Beyond siloed data: Consolidating data for comprehensive portfolio monitoring across all access points

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June 26, 2025

The trajectory of alternative investments has been nothing short of explosive. Global Assets Under Management (AUM) in alternatives soared from $7.2 trillion in 2014 to an impressive $18.2 trillion by 2024, with forecasts projecting this figure to exceed $29.2 trillion by 2029. This remarkable expansion is largely driven by persistent investor demand for diversification, the pursuit of alpha, and the desire for exposure beyond traditional public markets.

However, with this exponential growth comes an inherent escalation in complexity. The very nature of private markets has fostered fragmented data systems, reliance on manual reporting, and disconnected processes. The pervasive challenge of siloed data has become a significant impediment. The result is a “hidden tax” on alpha, an operational drag that quietly eats into returns and makes true portfolio monitoring an uphill battle across a diverse portfolio of investments.

The fractured data environment directly impacts an investor's ability to gain a holistic view and manage their holdings effectively.

What are data silos, and why are they holding you back?

Cloud computing and digital network concept

At the heart of the private markets' data challenge lies the proliferation of data silos. These are isolated pockets of investment information, often spread across numerous fund manager portals, individual emails, static PDFs, and disparate internal spreadsheets. That fragmented ecosystem makes it incredibly difficult to achieve a unified view of your portfolio of investments.

The root causes are manifold. A reliance on legacy systems, the natural formation of departmental silos within organizations, and, critically, a lack of a unified data strategy that spans the entire investment lifecycle.

The detrimental impact of these siloed data environments is profound and far-reaching:

  • Delays and duplication: Manual data collection from numerous sources leads to significant delays in accessing critical information. Teams often duplicate efforts, repeatedly entering the same data from different sources, wasting valuable time and resources.
  • Poor data quality and trust: Without a single source of truth and consistent validation, data quality inevitably suffers. Inconsistencies and errors become common, eroding trust in the very information meant to guide investment decisions and portfolio monitoring.
  • Limited visibility across the portfolio of investments: The most significant drawback is the inability to gain a complete, real-time picture. Siloed data prevents holistic analysis, making it impossible to see the true performance, risk exposure, stress-testing, and interdependencies across your entire portfolio of investments.
  • Missed opportunities, higher risk, higher costs: That lack of visibility directly translates into missed investment opportunities, an inability to identify and mitigate risks proactively, and significantly higher operational costs due to inefficient processes and remedial efforts. Effective portfolio monitoring becomes virtually impossible, hindering strategic decision-making and impacting overall returns.

Related Reading: Guide to choosing the right document acquisition system for alternative investments

‍

The real cost of siloed data

Red financial chart showing market decline

The hidden tax imposed by siloed data isn't some vague, abstract concept. It translates into tangible, often staggering, financial and operational losses for firms managing a diverse portfolio of investments. Research indicates that organizations can incur over 15% in potential annual losses directly attributable to poor data access and quality. This figure underscores the critical need for robust portfolio monitoring solutions.

Beyond the immediate financial impact, the pervasive nature of data silos manifests in several other costly ways:

  • Inconsistent KPIs across teams and platforms: Different departments or systems holding separate data often report on inconsistent Key Performance Indicators (KPIs). That lack of uniformity makes it impossible to build a cohesive narrative about the portfolio of investments, leading to confusion and hindering strategic alignment.
  • Analysts stuck in data wrangling mode: Highly skilled and compensated analysts are frequently trapped in tedious “data wrangling” activities, manually collecting, cleaning, and reconciling information from disparate sources. It diverts valuable talent away from high-value strategic analysis, risk assessment, and proactive portfolio monitoring, which are crucial for generating alpha.
  • Increased storage, system maintenance, and licensing overhead: Maintaining multiple, disconnected systems to house siloed data leads to bloated storage costs, complex system maintenance, and often redundant licensing fees for various software solutions that don't communicate effectively.
  • Cumulative data debt: Over time, the inconsistencies and complexities inherent in siloed data accumulate, creating a “data debt”. The “debt” makes reconciliation exponentially harder and more expensive, impacting the integrity and reliability of historical records critical for long-term portfolio monitoring and performance analysis.
  • Erodes investor confidence: Ultimately, the tangible outcome of siloed data is seen in reporting. Errors, inconsistencies, and outdated information in investor reports can severely erode confidence among LPs, impacting future fundraising capabilities and a firm's reputation in the competitive private markets.

