This dataset includes a data file (.csv), a questionnaire (.pdf), and a figure (.png). It contains 485 records and three research factors: electronic loyalty (3 items), perceived metal benefits (4 items), and hedonic value (4 items). Based on data analysis, there were positive impacts of perceived mental benefits and hedonic value on electronic loyalty, which confirmed the Stimulus–Organism–Response (SOR) model. Additional, the hedonic value is a mediator in the relationship between electronic loyalty and perceived mental benefits in electronic customer relationship management.

The dataset "isoc_bde15dec" has been discontinued since 08/02/2024.

This dataset contains raw, unprocessed data files pertaining to the management tool group focused on 'Customer Experience Management' (CEM) and 'Customer Relationship Management' (CRM), including related concepts like Customer Satisfaction Surveys and Measurement. 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: "customer relationship management" + "customer experience management" + "customer satisfaction" 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: Customer Relationship Management+Customer Experience Management+Customer Satisfaction Measurement+Customer Satisfaction 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: ("customer relationship management" OR "customer experience management" OR "customer satisfaction" OR "customer satisfaction measurement" OR CRM) AND ("management" OR "strategy" OR "approach" OR "system" OR "implementation" OR "evaluation") 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: Customer Satisfaction Surveys (1993); Customer Satisfaction (1996); Customer Satisfaction Measurement (1999, 2000); Customer Relationship Management (2002, 2006, 2008, 2010, 2012, 2017); CRM (2004, 2014); Customer Experience Management (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: 1994, 2001, 2003, 2005, 2007, 2009, 2011, 2013, 2015, 2017, 2023). Data Compilation Period: July 2024 - January 2025. Notes: Data points correspond to specific survey years. Sample sizes: 1993/500; 1996/784; 1999/475; 2000/214; 2002/708; 2004/960; 2006/1221; 2008/1430; 2010/1230; 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: Customer Satisfaction Surveys (1993); Customer Satisfaction (1996); Customer Satisfaction Measurement (1999, 2000); Customer Relationship Management (2002, 2006, 2008, 2010, 2012, 2017); CRM (2004, 2014); Customer Experience Management (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: 1994, 2001, 2003, 2005, 2007, 2009, 2011, 2013, 2015, 2017, 2023). Data Compilation Period: July 2024 - January 2025. Notes: Data points correspond to specific survey years. Sample sizes: 1993/500; 1996/784; 1999/475; 2000/214; 2002/708; 2004/960; 2006/1221; 2008/1430; 2010/1230; 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.

US B2B Contact Database | 200M+ Verified Records | 95% Accuracy | API/CSV/JSON Elevate your sales and marketing efforts with America's most comprehensive B2B contact data, featuring over 200M+ verified records of decision-makers, from CEOs to managers, across all industries. Powered by AI and refreshed bi-weekly, this dataset ensures you have access to the freshest, most accurate contact details available for effective outreach and engagement.

Key Features & Stats:

200M+ Decision-Makers: Includes C-level executives, VPs, Directors, and Managers.

95% Accuracy: Email & Phone numbers verified for maximum deliverability.

Bi-Weekly Updates: Never waste time on outdated leads with our frequent data refreshes.

50+ Data Points: Comprehensive firmographic, technographic, and contact details.

Core Fields:

Direct Work Emails & Personal Emails for effective outreach.

Mobile Phone Numbers for cold calls and SMS campaigns.

Full Name, Job Title, Seniority for better personalization.

Company Insights: Size, Revenue, Funding data, Industry, and Tech Stack for a complete profile.

Location: HQ and regional offices to target local, national, or international markets.

Top Use Cases:

Cold Email & Calling Campaigns: Target the right people with accurate contact data.

CRM & Marketing Automation Enrichment: Enhance your CRM with enriched data for better lead management.

ABM & Sales Intelligence: Target the right decision-makers and personalize your approach.

Recruiting & Talent Mapping: Access CEO and senior leadership data for executive search.

Instant Delivery Options:

JSON – Bulk downloads via S3 for easy integration.

REST API – Real-time integration for seamless workflow automation.

CRM Sync – Direct integration with your CRM for streamlined lead management.

Enterprise-Grade Quality:

SOC 2 Compliant: Ensuring the highest standards of security and data privacy.

GDPR/CCPA Ready: Fully compliant with global data protection regulations.

Triple-Verification Process: Ensuring the accuracy and deliverability of every record.

Suppression List Management: Eliminate irrelevant or non-opt-in contacts from your outreach.

