Finaprins
Solutions for Quantitative Analysis / Data Science Teams
At Finaprins, we understand that the success of your quantitative strategies hinges on the quality, accessibility, and reliability of your data. We empower your quant and data science teams by handling the complexities of data engineering, so they can focus on what they do best: generating alpha, managing risk, and driving innovation.
- Your Goal: To identify new, exploitable market inefficiencies and generate consistent alpha by building and rigorously testing predictive models.
- Typical problems/issues:
- Spending excessive time (60-80%) on data sourcing, cleaning, and preparation instead of model development and analysis.
- Inconsistent or erroneous market and alternative data leading to flawed backtests and unreliable model signals.
- Difficulty integrating diverse data sources (market, fundamental, alternative) into a unified format for modeling.
- Lack of standardized, “AI-ready” data slowing down the machine learning development lifecycle.
- Repetitive manual tasks in data processing drain valuable quant resources.
- What Finaprins Does: We provide your quantitative teams with clean, validated, standardized, and easily accessible market and alternative data, creating an AI-ready foundation to accelerate the development and backtesting of predictive models.
- How Finaprins Does It:
- Market Data Management Solutions: Sourcing, validation, transformation, and integration of market data from multiple vendors and alternative sources.
- AI Data Pipelines: Developing and managing automated data pipelines that feed clean, structured data directly into your modeling environments.
- Continuous Data Quality Monitoring: Ensuring ongoing accuracy and reliability of data feeds critical for model training and validation.
- TradeView Platform: Leveraging our platform for efficient data processing and access.
- Compelling Reason to Buy:
- Focus on Alpha Generation: Free up your quants to concentrate on sophisticated modeling and strategy research, not data wrangling.
- Faster Model Iteration: Significantly reduce the time-to-market for new predictive models with AI-ready data.
- More Robust Models: Build more reliable and accurate models based on high-quality, consistent data, leading to better predictive power.
- Enhanced Quantitative Analysis: Gain deeper insights by easily combining diverse, validated datasets.
- Your Goal: To measure and minimize the market impact and costs associated with trade execution, thereby preserving alpha.
- Typical problems/issues:
- Inconsistent trade data formats from various brokers, ECNs, and internal systems make aggregation and comparison difficult.
- Missing or inaccurate timestamps, fill quantities, or commission data corrupting TCA results.
- Delays in accessing complete post-trade data hindering timely analysis and feedback to traders.
- Difficulty reconciling executed trades with order data for precise impact measurement.
- Manual effort required to standardize and clean trade data before analysis.
- What Finaprins Does: We deliver standardized, reconciled, and accurate trade data, enabling precise and efficient Transaction Cost Analysis.
- How Finaprins Does It:
- Trade Data Transformation and Standardization: Converting diverse trade data feeds into a unified, analysis-ready format.
- Trade Data Reconciliation: Identifying and resolving discrepancies between different trade records (e.g., OMS vs. execution venue).
- Trade Data Conversion: Ensuring seamless data transfer between systems by handling incompatible trade formats.
- Data Models Implementation: Optionally converting trade data into industry standards like FpML or CDM for enhanced consistency.
- Compelling Reason to Buy:
- Accurate TCA Reporting: Gain reliable insights into true trading costs and execution quality.
- Actionable Insights: Identify opportunities to optimize execution strategies and reduce slippage.
- Preserve Alpha: Minimize transaction costs to improve net portfolio returns.
- Streamlined Operations: Automate the collection and preparation of data for TCA, saving valuable analyst time.
- Your Goal: To accurately quantify, continuously monitor, and effectively communicate the market risk exposures of portfolios to internal stakeholders and regulators.
- Typical problems/issues:
- Aggregating positions and market data from disparate systems with varying formats and levels of granularity.
- Ensuring the quality, timeliness, and consistency of market data (prices, volatilities, correlations) used in risk calculations.
- Difficulty sourcing and preparing consistent historical data for robust stress testing and backtesting of risk models.
- Manual and error-prone processes for data collection and preparation for risk reporting.
- Lack of a unified data view hindering comprehensive risk assessment.
- What Finaprins Does: We provide a consistent, validated, and timely stream of market and position data, forming a reliable foundation for your market risk calculations, monitoring, and scenario analysis.