Related Reading: The asset servicing automation imperative: A practical guide to modernization

‍

The vision of unified portfolio monitoring across all access points

Pie chart with hands assembling pieces

The enduring challenge of siloed data has long plagued alternative investors, hindering a truly comprehensive view of their holdings. Yet, the vision for sophisticated portfolio monitoring is clear. Firms aspire to move beyond fragmented insights to achieve a unified, dynamic understanding of their entire portfolio of investments. What leading firms truly seek is:

  • A single source of truth: An aggregated, consistent, and reliable data repository that eliminates discrepancies and ensures confidence in reporting.
  • Real-time performance tracking: The ability to monitor performance across all fund types, from private equity to private debt and real assets, with current, actionable data, transcending the delays inherent in manual processes.
  • Cross-asset visibility and integrated risk insights: A holistic perspective that allows for easier analysis across diverse asset classes, providing integrated insights into risk exposures and interdependencies within the entire portfolio of investments.

The realization of this unified vision offers profound benefits. It enables faster, more informed decisions, shifting firms from reactive reporting to proactive strategy. It ensures cleaner, more accurate regulatory reporting, reducing compliance burdens and risks associated with inconsistent siloed data. Ultimately, it culminates in a truly holistic portfolio of investments, maximizing clarity and control.

The complexity of alternative investment data

Achieving this unified vision for portfolio monitoring is challenging due to the inherent complexity of alternative investment data. Unlike public markets, alternative assets are fundamentally illiquid, private, and often opaque. The very nature of the information flow contributes to siloed data:

  • Data arrives in multiple unstructured formats: From intricate PDFs and varied email communications to diverse manager reports, the raw data comes in forms that resist easy automation.
  • Timelines are irregular, and valuations are often subjective: Unlike daily public market pricing, private asset valuations are typically quarterly, often estimated, and can vary significantly between GPs, complicating consistent aggregation.
  • Manual consolidation is inefficient and error-prone: The process of manually extracting, cleaning, and normalizing this disparate information is not only time-consuming but also highly susceptible to human error, perpetuating the problem of siloed data.
  • Standard BI tools aren’t built for private market complexity: Generic Business Intelligence (BI) platforms lack the specialized intelligence to interpret, structure, and validate the unique, unstructured data common in private equity, private debt, and other alternative asset classes. This gap necessitates purpose-built solutions for effective portfolio monitoring.

Related Reading: Overcoming the challenges of unstructured data

‍

The solution is data consolidation that works

Overcoming the significant hurdles posed by siloed data and achieving truly comprehensive portfolio monitoring requires a strategic shift. The answer lies not in more data but smarter data management: a comprehensive data consolidation approach that integrates cutting-edge technology with private market expertise. This transforms raw, fragmented information into a powerful asset, providing a unified view of your entire portfolio of investments.

Centralize, standardize, and simplify

At the core of an effective data consolidation strategy is the use of a single, unified data platform. That eliminates the widespread duplication and scattered repositories caused by siloed data, ensuring that all relevant information for your portfolio of investments resides in one accessible location.

This centralization effort guarantees accuracy, consistency, and tough version control across all data points, building a foundation of trust. Critically, it enables much deeper portfolio analytics and higher-value reporting capabilities, moving beyond basic summaries to detailed insights essential for sophisticated portfolio monitoring.

AI-powered automation

The key enabler of this transformation is AI-powered automation. Advanced AI can intelligently automate the extraction of critical data from even the most unstructured sources, such as complex fund reports, diverse spreadsheets, and varied email communications. Document management is a critical must-have.

