At the end of 2024, Alphabet had 183,323 full-time employees. Up until 2015, these figures were reported as Google employees. The alphabet was created through a corporate restructuring of Google in October 2015 and became the parent company of Google as well as several of its former subsidiaries, including Calico, X, CapitalG and Sidewalk Labs. Google’s popularity Google is one of the most famous internet companies in the world, and in May 2024, the most visited multi-platform website in the United States, with over 278 million U.S. unique visitors during that month alone. The California-based multinational internet company has been delivering digital products and services since its creation in 1996. Due to the popularity of its search engine, the verb “to google” has entered the everyday language and the Oxford Dictionary. In addition to that, the company has also crafted itself as one of the most desirable employers, largely due to the many perks it offers in its offices worldwide. Some of the most appealing aspects of working for Google according to its employees include readily available foods and drinks, good working conditions, and ample communal spaces for relaxing, as well as many health benefits and generous salaries. Google offices and employees As of February 2022, Google and Alphabet had more than 70 offices in over 200 cities throughout 50 around the globe, including Germany, Czechia, Finland, Canada, Mexico, Turkey, and New Zealand. The company’s headquarters, also known as “the Googleplex,” are located in Mountain View, California, while other office locations in American states include New York, Georgia, Texas, Washington D.C., and Massachusetts. As Alphabet, the company employs a total over 182 thousand full-time staff, in addition to many other temporary and internship positions. Per the most recent diversity report published in July 2021, most Google employees were male and only 34 percent were female – a figure that has barely changed since the company started reporting on the diversity of its employees in 2016. Furthermore, as of 2021, women occupied only 28.1 percent of leadership positions and 24.6 percent of tech positions. Although Google has regularly stated that the company is committed to promoting ethnic diversity among its personnel, some 54.4 percent of its U.S. employees are White and only 3.3 percent of employees are Black.

In the fiscal period that ended December 31, 2023, Google UK Limited's average number of employees was 7,442 employees. This was a slight increase compared to the previous reporting period ending December 31, 2022, where 7,005 individuals were reported to have had worked for the company in the UK.

As one of the largest tech companies in the world, Google plays a major role in shaping digital infrastructure, workplace culture, and talent demand. From artificial intelligence research to cloud computing and global ad platforms, its workforce powers the innovation behind billions of daily interactions. For instance, Google’s growing investment...

As of January 2024, the majority of Google employees worldwide, almost 66 percent, were male. The distribution of male and female employees at Google hasn’t seen a big change over the recent years. In 2014 the share of female employees at Google was 30.6 percent. In 2021 this number has increased by only 3 percent. Considering that the total number of Google employees increased greatly between the years 2007 and 2020, the female quota among the employees had seen rather a small increase. Google as a company Google is a diverse internet company that provides a wide range of digital products and services. In 2022, the company’s global revenue was over 279 billion U.S. dollars. Most of its revenue, around 305 billion U.S. dollars, was from advertising. Among its services, the most popular ones are YouTube and Google Play. Male and female employees at tech companies Google is not the only tech company with a lower number of female employees. This pattern can be seen in other big tech companies too. In 2019, in a ranking of 20 leading tech companies worldwide, only 23andMe had more than a 50 percent share of female employees. The majority of tech companies in the ranking have far more male than female employees.

The Quarterly Census of Employment and Wages (QCEW) program publishes a quarterly count of employment and wages reported by employers covering more than 95 percent of U.S. jobs, available at the county, MSA, state and national levels by industry. The dataset, hosted as part of the Cloud Public Datasets Program , gives county-level information on jobs and wages each quarter starting in 1990. The counties are identified by geoid which can easily be joined with both all FIPS codes or US county boundaries to unlock new insights within the data. Both of these datasets are available in BigQuery through the Cloud Public Datasets Cleaning and onboarding support for this dataset is provided by CARTO . This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

