Asset Management
Data-driven asset management refers to the financial activity of handling wealth with a number lead approach. The data often used by asset managers varies from different forms of alternative data to basic financial and stock market insights.
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RIMES Global ETF Data Management
by RIMES Technologies
6K ETFs/ETPs
100% Bespoke Format
249 countries covered
RIMES ETF offering provides high-quality ETF fund and composition data directly from source in order to provide superior transparency, data quality and use c...
Biodiversity, Waste & Water Management Data | Worldwide Public Companies ESG data | Datacie ESG
by Datacie
249 countries covered
7 years of historical data
A data answer to how do the world companies impact biodiversity change through their environmental policies, their waste management program, and their water ...
USA covered
10 years of historical data
We provide automated and unbiased fundamental analysis on 2,500+ US stocks empowered by cutting-edge data processing technology. Our clients benefit from aff...
RootMetrics
Based in USA
The standard for mobile performance measurement, RootMetrics by IHS Markit is an independent mobile analytics firm offering scientific insights into how user...
Nikkei Market Data
Based in Japan
Nikkei has a proven track record of providing economic data to corporate customers such as financial institutions and government agencies for 50 years, and g...
Journalists
Years history
Sentifi
Based in Switzerland
Sentifi is an established fintech company and alternative data provider. We transform traditional and alternative raw data into investment analytics, support...
Named Entity Precision
Sentiment Detection Precision
Event Recognition Precision
Frequently Asked Questions about Asset Management
Learn everything about Asset Management. Understand data sources, popular use cases, and data quality.
What is asset management?
Asset management means the task of wealth administration. It’s the activity where asset managers use financial instruments to allocate company’s wealth, and increase the value of the invested assets.
Why is data-driven asset management important?
When done currently, the data-driven approach to asset management enables non-biased investment decisions, new sources of alpha, and improved trading algorithms.