- How Finaprins Does It:
- Market Data Management Solutions: Sourcing, validating, transforming, and integrating all necessary market data for risk models.
- Trade Data Standardization: Ensuring position data is consistent and ready for risk aggregation.
- Internal Data Integration and Reporting: Combining internal position data with external market data into a unified view.
- AI Data Pipelines (adaptable for risk): Automating the flow of data into your risk engines.
- Continuous Data Quality Monitoring: Maintaining the integrity of data feeds essential for accurate risk measurement.
- Compelling Reason to Buy:
- Accurate Risk Measurement: Make confident decisions based on reliable VaR, ES, and stress test results.
- Timely Risk Reporting: Meet internal and regulatory reporting deadlines with automated data feeds.
- Enhanced Risk Oversight: Gain a clearer, more comprehensive view of portfolio risk exposures.
- Efficient Risk Operations: Reduce manual effort in data preparation, allowing risk analysts to focus on analysis and interpretation.
- Your Goal: To accurately assess and quantify the creditworthiness of counterparties and the risk inherent in credit portfolios, supporting prudent lending and investment decisions.
- Typical problems/issues:
- Integrating diverse data sources: financial statements, market data (e.g., CDS spreads, equity prices), internal ratings, economic data, and counterparty-specific information.
- Data quality issues: missing values, inconsistencies, and inaccuracies in historical data affecting model accuracy and validation.
- Lack of sufficient, clean historical data for robust model development and backtesting, especially for low-default portfolios.
- Standardizing data from various internal and external systems for a consistent modeling input.
- What Finaprins Does: We deliver clean, structured, and comprehensive datasets by integrating and validating diverse financial, market, and alternative data sources essential for robust credit risk modeling and validation.
- How Finaprins Does It:
- Market Data Management Solutions: Sourcing and validating relevant market data (e.g., credit spreads, equity volatility) that can be inputs to credit models.
- Internal Data Integration: Assisting in consolidating and standardizing internal client data, loan characteristics, and payment histories.
- AI Data Pipelines: Creating automated pipelines to feed cleaned and structured data into credit risk modeling platforms.
- Continuous Data Quality Monitoring: Ensuring the ongoing accuracy and reliability of data used for credit risk assessment.
- Compelling Reason to Buy:
- More Accurate Credit Risk Models: Develop and validate PD, LGD, and EAD models with higher predictive power using reliable data.
- Improved Decision-Making: Make more informed lending, investment, and counterparty limit decisions.
- Regulatory Compliance: Support regulatory requirements (e.g., Basel, IFRS 9) with well-documented and auditable data inputs.
- Efficient Model Development: Accelerate the credit risk model lifecycle by reducing time spent on data preparation and cleansing.
- Your Goal: To construct and manage portfolios that optimally balance risk and return according to specific investment objectives, constraints, and risk tolerances.
- Typical problems/issues:
- Inconsistent or unreliable asset price and characteristics data (e.g., expected returns, covariances, factor exposures) leading to suboptimal portfolio allocations.
- Difficulty incorporating accurate transaction cost estimates into the optimization process due to fragmented trade data.
- Challenges in sourcing and integrating diverse datasets (market, fundamental, alternative) needed for sophisticated optimizers.
- Manual data input processes for optimization routines are time-consuming and error-prone.
- What Finaprins Does: We provide high-quality, consistent, and timely data inputs—including asset prices, characteristics, and transaction cost data—essential for effective portfolio optimization.
- How Finaprins Does It:
- Market Data Management Solutions: Delivering validated historical and real-time prices, volatilities, correlations, and other market-derived inputs.
- Trade Data Standardization: Providing clean data that can be used to estimate transaction costs for optimization.
- Data Integration: Consolidating various data feeds required by your optimization models (e.g., fundamental data, ESG scores if applicable).
- AI Data Pipelines: Automating the delivery of prepared data sets to your portfolio optimization engines.
- Compelling Reason to Buy:
- More Effective Portfolio Construction: Achieve portfolio allocations that better reflect intended strategies and risk profiles.
- Improved Risk-Adjusted Returns: Enhance portfolio performance by using accurate and comprehensive data in optimization.
- Increased Operational Efficiency: Automate data feeds into optimizers, allowing portfolio managers to focus on strategy.
