What is Corporate Data? Uses, Examples & Database Sources
What is Corporate Data?
Corporate data is information generated and collected by a company during its operations. It includes various types of data such as financial records, customer information, sales figures, employee details, and market research. Examples of corporate data include financial statements, sales reports, customer databases, employee records, and market research data.
Best Corporate Data Databases & Datasets
Here is Datarade's curated selection of top Corporate Data. These trusted databases and datasets offer high-quality, up-to-date information.
Corporate Contact Data - reach corporate executives and professionals across the globe - Thomson Data
Cbonds: Corporate Actions Bond Data API - Global Coverage, 760K issues
InfoTrie Corporate Data - 200K+ companies actions, events (merger & acquisition), historical insights globally and real-time API access
Corporate Sustainability Reporting Directive (CSRD) Data | Company Data | Double Materiality Data | ESG Data | GIST Impact
EDI Global Corporate Actions Data | Listed Securities incl. Dividends, Splits, Spin-offs, Mergers | 60 Event Types Covered | Historical data avail.
Accutrend Data: B2B Corporate Business (SoS) Intelligence for USA
Vietnam Corporate Credit Rating Reports
Wall Street Horizon Corporate Event Data - Earnings calendar, Dividends, Interim Calendar, Corporate Actions
Global Corporate Buyback Data | Transactions and Intentions | 58 Countries | 55,000 Companies | 10 Years Historical Data | Public Equity Market Data
Top Corporate Data Providers & Companies
The primary selection criteria for corporate data providers should encompass the accuracy, relevance, and timeliness of the data offered, ensuring that it aligns with the specific needs and objectives of the business.
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InfoTrieBased in Singapore
InfoTrie: Global Data Intelligence Leader since 2012. Unleash insights from unstructured data. Alternative datasets on E-commerce, SEC Filings, B2B Data, Se... -
GrepsrBased in USA
From understanding customers' requirements to the final delivery, we take extra precautions to serve nothing but the most accurate and reliable data. Our dat... -
Richmond Global SciencesBased in United Kingdom
RGS provides raw ESG data across 70+ KPIs, including unique datasets of scope 3, plastic waste, food waste, and recalls. Aside from ESG data, RGS is the sing...
Corporate Data Explained
Use Cases
Use Case 1: Business Intelligence and Analytics
One of the main use cases of corporate data is to derive business intelligence and perform analytics. By analyzing the data collected from various sources within the organization, businesses can gain valuable insights into their operations, customer behavior, market trends, and more. This data-driven approach helps in making informed decisions, identifying opportunities for growth, optimizing processes, and improving overall business performance.
Use Case 2: Risk Management and Compliance
Corporate data is also utilized for risk management and compliance purposes. Organizations need to ensure that they adhere to legal and regulatory requirements specific to their industry. By analyzing and monitoring data related to financial transactions, customer interactions, and internal processes, businesses can identify potential risks, detect fraudulent activities, and ensure compliance with relevant laws and regulations. This use case helps in mitigating risks, protecting the organizationâs reputation, and avoiding legal consequences.
Use Case 3: Customer Relationship Management
Another significant use case of corporate data is customer relationship management (CRM). By collecting and analyzing customer data, businesses can gain a deeper understanding of their customersâ preferences, behaviors, and needs. This information enables organizations to personalize their marketing efforts, improve customer service, and build stronger relationships with their clients. CRM systems utilize corporate data to track customer interactions, manage sales pipelines, and enhance customer satisfaction and loyalty.
These three use cases highlight the importance of corporate data in driving business growth, managing risks, and improving customer relationships.
