or challenges for the Data Marketplaces Market. These may include:

Regulatory Compliance: Data marketplaces face significant challenges due to stringent regulations concerning data privacy and security. Regulatory frameworks such as GDPR and CCPA impose strict guidelines on how data can be collected, stored, and shared. Organizations must ensure that their data practices align with these regulations, which can lead to increased costs and complexity in operations. Non-compliance can result in severe penalties, reputational damage, and loss of consumer trust. This regulatory burden may deter businesses from participating in data marketplaces, as they grapple with evolving compliance standards and the potential for legal ramifications associated with mishandled data.

Data Quality and Integrity: The success of data marketplaces hinges on the quality and integrity of the data being offered. Poorly curated or inaccurate data can undermine the credibility of the marketplace and diminish user trust. Buyers seeking high-quality datasets may be deterred by the fear of investing in unreliable information. Additionally, maintaining data quality requires constant monitoring, validation, and updating, which can strain resources for marketplace operators. This challenge is further exacerbated by the proliferation of data sources, making it difficult to ensure consistency and accuracy across the offerings, ultimately affecting buyer satisfaction and marketplace growth.

A central data store for SSA's data exchange management information and related data.

Dataset

This dataset was created by Isaman Sangbumrung

Contents

Snapshot img

Business Information Market Size 2025-2029

The business information market size is forecast to increase by USD 79.6 billion, at a CAGR of 7.3% between 2024 and 2029.

The market is characterized by the increasing demand for customer-centric solutions as enterprises adapt to evolving customer preferences. This shift necessitates the provision of real-time, accurate, and actionable insights to facilitate informed decision-making. However, this market landscape is not without challenges. The threat of data misappropriation and theft looms large, necessitating robust security measures to safeguard sensitive business information. As businesses continue to digitize their operations and rely on external data sources, ensuring data security becomes a critical success factor. Companies must invest in advanced security technologies and implement stringent data protection policies to mitigate these risks. Navigating this complex market requires a strategic approach that balances the need for customer-centric solutions with the imperative to secure valuable business data.

What will be the Size of the Business Information Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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In today's data-driven business landscape, the continuous and evolving nature of market dynamics plays a pivotal role in shaping various sectors. Data integration solutions enable seamless data flow between different systems, enhancing cloud-based business applications' functionality. Data quality management ensures data accuracy and consistency, crucial for strategic planning and customer segmentation. Data infrastructure, data warehousing, and data pipelines form the backbone of business intelligence, facilitating data storytelling and digital transformation. Data lineage and data mining reveal valuable insights, fueling data analytics platforms and business intelligence infrastructure. Data privacy regulations necessitate robust data management tools, ensuring compliance and protecting sensitive information.

Sales forecasting and business intelligence consulting offer valuable industry analysis and data-driven decision making. Data governance frameworks and data cataloging maintain order and ethics in the vast expanse of big data analytics. Machine learning algorithms, predictive analytics, and real-time analytics drive business intelligence reporting and process modeling, leading to business process optimization and financial reporting software. Sentiment analysis and marketing automation cater to customer needs, while lead generation and data ethics ensure ethical business practices. The ongoing unfolding of market activities and evolving patterns necessitate the integration of various tools and frameworks, creating a dynamic interplay that fuels business growth and innovation.

How is this Business Information Industry segmented?

The business information industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

End-user

  BFSI
  Healthcare and life sciences
  Manufacturing
  Retail
  Others


Application

  B2B
  B2C


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW). 

By End-user Insights

The bfsi segment is estimated to witness significant growth during the forecast period.

In the dynamic business landscape, data-driven insights have become essential for strategic planning and decision-making across various industries. The market caters to this demand by offering solutions that integrate and manage data from multiple sources. These include cloud-based business applications, data quality management tools, data warehousing, data pipelines, and data analytics platforms. Data storytelling and digital transformation are key trends driving the market's growth, enabling businesses to derive meaningful insights from their data. Data governance frameworks and policies are crucial components of the business intelligence infrastructure. Data privacy regulations, such as GDPR and HIPAA, are shaping the market's development.