- Ability to Implement Sophisticated Strategies: Easily incorporate diverse datasets to support advanced optimization techniques.
- Your Goal: To proactively adjust portfolio allocations across asset classes in response to evolving market signals, economic indicators, or model-driven forecasts to enhance returns or manage risk.
- Typical problems/issues:
- Timely access to a wide array of reliable data for signal generation: market data, economic releases, sentiment data, alternative data.
- Ensuring the quality, consistency, and comparability of diverse data series used as inputs for tactical allocation models.
- Integrating new or unconventional data sources quickly to capture emerging market dynamics.
- Data pipeline latency or failures causing missed opportunities or delayed reactions.
- What Finaprins Does: We enable your dynamic asset allocation strategies by sourcing, validating, and delivering a broad range of timely and high-quality data feeds required for generating actionable investment signals.
- How Finaprins Does It:
- Market Data Sourcing & Distribution: Acquiring diverse data (economic indicators, market prices, volatilities, alternative data) and delivering it efficiently.
- Market Data Validation & Transformation: Ensuring data is clean, consistent, and in the right format for your models.
- AI Data Pipelines: Building robust pipelines to continuously feed signal-generating models with the latest data.
- Integration of New Data Sources: Expertise in quickly onboarding and integrating new or alternative datasets.
- Compelling Reason to Buy:
- More Responsive Strategies: Make timely allocation shifts based on fresh, reliable data.
- Capture More Opportunities: Leverage a wider array of data sources to identify unique investment signals.
- Improved Alpha Potential: Enhance the effectiveness of tactical asset allocation models through superior data inputs.
- Reduced Data Latency: Ensure your models react promptly to market-moving information.
- Your Goal: To assess portfolio resilience and potential performance by simulating its behavior under a range of hypothetical or historical market scenarios (e.g., interest rate shocks, market crashes, geopolitical events).
- Typical problems/issues:
- Sourcing and structuring consistent historical data for assets and risk factors relevant to chosen scenarios.
- Ensuring data quality and consistency across different asset classes and time periods for meaningful scenario construction.
- Integrating diverse data types (e.g., market prices, economic data, credit spreads) to define comprehensive scenarios.
- Time-consuming manual effort to gather and prepare data for each scenario analysis run.
- What Finaprins Does: We provide validated, consistent historical and current market data, meticulously organized to facilitate robust and insightful portfolio scenario analysis.
- How Finaprins Does It:
- Market Data Management Solutions: Sourcing, validating, and storing deep historical market data across various asset classes.
- Market Data Integration: Consolidating required data (e.g., prices, rates, volatilities, correlations) into a usable format for scenario generation.
- Data Quality Monitoring: Ensuring the integrity of historical data series used in simulations.
- Automated Data Feeds: Potentially providing structured data feeds for regular scenario updates via our AI Data Pipelines.
- Compelling Reason to Buy:
- More Realistic Scenario Testing: Build more credible scenarios using high-quality, consistent historical data.
- Better Risk Understanding: Gain deeper insights into potential portfolio vulnerabilities and tail risks.
- Informed Strategic Decisions: Make more confident decisions about portfolio positioning and hedging.
- Efficient Analysis: Reduce the time spent on data collection and preparation, allowing more focus on interpreting scenario outcomes.
- Your Goal: To accurately determine the fair value of complex financial instruments for trading, risk management, and accounting purposes.
- Typical problems/issues:
- Accessing reliable and timely market data inputs: underlying asset prices, volatility surfaces, interest rate curves, dividend yields, correlation matrices.
- Ensuring the quality and consistency of market data, especially for illiquid instruments or complex derivatives.
- Integrating data from multiple sources (e.g., different vendors for rates vs. volatilities) into a coherent input set for models.
- Lack of robust historical data for calibrating and backtesting pricing models.
- What Finaprins Does: We deliver clean, validated, and timely market data critical for the accurate pricing and calibration of derivative models.
- How Finaprins Does It:
- Market Data Sourcing & Distribution: Acquiring all necessary market data inputs (spot prices, forwards, volatilities, curves) from diverse sources.
- Market Data Validation: Eliminating errors and inconsistencies to ensure high-quality inputs for pricing engines.
- Market Data Transformation: Converting data into the specific formats required by your pricing libraries or systems.
- Market Data Integration: Consolidating market data into a unified platform for easy access by pricing models.
