Patterns in the Words: The Evolution of Machine-Readable Data 
 
Author:  Paul Rowady 
Date:   8/5/2013 
Price: US $ 3,000.00 
 
 

Patterns in the Words: The Evolution of Machine-Readable Data

Executive Summary

Unstructured data is on the road to extinction. Though it will always be generated—and certain forms, like the spoken and written words, will continue to defy structure—improved recording and digital character recognition technologies will capture these most basic forms of human communication in a way that allows for automated analysis. In the meantime, more of what used to be locked inside analog containers (like paper, recording tape and other “uncooperative” storage mechanisms) is now becoming more easily navigable, searchable and minable. We can now harvest more of the informational content—the “nutritional value” —of data for timely decision support, and at unprecedented scale. Two things make this possible: First, application of data standards (like XML, or eXtensible Markup Language) that simultaneously package data in both human-readable and machine-readable formats. And, second, evolving adoption of storage/retrieval solutions for diverse, multi-structured datasets (like NoSQL, or Not Only SQL) are also key, particularly for more computationally intensive analyses.

These developments essentially symbolize a journey into finding patterns in the words, and using those new patterns to enhance the use of older, more commoditized patterns already found in the numbers. Conversion of unstructured data into an expanding universe of structured data will soon become ubiquitous. Trading strategies, risk analytics, fraud detection, and all sorts of decision support in global capital markets will eventually incorporate this converted data. Though early-use cases of machine-readable data have already made headlines, we are most certainly only at the beginning of this journey.

This TABB Group Focus Note, Patterns in the Words: The Evolution of Machine-Readable Data, explores the role of low-latency machine-readable news (MRN) as the initial phase of a longer-term journey towards much broader use of converted unstructured data in trading strategies, risk analytics, surveillance, and many other capital markets use cases.  Detailing strategy examples, event types (and geographical breakdowns), user demographics, and market-sizing, this analysis offers a close look at how the high-frequency trading community has been using MRN, and more importantly, how new use cases – involving a broader spectrum of machine-readable data (MRD) – is being adopted by a larger community of hedge funds and traditional asset managers.


 
 
Related Reports 
None.
 
More from This Author 
The New Global Risk Transfer Market: Transformation and the Status Quo
A Launch Pad for Analytical Discovery
A New Capital Markets Mythology and a New Secret Sauce
The Difference Between ‘Interesting’ and ‘Fascinating’
Many Shades of Vanilla: The Complexity of Hedging
Screaming Your Book: ISDA and the Inevitability of Swaps Market Transformation
There Is No Such Thing as Alpha Generation
The Swaps Clearing Mandate: Clues to the Pace Transformation
The Risk Analytics Library: Time For a Single Source of Truth
Atoning for Risk’s Past
Chicago-Style Risk: Finding Religion
The Outlook for Derivatives: Futurization, FCMs, and Technology
Enhanced Risk Discovery: Exploration into the Unknown
New Eyes for New Risks
The Nutritional Value of Data: Harvesting Alpha From Unstructured Noise
The Rise of Analytics: On the Right Side of the 8-Ball
Inner Voices: Harvesting Text Analytics from Proprietary Data
In-House Alpha: Mining the Unstructured Data Within
From Faster to Smarter: The Single Global Markets Megatrend
The Art of Context Fixed Income Market Data and Beyond
 
  About  |  Services |  Research  |  Consulting  |  Commentary  | Press  |  Contact © TABB Group,  Inc.  |   info@tabbgroup.com  |  +1.646.722.7800  
 Powered by  Copyright © 2014 iWrapper, LLC. All Rights Reserved.