Data mining, predictive analytics, and machine learning algorithms are increasingly being used for sales forecasting, customer segmentation, and churn prediction. Business intelligence consulting and industry analysis provide valuable insights for organizations seeking competitive advantage. Data visualization dashboards, market research databases, and data discovery tools facilitate data-driven decision making. Sentiment analysis and predictive analytics are essential for marketing automation and business

Our Firmographic data is gathered and aggregated via surveys, digital services, and public data sources. We use powerful profiling algorithms to collect and ingest only fresh and reliable data points.

Data Export Methodology: As we collect data dynamically, we are able to provide the most updated data and insights via a best-suited method on a suitable interval (daily/weekly/monthly), keeping you informed and up-to-date.

Use Cases: 360-Degree Company View: Get a comprehensive image of the company by means of internal and external data aggregation. Data Enrichment: Leverage Online to offline consumer profiles to build holistic audience segments to improve campaign targeting using user data enrichment. Advertising & Marketing: Understand the Company's employee count, revenue, stock ticker, and a lot more to hyper-personalize and offer targeted ads

A dataset of all enforcement hearings against parcels within six adjudication departments - Code Enforcement, Alcohol Beverage Outlets (ABO), Historic District and Landmarks Commission (HDLC), Vieux Carré Commission (VCC), Short Term Rentals (STR) and Zoning - from January 1st, 2018 to current day.

The Data Quality Tools market is experiencing robust growth, fueled by the increasing volume and complexity of data across diverse industries. The market, currently valued at an estimated $XX million in 2025 (assuming a logically derived value based on a 17.5% CAGR from a 2019 base year), is projected to reach $YY million by 2033. This substantial expansion is driven by several key factors. Firstly, the rising adoption of cloud-based solutions offers enhanced scalability, flexibility, and cost-effectiveness, attracting both small and medium enterprises (SMEs) and large enterprises. Secondly, the growing need for regulatory compliance (e.g., GDPR, CCPA) necessitates robust data quality management, pushing organizations to invest in advanced tools. Further, the increasing reliance on data-driven decision-making across sectors like BFSI, healthcare, and retail necessitates high-quality, reliable data, thus boosting market demand. The preference for software solutions over on-premise deployments and the substantial investments in services aimed at data integration and cleansing contribute to this growth. However, certain challenges restrain market expansion. High initial investment costs, the complexity of implementation, and the need for skilled professionals to manage these tools can act as barriers for some organizations, particularly SMEs. Furthermore, concerns related to data security and privacy continue to impact adoption rates. Despite these challenges, the long-term outlook for the Data Quality Tools market remains positive, driven by the ever-increasing importance of data quality in a rapidly digitalizing world. The market segmentation highlights significant opportunities across different deployment models, organizational sizes, and industry verticals, suggesting diverse avenues for growth and innovation in the coming years. Competition among established players like IBM, Informatica, and Oracle, alongside emerging players, is intensifying, driving innovation and providing diverse solutions to meet varied customer needs. Recent developments include: September 2022: MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) spin-off DataCebo announced the launch of a new tool, dubbed Synthetic Data (SD) Metrics, to help enterprises compare the quality of machine-generated synthetic data by pitching it against real data sets., May 2022: Pyramid Analytics, which developed its flagship platform, Pyramids Decision Intelligence, announced that it raised USD 120 million in a Series E round of funding. The Pyramid Decision Intelligence platform combines business analytics, data preparation, and data science capabilities with AI guidance functionality. It enables governed self-service analytics in a no-code environment.. Key drivers for this market are: Increasing Use of External Data Sources Owing to Mobile Connectivity Growth. Potential restraints include: Increasing Use of External Data Sources Owing to Mobile Connectivity Growth. Notable trends are: Healthcare is Expected to Witness Significant Growth.

Big Data Software As A Service Market Outlook

The global market size for Big Data Software as a Service (BDaaS) was valued at USD 15.7 billion in 2023 and is expected to reach USD 54.8 billion by 2032, growing at a remarkable compound annual growth rate (CAGR) of 14.8% during the forecast period. The surge in demand for real-time data analytics and the need for high-speed data processing are among the key growth factors propelling this market forward. Organizations of all sizes are increasingly recognizing the value of data-driven decision-making, further driving the adoption of BDaaS solutions.