- Compelling Reason to Buy:
- Accurate Valuations: Price derivatives with greater confidence using reliable market data.
- Reduced Pricing Errors: Minimize the risk of mispricing due to faulty data inputs.
- Improved Risk Management: More accurately assess the risks associated with derivative positions.
- Efficient Model Calibration: Streamline the process of calibrating models with high-quality historical and current data.
- Your Goal: To dissect portfolio performance and clearly identify the contributions of various investment decisions (e.g., asset allocation, security selection, currency effects) relative to a benchmark.
- Typical problems/issues:
- Inconsistent or missing benchmark data.
- Difficulty accurately linking daily portfolio holdings, weights, and transactions to returns.
- Errors in position, transaction, or pricing data leading to incorrect attribution results.
- Manual, time-consuming processes to gather and align portfolio, benchmark, and market data for attribution calculations.
- Standardizing data from multiple systems (portfolio accounting, order management, risk) for a holistic view.
- What Finaprins Does: We provide clean, standardized, and synchronized portfolio, benchmark, and market data, enabling accurate and automated performance attribution analysis.
- How Finaprins Does It:
- Trade Data Transformation and Standardization: Ensuring accurate and consistent portfolio holdings and transaction data.
- Trade Data Reconciliation: Verifying position data against other sources.
- Market Data Management Solutions: Sourcing, validating, and delivering accurate benchmark constituent data and prices.
- Internal Data Integration and Reporting: Combining data from various internal systems into a unified dataset for attribution.
- Data Models Implementation: Potentially structuring data using industry standards (FpML, CDM) that can aid consistency.
- Compelling Reason to Buy:
- Accurate and Insightful Attribution: Clearly understand the true drivers of portfolio performance.
- Improved Investment Process: Identify strengths and weaknesses in decision-making to refine strategies.
- Effective Client Communication: Clearly articulate investment value to clients and stakeholders.
- Streamlined Reporting: Automate data preparation for attribution, saving significant time and reducing errors.
- Your Goal: To translate sophisticated quantitative findings, risk metrics, and performance data into easily understandable visual formats for effective communication and decision-making.
- Typical problems/issues:
- Data is scattered across multiple systems and formats, making it difficult to consolidate for visualization.
- Inconsistent or poor-quality underlying data leading to misleading dashboards.
- Quants spending too much time on data extraction and preparation for reporting tools, rather than on analysis and insight generation.
- Lack of automated data feeds to keep dashboards updated in near real-time.
- What Finaprins Does: We provide a unified, clean, and analysis-ready data foundation that seamlessly powers your visualization tools and dashboards, enabling your quants to focus on insight rather than data wrangling.
- How Finaprins Does It:
- All Core Data Services: Our Trade Data Transformation, Market Data Management, and Data Engineering services contribute to creating a “single source of truth.”
- Internal Data Integration and Reporting: Consolidating data from diverse sources specifically for reporting and BI tools.
- AI Data Pipelines: Automating the flow of processed data to dashboarding platforms.
- Data Standardization: Ensuring data consistency across all visualizations.
- Compelling Reason to Buy:
- Impactful Communication: Create clear, compelling visualizations that drive understanding and action.
- Data-Driven Decisions: Empower stakeholders with timely and accurate insights.
- Increased Efficiency: Quants and analysts spend less time on data prep and more on deriving value.
- Consistent Reporting: Ensure all reports and dashboards are based on the same reliable, high-quality data.
- Your Goal: To provide interactive tools that help clients or sales teams visualize and comprehend the potential outcomes of various investment strategies or market events, enhancing engagement and understanding.
- Typical problems/issues:
- Accessing and integrating the diverse, reliable data needed to power these simulations (e.g., historical performance, risk factors, market data).
- Ensuring the underlying data for the tools is accurate, consistent, and regularly updated.
- Complexity in making quantitative concepts accessible and interactive without oversimplifying or misrepresenting them.
- Significant development effort required for both the tool’s logic and its data backend.
- What Finaprins Does: We supply the robust, validated, and structured data backbone required to build interactive and insightful client-facing tools and simulations.
- How Finaprins Does It:
- Market Data Management Solutions: Providing historical and current market data needed for simulations.
- Trade Data Services (if relevant for portfolio-specific tools): Standardizing portfolio data that might feed into personalized simulations.
