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News & Commentary
Content tagged with Data Management posted in July 2014
Quandl to Distribute Nasdaq OMX Index Data for Free
News  |  7/31/2014  | 
Data portal Quandl forms its first partnership with Nasdaq OMX, providing global indexes to a younger generation of financial analysts.
Is Big Data a Problem or an Opportunity?
Commentary  |  7/28/2014  | 
When it comes to data, financial services firms are, as a rule, quite circumspect. They fear cyberattacks, data theft, data loss, security breaches, data privacy, and human error.
Decision-Making Automation: The Next Financial Services Innovation
Commentary  |  7/26/2014  | 
As algorithms and the markets continue to evolve, the way traders apply data and analytics to algo creation will lead to the next wave of innovation.
Data Integrity: A Necessity, Not an Option
Commentary  |  7/25/2014  | 
Financial institutions that have taken on the data integrity task in the past now have to spend more money on hardware, software, and people just to keep up with the demand.
Big Data DIY
Commentary  |  7/24/2014  | 
Now that we have passed the initial hype phase of big data, companies are searching for real business value from their investments. Consultants can play a part, but only if financial firms insist on a new partnership model.
So Much Data, So Little Time
Commentary  |  7/21/2014  | 
How fast does data need to be used in order to be beneficial?
5 Ways Semantic Technology Is Transforming the Financial Services Industry
Commentary  |  7/8/2014  | 
Semantic search intuitively finds and connects relevant data across the enterprise. Innovation in this technology is helping organizations simplify and transform operations.
Cinnober Pledges No Change in Boat Trade Reporting Service After Acquisition From Markit
News  |  7/2/2014  | 
New owner looks to expand the European trade-reporting service beyond the 40 investment firms and MTFs currently reporting trades to Boat.
The Discipline of Information Lifecycle Management
Commentary  |  7/1/2014  | 
Banks need to build discipline around the information lifecycle and the process of deleting data that is no longer required from a legal or business standpoint.


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