Two main pillars
StarQube’s Data Management solution integrates a scalable centralized database and a unified referential. Its purpose is to encapsulate all the data -financial or non-financial (eg. ESG)- needed for the investment decision process as well as the investment universe (from IBORs or Custodians) and the data research universe.
-
Data Sourcing (Aggregation):
Integrate and combine all your financial and non-financial data through our pre-built connectors regardless its source (third party providers, internal databases, position keeping systems, custodians or even the web) and its format in a centralized database.
-
Data Quality:
Improve data trustworthiness by setting up as many cleansing and coherence steps to make sure your data meets all the quality checks. Data is time-stamped when imported in the database to be able to retrace its story at any time.
-
Data Customization:
Transform raw data into any proprietary indicators, whether this is a proprietary ESG methodology, an investment signal or a regulatory indicator thanks to the StarQube database’s native calculation engine.
-
Data Mastering:
Navigate between datasets easily thanks to StarQube’s data model which grants a unique identifier to each issuer and instrument across all data sets. Data is organized following an automatic mapping with all the correspondences between issuers and instruments, mother companies and its subsidiaries.
-
Data Availability:
Easily access and operate data for any business need, whether for investment, research, risk modeling or reporting purposes thanks to StarQube’s openness.
Business Outputs
Agility
whether is a regulatory requirement or a business need, any new data source can be integrated quickly, wether financial or non-financial. Also, thanks to the StarQube connectors’ granularity, whenever there is an issue at any step of the data lifecycle, it can be easily flagged and resolved.
Governance
ensure data is accurate and hosted in a centralized database and that is available and usable by the business teams securely thanks to a permission workflow.
Performance
StarQube’s NoSQL database is conceived to run financial calculations, which offers astonishing response times when running any calculation, to enrich missing datasets or create any augmented data (e.g. ESG methodologies).
Independence
Power to the users. The integration of a new data source or the addition of a new indicator can be done directly by the users of the platform, without the need of intervention of IT teams.
Time-to-market
thanks to the StarQube team’s expertise and our pre-built connectors, implementation process are smooth and short (between 3 and 4 months on average).
StarQube’s Portfolio Construction and Management modules aims to grant clients with augmented portfolio management capabilities, so they can analyze their current invested universe, but also run their investment research and instantly implement the best possible evolutions for their portfolios given their investment strategy.
-
Visualization and Analysis:
visualize portfolios with full look-through capabilities from a single cockpit while tracking all the relevant information thanks to StarQube’s customizable dashboards and widgets. Analyze portfolio positions along internally designed scores, models and strategies.
-
Backtesting:
minimize time-to-market from idea generation to implementation thanks to StarQube’s blazingly fast backtester. StarQube’s database is natively point-in-time in order to avoid common mistakes such as look ahead bias.
-
Portfolio Optimization:
Easily parametrization of a wide variety of objectives & constraints to make sure any investment idea can be integrated in the optimization workflow.
-
Portfolio Rebalancing:
rebalance portfolios individually or in mass in a matter of seconds. Rebalancing targets can be whether model portfolios, market benchmarks or even adhoc benchmarks created within StarQube.
-
Risk modeling:
Intuitive construction of variance/covariance matrices from historical returns in order to breakdown the risk of the portfolios by pre-defined factors, exposure factors and/ir PCA. Analyze portfolios from different angles combining various risk setups & methods.
Business Outputs
Instant Insights
StarQube modules rely on StarQube’s Data Fabric so data can be used and manipulated easily in order to go from raw data to valuable insights quickly.
Augmented Portfolio Management
Encapsulate the investment and the research universe in a single cockpit. Run investment research, test investment ideas and implement them instantly within the same solution limiting operational risk.
Performance
StarQube’s NoSQL database is conceived to run financial calculations, which offers astonishing response times when running any calculation, like a backtest or a portfolio optization.
Independence
Front Office teams are autonomous. Any change of the solution interface or the integration of a new indicator for analysis purposes can be done directly by the users of the platform, without the need of intervention of IT teams.
Time-to-market
thanks to the StarQube team’s expertise and our pre-build data connectors, implementation process are smooth and short (between 3 and 4 months on average).