- AI Data Pipelines: Ensuring that these tools are fed with up-to-date and clean data.
- Data Integration: Consolidating various data sources into a format usable by the simulation tools.
- Compelling Reason to Buy:
- Enhanced Client Engagement: Offer clients intuitive tools to explore investment concepts and portfolio impacts.
- Improved Sales Effectiveness: Equip sales teams with powerful aids to explain complex products or strategies.
- Greater Transparency: Build trust by allowing stakeholders to interact with data-driven scenarios.
- Focus on Tool Development: Your developers can concentrate on the user interface and simulation logic, relying on us for the data foundation.
- Your Goal: To ensure accurate calculation and reporting of regulatory capital, meeting stringent compliance standards while optimizing capital efficiency.
- Typical problems/issues:
- Aggregating vast amounts of diverse data (positions, market data, counterparty information, risk parameters) from multiple siloed systems.
- Ensuring data quality, consistency, lineage, and auditability as mandated by regulators.
- Keeping up with evolving regulatory data requirements and calculation methodologies.
- Manual and error-prone data collection and transformation processes increasing operational risk.
- What Finaprins Does: We provide standardized, validated, and auditable data feeds tailored for regulatory capital calculations, streamlining your compliance processes and reducing operational risk.
- How Finaprins Does It:
- Trade Data Transformation and Standardization: Ensuring position and exposure data is accurate and consistently formatted.
- Market Data Management Solutions: Providing validated market data inputs required for capital models.
- Regulatory Reporting Services: Leveraging our expertise in data structuring for frameworks like Digital Regulatory Reporting (DRR).
- Continuous Data Quality Monitoring: Maintaining the high level of data integrity required for regulatory submissions.
- Data Models Implementation (FpML, CDM): Using industry standards to improve data consistency and interpretability for regulators.
- Compelling Reason to Buy:
- Confident Regulatory Compliance: Ensure accurate capital calculations based on reliable, auditable data.
- Reduced Operational Risk: Minimize errors and manual interventions in data preparation for regulatory reporting.
- Improved Capital Efficiency: Potentially optimize capital allocation with more precise input data.
- Streamlined Reporting Processes: Automate data aggregation and formatting for regulatory submissions, saving time and resources.
- Your Goal: To have a seamless, automated, and reliable flow of high-quality data from various sources into analytical environments, storage systems, and downstream applications.
- Typical problems/issues:
- Internal IT teams are often overburdened or lack specialized financial data engineering skills.
- Building and maintaining complex data pipelines is time-consuming, expensive, and diverts resources from core quantitative work.
- “Chaotic approach to data management” leading to inefficiencies and data quality problems.
- Difficulty scaling pipelines to handle increasing data volumes and variety.
- Lack of skilled personnel to manage the “overwhelming array of technologies.”
- What Finaprins Does: We take on the full responsibility of designing, building, and managing your financial data pipelines as a managed service, ensuring your teams have continuous access to clean, reliable data without the operational burden.
- How Finaprins Does It:
- AI Data Pipelines (Core Offering): Our primary service for developing and managing custom data pipelines.
- Market Data Sourcing & Distribution: End-to-end management of market data ingestion and delivery.
- Trade Data Transformation: Building pipelines specific to trade data processing.
- Data Validation & Cleansing: Integrating these processes directly into the pipelines.
- TradeView Platform: Utilizing our robust infrastructure and pre-built components to accelerate pipeline development and ensure scalability.
- Technology-Agnostic Solutions: Adapting to your preferred technologies or advising on best-fit solutions.
- Compelling Reason to Buy:
- Focus on Core Business: Your quants and IT focus on strategic initiatives, not data plumbing.
- Cost-Effective Data Solutions: Benefit from our expertise and economies of scale, reducing your TCO for data infrastructure.
- Access to Expert Support: Gain dedicated data engineering expertise without hiring hassles.
- Reliable & Scalable Data Infrastructure: Ensure consistent data availability and performance, even as your needs grow.
- Automated Data Workflows: Reduce manual effort, minimize errors, and accelerate data processing.
- Your Goal: To establish and enforce policies and procedures that ensure financial data is accurate, consistent, secure, and fit for purpose across the organization, supporting decision-making and compliance.
