Leveraging IoT for Analyzing Panama Leaks
Technology Category
- Application Infrastructure & Middleware - Data Visualization
- Cybersecurity & Privacy - Endpoint Security
Applicable Industries
- Finance & Insurance
- Mining
Applicable Functions
- Procurement
Use Cases
- Time Sensitive Networking
Services
- System Integration
About The Customer
The customer in this case is AYLIEN, a data analysis company. AYLIEN is a company that is passionate about data and uses world events like the Panama Leaks to showcase their technology and solutions. They are interested in mining large data sets for interesting data points and insights. They have developed a News API that allows them to scan thousands of monitored news sources for articles related to specific topics. The API also has text analysis capabilities that allow them to identify and index key data points in those articles for further analysis.
The Challenge
The Panama Leaks, the largest leak of its kind, revealed how the world's rich and famous were moving and hiding money across the globe. The leak consisted of over 11 million documents showing how money was laundered through offshore accounts and entities. The documents implicated a wide range of individuals, from world leaders to soccer stars. However, the sheer volume of data presented a significant challenge. The documents, dating back to the 70s, included emails, contracts, transcripts, photos, and even passports. The challenge was to mine this massive data set for interesting data points such as people mentioned, organizations, locations, and topics discussed.
The Solution
AYLIEN, a data analysis company, decided to leverage their News API to mine the reports. They started by building a simple search using their News API to scan thousands of monitored news sources for articles related to the leak. They collected over 4,000 articles which were then indexed automatically using their text analysis capabilities in the News API. This allowed them to identify and index key data points in those articles for further analysis. They focused on keywords, entities, concepts, and topics. They also used the Time Series endpoint in the News API to graph the volume of stories over time, showing how the volume of stories increased as the story spread. They also used the API to extract any mentions of Entities and Concepts in the articles indexed. The main entities they focused on included; keywords, people, organizations, and countries.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Underground Mining Safety
The goal was to produce a safety system to monitor and support underground mining operations; existing systems were either too simple (i.e. phone line) or overly complex and expensive, inhibiting deployment, and providing little-to-no support in event of an accident. Given the dangerous nature of the mining work environment and the strict regulations placed on the industry, the solution would have to comply with Mine Safety and Health Administration (MSHA) regulations. Yet the product needed to allow for simple deployment to truly be a groundbreaking solution - increasing miner safety and changing daily operations for the better.
Case Study
Mining Firm Quadruples Production, with Internet of Everything
Dundee Precious Metal’s flagship mine, in Chelopech, Bulgaria, produces a gold, copper, and silver concentrate set a goal to increase production by 30%. Dundee wanted to increase production quality and output without increasing headcount and resources, improve miner safety, and minimize cost.
Case Study
Fastenal Builds the Future of Manufacturing with MachineMetrics
Fastenal's objective was to better understand their machine downtime, utilization, quality issues, and to embrace cutting-edge manufacturing technology/process improvement capabilities to bring their team to the next level. However, there was a lack of real-time data, visualization, and actionable insights made this transition impossible.
Case Study
Real-time In-vehicle Monitoring
The telematic solution provides this vital premium-adjusting information. The solution also helps detect and deter vehicle or trailer theft – as soon as a theft occurs, monitoring personnel can alert the appropriate authorities, providing an exact location.“With more and more insurance companies and major fleet operators interested in monitoring driver behaviour on the grounds of road safety, efficient logistics and costs, the market for this type of device and associated e-business services is growing rapidly within Italy and the rest of Europe,” says Franco.“The insurance companies are especially interested in the pay-per-use and pay-as-you-drive applications while other organisations employ the technology for road user charging.”“One million vehicles in Italy currently carry such devices and forecasts indicate that the European market will increase tenfold by 2014.However, for our technology to work effectively, we needed a highly reliable wireless data network to carry the information between the vehicles and monitoring stations.”
Case Study
Joy Mining Systems
Joy equipment faces many challenges. The first is machine integration and control. The business end of the machine has a rapidly-spinning cylinder with 6-inch diamond-studded cutting teeth. It chews through rock at rates measured in tens of tons per minute. The system grinds through the rock in front, creating a rectangular mine tunnel. Hydraulic lifters support the ceiling as the machine moves forward. Automated drills and screws drive 3-ft long screws into the ceiling to stabilize it. The rock and coal fall into a set of gathering "fingers" below the cutting cylinder. These fingers scoop up the rock and coal and deposit it onto a conveyor belt. The conveyor passes under the machine and out the back. A train of conveyor belt cars, up to a mile long, follows the cutter into the mine. The rock shoots along this train at over 400 feet per minute until it empties into rail cars at the end. Current systems place an operator cage next to the cutter. Choking dust (potentially explosive), the risk of collapse and the proximity of metal and rock mayhem make the operator cage a hazardous location.
Case Study
Safety First with Folksam
The competitiveness of the car insurance market is driving UBI growth as a means for insurance companies to differentiate their customer propositions as well as improving operational efficiency. An insurance model - usage-based insurance ("UBI") - offers possibilities for insurers to do more efficient market segmentation and accurate risk assessment and pricing. Insurers require an IoT solution for the purpose of data collection and performance analysis