This dataset contains raw, unprocessed data files pertaining to the management tool group focused on 'Talent & Employee Engagement', including concepts like Employee Engagement Surveys/Systems and Corporate Codes of Ethics. The data originates from five distinct sources, each reflecting different facets of the tool's prominence and usage over time. Files preserve the original metrics and temporal granularity before any comparative normalization or harmonization. Data Sources & File Details: Google Trends File (Prefix: GT_): Metric: Relative Search Interest (RSI) Index (0-100 scale). Keywords Used: "corporate code of ethics" + "employee engagement" + "employee engagement management" Time Period: January 2004 - January 2025 (Native Monthly Resolution). Scope: Global Web Search, broad categorization. Extraction Date: Data extracted January 2025. Notes: Index relative to peak interest within the period for these terms. Reflects public/professional search interest trends. Based on probabilistic sampling. Source URL: Google Trends Query Google Books Ngram Viewer File (Prefix: GB_): Metric: Annual Relative Frequency (% of total n-grams in the corpus). Keywords Used: Corporate Code of Ethics+Employee Engagement Programs+Employee Engagement Surveys+Employee Engagement Time Period: 1950 - 2022 (Annual Resolution). Corpus: English. Parameters: Case Insensitive OFF, Smoothing 0. Extraction Date: Data extracted January 2025. Notes: Reflects term usage frequency in Google's digitized book corpus. Subject to corpus limitations (English bias, coverage). Source URL: Ngram Viewer Query Crossref.org File (Prefix: CR_): Metric: Absolute count of publications per month matching keywords. Keywords Used: ("corporate code of ethics" OR "employee engagement" OR "employee engagement programs" OR "employee engagement surveys") AND ("human resources" OR "management" OR "organizational" OR "culture" OR "development" OR "performance") Time Period: 1950 - 2025 (Queried for monthly counts based on publication date metadata). Search Fields: Title, Abstract. Extraction Date: Data extracted January 2025. Notes: Reflects volume of relevant academic publications indexed by Crossref. Deduplicated using DOIs; records without DOIs omitted. Source URL: Crossref Search Query Bain & Co. Survey - Usability File (Prefix: BU_): Metric: Original Percentage (%) of executives reporting tool usage. Tool Names/Years Included: Corporate Code of Ethics (2002); Employee Engagement Surveys (2012, 2014); Employee Engagement Systems (2017, 2022). Respondent Profile: CEOs, CFOs, COOs, other senior leaders; global, multi-sector. Source: Bain & Company Management Tools & Trends publications (Rigby D., Bilodeau B., Ronan C. et al., various years: 2003, 2013, 2015, 2017, 2023). Data Compilation Period: July 2024 - January 2025. Notes: Data points correspond to specific survey years. Sample sizes: 2002/708; 2012/1208; 2014/1067; 2017/1268; 2022/1068. Bain & Co. Survey - Satisfaction File (Prefix: BS_): Metric: Original Average Satisfaction Score (Scale 0-5). Tool Names/Years Included: Corporate Code of Ethics (2002); Employee Engagement Surveys (2012, 2014); Employee Engagement Systems (2017, 2022). Respondent Profile: CEOs, CFOs, COOs, other senior leaders; global, multi-sector. Source: Bain & Company Management Tools & Trends publications (Rigby D., Bilodeau B., Ronan C. et al., various years: 2003, 2013, 2015, 2017, 2023). Data Compilation Period: July 2024 - January 2025. Notes: Data points correspond to specific survey years. Sample sizes: 2002/708; 2012/1208; 2014/1067; 2017/1268; 2022/1068. Reflects subjective executive perception of utility. File Naming Convention: Files generally follow the pattern: PREFIX_Tool.csv, where the PREFIX indicates the data source: GT_: Google Trends GB_: Google Books Ngram CR_: Crossref.org (Count Data for this Raw Dataset) BU_: Bain & Company Survey (Usability) BS_: Bain & Company Survey (Satisfaction) The essential identification comes from the PREFIX and the Tool Name segment. This dataset resides within the 'Management Tool Source Data (Raw Extracts)' Dataverse.

This dataset provides processed and normalized/standardized indices for the management tool group focused on 'Talent & Employee Engagement', including concepts like Employee Engagement Surveys/Systems and Corporate Codes of Ethics. Derived from five distinct raw data sources, these indices are specifically designed for comparative longitudinal analysis, enabling the examination of trends and relationships across different empirical domains (web search, literature, academic publishing, and executive adoption). The data presented here represent transformed versions of the original source data, aimed at achieving metric comparability. Users requiring the unprocessed source data should consult the corresponding Talent/Engagement dataset in the Management Tool Source Data (Raw Extracts) Dataverse. Data Files and Processing Methodologies: Google Trends File (Prefix: GT_): Normalized Relative Search Interest (RSI) Input Data: Native monthly RSI values from Google Trends (Jan 2004 - Jan 2025) for the query "corporate code of ethics" + "employee engagement" + "employee engagement management". Processing: None. Utilizes the original base-100 normalized Google Trends index. Output Metric: Monthly Normalized RSI (Base 100). Frequency: Monthly. Google Books Ngram Viewer File (Prefix: GB_): Normalized Relative Frequency Input Data: Annual relative frequency values from Google Books Ngram Viewer (1950-2022, English corpus, no smoothing) for the query Corporate Code of Ethics+Employee Engagement Programs+Employee Engagement Surveys+Employee Engagement. Processing: Annual relative frequency series normalized (peak year = 100). Output Metric: Annual Normalized Relative Frequency Index (Base 100). Frequency: Annual. Crossref.org File (Prefix: CR_): Normalized Relative Publication Share Index Input Data: Absolute monthly publication counts matching Engagement/Ethics-related keywords [("corporate code of ethics" OR ...) AND (...) - see raw data for full query] in titles/abstracts (1950-2025), alongside total monthly Crossref publications. Deduplicated via DOIs. Processing: Monthly relative share calculated (Engage/Ethics Count / Total Count). Monthly relative share series normalized (peak month's share = 100). Output Metric: Monthly Normalized Relative Publication Share Index (Base 100). Frequency: Monthly. Bain & Co. Survey - Usability File (Prefix: BU_): Normalized Usability Index Input Data: Original usability percentages (%) from Bain surveys for specific years: Corporate Code of Ethics (2002); Employee Engagement Surveys (2012, 2014); Employee Engagement Systems (2017, 2022). Processing: Semantic Grouping: Data points across related names treated as a single conceptual series representing Talent/Engagement focus. Normalization: Combined series normalized relative to its historical peak (Max % = 100). Output Metric: Biennial Estimated Normalized Usability Index (Base 100 relative to historical peak). Frequency: Biennial (Approx.). Bain & Co. Survey - Satisfaction File (Prefix: BS_): Standardized Satisfaction Index Input Data: Original average satisfaction scores (1-5 scale) from Bain surveys for specific years (same names/years as Usability). Processing: Semantic Grouping: Data points treated as a single conceptual series. Standardization (Z-scores): Using Z = (X - 3.0) / 0.891609. Index Scale Transformation: Index = 50 + (Z * 22). Output Metric: Biennial Standardized Satisfaction Index (Center=50, Range?[1,100]). Frequency: Biennial (Approx.). File Naming Convention: Files generally follow the pattern: PREFIX_Tool_Processed.csv or similar, where the PREFIX indicates the data source (GT_, GB_, CR_, BU_, BS_). Consult the parent Dataverse description (Management Tool Comparative Indices) for general context and the methodological disclaimer. For original extraction details (specific keywords, URLs, etc.), refer to the corresponding Talent/Engagement dataset in the Raw Extracts Dataverse. Comprehensive project documentation provides full details on all processing steps.