AI-powered data extraction is achieved through proprietary machine-learning models specifically trained for the unique nature of private markets. Such automation drastically reduces manual processing time, often by 80% or more, allowing firms to move away from the hidden tax of operational drag.

Crucially, it frees highly skilled analysts from tedious data wrangling tasks, allowing them to focus on strategic analysis, proactive portfolio monitoring, and value creation for the portfolio of investments rather than being bogged down in spreadsheets.

Related Reading: AI-powered data extraction is transforming alternative asset management

‍

Real benefits to the bottom line

The implementation of a robust data consolidation solution yields tangible, measurable benefits that directly impact a firm's bottom line:

  • Reduced operational overhead and tech stack complexity: By unifying data sources and automating processes, firms can significantly reduce the time, effort, and cost associated with manual data handling and maintaining a fragmented tech stack, moving past the inefficiencies of siloed data.
  • Faster decision-making from reliable data: With consistently accurate and readily accessible data, investment professionals can make more informed and timely decisions, capitalizing on opportunities and reducing risks more effectively across their portfolio of investments.
  • Better allocation of human capital: Shifting analysts from data entry to strategic analysis optimizes the use of talent, leading to higher productivity and greater job satisfaction.
  • Stronger risk oversight and audit trails: Consolidated, validated data provides enhanced visibility into risk factors and a complete, transparent audit trail, bolstering compliance and governance for your portfolio monitoring.
  • Higher investor trust: Delivering consistent, accurate, and timely reports builds confidence with Limited Partners, reinforcing a firm's reputation and supporting future fundraising efforts.

Related Reading: Why you need a strategic approach to maximizing DPI and TVPI for limited partners

‍

Building a data-driven investment organization

Person reviewing financial dashboard on laptop and phone

Moving beyond the constraints of siloed data is a strategic imperative that transforms an investment firm into a truly data-driven organization. This fundamental shift underpins comprehensive portfolio monitoring and optimizes the management of a diverse portfolio of investments.

To achieve this, firms must:

  • Establish a single source of truth: This is the bedrock of data-driven investing. By centralizing all critical private markets data into one reliable, consistent repository, firms eliminate discrepancies and ensure that every team, from investment professionals to operations and investor relations, is working from the same accurate information.
  • Enable consistent terminology, KPIs, and expectations: A unified data platform enforces a common taxonomy. KPIs and financial metrics are defined and measured consistently across all assets and funds, ensuring clarity and alignment. Clear, consistent data sets unambiguous expectations for performance and risk, dramatically improving portfolio monitoring capabilities.
  • Promote data literacy and transparency: Technology alone is not enough. A data-driven organization cultivates an environment where all stakeholders understand the value of data, how to interpret it, and its role in strategic decisions. Overcoming siloed data barriers builds a culture of transparency, encouraging open access to insights and collaborative problem-solving.
  • Competitive advantage: Ultimately, data consolidation and the embrace of a data-driven approach provide a significant competitive edge. Firms can generate insights faster, execute investment decisions more rapidly, and respond to market shifts with unparalleled agility, optimizing their entire portfolio of investments and enhancing their portfolio monitoring capabilities.

Related Reading: Understanding J-curve strategies for private equity investors

‍

Why Accelex

In a market increasingly defined by the ability to effectively use data, Accelex provides the purpose-built solution to transform how you manage your portfolio of investments. We understand the unique challenges posed by siloed data and the critical need for comprehensive portfolio monitoring.

