Analyze alternative data

How to analyze alternative data to achieve outperformance?



  • Be able to analyze and store a large volume of data

There is today a difficulty to have a robust and flexible tool to monitor a huge amount of data from different sources

  • Be able to provide information from unusual channels

Asset managers invest only with traditional data with few and traditional sources and do not allow to differentiate oneself from the competition




“Expert in Global Predictive Analytics ”

  • Able to provide predictive data through global real-time Big Data analysis
  • Provide unstructured economic and financial data sources on more than 40 countries.
  • Help asset managers to launch portfolios that are fed solely by the analysis system and that outperform benchmarks

Find more about Quantcube here.



“Big Data and Artificial Intelligence for investment”

  • Analyze in real time a huge volume of messages and publications from more than 250,000 data sources
  • Enable to provide predictive data and build customized indicators such as feelings, emotions or ESG scores on financial assets, public and private companies, products, currencies, etc.
  • Develop investment analysis and signals to create several investment models and compares them to see which will be the most accurate.

Find more about SESAMm here.


How Aurexia can help?


PRE-PROJECT: préparation of innovative project

  • Conduct RFP process on business topics

  • Validate data to be proceed by the solution (data preparation)

  • Formalize digital ambitions & business needs

  • Detect relevant business use-cases for specific technology

  • Lead ideation workshops to define pain points and needs


DURING PROJECT: End-to-end project delivery

  • Ensure global project management with key stakeholders

  • Design business requirements and adaptive services

  • Review operating model with new solution and business

  • Define IT governance with key stakeholders on new solution deployed

  • Promote solution with an awareness plan and change management strategy


AFTER PROJECT: Monitoring project success

  • Ensure change management plan roll-out with users and management

  • Conduct data visualization project to add reporting capabilities

  • Promote the project through a dedicated communication plan

  • Formalize KPI and build project business case

  • Identify new project opportunities (same client with other departments


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