The global HR software market is estimated to be valued at XXX million in 2025, with a CAGR of XX% from 2025 to 2033. The market is driven by the increasing adoption of cloud-based HR solutions, the growing need for efficient and effective HR management, and the increasing focus on employee engagement and retention. Cloud-based HR solutions offer a number of advantages over on-premises solutions, including lower costs, greater flexibility, and easier access to data. Additionally, the growing need for efficient and effective HR management is driving the market, as organizations seek to streamline their HR processes and improve their employee management capabilities. Key trends in the HR software market include the increasing adoption of artificial intelligence (AI) and machine learning (ML) technologies, the growing use of mobile HR applications, and the increasing focus on employee experience. AI and ML technologies can be used to automate a variety of HR tasks, such as recruiting, onboarding, and performance management. Mobile HR applications allow employees to access their HR information and services from anywhere, anytime. The increasing focus on employee experience is driving the demand for HR software solutions that provide employees with a personalized and engaging experience.

Firmographic Data for Company Intelligence, B2B Segmentation & KYB Firmographic data is the backbone of modern B2B decision-making, powering everything from lead scoring and segmentation to compliance, financial benchmarking, and market expansion planning. Canaria’s enriched Firmographic Data product delivers deep visibility into U.S. companies by combining standardized insights on revenue ranges, employee count, and business category with optional location verification through Google Maps metadata.

This clean and analysis-ready firmographic dataset is built for precision. Every record is structured, normalized, and deduplicated to support automated workflows across CRMs, BI dashboards, compliance tools, financial models, and sales platforms. Updated weekly, our firmographic data ensures that teams stay ahead of organizational shifts, while providing the matchability and granularity required to fuel market intelligence at scale.

If you're working with fragmented company information, incomplete lead lists, or outdated third-party data, Canaria’s Firmographic Data bridges the gap between surface-level signals and operational insight.

Use Cases: What This Firmographic Data Solves Canaria’s firmographic data offering is used by sales, risk, finance, compliance, and strategy teams to strengthen daily operations, strategic planning, and automation initiatives.

Company Analysis • Leverage firmographic data to assess a company’s size, structure, and potential impact within its industry • Identify organizational tiers using clean employee size brackets, location counts, and business hierarchy insights • Analyze firmographic profiles at the branch level, matched with Google Maps data to verify presence, operating hours, and reviews • Map the operational footprint of enterprises across ZIP codes, cities, and regions for trend tracking or competitive benchmarking

Know Your Business (KYB) & Regulatory Compliance • Use firmographic signals such as company type, headquarters address, incorporation location, and estimated size for KYB verification • Identify shell entities or mismatched records using cross-source validation with Google Maps-matched firmographic data • Flag risk-prone entities based on abnormal size-revenue-industry patterns or gaps in metadata • Enhance onboarding pipelines and due diligence platforms by auto-enriching firmographic gaps at scale • Comply with local and international KYB regulations with standardized firmographic data structures