Here's why Accelex is the definitive choice for private market investors:

  • Built specifically for alternative investment data: Unlike generic data solutions, Accelex is engineered from the ground up to understand the complexities, nuances, and varied formats inherent to private market investments. Our platform is trained on the specific types of documents and data points that matter most to your portfolio of investments.
  • Extracts, categorizes, and consolidates data from diverse sources: We eliminate the manual burden by intelligently extracting, categorizing, and consolidating crucial information from unstructured sources like PDFs, emails, and all types of manager reports, directly tackling the problem of siloed data at its source.
  • Proprietary AI models built on private markets: Our advanced AI and machine learning models are not generic. They’re specifically trained on vast datasets unique to private markets. That proprietary intelligence ensures high accuracy and contextual understanding, allowing for frictionless data aggregation across your entire portfolio of investments.
  • Real-time portfolio monitoring: With automated data ingestion and standardization, Accelex delivers timely, accurate insights. This drives true real-time portfolio monitoring, allowing you to assess performance, identify risks, and make informed decisions with unprecedented speed and confidence.
  • Reduces cost, risk, and complexity: By automating labor-intensive processes, centralizing disparate information, and providing reliable data validation, Accelex significantly reduces operational costs, avoids data-related risks, and simplifies the overall complexity of managing a sophisticated portfolio of investments.

Related Reading: Harnessing AI in Investment Services

‍

Ready to eliminate the hidden costs of siloed data?

The hidden costs of siloed data are quietly eroding your returns and slowing your strategic decisions. Don't let fragmented insights obscure the true potential of your portfolio of investments any longer.

Imagine a firm where comprehensive, real-time portfolio monitoring is not just a dream but your daily reality. Accelex offers a groundbreaking, AI-powered solution built specifically to transform how you manage your private market assets, giving you the clarity and control you need.

Unlock the full value of your investments. With Accelex, you'll benefit from automated data consolidation, enhanced accuracy, reduced operational complexity, and the strategic foresight to make truly informed decisions. 

See the transformation for yourself. Request a demo today, and let us show you how Accelex can equip you to achieve a unified view across your entire portfolio of investments, turning data into your most powerful asset.

‍

Book a Free Demo

‍

The trajectory of alternative investments has been nothing short of explosive. Global Assets Under Management (AUM) in alternatives soared from $7.2 trillion in 2014 to an impressive $18.2 trillion by 2024, with forecasts projecting this figure to exceed $29.2 trillion by 2029. This remarkable expansion is largely driven by persistent investor demand for diversification, the pursuit of alpha, and the desire for exposure beyond traditional public markets.

However, with this exponential growth comes an inherent escalation in complexity. The very nature of private markets has fostered fragmented data systems, reliance on manual reporting, and disconnected processes. The pervasive challenge of siloed data has become a significant impediment. The result is a “hidden tax” on alpha, an operational drag that quietly eats into returns and makes true portfolio monitoring an uphill battle across a diverse portfolio of investments.

The fractured data environment directly impacts an investor's ability to gain a holistic view and manage their holdings effectively.

What are data silos, and why are they holding you back?

Cloud computing and digital network concept

At the heart of the private markets' data challenge lies the proliferation of data silos. These are isolated pockets of investment information, often spread across numerous fund manager portals, individual emails, static PDFs, and disparate internal spreadsheets. That fragmented ecosystem makes it incredibly difficult to achieve a unified view of your portfolio of investments.

The root causes are manifold. A reliance on legacy systems, the natural formation of departmental silos within organizations, and, critically, a lack of a unified data strategy that spans the entire investment lifecycle.

The detrimental impact of these siloed data environments is profound and far-reaching:

  • Delays and duplication: Manual data collection from numerous sources leads to significant delays in accessing critical information. Teams often duplicate efforts, repeatedly entering the same data from different sources, wasting valuable time and resources.
  • Poor data quality and trust: Without a single source of truth and consistent validation, data quality inevitably suffers. Inconsistencies and errors become common, eroding trust in the very information meant to guide investment decisions and portfolio monitoring.
  • Limited visibility across the portfolio of investments: The most significant drawback is the inability to gain a complete, real-time picture. Siloed data prevents holistic analysis, making it impossible to see the true performance, risk exposure, stress-testing, and interdependencies across your entire portfolio of investments.
  • Missed opportunities, higher risk, higher costs: That lack of visibility directly translates into missed investment opportunities, an inability to identify and mitigate risks proactively, and significantly higher operational costs due to inefficient processes and remedial efforts. Effective portfolio monitoring becomes virtually impossible, hindering strategic decision-making and impacting overall returns.