US Business Contacts | B2B Email Database | Sales Leads | CRM Enrichment | Verified Phone Numbers | ABM Data | CEO Contact Data | US B2B Leads | US prospects data

This dataset contains all vegetation incidents in York recorded in City of York Council’s customer relationship management (CRM) tool from February 2021 onwards. Please note the dataset excludes incidents created in the last 14 days and that incidents with no end date are currently unresolved. For further information about vegetation and reporting vegetation please see the City of York Council’s website. *Please note that the data published within this dataset is a live API link to CYC's GIS server. Any changes made to the master copy of the data will be immediately reflected in the resources of this dataset. The date shown in the "Last Updated" field of each GIS resource reflects when the data was first published.

HitHorizons Dataset of VAT and Tax Numbers gives access to aggregated data on 80M+ companies from the whole of Europe and beyond.

Company registration data: company name national identifier and its type registered address: street, postal code, city, state / province, country business activity: SIC code, local activity code with classification system year of establishment company type location type

Sales and number of employees data: sales in EUR, USD and local currency (with local currency code) total number of employees sales and number of employees accuracy local number of employees (in case of multiple branches) companies’ sales and number of employees market position compared to other companies in a country / industry / region

Industry data: size of the whole industry size of all companies operating within a particular SIC code benchmarking within a particular country or industry regional benchmarking (EU 27, state / province)

Contact details: company website company email domain (without person’s name)

Invoicing details available for selected countries: company name company address company VAT number

This dataset contains all road and pavement incidents in York recorded in City of York Council’s customer relationship management (CRM) tool from November 2019 onwards. Please note the dataset excludes incidents created in the last 14 days and that incidents with no end date are currently unresolved. For further information about road and pavement and reporting road and pavement problems please see the City of York Council’s website. *Please note that the data published within this dataset is a live API link to CYC's GIS server. Any changes made to the master copy of the data will be immediately reflected in the resources of this dataset. The date shown in the "Last Updated" field of each GIS resource reflects when the data was first published.

This dataset contains all water and drainage incidents in York recorded in City of York Council’s customer relationship management (CRM) tool from December 2019 onwards. Please note the dataset excludes incidents created in the last 14 days and that incidents with no end date are currently unresolved. For further information about water and drainage problems and reporting water and drainage problems please see the City of York Council’s website. *Please note that the data published within this dataset is a live API link to CYC's GIS server. Any changes made to the master copy of the data will be immediately reflected in the resources of this dataset. The date shown in the "Last Updated" field of each GIS resource reflects when the data was first published.

[IMPORTANT NOTE: Sample file posted on Datarade is not the complete dataset, as Datarade permits only a single CSV file. Visit https://www.careprecise.com/healthcare-provider-data-sample.htm for more complete samples.] The APD is the only physician database with this deep pool of data, available for immediate download in Microsoft Access format and CSV files, for use with spreadsheet, database or CRM software on Windows PC, Mac or Linux.:

100% of HIPAA-covered U.S. MD and DO physicians Their practice groups, with group size Independent practice indicator Sole proprietor indicator Their hospital affiliations All reported specialties, including the primary Years in practice Medical school attended Phone and fax numbers Rural/Urban practice indicator Practice and Mailing addresses Gender Current LEIE sanctions License Medicare practice PAC ID C-suite and director-level contacts for physician groups and hospitals Exclusive CoLoCode™ linkage between physicians practicing together and their group NPI records

CompanyData.com powered by BoldData is your gateway to verified, high-quality business data from around the world. We specialize in delivering structured company information sourced directly from official trade registers, giving you reliable data to fuel smarter business decisions.

Our USA company database includes over 69,853,300 verified business records, making it one of the most comprehensive sources of company information available. Each record contains detailed firmographics such as industry classification, company size and revenue, corporate hierarchies and verified contact details including decision-maker names, email addresses, direct dials and mobile numbers.

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This dataset contains all street cleaning incidents in York recorded in City of York Council’s customer relationship management (CRM) tool from February 2019 onwards. Please note the dataset excludes incidents created in the last 14 days and that incidents with no end date are currently unresolved. For further information about street cleaning and reporting street cleaning problems please see the City of York Council’s website. *Please note that the data published within this dataset is a live API link to CYC's GIS server. Any changes made to the master copy of the data will be immediately reflected in the resources of this dataset. The date shown in the "Last Updated" field of each GIS resource reflects when the data was first published.

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CompanyData.com powered by BoldData provides verified, high-quality company information sourced directly from official trade registers around the world. We help businesses unlock insights, drive compliance and scale with confidence using reliable data.

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Full Names and Titles: Gain access to the full names and current positions of C-level executives. Professional Emails and Phone Numbers: Direct communication channels to ensure your messages reach the intended audience. Company Information: Understand the organizational context with details about the company size, industry, and role within the corporation. Professional History: Detailed career trajectories, highlighting roles, responsibilities, and achievements. Education and Certifications: Educational backgrounds and certifications that enrich the professional profiles of these executives. Flexible Delivery and Integration: Our LinkedIn Data is available in multiple formats, including CSV, Excel, and via API, allowing easy integration into your CRM systems or other sales platforms. We provide continuous updates to our datasets, ensuring you always have access to the most current information available.