Financial Intelligence & Private Market Benchmarking • Use estimated firmographic variables like annual revenue range, employee count, and industry focus to model private market behavior • Benchmark companies against similar-sized peers within the same vertical, region, or revenue bracket • Replace missing financials with proxy signals from enriched firmographic datasets for internal modeling and client analysis • Feed investor signals and fund models with data on size trends, regional density, and revenue tier shifts • Correlate firmographic data with job postings, hiring behavior, and sentiment for growth prediction models

Market Research, TAM/SAM Modeling & Industry Intelligence • Conduct high-resolution market mapping by combining industry codes, company counts, and firm size across specific geographies • Map sector saturation and whitespace using city, ZIP code, or state-level firmographic intelligence • Analyze shifts in vertical presence, workforce concentration, and mid-market vs. enterprise distribution • Tailor customer segmentation models using clean and consistent firmographic fields • Build TAM/SAM datasets using industry, employee size, revenue tier, and location granularity

B2B Lead Generation & RevOps Segmentation • Score and segment inbound leads using enriched firmographic attributes such as company size, region, industry, and revenue • Eliminate low-value or unqualified leads from prospecting databases by applying firmographic filters • Route leads to the right sales reps or vertical pods based on company headcount, location, and category • Enrich lead records automatically with up-to-date firmographic data pulled from verified external sources • Build ABM lists using revenue-based tiers, industry verticals, and mapped branch data via Google Maps enrichment

What Makes This Firmographic Data Unique Deep Enrichment with Verified Firmographic Attributes • Our firmographic data includes revenue range, employee size bracket, industry classification, company type, and regional identifiers — all normalized to enable aggregation, filtering, and modeling.

Matchable with Google Maps for Accuracy and Context • Match your firmographic records with Google Maps to verify physical branch presence, exact addresses, latitude/longitude, phone numbers, and ratings. This adds a real-world signal layer to abstract company data and supports KYB, lead scoring, and risk assessment.

Continuously Updated and Scalable • Weekly refreshes ensure your firmographi...

Google Workspace for HR Software Market Outlook

The global market size for Google Workspace for HR Software was valued at approximately USD 1.5 billion in 2023 and is expected to reach around USD 4.2 billion by 2032, growing at a compound annual growth rate (CAGR) of 12.1% during the forecast period. The significant growth factor driving the market includes the increasing need for streamlined HR processes and the growing adoption of cloud-based solutions for enhancing operational efficiency.

One of the primary growth factors for the Google Workspace for HR Software market is the increasing need for centralized and efficient HR management systems. Organizations are recognizing the benefits of integrating various HR functions such as recruitment, performance management, and payroll within a single platform. This integration not only reduces administrative overhead but also enhances the overall employee experience. Furthermore, the shift towards remote working models has necessitated the adoption of robust cloud-based HR solutions, which further propels the market growth.

Another pivotal growth factor is the increasing focus on employee engagement and experience. Modern organizations prioritize creating a conducive work environment that promotes employee satisfaction and retention. Google Workspace for HR Software provides various tools and features that aid in employee engagement, feedback collection, and performance tracking, enabling HR departments to implement proactive measures for employee well-being. The inclusion of AI and analytics in these platforms also helps in making data-driven decisions, which is crucial for maintaining a productive workforce.

The rising demand for HR analytics and insights is also contributing significantly to the market growth. With advanced HR software solutions, organizations can gain deeper insights into employee performance, turnover rates, and other critical HR metrics. These insights are valuable for strategic planning and can lead to more informed decision-making. Additionally, the use of predictive analytics can help in anticipating employee needs and addressing potential issues before they escalate, thereby improving the overall HR management process.

From a regional perspective, North America is expected to hold the largest market share, driven by the high adoption rate of advanced HR technologies and the presence of major tech companies. However, the Asia Pacific region is expected to register the highest CAGR during the forecast period. This growth can be attributed to the increasing digital transformation initiatives and the rising number of SMEs adopting cloud-based HR solutions in countries like India and China. The European market is also expected to show significant growth due to stringent labor laws and the need for compliance management solutions.

Component Analysis

The Google Workspace for HR Software market can be segmented by component into software and services. The software segment, which includes various HR management applications, is expected to dominate the market. This dominance can be attributed to the increasing adoption of comprehensive HR software solutions that offer functionalities such as employee data management, recruitment, performance tracking, and payroll processing. These software solutions are crucial for automating HR tasks and reducing manual errors, thereby enhancing operational efficiency.

The services segment is also expected to witness substantial growth during the forecast period. This includes implementation, integration, training, and support services that are essential for the successful deployment and operation of HR software solutions. As organizations increasingly adopt Google Workspace for HR, the demand for professional services to customize and integrate these solutions with existing systems is also rising. Moreover, ongoing support and maintenance services are crucial for ensuring the smooth functioning of these HR platforms.