- Typical problems/issues:
- Lack of clear data ownership and accountability.
- Inconsistent data definitions and standards across departments.
- Difficulty tracking data lineage and ensuring auditability.
- Challenges in systematically monitoring and improving data quality.
- Communication gaps between business and IT hindering effective governance implementation.
- What Finaprins Does: We provide the technical capabilities and data management services that underpin and enable effective data governance, helping you operationalize your data quality, consistency, and standardization policies.
- How Finaprins Does It:
- Continuous Data Quality Monitoring: Implementing ongoing assessments to identify and flag data issues against defined rules.
- Trade Data Standardization & Market Data Validation: Enforcing consistency and accuracy as part of our core data processing.
- Data Models Implementation (FpML, CDM): Adopting industry standards promotes common data definitions and structures.
- Unified Trade/Market Data Models: Creating centralized, standardized views of data reduces inconsistencies.
- Reporting on Data Quality: Providing metrics and insights into the state of your data.
- Compelling Reason to Buy:
- Trustworthy Data: Build confidence in data used for critical decisions, analysis, and reporting.
- Improved Regulatory Compliance: Meet data governance requirements more easily with robust processes and auditable data.
- Reduced Operational Risk: Minimize errors and inconsistencies stemming from poor data quality.
- Consistent Data Across All Platforms: Ensure all systems and departments access the same accurate information.
- High-Quality, Reliable Data: Lay the foundation for successful analytics, AI, and strategic planning.
- Your Goal: To gain a competitive edge by quickly identifying, onboarding, and leveraging new or unconventional data sources (e.g., satellite imagery, social media sentiment, geolocation, ESG data) for alpha generation or risk management.
- Typical problems/issues:
- New data sources often come in unstructured or non-standard formats, requiring significant technical effort for ingestion and processing.
- Assessing the quality, reliability, and potential value of new datasets can be challenging.
- Integrating new sources into existing data infrastructure and analytical workflows is complex and time-consuming.
- Reliance on expensive market data sources, with cheaper or more novel alternatives untapped due to integration challenges.
- What Finaprins Does: We manage the technical complexities of sourcing, validating, transforming, and integrating diverse new data sources, enabling your quantitative teams to rapidly test and deploy insights from novel information.
- How Finaprins Does It:
- Market Data Sourcing & Distribution (Extensible to Alt Data): Expertise in acquiring data from a wide variety of providers and formats.
- Market Data Validation & Transformation: Applying rigorous quality checks and converting new data into usable, standardized formats.
- AI Data Pipelines: Building custom pipelines to ingest and process new data feeds efficiently.
- Data Integration: Seamlessly incorporating new data into your existing data ecosystem or our TradeView platform.
- Technology-Agnostic Approach: Flexibility to work with various data types and delivery mechanisms.
- Compelling Reason to Buy:
- Faster Access to New Insights: Quickly leverage emerging data sources for a competitive advantage.
- Reduced Integration Burden: Outsource the technical heavy lifting of onboarding new datasets.
- Explore More Data Opportunities: Cost-effectively evaluate and integrate a wider range of data without overwhelming internal resources.
- Data Ready for AI Development: We prepare and structure even unconventional data to accelerate your AI and machine learning projects.
Let's Start a Conversation
Ready to optimize your financial data processes and drive your business forward? We’re here to help. Whether you have questions about our services, need a custom solution, or want to explore how we can support your goals, we’d love to hear from you. Get in touch with us today, and let’s unlock your data’s full potential together.
How much does it cost?
Our pricing model is designed to be transparent, flexible, and cost-effective, ensuring you get the best value for your investment. We offer a subscription-based service where you pay a predictable monthly fee, making it easy for you to forecast and manage your data management expenses.
By leveraging our service, you benefit from significant cost savings compared to building a data project from scratch on your own. Thanks to the economies of scale achieved by our shared data infrastructure serving multiple clients, we can offer competitive pricing. Many common elements across different features are reused and optimized, reducing duplication of effort and costs. This shared efficiency allows us to pass the savings on to you.
Our goal is to provide you with a high-quality, customized solution that meets your specific needs without unnecessary expenditure. The monthly fee consists of two main components: fixed part and variable part.