Main Attributes of Corporate Data
Corporate data refers to the information that is generated and collected by a company during its operations. It encompasses a wide range of attributes that provide insights into various aspects of the organization. These attributes can include financial data such as revenue, expenses, and profit margins, as well as operational data like production metrics, inventory levels, and supply chain information. Additionally, corporate data may include customer data such as demographics, purchase history, and feedback, enabling companies to better understand their target market. Other attributes of corporate data can involve employee data, such as payroll information, performance metrics, and training records, which help in managing and optimizing workforce productivity. Furthermore, corporate data may also encompass legal and regulatory information, market research data, and strategic planning data. Hereâs a table of the main attributes you might find on Corporate Datasets:
| Attribute | Description |
|---|---|
| Accuracy | Corporate data should be accurate and free from errors or inconsistencies. It should reflect the true state of the organizationâs operations and activities. |
| Completeness | Corporate data should be complete, meaning it includes all relevant information required for decision-making and analysis. It should not have any significant gaps or missing data. |
| Consistency | Corporate data should be consistent across different sources and systems. It should use standardized formats, definitions, and units of measurement to ensure compatibility and comparability. |
| Timeliness | Corporate data should be up-to-date and reflect the most recent information available. It should be collected, processed, and made available in a timely manner to support real-time decision-making. |
| Relevance | Corporate data should be relevant to the organizationâs goals, objectives, and information needs. It should provide meaningful insights and support decision-making processes. |
| Security | Corporate data should be protected from unauthorized access, alteration, or loss. It should adhere to data privacy regulations and be stored and transmitted securely to maintain confidentiality and integrity. |
| Accessibility | Corporate data should be easily accessible to authorized users who need it for their roles and responsibilities. It should be organized and stored in a way that allows efficient retrieval and analysis. |
| Scalability | Corporate data should be scalable to accommodate the organizationâs growing data needs. It should be able to handle increasing volumes of data without significant performance degradation. |
| Interoperability | Corporate data should be able to seamlessly integrate and interact with other systems, applications, and data sources within the organizationâs technology landscape. |
| Auditability | Corporate data should be auditable, meaning it can be traced back to its source and the processes used to collect, transform, and store it. This attribute ensures data quality and accountability. |
How are Corporate Data products priced?
Corporate datasets are typically priced based on various factors such as the size and complexity of the dataset, the level of exclusivity or uniqueness it offers, and the potential value it can bring to businesses. Pricing models for corporate datasets can vary, but they often involve a combination of one-time fees, subscription-based models, or tiered pricing structures. The cost may also depend on the industry or sector the dataset caters to, with datasets in highly specialized or niche areas commanding higher prices. Additionally, factors like data quality, accuracy, and the level of support provided by the data provider can also influence the pricing. Overall, the pricing of corporate datasets is determined by the value they can provide to businesses and the resources required to collect, maintain, and deliver the data.
Frequently Asked Questions
What is Corporate Data?
Corporate data refers to information related to businesses, including financial data, operational metrics, market trends, customer behavior, and other relevant data points that provide insights into the performance, operations, and activities of companies.
How is Corporate Data collected?
Corporate data can be collected from various sources such as regulatory filings, financial reports, market research, surveys, customer databases, web scraping, social media monitoring, and partnerships with data providers. It can also be obtained through APIs, data feeds, and data integration with external systems.
What is Corporate Data used for?
Corporate data is used for a range of purposes, including market analysis, competitive intelligence, risk assessment, investment decisions, strategic planning, product development, customer segmentation, compliance, financial forecasting, and performance evaluation. It helps businesses gain insights, make informed decisions, and drive growth.
Whatâs a quality checklist for Corporate Data?
A quality checklist for corporate data includes factors such as data accuracy, reliability, completeness, timeliness, relevance to the business needs, data source credibility, consistency, data security and privacy measures, adherence to data standards, proper documentation, and compatibility with data analysis tools.
How is Corporate Data priced?
The pricing of corporate data varies depending on factors such as the data source, data quality, data coverage, level of customization, licensing terms, data provider reputation, data frequency, and the complexity of data processing required. Pricing models can include one-time purchases, subscription-based models, data volume tiers, or customized pricing based on specific requirements.