Within the software segment, cloud-based solutions are gaining more traction compared to on-premises solutions. The flexibility, scalability, and cost-effectiveness offered by cloud-based HR software make them a preferred choice for many organizations. Additionally, cloud solutions facilitate easy access to HR data from anywhere, which is particularly beneficial for remote and hybrid work models. This trend is expected to continue, driving the growth of the software component in the market.

The integration capabilities of Google Workspace for HR Software with other enterp

In 2024, Spotify employed an average of 7,691 people worldwide, down from 9,123 in the previous year. However, this number remains significantly higher than the 311 employees recorded in 2011. Spotify also made headlines in 2022 and 2023 for letting go a large share of its workforce as part of major restructuring efforts. Spotify and digital music Starting out as a Sweden-based startup, Spotify has evolved into a strong player in the digital content subscription market. The music streaming service was publicly launched in 2008 and has gone on to become a company with more than 15.67 billion euros in annual revenue. Spotify legally provides content from record labels including EMI, Sony, Universal and Warner Music Group. The basic version of the service is free and higher tiers of paid subscription feature no ads and access on mobile devices. Although available as a stand-alone service, Spotify made its U.S. debut in July 2011 as a Facebook application and has since included heavily integrated social features like shared tracks and messaging between users. As of third quarter of 2024, Spotify had 252 million premium subscribers worldwide, significantly up from 10 million in May 2014. In June 2023, the most downloaded music and audio app on the Google Play Store was Spotify. Digital music revenue continues to decline While Spotify has emerged as a dominant player in the music streaming industry, traditional digital music sales have seen a steady decline. Global digital music revenues dropped to 0.9 billion U.S. dollars in 2023, down from 2.6 billion in 2017, as consumers increasingly opt for subscription-based streaming over individual downloads. With the continued decline of physical music sales, streaming services like Spotify have become the primary driver of digital music revenue, highlighting the growing importance of accessible, on-demand music platforms.

How many employees does Microsoft have? The American technology company Microsoft employs approximately ******* people in full-time positions worldwide. Around ** percent of Microsoft’s employees are located in the company’s home country the United States. The employees are spread out over four business units: operations (manufacturing, distribution, product support, and consulting services), research and development, sales and marketing, and general and administration. Product portfolio and business segmentsMicrosoft sells a wide range of consumer and enterprise software, hardware, and services. The technology company had a revenue standing at around *** billion U.S. dollars in fiscal year 2024, most of which came from the commercial licensing of its software and operating systems. For example, Microsoft Windows is a dominating presence in the desktop operating systems market, with a market share of around ** percent. Microsoft U.S. tech giant Microsoft is one of the biggest technology companies in the United States next to Apple, Facebook, Google, Amazon, and IBM. Microsoft’s market capitalization has consistently grown to over three trillion U.S. dollars over the period from 2014 to 2024. Today Microsoft is one of the most valuable brands worldwide with a brand value close to *** trillion U.S. dollars, with only Apple having a higher brand value. The fiscal year-end of the company is June, 30th.

Alphabet's CEO salary and other executives compensation in 2021 was as follows: Philipp Schindler Senior Vice President, Chief Business Officer, Google at Alphabet, received a total compensation of $28.66 M in 2021, Prabhakar Raghavan Senior Vice President, Knowledge and Information, Google at Alphabet, received a total compensation of $28.65 M in 2021, Ruth M. Porat Senior Vice President, Chief Financial Officer, Alphabet and Google at Alphabet, received a total compensation of $14.66 M in 2021, Kent Walker President, Global Affairs and Chief Legal Officer, Alphabet and Google at Alphabet, received a total compensation of $14.66 M in 2021, Sundar Pichai Chief Executive Officer, Alphabet and Google, and Director at Alphabet, received a total compensation of $6.32 M in 2021.

LinkedIn Data for Talent Acquisition, CRM Enrichment & Company Insights

LinkedIn data is one of the most essential sources of alternative business intelligence — enabling real-time visibility into company growth, hiring behavior, and lead signals. Canaria’s LinkedIn data product delivers structured insights across LinkedIn company data, LinkedIn job postings, and job market trends, verified and enriched with Google Maps metadata.

This LinkedIn data product is specifically designed for use cases including talent acquisition, business development, CRM data enrichment, HR intelligence, and company analysis. It empowers organizations to track high-growth companies, hiring signals, employee trends, and location-level expansions — all sourced from LinkedIn and optimized for integration.

Use Cases: What Problems This LinkedIn Data Solves Our LinkedIn data helps transform fragmented online business profiles into clean, analyzable signals. Whether you need to enrich CRM records, build a talent pipeline, or score leads by job activity, this product enables precision targeting and faster decision-making.