Related Reading: Guide to choosing the right document acquisition system for alternative investments

‍

The real cost of siloed data

Red financial chart showing market decline

The hidden tax imposed by siloed data isn't some vague, abstract concept. It translates into tangible, often staggering, financial and operational losses for firms managing a diverse portfolio of investments. Research indicates that organizations can incur over 15% in potential annual losses directly attributable to poor data access and quality. This figure underscores the critical need for robust portfolio monitoring solutions.

Beyond the immediate financial impact, the pervasive nature of data silos manifests in several other costly ways:

  • Inconsistent KPIs across teams and platforms: Different departments or systems holding separate data often report on inconsistent Key Performance Indicators (KPIs). That lack of uniformity makes it impossible to build a cohesive narrative about the portfolio of investments, leading to confusion and hindering strategic alignment.
  • Analysts stuck in data wrangling mode: Highly skilled and compensated analysts are frequently trapped in tedious “data wrangling” activities, manually collecting, cleaning, and reconciling information from disparate sources. It diverts valuable talent away from high-value strategic analysis, risk assessment, and proactive portfolio monitoring, which are crucial for generating alpha.
  • Increased storage, system maintenance, and licensing overhead: Maintaining multiple, disconnected systems to house siloed data leads to bloated storage costs, complex system maintenance, and often redundant licensing fees for various software solutions that don't communicate effectively.
  • Cumulative data debt: Over time, the inconsistencies and complexities inherent in siloed data accumulate, creating a “data debt”. The “debt” makes reconciliation exponentially harder and more expensive, impacting the integrity and reliability of historical records critical for long-term portfolio monitoring and performance analysis.
  • Erodes investor confidence: Ultimately, the tangible outcome of siloed data is seen in reporting. Errors, inconsistencies, and outdated information in investor reports can severely erode confidence among LPs, impacting future fundraising capabilities and a firm's reputation in the competitive private markets.

Related Reading: The asset servicing automation imperative: A practical guide to modernization

‍

The vision of unified portfolio monitoring across all access points

Pie chart with hands assembling pieces

The enduring challenge of siloed data has long plagued alternative investors, hindering a truly comprehensive view of their holdings. Yet, the vision for sophisticated portfolio monitoring is clear. Firms aspire to move beyond fragmented insights to achieve a unified, dynamic understanding of their entire portfolio of investments. What leading firms truly seek is:

  • A single source of truth: An aggregated, consistent, and reliable data repository that eliminates discrepancies and ensures confidence in reporting.
  • Real-time performance tracking: The ability to monitor performance across all fund types, from private equity to private debt and real assets, with current, actionable data, transcending the delays inherent in manual processes.
  • Cross-asset visibility and integrated risk insights: A holistic perspective that allows for easier analysis across diverse asset classes, providing integrated insights into risk exposures and interdependencies within the entire portfolio of investments.

The realization of this unified vision offers profound benefits. It enables faster, more informed decisions, shifting firms from reactive reporting to proactive strategy. It ensures cleaner, more accurate regulatory reporting, reducing compliance burdens and risks associated with inconsistent siloed data. Ultimately, it culminates in a truly holistic portfolio of investments, maximizing clarity and control.

The complexity of alternative investment data

Achieving this unified vision for portfolio monitoring is challenging due to the inherent complexity of alternative investment data. Unlike public markets, alternative assets are fundamentally illiquid, private, and often opaque. The very nature of the information flow contributes to siloed data:

  • Data arrives in multiple unstructured formats: From intricate PDFs and varied email communications to diverse manager reports, the raw data comes in forms that resist easy automation.
  • Timelines are irregular, and valuations are often subjective: Unlike daily public market pricing, private asset valuations are typically quarterly, often estimated, and can vary significantly between GPs, complicating consistent aggregation.
  • Manual consolidation is inefficient and error-prone: The process of manually extracting, cleaning, and normalizing this disparate information is not only time-consuming but also highly susceptible to human error, perpetuating the problem of siloed data.
  • Standard BI tools aren’t built for private market complexity: Generic Business Intelligence (BI) platforms lack the specialized intelligence to interpret, structure, and validate the unique, unstructured data common in private equity, private debt, and other alternative asset classes. This gap necessitates purpose-built solutions for effective portfolio monitoring.

