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Alpha Unscripted:
Gain Unique Insights With Alternative, Unstructured Data

In today’s rapidly evolving market, you need unique and powerful datasets to uncover new sources of alpha. Incorporate unstructured data in your investment process to differentiate your strategy.

  • Unveil the potential of alternative data for alpha generation.
  • Uncover the subtext of earnings calls.
  • Unlock industry-specific and global supply chain insights.
  • Gain additional perspectives to enhance your analysis.

Access alternative, unstructured datasets

Access alternative, unstructured data through XpressfeedTM, S&P Global Market Intelligence’s powerful data feed management solution. Add a layer of insight to your quantitative investment process with structured textual data from corporate transcripts – complete with sophisticated metadata tagging, and industry-specific data for financial institutions, real estate, energy, media and metals & mining companies.

Watch: Alternative Data For Your Next-Generation Reserach And Analysis

Featured Article in Markets Media – When It Comes To Data, Time Is Money

Enhance your idea generation process

Xpressfeed™, our powerful data feed management solution, lets you easily integrate rigorously sourced, reliable transcripts data with your proprietary content and solutions. Leverage metadata to power your research and quickly identify potential alpha opportunities from alternative data sources.

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Access industry-specific insights

Gain a new level of insight with our deep, industry-specific SNL financial data and Panjiva Supply Chain Intelligence. Detailed financial data for financial institutions, real estate, energy, media and metals & mining companies offers the essential information to manage and monitor risk, inform your growth strategy, and find alpha.

Covering approximately 40% of the world’s merchandise trade by dollar value*, Panjiva leverages machine learning technologies to surface key insights from unstructured supply chain data and resolves entities to their parent company for your speedy analysis.

*The assumptions in this analysis are calculated using proprietary algorithms in addition to 2016 Global Merchandise Trade by Value data reported to UN Comtrade, the International Trade Statistics database, by the participating governments. Using a factor between 1 and 0.46, we have made these assumptions as of August 28, 2018, to calculate the global merchandise traded by dollar value coverage. Based on availability of the underlying data, these assumptions are subject to change.

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Differentiate your alpha with alternative data today.

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