LinkedIn Company Analysis • Identify company size, industry tags, and employee count trends using LinkedIn company data • Monitor company presence through LinkedIn follower growth, location footprints, and job post activity • Benchmark similar companies using standardized LinkedIn data fields and activity metrics • Track changes in business strategy based on real-time LinkedIn job and company page updates

Talent Acquisition & HR Intelligence • Discover which companies are actively hiring through LinkedIn job postings • Analyze job title demand, skill trends, and role seniority using normalized job market LinkedIn data • Track employer branding and recruiting momentum across key locations • Use LinkedIn data to identify companies hiring for specific departments or regions

Risk Detection & Workforce Insights • Spot slowing hiring momentum using LinkedIn job volume trends • Detect early signs of restructuring or regional downsizing • Cross-reference LinkedIn data with Google Maps to validate real-world branch activity • Compare declared headcount with public-facing recruiting behavior

CRM Enrichment & B2B Lead Generation • Enrich company records with verified LinkedIn company data (industry, size, hiring) • Score accounts based on hiring momentum and LinkedIn engagement • Use job postings data to find companies actively hiring for the roles you serve • Identify ideal B2B lead targets based on title trends and LinkedIn hiring signals

Why This LinkedIn Data Product Is Different Matchable Across Systems • Our LinkedIn data is designed to integrate with your job market data, CRM tools, BI platforms, and talent dashboards

Location Intelligence Included • All LinkedIn company profiles include verified HQs and branches, cross-validated with Google Maps metadata

Weekly Updates • Stay current with weekly-updated LinkedIn data streams, covering new companies, job postings, and hiring shifts

Taxonomy-Mapped & Clean • Data is normalized into standard LinkedIn company data fields, ready for matching across systems and teams

Who Benefits from LinkedIn Data • Talent acquisition platforms and recruiting teams • CRM and RevOps teams enriching lead and account records • Strategy and BI teams monitoring workforce and hiring dynamics • Investment teams tracking company growth and hiring behavior • B2B marketers building lead scoring and account targeting models • HR tech tools offering benchmarking and job market insight

Summary Canaria’s LinkedIn Data product delivers enriched, structured, and match-ready business intelligence sourced directly from LinkedIn. By combining LinkedIn company data, LinkedIn job postings, and job market data with location validation via Google Maps, this product enables confident execution across talent acquisition, HR intelligence, CRM enrichment, and company analysis.

About Canaria Inc. Canaria Inc. is a leader in alternative data, specializing in job market intelligence, LinkedIn company data, Glassdoor salary analytics, and Google Maps location insights. We deliver clean, structured, and enriched datasets at scale using proprietary data scraping pipelines and advanced AI/LLM-based modeling, all backed by human validation. Our platform also includes Google Maps data, providing verified business location intelligence — such as addresses, coordinates, hours, categories, and ratings — which is fully matchable with our company datasets for powerful geospatial analysis and location-based enrichment. Our AI-powered pipeline is developed by a seasoned team of machine learning experts from Google, Meta, and Amazon, and by alumni of Stanford, Caltech, and Columbia — combining cutting-edge research with enterprise-grade engineering. This foundation enables us to deliver precise, reliable insights that power corporate intelligence, market research, and lead generation at scale. With insights drawn from ...

This is a subset of ZoomInfo's full Company Data Cube of over 100m Companies worldwide of all shapes and sizes. Accurate and comprehensive commercial B2B data is foundational to an organization’s success. The next wave of top businesses are going to be built by organizations that embrace best-in-class external B2B data as a core part of their business strategy. With seamless access to the world’s best B2B data, drive your account-based strategy, augment your master data strategy, supplement your multi-vendor strategy, or run advanced analysis and modeling. ZoomInfo Data Cubes provide unlimited access to ZoomInfo data where you work, so you can build a reliable go-to-market data foundation to analyze, predict, and engage with the right accounts to drive revenue. Actualize your total addressable market, identify new opportunities for growth, build your account maps with linkages, prospect your buying committee, assign territories, predict look-alikes, share go-to-market insights, and more with holistic account intelligence needed for your sales and marketing needs. Not being data-driven risks suffering from disengaged audiences, missed opportunities, and lost revenue.Learn more

Context

(Disclaimer: Description update and experiments are still in progress).

The dataset was collected for the research related to Stanford NLU Course, and specifically with the goal to compare the performance of deep-learning transfer models like BERT, GPT-2, ROBERTA and more classic type of models that were previously used for the Sentiment Analysis. The paper could be found here: Leveraging BERT for Multi-Dimensional Sentiment Analysis of Employee Reviews

Most of the publicly available datasets for the Social Science-related tasks contain mainly statistical data (numeric values or Boolean-type gradation for a particular characteristic). Formal employee reviews usually contain sensitive data that can only be shared with either direct manager or senior members of the company. Such data cannot leave the premises of the company, and thus had to be generated or collected explicitly.

Data was collected with the help of Amazon MTurk Workers. A custom task was created in order to make sure that there is a good level of variability and quality of data. The task instructions looked as follows: > In this task you’re asked to generate a free-form review for your imaginary colleague. The review should assess employee’s performance for the last quarter by one of ”9-box” categories below. Note: Review should be in English and not shorter than 4 sentences. Avoid using word combinations from the given Category as is (i.e. phrases containing words ”performance” and ”potential”).