StarQube’s Data Management solution integrates a scalable centralized database and a unified referential. Its purpose is to encapsulate all the data -financial or non-financial (eg. ESG)- needed for the investment decision process as well as the investment universe (from IBORs or Custodians) and the data research universe.
-
Data Sourcing (Aggregation):
Integrate and combine all your financial and non-financial data through our pre-built connectors regardless its source (third party providers, internal databases, position keeping systems, custodians or even the web) and its format in a centralized database.
-
Data Quality:
Improve data trustworthiness by setting up as many cleansing and coherence steps to make sure your data meets all the quality checks. Data is time-stamped when imported in the database to be able to retrace its story at any time.
-
Data Customization:
Transform raw data into any proprietary indicators, whether this is a proprietary ESG methodology, an investment signal or a regulatory indicator thanks to the StarQube database’s native calculation engine.
-
Data Mastering:
Navigate between datasets easily thanks to StarQube’s data model which grants a unique identifier to each issuer and instrument across all data sets. Data is organized following an automatic mapping with all the correspondences between issuers and instruments, mother companies and its subsidiaries.
-
Data Availability:
Easily access and operate data for any business need, whether for investment, research, risk modeling or reporting purposes thanks to StarQube’s openness.
Business Outputs
Agility
whether is a regulatory requirement or a business need, any new data source can be integrated quickly, wether financial or non-financial. Also, thanks to the StarQube connectors’ granularity, whenever there is an issue at any step of the data lifecycle, it can be easily flagged and resolved.
Governance
ensure data is accurate and hosted in a centralized database and that is available and usable by the business teams securely thanks to a permission workflow.
Performance
StarQube’s NoSQL database is conceived to run financial calculations, which offers astonishing response times when running any calculation, to enrich missing datasets or create any augmented data (e.g. ESG methodologies).
Independence
Power to the users. The integration of a new data source or the addition of a new indicator can be done directly by the users of the platform, without the need of intervention of IT teams.
Time-to-market
thanks to the StarQube team’s expertise and our pre-built connectors, implementation process are smooth and short (between 3 and 4 months on average).
StarQube’s Portfolio Construction and Management modules aims to grant clients with augmented portfolio management capabilities, so they can analyze their current invested universe, but also run their investment research and instantly implement the best possible evolutions for their portfolios given their investment strategy.
-
Visualization and Analysis:
visualize portfolios with full look-through capabilities from a single cockpit while tracking all the relevant information thanks to StarQube’s customizable dashboards and widgets. Analyze portfolio positions along internally designed scores, models and strategies.
-
Backtesting:
minimize time-to-market from idea generation to implementation thanks to StarQube’s blazingly fast backtester. StarQube’s database is natively point-in-time in order to avoid common mistakes such as look ahead bias.
-
Portfolio Optimization:
Easily parametrization of a wide variety of objectives & constraints to make sure any investment idea can be integrated in the optimization workflow.
-
Portfolio Rebalancing:
rebalance portfolios individually or in mass in a matter of seconds. Rebalancing targets can be whether model portfolios, market benchmarks or even adhoc benchmarks created within StarQube.
-
Risk modeling:
Intuitive construction of variance/covariance matrices from historical returns in order to breakdown the risk of the portfolios by pre-defined factors, exposure factors and/ir PCA. Analyze portfolios from different angles combining various risk setups & methods.
Business Outputs
Instant Insights
StarQube modules rely on StarQube’s Data Fabric so data can be used and manipulated easily in order to go from raw data to valuable insights quickly.
Augmented Portfolio Management
Encapsulate the investment and the research universe in a single cockpit. Run investment research, test investment ideas and implement them instantly within the same solution limiting operational risk.
Performance
StarQube’s NoSQL database is conceived to run financial calculations, which offers astonishing response times when running any calculation, like a backtest or a portfolio optization.
Independence
Front Office teams are autonomous. Any change of the solution interface or the integration of a new indicator for analysis purposes can be done directly by the users of the platform, without the need of intervention of IT teams.
Time-to-market
thanks to the StarQube team’s expertise and our pre-build data connectors, implementation process are smooth and short (between 3 and 4 months on average).
