We help you create and scale your data architecture from scratch
Having the right data and having it on time is a game changing factor in businesses. Our data engineering teams have helped several banks, insurance companies build up their data architecture leveraging cutting edge cloud and on premise technologies. Our attention to performance and data quality has been pivotal in getting the implementation right from the first time.
A universal bank present in 32 countries in Asia, Europe & Africa with more than 14,000 employees and around 500 millions euros of net banking income.
Several thousand of employees operating in potentially complex areas especially foreign trade More than 30,000 various informative documents (Word, PDF, PPT, Excel, web pages) thanks to massive investment in documentation (international regulations, exchange, product sheets, etc.) Strong difficulty for employees to navigate through this knowledge base despite the investment in a search tool (Dassault Systems - Exalead)
Design and implement a powerful efficient search engine covering the bank's large document and knowledge base.
Search engine has to provide good results whatever the formulation of the research or at least give great flexibility on the formulation.
It also must provide comfort in research and allowing easy access to the information the user is seeking
Fully agile methodology project with mixed team : Theodo & bank.
Tool similar to an internal "Google" and consists of 2 complementary modules :
Interpretation of the object of research by a Theodo proprietary semantic graph rich in financial vocabulary developed by indexing several banking and financial institutions public material
Collecting implicit user feedback to improve the relevance of the results (including associated searches, etc.)
Flexible and efficient search engine made available in production to thousands of employees.
Search engine implemented proved to be far superior than the pre existing search engine (Exalead) on a sample of more than 50 critical search use cases.
Far better user experience
- User can preview and navigate answer before downloading any documents
- Relevant answer highlighted to facilitate reading
A multinational insurance player with more than 930 employees & more than 580 millions USD turnover.
The insurance and reinsurance company is the parent company and has equity interests in a multitude of activities Tedious consolidation work and time-consuming for the accounting department (several days) Identification of 2 high impact use cases with immediate value
Implement 2 RPA use cases to free up time for accounting agents and optimize processing times :
- Automation and synthesis of raw supply and unpaid invoices data stemming from +50 excel sources Consolidation of accounting data by subsidiary / participation given these subsidiaries / participations have different approximative names in different sources (fuzzy matching necessary)
Project with mixed team : Deployment of the Theodo team and Workshops & design sprints with accounting department
Thanks to the RPA deployed in production, processing time by the accounting agents came down from 10-15 man-days per quarter to 0 (algorithm takes 15min to execute without any manual intervention).
We did this in 6 weeks of intervention
