Data Science for Informed Decisions
USE CASES
Next Gen Analytics and Consulting
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Location Based Customer Segmentation
Mission: Create or improve customer segmentation based on Usage & Location Data
- Location & Usage based pattern for prepaid markets
- Real time customer segmentation for mature market
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Complex Fraud Management
Mission: Data Discovery Approach to identify Fraud Pattern
- Non-Coherent account (IMSI and MSISDN for the same account, from different countries,…)
- Modified IMEI (stolen devices, jailbreak, rooted devices,...)
- Tracking of stolen devices (location, user)
- Unauthorized usages (M2M with regular subscription and vice versa)
- Retail Network Fraud detection
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Advanced Network Planning
Mission: Improve Network Planning for Hetnets, Small Cells, LTE advanced and future 4G/5G features
- Next Gen Network Roll out and Capacity Planning
- Network Porosity
- 4G deployment and eligible customer alerting
- Matchmaking between handset capabilities/presence and network coverage (3G, Dual Carrier, 4G)
- Large Events coverage management
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Mobile Malware Detection
Mission: Detect & Identify Malware downloaded by Mobile Users
- Real time malware download or usage on Mobile Networks
- Malware Reverse Engineering
DATA FOR DEVELOPMENT
Our Analytics supports mobile operators, tech providers and development agencies in leveraging data
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Social Media Analytics
Sentiment analytics and influencers’ mapping based on social media
- Deep dive into social media usage
- Mapping of trends and influence
- Natural Language Processing (NLP) from Tweets & Facebook pages in Arabic
- Sentiment analysis
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Water Sanitation (NextDrop, India for the GSMA)
Customer Analytics applied to water sanitation
- Support to a service notifying customers of fresh supply of water (date and time) in Bangalore area
- Assessment of water distribution systems
- Customer Journey analytics
- Evaluation of the service
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Digital Inclusion in Africa
Reaching the last mile: targeting areas with no connectivity in sub-Saharan Africa
- Identification of underserved areas with no or little access to connectivity (less than 1 Mbps)
- Focus on public services such as hospitals or schools
- Development of geo-marketing tools based on QGIS to pinpoint target segments of beneficiaries or areas by type
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m-Health (HNI, for the GSMA)
Analytic assessment of mobile insurance product targeting farmers
- Support to a free on-demand information resource accessible using simple mobile phones
- Customer journey analytics leveraging data points from 3 million users
- Sankey data visualization to identify areas for improvement
- Evaluation of the service
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m-Insurance (the One Acre Fund, for the GSMA)
Analytic assessment of mobile insurance product targeting farmers
- Support to the development and offering of affordable index-based and indemnity-based micro insurance products
- Customer Journey analytics
- Review of the business model
- Evaluation of the service
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Detection of Rural Markets using CDR data
Mapping of Rural Markets (and definition of catchment areas)
- Data-driven method to detect & describe periodic gatherings (rural markets, sports events,...) in the target areas
- Leverage this information to design a strategy for service providers to reach out more effectively to rural customers
- Project successfully implemented in one country of East Africa
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Mapping of human gatherings without mobile connectivity
Analysis of satellite imagery, population distribution maps and connectivity data to map untapped demand
- Connectivity Gap Analysis through mapping of potential demand for connectivity (based on population distribution, human settlements, literacy ratios, HDI index,...) combined with existing connectivity supply (2G, 3G, Wi-Fi, FTTH)
- Prioritization of areas most promising to cover from an economic perspective
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Quantifying destruction in areas liberated from Islamic State using SAR data
Synthetic-Aperture Radar (SAR) Data Analysis to localize and quantify destruction
- Use of the Sentinel-1 Synthetic Aperture Radar (SAR) data made available by the European Space Agency to identify "incoherence" in radar response
- To enrich the understanding of those incoherent patterns and bring contextual background other sources are used: traditional satellite imagery, VIIRS data, social networks, news media, field research, secondary research, etc
- This allows us not to only to localize damaged/preserved areas, but also to quantify the level of destruction, and – if need be – specify the timing of the destruction
INDUSTRY CHALLENGES
Every single industry should benefit from aggregated and anonymous data
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Transport Services
Mission: Public Transportation Optimization & Infrastruture Planning
- Real time trafic management
- Multimodal transportation and users pattern analytics Calibration/planning of transport infrastructure
- Infrastructure Optimization
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Public Sector/Tourism
Mission: Tourists visits/pattern in specific point of interest
- Heat Maps of population
- Predictive data on electricity consumption Density & population flows during large events
- Touristic flow analysis
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Retail
Mission: Catchment Area Study
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Media Planning
- Location based advertising and marketing campaign
- Feasibility study (optimal location for new stores)
- Competitive analysis
- Shopping Patterns
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Emergency Management/Gov.
Mission: Proof of concept for a Telco
- Emergency Platform for Gov.
- Real time reporting on Crisis Impact
- Multi-channels Alerting
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Financial Services/Mobile Money
Mission: Dynamic MFS Users and Agent segmentation
- Mobile money agents dynamic geomarketing
- Catchment area for mobile money use cases (Cash in/out, In store Payment,…)
- Customer segmentation for Mobile Financial Services
- Customer & Transactions scoring and Fraud Management based on Location Data
- Customer Journey in mobile money
- Churn Prediction of mobile money users
- Product Adoption Propensity of mobile money users
Want to know more about our Visualization & Geo Analytics solution?