The asset management industry is undergoing a fundamental transformation. While traditional investment analysis remains valuable, today's market demands more sophisticated approaches. The convergence of diverse data sources and breakthrough technologies has made data science essential for premium insights. Through machine learning and predictive analytics, asset managers can now identify patterns and anticipate market movements with unprecedented precision—a capability crucial for delivering superior returns to clients.

In response to this industry-wide transformation, asset managers face two strategic pathways:

1. Establish an in-house data science division comprising data scientists, ML engineers, and business analysts
2. Partner with specialized third-party vendors offering comprehensive data science solutions

Why build an internal data science team when the costs and challenges are so substantial? Recruiting just one data scientist typically requires a 40-week process and $30,000 in recruitment costs alone. Add to this the premium compensation demanded by the market—entry-level data scientists command $250,000-$325,000, while experienced professionals require $400,000-$850,000—and the financial burden becomes clear.

Competition for data science talent is fierce, with industry growth projected at 35.2% through 2032 and unemployment rates below 2%. Even after successful recruitment, internal teams often face challenges with project accountability and timeline management that external partnerships naturally solve.

Traditional vendor solutions fall short for modern asset managers. While off-the-shelf platforms cost $100,000 to $250,000 annually, they lack the sophisticated customization today's investment strategies demand. These standardized approaches typically benefit only the bottom 10% of managers—those with basic products or smaller portfolios.

Premium vendor solutions, even at $500,000+ annually, rarely deliver the necessary agility for today's markets. Beyond their inability to adapt to proprietary investment strategies, these platforms introduce significant security and compliance risks. For institutional managers, exposing sensitive data to external systems that may not meet regulatory requirements is an unnecessary gamble.

NSigma has developed Managed Analytics as a Service (MAaaS) as a revolutionary solution that bridges the gap between one-size-fits-all enterprise tools and resource-intensive in-house operations. Our expert team brings extensive experience in data science and machine learning engineering, empowering your organization to maintain its competitive edge in the rapidly evolving asset management landscape.

Our bespoke services are tailored to enhance your decision-making and operational efficiency. Carefully divided into four independent offerings; robust data pipelines and seamless integration of dataACQUIRE, which dataADVANCE taking it to another level with CI/CD enhancement of Data, ML and Data security processes, advanced dataOPTIMA analytics, and strategic dataVISION insights. Our team of experts combines technology with data science to provide a unique approach that fits your existing infrastructure, processes, and preferences. With our services, you can transform complex data into strategic decision-making power. Join us today and explore the limitless possibilities of data-driven success!

Focus

Efficient and automated collection, cleaning, standardization, and integration of diverse data sources into a client's infrastructure.

What Will This Offering do for my firm?

dataACQUIRE is designed to streamline and enhance the data infrastructure backbone of investment management firms. By automating the collection and integration of diverse financial data sources, this solution ensures that data is reliable, timely, and ready for advanced analytical processes. dataACQUIRE reduces operational risks, improves data accuracy, and accelerates time-to-insight, enabling firms to focus on strategic investment decisions and client service.

dataACQUIRE is a mandatory solution for firms without existing data infrastructure, firms with existing infrastructure but lacking streamlined data collection and integration capabilities, and firms needing a robust foundation to support advanced analytics and machine learning initiatives.

Focus

Advanced data computation and analytical processing to extract actionable insights

from complex financial datasets.

What Will This Offering do for my firm?

dataOPTIMA leverages state-of-the-art data science techniques to transform raw financial data into valuable insights. By applying machine learning models and predictive analytics, this solution empowers investment management firms to anticipate market trends and optimize investment strategies. dataOPTIMA enhances your firm's decision-making processes, providing a competitive edge in asset management through deeper analytical insights and improved forecast accuracy.

Firms with established data infrastructures and scientists needing specialized data science expertise to enhance predictive capabilities or to derive deeper insights from their data.

Focus

Transforming complex data insights into clear, actionable visual reports and

dashboards for strategic decision-making.

What Will This Offering do for my firm?

dataVISION specializes in the art and science of data presentation, turning sophisticated financial analyses into visually engaging and easy-to-understand dashboards and reports. This service ensures stakeholders at all levels can comprehend and act upon complex data insights, facilitating enhanced communication and quicker strategic decisions within investment management firms.

Firms that have data scientists and infrastructure but lack specialized skills in data presentation and visualization to effectively communicate insights

Focus

Enhancing and automating data workflows through advanced DataOps, MLOps, and DataSecOps practices to drive operational efficiency and data-driven innovation in financial institutions.

What Will This Offering do for my firm?

dataADVANCE is engineered to streamline your firm’s data operations comprehensively. This solution refines and automates data workflows, integrating DataOps, MLOps, and DataSecOps to enhance data handling processes' efficiency, security, and innovation. By ensuring seamless data workflows, minimal manual intervention, robust security, and efficient model deployment, dataADVANCE boosts the reliability and speed of your data pipelines. It supports real-time data processing, continuous machine learning model integration, and rigorous data security measures, all crucial for making informed, timely investment decisions and maintaining compliance with stringent industry standards.

Firms with existing infrastructure and analytical capabilities but requiring sophisticated automation, enhanced security, and efficient machine learning model management to elevate their data processes and ensure secure, innovative, and efficient data utilization.