Related Reading: Overcoming the challenges of unstructured data

‍

The solution is data consolidation that works

Overcoming the significant hurdles posed by siloed data and achieving truly comprehensive portfolio monitoring requires a strategic shift. The answer lies not in more data but smarter data management: a comprehensive data consolidation approach that integrates cutting-edge technology with private market expertise. This transforms raw, fragmented information into a powerful asset, providing a unified view of your entire portfolio of investments.

Centralize, standardize, and simplify

At the core of an effective data consolidation strategy is the use of a single, unified data platform. That eliminates the widespread duplication and scattered repositories caused by siloed data, ensuring that all relevant information for your portfolio of investments resides in one accessible location.

This centralization effort guarantees accuracy, consistency, and tough version control across all data points, building a foundation of trust. Critically, it enables much deeper portfolio analytics and higher-value reporting capabilities, moving beyond basic summaries to detailed insights essential for sophisticated portfolio monitoring.

AI-powered automation

The key enabler of this transformation is AI-powered automation. Advanced AI can intelligently automate the extraction of critical data from even the most unstructured sources, such as complex fund reports, diverse spreadsheets, and varied email communications. Document management is a critical must-have.

AI-powered data extraction is achieved through proprietary machine-learning models specifically trained for the unique nature of private markets. Such automation drastically reduces manual processing time, often by 80% or more, allowing firms to move away from the hidden tax of operational drag.

Crucially, it frees highly skilled analysts from tedious data wrangling tasks, allowing them to focus on strategic analysis, proactive portfolio monitoring, and value creation for the portfolio of investments rather than being bogged down in spreadsheets.

Related Reading: AI-powered data extraction is transforming alternative asset management

‍

Real benefits to the bottom line

The implementation of a robust data consolidation solution yields tangible, measurable benefits that directly impact a firm's bottom line:

  • Reduced operational overhead and tech stack complexity: By unifying data sources and automating processes, firms can significantly reduce the time, effort, and cost associated with manual data handling and maintaining a fragmented tech stack, moving past the inefficiencies of siloed data.
  • Faster decision-making from reliable data: With consistently accurate and readily accessible data, investment professionals can make more informed and timely decisions, capitalizing on opportunities and reducing risks more effectively across their portfolio of investments.
  • Better allocation of human capital: Shifting analysts from data entry to strategic analysis optimizes the use of talent, leading to higher productivity and greater job satisfaction.
  • Stronger risk oversight and audit trails: Consolidated, validated data provides enhanced visibility into risk factors and a complete, transparent audit trail, bolstering compliance and governance for your portfolio monitoring.
  • Higher investor trust: Delivering consistent, accurate, and timely reports builds confidence with Limited Partners, reinforcing a firm's reputation and supporting future fundraising efforts.

Related Reading: Why you need a strategic approach to maximizing DPI and TVPI for limited partners

‍

Building a data-driven investment organization

Person reviewing financial dashboard on laptop and phone

Moving beyond the constraints of siloed data is a strategic imperative that transforms an investment firm into a truly data-driven organization. This fundamental shift underpins comprehensive portfolio monitoring and optimizes the management of a diverse portfolio of investments.