And categories can be visualized like this: https://performanceculture.com/wp-content/uploads/2018/11/9-box-https.png%20=350x350" alt="9 Box Performance and Potential Model">

One of the goals of the experiment is to validate how good performance of DL models is on a pretty raw data (without significant cleansing and review), thus current version of Train/Validation dataset is provided, where about 70% of records still need to be reviewed for consistency (i.e. does the feedback actually match provided class).

Content

There are 2 main datasets (which do not overlap): 1. Core dataset that was used for Training and Evaluation (partially reviewed, unbalanced distribution of classes) 2. Test dataset (225 records, all reviewed, 25 for each class)

(train, validation) and test - are enriched datasets that were used in experiments, but using data from 2 main datasets respectively. Train/Validation were obtained via stratified split. Code can be found here: https://github.com/fryzhykau/BERT-employee-reviews-analysis

Main columns: - id - unique identifier of the record - person_name - imaginary employee name, for which feedback was given - nine_box _category - human-readable 9-box category - feedback - the actual review on the employee - updated or adjusted - whether original category provided by MTurk employee was updated to properly match with the feedback (to sustain high degree of consistency) - reviewed - flag that says whether this record was thoroughly reviewed or not with another pair of eyes

Additional columns: - label - 0-based nine_box_category id - feedback_len - length of the feedback - num_of_sent - number of sentences in feedback - performance_class - 0-based performance class id - potential_class - 0-based potential class id - feedback_clean - pre-processed feedback value

Acknowledgements

Big acknowledgement to my wife Hanna for persistently reviewing the data with me to validate the judgement and achieve the highest level of consistency and quality.

Inspiration

I hope this data will help inspire additional ideas in the area of Social Science, and would trigger more "personal-like" data available for a realistic research.

Google Workspace Business Tool Market Outlook

The global Google Workspace business tool market size was valued at approximately USD 11 billion in 2023 and is projected to reach around USD 27.5 billion by 2032, exhibiting a Compound Annual Growth Rate (CAGR) of 10.7% during the forecast period. The growth of this market is fueled by the increasing demand for remote working solutions, enhanced collaboration tools, and the integration of artificial intelligence and machine learning capabilities within business tools.

The growth factors of the Google Workspace business tool market are multifaceted. One of the primary drivers is the growing trend of remote working and the need for seamless communication and collaboration tools. Companies worldwide are increasingly adopting remote working policies, necessitated by the COVID-19 pandemic, which has accelerated the adoption of versatile business tools that enable employees to work efficiently from any location. Google Workspace fits this need perfectly with its suite of integrated applications designed to enhance productivity and streamline workflows.

Another significant growth factor is the increasing emphasis on data security and compliance. As businesses become more digitized, the importance of securing sensitive information and adhering to regulatory standards has become paramount. Google Workspace offers robust security features, including encrypted emails, two-factor authentication, and compliance with various global data protection regulations, making it an attractive option for enterprises looking to safeguard their data against potential breaches and cyber threats.

The integration of AI and machine learning capabilities is also a substantial growth driver for the Google Workspace business tool market. Features such as smart email categorization, automated meeting scheduling, and intelligent data analytics are increasingly being favored by businesses to enhance operational efficiency and decision-making processes. These advanced functionalities not only save time but also provide valuable insights that can drive business growth and innovation.

Regionally, North America currently holds the largest market share, driven by the high adoption rate of digital tools and advanced technologies among enterprises. The region's well-established IT infrastructure and the presence of major tech companies like Google contribute to this dominance. However, the Asia Pacific region is expected to exhibit the highest growth rate during the forecast period, fueled by rapid digital transformation, increasing internet penetration, and the growing number of SMEs adopting cloud-based solutions.

Component Analysis

The Google Workspace business tool market can be segmented by component into software and services. The software segment comprises various productivity applications such as Gmail, Google Drive, Google Docs, Sheets, Slides, and more. These tools are designed to facilitate communication, collaboration, and productivity across different business functions. The demand for these software solutions is driven by their ease of use, seamless integration, and the ability to work on any device with internet connectivity. Additionally, continuous updates and new feature rollouts keep the software relevant and aligned with changing business needs.

The services segment includes support services, consulting, and managed services provided by Google and its partners. These services play a crucial role in ensuring that businesses can fully leverage the capabilities of Google Workspace. Support services help resolve technical issues and provide assistance with deployment and usage, ensuring minimal disruption to business operations. Consulting services offer expert advice on optimizing Google Workspace for specific business needs, while managed services handle the administration and maintenance of the tools, allowing businesses to focus on their core activities.

The software segment is expected to dominate the market due to the high demand for integrated productivity tools that facilitate remote working and collaboration. However, the services segment is also anticipated to grow significantly as businesses seek expert guidance and support to maximize the benefits of their Google Workspace investments. The increasing complexity of IT environments and the need for specialized skills to manage cloud-based solutions are key factors driving the growth of the services segment.

