Data performance

What is Data Performance?

Holistically, Data Performance is defined by 3 components:
the effectiveness of the use of data with regard to business objectives, combined with the efficiency of processes based on costs and the relevance of the mobilization of resources: Human, Trusted Artificial Intelligence. The concrete challenge of “Data Performance” is the improvement of performance thanks to
data

Data Performance involves the dissemination of data culture, the pillars of which are: the integration of data from different sources, the analysis and exploitation of data.

According to a recent study, the global volume of data will almost quadruple between 2019 and 2025 and will reach 175 zettabytes. And yet, in 2023, too many Data projects are still failing to improve the performance of their companies.

To resolve this problem, Clémence Consulting practices a disruptive approach based on its business and functional expertise in the Customer, Finance and Operations areas. How ?

  • En commençant par la compréhension des enjeux, la connaissance des pratiques des métiers et l’expertise fonctionnelle des domaines concernés
  • By industrializing information reconciliation and sharing real-time analyzes regardless of the volume (big data), we simplify access to information.
  • By creating a repository to share a vision (360° customer vision, foundation repository of process digitization) we make the data speak.
  • By providing analysis, predictions and models, via the rapid implementation of Proof Of Concept web, we help to understand, act and benefit from experimentation

Because the IS do not always provide answers to the trades and require many manual and local reprocessings and because often there is no common reference system... for example on the customer: we are there.

Our expertise

Nos expertises fonctionnelle avec une double compétence métier et SI (par exemple : “Marketing digital + CRM” ou “Finance +ERP” nous permettent d’intervenir en Front office à vos cotés, pour comprendre votre contexte, rendre vos données performantes et intégrer des opportunités d’amélioration métiers au projet GDPR.

We also offer in the Back Office: a team combining Data scientists and IT specialists who deliver a reconciliation, analysis, data interfacing and Artificial Intelligence service via a cloud platform (OVH, Amazon, Google or Azure).

Our approach

  • 1

FRONT OFFICE & BACK OFFICE

Through the dual intervention of a functional Front office and a technological Back office dedicated to data processing.

By applying its credo “Think simple, rustic, pragmatic” through three steps:

  • Analyze and model
  • Realize (proof of concept) in “time to market”
  • Enrich iteratively
  • 2

EXPERIENCE

Based on its experience, particularly in the following areas:

  • Marketing: campaign management, customer knowledge (individuals and companies) and digital marketing
  • Finance: credit management (risk, receivables financing, insurance coverage), accounting
  • Customer repositories: consistency of repositories, merger and acquisition