Gain more precise insights into your data and harness powerful decision-making capabilities to transform them into actionable insights and share them across all levels of the organization using Business Intelligence (BI).
Give your business real autonomy and independence in constructing their analyses. (#selfbi)
Promote a new culture of collaborative and cross-functional steering that goes beyond data
Your IT challenges regarding Business Intelligence
- Listening to business needs
- Conducting the transformation in an Agile manner
- Not destabilizing the existing infrastructure
- Benefiting from scalable and flexible systems
- Managing and analyzing large volumes of data
- Being compliant with IT department processes
- Reacting in real-time
- Exploring data in an ergonomic format (dashboards)
- Having easy access to all types of data
- Having a collaborative orientation (connecting people, sharing their assumptions, synchronizing their actions)
- Ensuring the freshness and quality of data
- Controlling decision-making costs
Our offerings in business intelligence
Data exploration. What is the actual activity? Which study axes should be prioritized?
Activity monitoring. What is the historical data? What are the trends?
Fraud detection. What volume is concerned? What countermeasures should be anticipated?
Performance indicators. Where are we heading? At what deadline?
Marketing reports. How to adapt campaigns? What results have been obtained?
Real-time monitoring. Should one react immediately to an alert?
Real-time personalization. What interface is suitable for each user?
Perpetual study of past events. What conclusions can be drawn from historical/recent activity?
Profile identification through segmentation. What are the interests of this profile? Which audience should be prioritized for my business?
Development of predictive models. What is the likelihood of purchase? (e-commerce) of accidents? (insurance) of litigation? (bank)
Our missions in Business Intelligence
Audit of client needs: understanding concerns and objectives
Etat des lieux des données disponibles : mapping, quality assessment, and reliability
Préparation et structuration des données : choix du stockage, modélisation, performance
Data exploration: implementation of analysis algorithms and valorization (by data scientists)
Dissemination of results
Industrialization: implementation of operational architecture, training for autonomous use of the solution
The organization's vision - a compromise between users and IT
The compromise focuses on user agility and IT control
The solution vision - business requirements
Usability –> les tableaux de bord respectent les principes d’utilisabilité
- Information limited to the essentials
- Readable and understandable presentation for all users
- Ease of use
- Efficiency of use
Accessibility –> Multichannel
- Integration into the company portal
- Integration of widgets into management applications
- Diversification of terminals: desktop, mobile, tablets
- Massive distribution in various formats (Excel, PDF...)
- Email alerts
Performance –> serving the user
- Optimization of feed queries
- Continuous questioning of the data model
- Compliance with tuning recommendations on the DBMS side, indexing of tables, ...
Attractiveness –> vectors for better information circulation
- Impeccable data quality (relevance, reliability, freshness, ...)
- Intuitive use (direct access to desired data, navigation capabilities, drilling...)
- A polished design (choice of colors, use of images stronger than words)
- Always choosing a diagram that is suitable for the represented information
- A constant struggle against information redundancy on the screen
The solution vision - performance
BI SOLUTIONS must be FAST, FLEXIBLE, EFFICIENT, AND COST-EFFECTIVE
Despite the increase in data and complexity, Business Intelligence solutions must be simpler, provide immediate answers, and address new business questions everywhere.
Lean approach
- Executing projects in several weeks instead of several months and with minimal investments (reducing Time to Market)
- Staying flexible with changes
- Focusing on needs that potentially yield gains
- Develop data management with solutions based on lightweight, flexible… intuitive architectures, easily integrated into existing IS (full web), communicative,… with or without Big Data