One of the primary growth factors for the BDaaS market is the exponential increase in data generation across various sectors. With the proliferation of Internet of Things (IoT) devices, social media platforms, and digital transactions, organizations are drowning in data. The ability to process and analyze this data in real-time has become a critical business need. BDaaS solutions offer the scalability and flexibility needed to handle vast amounts of structured and unstructured data, making them indispensable for organizations aiming to gain actionable insights from their data.

Another significant factor contributing to the market's growth is the rising adoption of cloud computing. Cloud-based BDaaS solutions eliminate the need for significant upfront investments in hardware and software, making them accessible to small and medium enterprises (SMEs) as well as large enterprises. The pay-as-you-go model offered by cloud providers ensures that organizations can scale their data analytics capabilities according to their needs, further driving the adoption of BDaaS. Additionally, advancements in cloud technology, such as hybrid and multi-cloud environments, are providing organizations with more options to optimize their data analytics processes.

The increasing focus on regulatory compliance and data security is also driving the BDaaS market. Organizations are under immense pressure to adhere to stringent data protection regulations, such as GDPR in Europe and CCPA in California. BDaaS providers offer robust security features, including data encryption, access controls, and compliance management, which help organizations meet regulatory requirements. The enhanced security measures provided by BDaaS solutions are particularly attractive to industries dealing with sensitive information, such as healthcare and finance.

In this rapidly evolving landscape, the concept of Big Data Exchange is gaining traction as organizations seek to streamline their data management processes. Big Data Exchange refers to the platforms and systems that facilitate the sharing and trading of large datasets between entities. This concept is becoming increasingly important as businesses look to leverage external data sources to enhance their analytics capabilities. By participating in Big Data Exchange, organizations can access a wider array of data, which can lead to more comprehensive insights and informed decision-making. This exchange of data not only helps in breaking down silos within organizations but also fosters collaboration and innovation across industries. As the demand for diverse and high-quality data continues to grow, Big Data Exchange platforms are expected to play a crucial role in the BDaaS ecosystem.

From a regional perspective, North America is expected to dominate the BDaaS market during the forecast period, owing to the early adoption of advanced technologies and the presence of major market players in the region. However, the Asia Pacific region is anticipated to witness the highest growth rate, driven by the rapid digital transformation initiatives and increasing investments in data analytics infrastructure. Europe is also expected to experience significant growth, supported by stringent data protection regulations and the growing adoption of cloud-based solutions across various industry verticals.

Component Analysis

The BDaaS market is segmented into two primary components: software and services. Software solutions include tools for data storage, processing, and analysis, while services encompass consulting, implementation, and support services. The software segment is expected to hold the largest market share, driven by the increasing demand for advanced analytics tools and platforms. Organizations are investing heavily in software solutions that offer real-time data processing, predictive analytics, and data visualization capabilities. These tools enable busi

Snapshot img

US Enterprise Data Management Market Size 2024-2028

The US enterprise data management market size is forecast to increase by USD 5.59 billion at a CAGR of 13.6% between 2023 and 2028.

The market, including Enterprise Data Management (EDM) software, is experiencing significant growth due to increasing demand for data integration and visual analytics. The BFSI industry's reliance on data warehousing and data security continues to drive market expansion. Technological advancements, such as artificial intelligence and machine learning are revolutionizing EDM solutions, offering enhanced capabilities for data processing and analysis. However, the high cost of implementing these advanced EDM solutions remains a challenge for some organizations. Additionally, data security concerns and the need for regulatory compliance are ongoing challenges that require continuous attention and investment. In the telecom sector, the trend towards digital transformation and the generation of vast amounts of data are fueling the demand for strong EDM solutions. Overall, the EDM software market is expected to continue its growth trajectory, driven by these market trends and challenges.

What will be the size of the US Enterprise Data Management Market during the forecast period?

