Dynamo Data Automation Brochure

Dynamo Data Automation (DDA), Dynamo Software’s data automation solution for institutional investors, asset allocators, endowments, foundations, pensions, family offices, and other investment organizations seeking to improve data collection, processing, validation, and reporting workflows. DDA combines artificial intelligence, automation, and investment-focused data management processes to transform unstructured investment data into organized, accessible, and actionable information.

Investment teams receive large volumes of documents, emails, reports, statements, capital account data, and portfolio updates from multiple sources. Manual collection, classification, extraction, and validation can consume significant operational resources while increasing the risk of errors. Dynamo Data Automation helps firms centralize investment data, improve data quality, accelerate reporting, and create a single source of truth across the organization.

 

Six Core Capabilities of Dynamo Data Automation & HoldingsInsight

Automated Data Collection

Aggregate investment information from multiple sources into a centralized system, eliminating fragmented workflows and reducing the time spent gathering documents and data.

Key Benefits:

• Consolidate data from investor portals, email inboxes, file servers, custodians, and other external sources, creating a centralized repository that improves visibility and provides a single source of truth for investment information.
• Reduce manual effort associated with collecting and organizing investment information, allowing teams to spend less time on administrative tasks and more time on analysis, reporting, and decision-making.
• Improve operational efficiency by automating repetitive administrative tasks, helping streamline workflows, increase productivity, and reduce the risk of manual errors.
• Ensure critical investment documents are captured and stored in a consistent manner, supporting stronger data governance, easier document retrieval, and more reliable reporting processes.
• Create a more complete and accessible investment record across the organization, enabling teams to access the information they need faster and collaborate more effectively across investment, operations, and reporting functions.

AI-Powered Content Classification

Automatically organize incoming documents and communications using artificial intelligence, natural language processing, and machine learning technology.

Key Benefits:

• Turn unstructured content into searchable, actionable information, making it easier for investment teams to find, analyze, and leverage critical data across their portfolios.
• Improve organization of investment documents, reports, and correspondence, creating a centralized and structured information environment that supports more efficient investment operations.
• Reduce time spent manually categorizing and tagging files, freeing teams from repetitive administrative work and allowing them to focus on higher-value analysis and decision-making.
• Increase consistency across investment operations and reporting teams, helping ensure information is categorized, managed, and accessed using standardized processes.
• Enable faster retrieval of critical portfolio information during analysis and due diligence, providing quick access to the documents and data needed to support informed investment decisions.

Investment Data Extraction

Convert complex investment reports and manager communications into structured data that can be leveraged for portfolio monitoring and analysis.

Key Benefits:

• Eliminate manual data entry from investment statements and reports, reducing administrative workloads, minimizing the risk of human error, and improving the accuracy of portfolio data.
• Accelerate reporting cycles and portfolio reviews by transforming investment information into structured, usable data that can be accessed and analyzed more efficiently.
• Improve the timeliness of investment information available to stakeholders, enabling faster responses to reporting requests and more informed investment decision-making.
• Capture both qualitative and quantitative portfolio data in a standardized format, creating greater consistency across reporting, analysis, reconciliation, and compliance processes.
• Empower teams to spend more time analyzing investments rather than processing documents, allowing investment professionals to focus on strategic initiatives, portfolio oversight, and value-added decision-making.

Data Validation & Quality Control

Apply multiple layers of validation, reconciliation, and review processes to ensure investment data remains accurate and reliable.

Key Benefits:

• Improve confidence in investment reporting and portfolio analytics by leveraging validated, accurate data that supports more reliable performance measurement, portfolio monitoring, and decision-making.
• Reduce operational risk associated with manual data handling, helping minimize errors, strengthen internal controls, and improve the consistency of investment processes.
• Identify discrepancies before they impact performance reporting or investment decisions, allowing teams to address potential issues proactively and maintain trust in portfolio data.
• Support stronger governance and oversight across investment operations by providing greater transparency, accountability, and visibility into data management and reporting workflows.
• Maintain data integrity across portfolio management, accounting, and reporting functions, ensuring stakeholders are working from consistent, accurate information throughout the organization.

Data Enrichment & Portfolio Intelligence

Enhance investment information with supplemental data sources, creating a more comprehensive view of portfolios, holdings, and exposures.

Key Benefits:

• Gain deeper visibility into portfolio composition and investment exposure, providing a more comprehensive understanding of underlying investments, concentrations, and portfolio positioning across asset classes and strategies.
• Support more informed investment research and due diligence by supplementing portfolio data with additional insights that help teams evaluate opportunities, monitor managers, and assess investment risks with greater confidence.
• Improve portfolio monitoring with additional market and reference data, enabling investment professionals to track changes more effectively and maintain up-to-date views of portfolio activity and exposure.
• Strengthen risk management and allocation analysis capabilities by providing greater transparency into portfolio characteristics, helping organizations evaluate diversification, concentration, and alignment with investment objectives.
• Help investment teams uncover insights that may not be available from manager-provided reporting alone, allowing for deeper analysis, enhanced portfolio oversight, and more informed investment decision-making.

Centralized Data Access & Reporting

Provide investment professionals with a single source of truth that supports reporting, portfolio analysis, research, and decision-making.

Key Benefits:

• Create a unified view of investment information across the organization, centralizing documents, data, and reporting into a single source of truth that improves visibility and supports more efficient investment management.
• Improve collaboration between investment, operations, finance, and reporting teams by providing consistent access to trusted information and reducing reliance on disconnected systems and manual processes.
• Accelerate portfolio reporting and stakeholder communications by making critical investment data easier to access, analyze, and distribute across the organization.
• Enable more consistent and transparent investment oversight by ensuring teams are working from the same validated information and maintaining greater visibility into portfolio activity and performance.
• Support faster, better-informed decisions with trusted data available in one location, allowing stakeholders to spend less time searching for information and more time focused on analysis, strategy, and investment outcomes.

 

Who Is Dynamo Data Automation Built For?

Dynamo Data Automation is designed for investment organizations seeking to modernize investment operations, improve portfolio data quality, automate reporting processes, and reduce the burden of manual data management. Common user groups include institutional investors, alternative investment firms, endowments, foundations, pensions, family offices, OCIOs, and multi-asset class investment teams.