The asset management industry is at a crossroads. Traditional investment methods, like financial statement analysis and market trends, are no longer sufficient. With the influx of new data sources and advanced technologies, data science has become the key to finding quality insights. Machine learning and predictive analytics enable asset managers to analyze historical data and identify patterns to predict market movements. Those who master these skills will best position themselves to generate alpha for their clients.

Putting aside the option of doing nothing and ignoring the tectonic change in the industry, asset managers have only two options:

• Develop an in-house 'data' team of data scientists, data & ML engineers, and business analysts.
• Use outside third-party vendors 
who offer different data science services and solutions.

Creating an in-house data science team is a demanding and resource-intensive undertaking that requires significant investment. It takes an average of 40 weeks and a cost of around $30,000 to hire a single data scientist, with the challenge of building an entire team being even more demanding. Recent industry surveys reveal that a data scientist with 0 to 3 years of experience can command an impressive salary of $250,000 to $325,000 in cities like New York and San Francisco. However, hiring an experienced data scientist with over five years of experience can be a much more expensive proposition, with costs ranging from $400,000 to $850,000. With the field of data science projected to grow by 35.2% by 2032, retaining top talent has become increasingly challenging and imperative. Currently, less then 2% of data scientists in the U.S. are unemployed, which makes it difficult to attract and retain the best professionals. Additionally, in-house teams often lack the same contractual obligations as outsourced vendors, leading to missed deadlines and delayed projects. Thus, it is crucial to consider all of these factors carefully before embarking on an in-house data science venture.

The issue with third-party solutions originates from the same problems that arise in building in-house teams. Outside vendors often aim to develop a scalable "off the shelf" solution that can cater to as many clients as possible with their available data science talent. However, this results in the creation of an API with a fancy user interface that is either too general or too niche, similar to most "one-size-fits-all" solutions. While these products may appear to be "better than nothing," they only cater to the bottom decile of managers, often limiting themselves to single products or low AUM participants.

NSigma has designed Managed Analytics as a Solution (MAaaS) with the objective of providing a highly personalized and comprehensive solution that bridges the gap between overly simplistic enterprise tools and the costly and inefficient operations of in-house data teams. Our team of experts has extensive experience in data science and machine learning engineering, which will equip your business with the necessary resources to stay ahead in a rapidly evolving asset management landscape. MAaaS is the ultimate solution that integrates data management, analytics, visualization, and continuous improvement into a cohesive service. You will never have to worry about the health and performance of your data infrastructure and models again, as our team of experts will monitor, maintain, and continuously enhance your data systems, allowing you to concentrate on designing successful investment strategies. Step into the future of investment management with fully managed, continuous, and adaptive data excellence.

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.