In a world where digitization has outpaced human capacity, data science and analytics (along with AI and other applicable technologies) are the only way to effectively utilize your data and technical estate. At DS&A, we work with you to uncover your needs, then systematically deploy our proprietary data science and analytics framework platform stack to provide customized modeling and forecasting solutions.
We help hedge funds better understand their sourcing potential for possible investments by looking at their data to identify how their due diligence process can be more systematic and efficient.
For commercial finance firms, we can monitor the corresponding portfolio of specific customer segments to better understand the risk, or help the firm figure out how they can increase their market share and drive up the profitability of the portfolio.
Within the real estate industry, we help companies look at standard metrics such as debt to equity ratio to help determine how they might invest in a property, or help compare one property to another in terms of the amount of return.
We’ve helped private equity firms to increase the value of the company through a variety of data-based, business operations changes that streamline their processes to make them more efficient.
Our primary objective is to be your outsourced data science and analytics team. We get to know you and your data, fitting our stack to your short and long-term needs while applying AI and machine learning where applicable to contextualize data, identify patterns, and unlock new levels of intelligence. From data mining and database building to statistical modeling and forecasting, we customize our solutions relative to your industry, data and niche.
LEARN MOREThroughout the course of your project, we’ll mold our proprietary framework platform stack to meet the unique needs of your organization and data sets. When paired with our personalized client portal, you’ll have 24/7 access to discovered data results and insights through a completely personalized dashboard.
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