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This dataset contains all graffiti incidents (on all land types) in York recorded in City of York Council’s customer relationship management (CRM) tool from November 2019 onwards. Please note the dataset excludes incidents created in the last 14 days and that incidents with no end date are currently unresolved. For further information about graffiti and reporting graffiti problems please see the City of York Council’s website. *Please note that the data published within this dataset is a live API link to CYC's GIS server. Any changes made to the master copy of the data will be immediately reflected in the resources of this dataset. The date shown in the "Last Updated" field of each GIS resource reflects when the data was first published.

Access over 920 million global LinkedIn profiles data enriched with detailed B2B LinkedIn people profiles and LinkedIn company data. This LinkedIn dataset offers accurate, structured information for professionals across industries, geographies, and company sizes. It is designed to support sales intelligence, recruiting, marketing, enrichment, investment research, and data platforms.

Our LinkedIn profile dataset includes verified and frequently updated records, making it ideal for data-driven teams looking to scale outreach, identify decision-makers, enrich CRM records, and improve targeting.

LinkedIn profile dataset :

755M+ LinkedIn People Profiles

70M+ LinkedIn Company Profiles

Full Name, Job Title, Company, Industry

LinkedIn Public Identifier and Profile URL

Location, Seniority, Education, Skills

Company Size, Revenue Range, Company Domain, Domain rank

Bi-Weekly Data Updates

Delivery Formats: CSV, JSON, PostgreSQL

API Access with Credit-Based Pricing

Use Cases

Sales Prospecting: Target decision-makers and buyers by title, seniority, region, and industry.

Recruiting: Source passive candidates using skills, experience, education, and seniority filters.

Data Enrichment: Append LinkedIn profile data to your CRM, CDP, or internal database.

Investment Research: Identify executive teams, founders, and key leadership at global companies.

Marketing Automation: Build high-quality outbound and ABM campaign lists using live LinkedIn data.

Technology & SaaS Platforms: Integrate LinkedIn profile data into your product via API.

Key Features

High-accuracy B2B LinkedIn data with 95%+ verified records

Wide global coverage across North America, Europe, LATAM, APAC, and MENA

Fast delivery with bi-weekly refresh cycles

Flexible access via API or flat file delivery

Supports real-time and large-scale enrichment workflows

GDPR and CCPA compliant

Who Uses This Data

Sales Intelligence Tools

Talent Acquisition & HR Tech Platforms

CRM and CDP Vendors

Private Equity and Venture Capital Firms

Data Enrichment Providers

Martech and Adtech Companies

Research and Analytics Firms

Delivery Options

API-based credit system (starting at $100 for 2,500 credits)

One-time file deliveries for specific LinkedIn IDs or data samples

Ongoing flat file subscriptions (CSV, JSON, or PostgreSQL)

Hourly or Bi-weekly refresh options

Trial & Evaluation Sample data and trial API credits are available to validate accuracy and fit for your use case. Volume-based pricing and custom delivery formats can be discussed on request.

Issues from the Improve Detroit application. Detroiters use Improve Detroit to submit non-emergency service requests to the City and to check the status of non-emergency requests such as potholes, graffiti and damaged street signs. Issues are submitted through the Improve Detroit mobile app or the website. Improve Detroit uses the SeeClickFix CRM system from CivicPlus.Each row in the dataset represents a recorded issue, and includes information such as the type of issue reported, a brief description, issue status, and when an issue was opened, acknowledged, and closed. Links to a SeeClickFix webpage with an issue summary are also included. City of Detroit departments that use Improve Detroit are: DWSD, DPD, GSD, BSEED, DPW, PLA, PDD, Demolition, CRIO and DDOT. DoIT acts as system administrators.Click here for the Analytics Hub visualization of Improve Detroit Issues.NOTE: This dataset may not be downloadable through the Open Data Portal. The complete dataset, updated daily, is available to download in csv format.

This dataset contains current unresolved salt bin incidents in York recorded in City of York Council’s customer relationship management (CRM) tool from November 2019 onwards. Please note the dataset excludes incidents created in the last 14 days. For all salt bin incidents - unresolved and closed ones, please see the Salt Bins - All Incidents dataset. For further information about salt bins and reporting salt bins problems please see the City of York Council’s website. *Please note that the data published within this dataset is a live API link to CYC's GIS server. Any changes made to the master copy of the data will be immediately reflected in the resources of this dataset. The date shown in the "Last Updated" field of each GIS resource reflects when the data was first published.