Public sector

The Public Sector impacted by Big Data technologies: security, political watch, road traffic management

Public organizations (Administration, territorial entities...) daily deal large volumes of unstructured data, requiring Big Data expertise in order to improve public services, by controlling costs and operational performance.

What are the Big Data needs in the Public Sector?

• The transport sector measures in real time thousands of data sensors such as urban traffic, parking, pollution of air ...
• The energy sector captures large amounts of data such as water consumption, electricity, temperature ...
• The education daily process hundreds of data on school results, number of students, teachers ...
• The tourism sector analyzes travelers attendance data, price trends...
•  The safety sector measures annual data on the number of incidents by region, by country, and the cause of the problems ...

By collecting and analyzing these thousands of data, our Big Data experts help public organizations to identify problems, improve the quality of their services, and focus on priority investment.

Marketing

Big Data is often associated with marketing data

Big Data technologies can be leveraged to analyze very large amounts of customer data from multiple sources, such as:

• e-Commerce and Digital Marketing
• Advertising
• Social networks: For example, Twitter generated, in January 2013, 7 terabytes of data every day, and Facebook 10 terabytes (Wikipedia source).
• Search engines
• Data producers

Our Big Data solutions allow our customers to address several marketing issues, for example:

• Call centers effectiveness: our Big Data experts help our customers to anticipate customer issues and to exceed their expectations in order to increase products and services sales.
  
  
• Product and services customization: our Big Data solutions help our customers to define different customer segments, taking into account such information as their preferences, their visits on their website, etc.  Personalized product and services offerings as well as highly targeted advertising can be established on the basis of that information.
  
  
• Customer retention: our Big Data solutions help our customers retain their customers by closely monitoring their activities across the different channels, in order to identify signs of a loss of interest or discontentment, for example a client that has not visited a website for a given period of time, or has liked the product of a competitor on a social network, etc.

Insurance

Big Data technologies help insurance companies in such areas as risk analysis, fraud prevention, targeting ...

Big Data: a new weapon against fraud

Thanks to Big Data technologies, insurance companies can now easily and reliably detect suspicious claims.  "Bad risks" can also be identified much more reliably by leveraging computer storage and open data such as information available on social networks.

Big Data: customization and control tool in health insurance and car insurance

Data collection allows insurance companies to know their customers better in order to provide them with personalized product and services offerings.

Innovative approaches such as devices that can be installed allow insurance companies to analyze the way their customers drive.  For health insurance, Big Data can allow to verify if a customer who has announced to have quit smoking actually has done so.

Finance

We can help you leverage Big Data solutions in several areas of the financial services sector

Wealth management Risk management Fraud management Personalized investment advice

Big Data for Trading

Highly efficient trading algorithms can be developed by leveraging large amounts of data from multiple data sources in real time.  Our Big Data experts can assist you in the analysis, development and roll-out of such algorithms.

Big Data for Risk Management

In a continuously changing environment, financial services organization constantly need to define new rules for identifying and mitigating risk.  Risks include: uncertain financial markets, susceptibility to legal liabilities, competitive risk of losing customers, impact of natural disasters, liquidity risk, interest rate risk, operational risk, etc.

Our Big Data solutions help you to gather, analyze and get an overview of the risk data in real time, resulting in better management of risks.

Big Data for Fraud Management

Predictive analysis tools are used to build models to detect and prevent fraud.

Our Big Data solutions can assist you in analyzing the correlation of data from multiple sources, such as location information, buying habits, transaction historical data and other sources to detect credit card fraud.

Big Data for Commodity Trading

Our Big Data solutions help the Commodity Trading to generate better returns.

A trader who works on prices of wheat can now get direct feeds from the farms in real-time, using sensors deployed in the farms that provide information instantly about crop yields, crop type, timing for harvest, etc. and generate better returns.

Big Data for personalized investment advice

Our Big Data solutions can provide customers with automated investment advice, based on Big Data algorithms that can even replace advisers.