Fixed fee
Setup, Integration, and Shared Infrastructure
The fixed part of our pricing covers the essential foundational services required to deliver our solution effectively. This includes client acquisition and onboarding costs, where we ensure a smooth transition by understanding your needs and integrating you into our system seamlessly. We handle system integration by connecting with your input files and preparing tailored outputs that fit perfectly into your existing workflows. Additionally, the fixed fee accounts for the shared infrastructure - the minimal yet robust infrastructure necessary to run the service efficiently. By sharing this infrastructure among clients, we provide a reliable and high-performing solution while keeping your costs predictable and reasonable.
Variable fee
Usage-Based Resources and Services
The variable part of our pricing is directly tied to your actual usage, ensuring flexibility and cost-effectiveness. It encompasses expenses related to storage and computing power, which scale based on the number of records or the amount of data processed in megabytes. This means you only pay for the resources you consume. Additionally, it includes the costs of our team members who oversee and manage your processes, ensuring everything runs smoothly. If your solution requires any external licenses, those costs are also covered in this variable portion. This usage-based model allows the pricing to adjust according to your needs, providing a transparent and fair billing system that aligns with your operational demands.
Delivering Our Services: Flexible Options for You
We understand that every organization has unique needs and workflows. That’s why we offer flexible options for delivering our Data Engineering & Reporting services. Whether you prefer a fully managed service where we handle everything for you, or you want to interact directly through our TradeView WebUI or integrate via our API, you can choose the method that best fits your business requirements and technical environment. We’re committed to providing a solution that fits your needs while maintaining the highest standards of security and efficiency.
Managed Service
Delegate all aspects of data engineering and reporting to us. We handle integration and operations without unnecesary changes to your systems, freeing your team to focus on core activities.
TradeView Web UI
The WebUI presents a clean, point-and-click interface that allows business users to interact with complex data engineering processes conveniently, without requiring technical expertise
TradeView API
For custom workflows and automations on your side, our technology-agnostic API enables you to connect from any software, seamlessly integrating TradeView into your existing systems.
Building Tailored Solutions: Our Process Explained
From consultation to prototype to ongoing collaboration, here's how we tailor our service for you.
01
Initial workshop
Our journey begins with an in-depth initial workshop where we engage with your team to collect detailed information about your needs. This collaborative session allows us to gain insights into your data processes and identify areas where our services can add the most value.
Result: A report summarizing our findings, including key insights into your current processes, pain points, and opportunities for improvement.
02
Solution concept
Based on the insights gathered, we develop a tailored solution concept designed to address your specific challenges. Our team creates a strategic plan that outlines how our services will integrate with your systems, transform your data processes, and meet your objectives.
Result: A detailed solution description, typically presented in diagrams and workflow charts, illustrating how the proposed solution will function within your environment.
03
Building a prototype
Upon your approval of the solution concept, we swiftly move to build a prototype to demonstrate the practicality and effectiveness of our proposed solution. This prototype serves as a working model, allowing you to see the solution in action and provide feedback. This phase usually takes three business days.
Result: A minimum viable product (MVP) showcasing the core functionalities of the solution, enabling you to experience its potential benefits firsthand.
04
Target solution
After refining the prototype based on your feedback, we proceed to develop the full-scale, production-ready solution. Our team focuses on ensuring that the solution is robust, efficient, and seamlessly integrated into your existing systems. This development phase typically takes up to eight weeks.
Result: A fully functional, production-ready workflow that enhances your data management processes, ready for deployment in your operational environment.
05
Ongoing cooperation
We engage in ongoing cooperation to ensure that the implemented solution continues to meet your evolving needs. We deliver results on an agreed schedule, continually monitor performance, and make necessary adjustments to optimize efficiency.
Result: Continuous improvement of your data processes, leading to increased efficiency, reduced operational burdens, and better data quality within your organization.
Ask about the problem you want to solve
Most of our processes are bespoke and tailored to specific client needs. Ask about your company’s situation and we will tell you if we can help.
Let's Start a Conversation
Ready to optimize your financial data processes and drive your business forward? We’re here to help. Whether you have questions about our services, need a custom solution, or want to explore how we can support your goals, we’d love to hear from you. Get in touch with us today, and let’s unlock your data’s full potential together.
Contact us
Got data puzzles? We love a good challenge. Drop us a line, and let’s turn your data woes into wows—no magic wand required!