1. OUR "WHY ?"
A DATA MANAGEMENT TRANSFORMATION

- With Digitalization, Data has become one of the main “raw materials” of companies
- New opportunities, but also new constraints and responsibilities
- A new paradigm which requires an internal transformation
We created Reveals to support our customers to enhance their Data Management, to help them to answer efficiently to regulation requirements, and beyond that, to increase their performance. Both in terms of internal efficiency and of business enhancement.
2. OUR APPROACH
PROPOSE THE CAPABILITIES OF AN INTERNAL DATA OFFICE
BANKING - ASSETS MANAGEMENT - INSURANCE

- Our expertise : “data management“, between pure business expertise and classical IT.
- Our proposition : be a strong accelerator of transformation for our customers, supporting their different services with our specific know-how
- Our support :
- Consulting, for the setup of activities or the realization of projects
- Solutions, for the conception of tailor-made applications
- Service, for the support to production and maintenance (reports, models,…)
- Our profiles : data management expertise, combined with a generalist knowledge of financial institutions services.
- Our obsession : materiality principle and measurable impacts
3. OUR CORE BUSINESS
MANAGE THE THREE PILLARS OF DATA MANAGEMENT
1. STORE AND CORRECTLY STRUCTURE THE DATA
Design the right data model, driven by business needs
Define the right architecture, avoiding overkills
Setup the Data Custody activity : dictionary, lineage
Implement a Data Warehouse
2. LEVERAGE ON DATA FOR CONCRETE IMPROVEMENTS
Automate and document regulatory reports
Provide the right views and figures to the right persons for decision making
Better undertand your customers and their needs with Data Science, reducing your risk
Reduce shadow IT with "Light IT" solutions, increasing traceability
3. ENHANCE THE OVERALL DATA QUALITY
Monitor the quality and accelerate the correction process of critical data
Stay compliant with regulatory requirements : BCBS239, GDPR, ...
Setup a data governance framework adapted to your needs
4. CONCRETE CASES
EXAMPLES OF MISSIONS

- Raise the overseing of your commercial activities, using dashboarding & analytics
- Increase your customers’ knowledge and understanding, thanks to Data Science and Machine Learning : “early churn detection”, “propensity to buy”, “next best action”,…
- Enhance your customers’ segmentation, leveraging on Statistics and Clustering approach
- Better understand your customers’ feedbacks, transforming “unstructured” information (emails,..) into key words and KPI

- Design, develop and automate your AML scoring, taking into account a comprehrensive understanding of each client, and increasing its accuracy (allowing to focus attention on the “right” clients)
- Foster your KYT process, highlighting the “real” suspicious transactions, leveraging on Machine Learning approach. Decrease drastically the number of “false positive” cases

- Automate your decisions and answers to customers’ requests (e.g. credit card limit, account overdrafts), managing your risk appetence, thanks to Machine Learning
- Automate and simplify your regulatory and recurring reports, replacing time consuming and unsecured shadow IT by performant, transparent and documented processes
- Streghten your alerting process and remediation channels, using “Light IT” solutions instead of shadow IT and emails

- Setup and start a Data Science activity in a pragmatic approach. Select and handle the first cases in production.
- Setup a Data Governance implementation roadmap, aligned with BCBS239 requirements. Definition of the needed organization, key roles and processes. Definition of the timelines, priorities and milestones of this transformation journey
- Reorganization of Data Management and Business Intelligence activity, moving toward a “data driven organization”
5.OUR VALUES
Fairness ? Mandatory
At Reveals, we strongly believe on sustainable development. For us, one of its main pillar is fairness. Our willingness is extremely simple : provide real added-value to our customers, be retributed accordingly, and build progressively a sane and trust relationship
Our Core business ? Data management
At Reveals, we do Data, and we want do it right. For this reason, perhaps we will answer “no” to your request. Data area is wide enough to stay focused

Geeks ? Of Course. But not only
At Reveals, people are fancy of Python. But the best data scientists are not the mathematical experts, neither the most powerful in IT : they are the ones who are able to understand and to collaborate with businesses
A job ? A passion
At Reveals, we think we have a chance : to have job and a domain of activities extremely fun. Our people have in common a passion, Data
A mistake ? A growth opportunity
At Reveals, we strongly believe that innovation is a mindset. No success without mistake, no victory without defeat. That’s why we are not perfect, but we always try to, constantly learning from the feedbacks of our customers