Moreover, as businesses continue to evolve and their needs become more sophisticated, the d

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Google Workspace Communication Tool Market Outlook

The global market size for Google Workspace Communication Tools in 2023 stood at approximately USD 9 billion, with a projected market size of around USD 25 billion by 2032, growing at a Compound Annual Growth Rate (CAGR) of 12%. This remarkable growth can be attributed to the rising demand for efficient collaborative tools, the proliferation of remote work, and the increasing digital transformation across various industries. The rise in adoption of cloud-based solutions and the continuous advancements in communication technologies are significant factors propelling this market forward.

The surge in digital transformation initiatives across businesses worldwide is a primary growth driver for the Google Workspace Communication Tool market. Companies are increasingly seeking ways to improve operational efficiency, streamline communication, and enhance collaboration among teams, irrespective of their geographical locations. Google Workspace Communication Tools, with their integrated suite of applications, offer businesses a comprehensive solution to achieve these goals. The ease of use, robust security features, and the seamless integration with other enterprise solutions make Google Workspace an attractive choice for organizations of all sizes.

Another crucial growth factor is the rise in remote and hybrid work models. The COVID-19 pandemic has fundamentally altered the workplace dynamics, making remote work a standard practice rather than an exception. Even post-pandemic, many organizations are adopting hybrid work models that combine remote and in-office work. Google Workspace Communication Tools provide the necessary infrastructure to support this shift, enabling employees to communicate, collaborate, and share information efficiently from any location. The tools' ability to facilitate real-time communication and collaboration has become indispensable in maintaining productivity and engagement in a distributed workforce.

Moreover, the increasing focus on enhancing customer experience is driving the demand for advanced communication tools. Businesses across sectors such as BFSI, healthcare, retail, and education are leveraging Google Workspace Communication Tools to offer personalized and timely services to their customers. The ability to integrate these tools with customer relationship management (CRM) systems and other enterprise applications enables companies to deliver a seamless customer experience, thereby improving customer satisfaction and loyalty. This trend is expected to contribute significantly to the market's growth over the forecast period.

From a regional perspective, North America is expected to hold a dominant position in the Google Workspace Communication Tool market, owing to the high adoption rate of digital technologies and the presence of major tech companies in the region. However, the Asia Pacific region is projected to witness the highest growth rate during the forecast period, driven by the rapid digitalization in emerging economies, increasing internet penetration, and the growing number of small and medium enterprises (SMEs) adopting cloud-based solutions. Europe is also expected to show significant growth due to stringent data protection regulations and the increasing demand for secure communication tools.

Component Analysis

The market for Google Workspace Communication Tools can be segmented by component into software and services. The software segment encompasses various applications such as Gmail, Google Drive, Google Meet, Google Chat, and others that form the core of Google Workspace. The services segment includes implementation, customization, training, and support services that ensure effective deployment and utilization of these tools within organizations. The software segment is expected to hold a larger market share due to the high demand for integrated communication and collaboration tools. However, the services segment is also poised for significant growth as companies increasingly seek professional services to maximize the benefits of Google Workspace.

Within the software segment, Google Meet and Google Chat are witnessing substantial adoption, especially in the context of remote work and virtual meetings. Google Meet, with its secure and high-quality video conferencing capabilities, has become a preferred choice for business communication. The integration with other Google Workspace applications enhances its functionality, allowing users to schedule, join, and manage meetings seamlessly. Google Chat, on the other hand, facilitates real-time messaging and collabor

In 2024, the number of IKEA co-workers worldwide amounted to *******. This is an increase of around ****** staff members compared to 2013. IKEA IKEA is an internationally known home furnishing retailer. It has grown rapidly since it was founded in 1943. Today it is the world's largest furniture retailer, recognized for its Scandinavian style. The majority of IKEA's furniture is flat-pack, ready to be assembled by the consumer. This approach allows for a reduction in costs and packaging. One of the key competitive advantages IKEA has is its extensive knowledge about the customers. The company understands the purchasing factors that influence customers to buy and implements the best practices to induce that decision. Low prices are the cornerstone of the IKEA business idea and the company always tries to do things as efficiently and cost-effective as possible. To drive costs down all the time, the company must find new and innovative ways to do that and to incorporate them in its business model. The business’ innovations include new materials that contribute more to a sustainable environment and are less costly or using the newest ways of packaging, handling and transporting materials. Brand value and store visits According to Millward Brown Optimor's "Brandz Top 100 Most Valuable Global Brands 2023", IKEA was not only the most valuable furniture retailer brand in the world, it was also the seventh most valuable retailer in the world, valued at almost ** billion U.S. dollars. The furniture business operates more than *** stores and is present in the major world markets. Additionally, there were about 900 million customers visits to IKEA stores in the fiscal year of 2024, compared to *** million in 2023.