To achieve this, firms must:

  • Establish a single source of truth: This is the bedrock of data-driven investing. By centralizing all critical private markets data into one reliable, consistent repository, firms eliminate discrepancies and ensure that every team, from investment professionals to operations and investor relations, is working from the same accurate information.
  • Enable consistent terminology, KPIs, and expectations: A unified data platform enforces a common taxonomy. KPIs and financial metrics are defined and measured consistently across all assets and funds, ensuring clarity and alignment. Clear, consistent data sets unambiguous expectations for performance and risk, dramatically improving portfolio monitoring capabilities.
  • Promote data literacy and transparency: Technology alone is not enough. A data-driven organization cultivates an environment where all stakeholders understand the value of data, how to interpret it, and its role in strategic decisions. Overcoming siloed data barriers builds a culture of transparency, encouraging open access to insights and collaborative problem-solving.
  • Competitive advantage: Ultimately, data consolidation and the embrace of a data-driven approach provide a significant competitive edge. Firms can generate insights faster, execute investment decisions more rapidly, and respond to market shifts with unparalleled agility, optimizing their entire portfolio of investments and enhancing their portfolio monitoring capabilities.

Related Reading: Understanding J-curve strategies for private equity investors

‍

Why Accelex

In a market increasingly defined by the ability to effectively use data, Accelex provides the purpose-built solution to transform how you manage your portfolio of investments. We understand the unique challenges posed by siloed data and the critical need for comprehensive portfolio monitoring.

Here's why Accelex is the definitive choice for private market investors:

  • Built specifically for alternative investment data: Unlike generic data solutions, Accelex is engineered from the ground up to understand the complexities, nuances, and varied formats inherent to private market investments. Our platform is trained on the specific types of documents and data points that matter most to your portfolio of investments.
  • Extracts, categorizes, and consolidates data from diverse sources: We eliminate the manual burden by intelligently extracting, categorizing, and consolidating crucial information from unstructured sources like PDFs, emails, and all types of manager reports, directly tackling the problem of siloed data at its source.
  • Proprietary AI models built on private markets: Our advanced AI and machine learning models are not generic. They’re specifically trained on vast datasets unique to private markets. That proprietary intelligence ensures high accuracy and contextual understanding, allowing for frictionless data aggregation across your entire portfolio of investments.
  • Real-time portfolio monitoring: With automated data ingestion and standardization, Accelex delivers timely, accurate insights. This drives true real-time portfolio monitoring, allowing you to assess performance, identify risks, and make informed decisions with unprecedented speed and confidence.
  • Reduces cost, risk, and complexity: By automating labor-intensive processes, centralizing disparate information, and providing reliable data validation, Accelex significantly reduces operational costs, avoids data-related risks, and simplifies the overall complexity of managing a sophisticated portfolio of investments.

Related Reading: Harnessing AI in Investment Services

‍

Ready to eliminate the hidden costs of siloed data?

The hidden costs of siloed data are quietly eroding your returns and slowing your strategic decisions. Don't let fragmented insights obscure the true potential of your portfolio of investments any longer.

Imagine a firm where comprehensive, real-time portfolio monitoring is not just a dream but your daily reality. Accelex offers a groundbreaking, AI-powered solution built specifically to transform how you manage your private market assets, giving you the clarity and control you need.

Unlock the full value of your investments. With Accelex, you'll benefit from automated data consolidation, enhanced accuracy, reduced operational complexity, and the strategic foresight to make truly informed decisions. 

See the transformation for yourself. Request a demo today, and let us show you how Accelex can equip you to achieve a unified view across your entire portfolio of investments, turning data into your most powerful asset.

‍

Book a Free Demo

‍

Beyond siloed data: Consolidating data for comprehensive portfolio monitoring across all access points
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About Accelex

Accelex provides data acquisition, analytics and reporting solutions for investors and asset servicers enabling firms to access the full potential of their investment performance and transaction data. Powered by proprietary artificial intelligence and machine learning techniques, Accelex automates processes for the extraction, analysis and sharing of difficult-to-access unstructured data. Founded by senior alternative investment executives, former BCG partners and successful fintech entrepreneurs, Accelex is headquartered in London with offices in Paris, Luxembourg, New York and Toronto. For more information, please visit accelextech.com

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