
Report ID: SQMIG45C2087
Report ID:
SQMIG45C2087 |
Region:
Global |
Published Date: January, 2025
Pages:
187
|
Tables:
91 |
Figures:
71
Hedge funds provide additional demand and are expected to further accelerate market growth. Over half of hedge fund managers use it now, as they create outperformance and enhance risk management processes for a competitive edge. Alternative data accessed by hedge fund managers consists of data mined from social networks, e-commerce sites, public records, traffic on the web, mobile devices, sensors and satellites.
With the changing regulatory environment that governs acquiring data, using data and sharing data, sourcing of data has been evolving ever since. Possibly the most obvious consumer proposition behind growing demand is the immense allure of data as a tool for predicting sales and also providing economic indicators that might foreshadow future buying intentions. his has spurred demand to use alternative data analysis tools on credit card transaction data.
As we continue to undergo exponential growth in the generation of high-volume heterogeneous data, we continue to compound heterogeneity and its associated complexity while the process of accurate high-dimensional evaluation becomes ever more challenging. However, the nature of data generated during life science research is highly complex and difficult to manage; this complexity in turn expected to restrain the growth of the market.
Interpretation of the data might be an obstacle for enterprises. With so many sources out there, it can be difficult to tell distinguish between reliable and good sources from bad unreliable ones. In case the incorrect data is collected from unreliable sources it can lead to wrong analysis thus impacting strategics adopted by the company in tern impacting the company substantially in the long run.
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Report ID: SQMIG45C2087