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Analytics

Okay, let s break down Datastream, a well-known financial data platform, covering its overview, revenue, alternatives, pricing, and customer care.

1. Datastream Overview

  • What it is: Datastream is a comprehensive financial database and analytics platform owned by LSEG (London Stock Exchange Group). It provides access to an enormous breadth and depth of financial data covering:
    • Equities: Stock prices, fundamental data, analyst estimates
    • Fixed Income: Bond yields, prices, credit ratings
    • Economic Data: Macroeconomic indicators, forecasts
    • Foreign Exchange: Currency rates, historical data
    • Commodities: Prices, production data
    • Derivatives: Futures, options data
  • Key Features:
    • Extensive Coverage: Access to data from global markets, both developed and emerging.
    • High-Quality Data: Sourced from exchanges, brokers, and other reliable providers.
    • Data Retrieval Tools: Ability to search, filter, and download data in various formats.
    • Chart Creation: Basic charting tools for visualizations.
    • Integration: Data can be integrated with other analytical tools like Excel, MATLAB, etc.
    • Time Series Data: Designed for handling historical data and time series analysis.
  • Target Audience:
    • Financial institutions: Investment banks, asset managers, hedge funds, research firms.
    • Corporations: Corporate finance, treasury, investor relations.
    • Academia: Research and teaching.
    • Governmental and Central Banks

2. Revenue

  • Not Publicly Disclosed as Standalone Figure: Datastream s revenue is not reported as a separate figure in LSEG s financial statements. It is part of the broader Data & Analytics division.
  • Contribution to Data & Analytics Segment: LSEG s Data & Analytics division generates a significant portion of the company s overall revenue and Datastream is a key component of this segment. This division makes billions of dollars annually.
  • Recurring Revenue Model: Datastream typically operates on a subscription-based revenue model with annual contracts. This generates consistent recurring revenue for LSEG.

3. Alternatives to Datastream

Several competitors offer comparable financial data and analytics platforms:

  • Bloomberg Terminal: A direct competitor, offers a vast array of data and news, along with analytics and trading tools. Often seen as the gold standard but is typically more expensive than Datastream.
  • Refinitiv Eikon (now part of LSEG): Another offering from LSEG, which offers similar data content as Datastream, combined with news and workflow capabilities. Datastream is more focused on time-series data.
  • FactSet: A strong competitor particularly known for its robust analytical tools and corporate data.
  • S&P Capital IQ: A major provider, particularly strong in private markets data, but also has good public markets data.
  • Alphasense: Combines financial data with AI-driven insights.
  • Quandl (Nasdaq): Offers a wider variety of datasets with a focus on alternative data sources. More affordable for users with specific data needs.
  • Barchart: Specializes in commodities data and offers flexible API options.
  • TIKR: Aimed more at fundamental investors, has some free tools and a more modern interface.
  • TradingView: Primarily a charting platform but offers a wide variety of market data and community features.
  • Google Finance and Yahoo Finance: Provide basic free market data, suitable for casual investors and not for serious institutional analysis.

Key Differences between Alternatives:

  • Data Coverage: Varies across providers; some are stronger in certain asset classes or geographies.
  • Analytical Tools: Some platforms offer more sophisticated analytics, models, and backtesting capabilities.
  • Integration: Different levels of API access and compatibility with other software.
  • Pricing: Wide range of pricing models, from free to very expensive, depending on features and data access.

4. Pricing

  • Subscription-Based Model: Datastream is generally offered on a subscription basis, typically with annual contracts.
  • Customizable Packages: Pricing varies based on:
    • Number of Users: More users mean a higher cost.
    • Modules Selected: Cost will depend on the specific data modules you need (e.g., equities, fixed income, economic data).
    • Geographic Coverage: Access to global data is more expensive than regional or single-market data.
    • Data Frequency: More frequent updates can increase cost.
  • High-End of the Market: Datastream is generally considered a high-end data provider with a relatively high cost, often similar to the cost of a Bloomberg terminal, but less expensive.
  • Negotiable: Prices are often negotiable, especially for large institutional clients.
  • No Publicly Available Pricing: LSEG doesn t publicly post its pricing for Datastream. Users will need to contact them directly for a custom quote.

5. Customer Care Details

  • Dedicated Support Teams: LSEG provides dedicated support teams for Datastream users.
  • Account Managers: Each client is typically assigned an account manager to address their specific needs.
  • Technical Support: Provides technical support for installation, data retrieval, and API access.
  • Training: Offers training and documentation to help users get the most out of the platform.
  • 24/7 Support (for some regions): Depending on the region and client, they may offer 24/7 support.
  • Multiple Channels: Customer support is generally offered through:
    • Phone: Contact center for technical support and questions.
    • Email: Often the preferred method for less urgent issues.
    • Live Chat (sometimes available): May be available for basic inquiries.
    • Online Help Center: Knowledge base with articles and FAQs.
  • Contact Information: You can find contact information for Datastream and LSEG support on their corporate website.

Key Takeaways:

  • Datastream is a robust and comprehensive financial data platform with a long history.
  • It s ideal for users needing large amounts of historical data for time-series analysis.
  • Its price point is generally high, making it suited for institutional clients with complex data needs.
  • Alternatives are available, each with strengths and weaknesses in terms of data coverage, analytical capabilities, and pricing.
  • LSEG provides a high level of customer support to Datastream users.

Before making a decision, it is crucial to compare Datastream with its alternatives based on your specific requirements and budget. Don t hesitate to request demos and pricing quotes from different providers. Let me know if you have specific questions about any of these points!





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