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The Enterprise Data Management (EDM) market in the BFSI sector is experiencing significant growth due to the industry's expansion and strict regulations. With the increasing volume, velocity, and complexity of data, IT organizations in banks and other financial institutions are prioritizing EDM solutions to handle massive datasets and ensure information accuracy. These systems enable data synchronization, address validation, and single-source reporting, addressing data conflicts and silos that hinder effective business operations. EDM solutions are essential for both internal applications and external communication, allowing for leveraging analytics to gain a competitive edge. In the BFSI sector, where risk control is paramount, EDM plays a crucial role in managing and consuming datasets efficiently.
The market is characterized by a competitive environment, with IT investments focused on multiuser functionality and Big Data capabilities to meet the diverse needs of various business verticals, including manufacturing and services industries. Overall, EDM is a strategic imperative for businesses seeking to stay competitive and compliant in today's data-driven economy.

How is this market segmented and which is the largest segment?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Deployment

  On-premises
  Cloud


Ownership

  Large enterprise
  Small and medium enterprise


End-user

  Commercial banks
  Savings institutions


Geography

  US

By Deployment Insights

The on-premises segment is estimated to witness significant growth during the forecast period. The BFSI sector in the US is witnessing a significant expansion in the enterprise data management market, driven by strict regulations and the competitive environment. Large organizations, including commercial banks, insurance companies, and non-banking financial institutions, are prioritizing data management to ensure information accuracy and risk control. Enterprise Data Management (EDM) solutions are crucial for internal applications and external communication, enabling data synchronization and business operations. Leveraging analytics, IT organizations manage vast datasets and datasets' consumption, addressing data conflicts and ensuring data quality for reporting. EDM encompasses handling massive data through Business Analytics, ETL tools, data pipelines, and data warehouses, as well as data visualization tools.

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The on-premises segment was valued at USD 2.9 billion in 2018 and showed a gradual increase during the forecast period.

Market Dynamics

Our researchers analyzed the data with 2023 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

What are the key market drivers leading to the rise in adoption of US Enterprise Data Management Market?

Growing demand for data integration and visual analytics is the key driver of the market. In the BFSI sector, strict regulations necessitate the effective management of large volumes of structured and unstructured data. The industry's expansion and competitive environment necessitate the need for advanced data management solutions. Enterprises are leveraging Enterprise Data Management (EDM) systems to address the challenges of data synchronization, internal

The size of the US Business Intelligence Market was valued at USD 19942.01 million in 2023 and is projected to reach USD 38369.43 million by 2032, with an expected CAGR of 9.80% during the forecast period. Business Intelligence (BI) refers to the technologies, processes, and practices used to collect, analyze, and present business data in a meaningful way to support decision-making within an organization. BI involves a wide range of tools and techniques, including data mining, reporting, performance management, analytics, and querying, to convert raw data into actionable insights. By integrating data from various sources such as internal databases, external data providers, and cloud platforms, BI enables companies to gain a comprehensive view of their operations, market trends, customer behavior, and financial performance. This growth is driven by factors such as the increasing adoption of data-driven decision-making, the need for real-time insights, and advancements in artificial intelligence (AI) and machine learning (ML) technologies. The market benefits from the integration of BI with other technologies such as cloud computing, big data, and the Internet of Things (IoT). Additionally, government initiatives promoting data transparency and accountability, as well as rising data security concerns, are contributing to the growth of the US Business Intelligence Market. Recent developments include: In January 2023, Microsoft launched Power Bl in Microsoft Teams to enhance user experiences. The announcements include three new features: rich broadcast cards for Chat in Microsoft Teams, an update for classic Power Bl tabs for Channels 2.0, and listening to and learning from experiences and requirements., In December 2022, Tableau released its improved Tableau 2022.4 for business users and analysts to discover insights. It automates the creation, analysis, and communication of insights through data stories like Data Change Radar, Data Guide, and Explain the Viz., In November 2022, Qlik introduced a new cloud-based data integration platform. The sophisticated platform as a service brings together catalog capabilities and data preparation in one place. The new integration enables firms to do real-time data analysis. The advanced platform includes a number of services that combine to form a data fabric, connecting data sources and providing an organization with an integrated view of its data.. Notable trends are: Increased capital infusion promotes market growth.

Comprehensive dataset of 0 Automated external defibrillators in Mexico 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.

Comprehensive dataset of 0 Automated external defibrillators in Argentina as of June, 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.

Comprehensive dataset of 0 Automated external defibrillators in Italy 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.