Your data science service provider should understand your industry.
You can trust us with your data service with the below industries
Your data science service provider should understand your industry.
You can trust us with your data service with the below industries
Telecommunications & Internet
Nearly two-fifths of the world’s total spending on smart data and cloud technology comes from the telecommunications sector.
Whether it’s unusual traffic on networks needing to trigger immediate alerts not to impact customer experience, or Call Detail Record (CDR) measurements in real time helping you control call delays and maintain call quality, or spatial analytics and spatial statistics for setting up 5G networks, Tripathon Data Science is here to serve the telecommunications sector in a variety of different ways.
Banking & Finance
Tripathon Data Science provides a wide range of services in the Banking & Finance industry.
The data banks handle varies from purchases at point-of-sales, to payments done online, from withdrawals at ATMs to customer profile data, and a lot more. Using this data to gain a competitive advantage and to better understand their clients is of critical importance. Data can be used to generate cross-selling opportunities, to analyze history of client requesting a loan, to improve liquidity and risk management. It can be used in analyzing ROI trends, recommending specific bonds for investors, and automatic purchasing or selling at specific market triggers.
Manufacturing
Big data is used frequently in today’s manufacturing sector.
Supply chains rely on real time data, and production risks are evaluated on the spot. It is also used in speeding up production output, running simulations, using robotics in production chains, triggering alarms in case of hazards, and product quality management.
Our promise is a promise.
words we work by, words we live by
Energy & Utilities Sector
Predicting demand & consumption trends based on data feedback from meters,
transforming the raw feed from the data pipeline to customer billing, or whether the utilities infrastructure (connectivity, sensors, etc. etc.) all becoming smart, data management has become at the very heart of both the public and private energy and utilities sector. Things have advanced so fast in this field that AI is used in dynamic energy management, outage prevention, and even modelling for failure possibility.
Insurance
The insurance industry today is one of the sectors most in need of the Big Data sector.
In the earlier years, data was always used to price risk. However in the modern era, their have been rapid developments in this sphere. For example car insurance today uses individual driver behavior data to determine how to price a policy for a specific individual, and health insurance companies are using data generated by a device worn by the patient regarding their health status and developments.
Automotive Industry
In the automotive industry data analysis is used to predict maintenance failures, in fleet management, in sales and inventory priorities, in new markets competition, and much more.
Furthermore, the most cutting edge data scientists are using the newest technologies and most advanced software to develop self-driving cars, robotic manufacturing, traffic control, and even in warning the driver about coming dangers in the road ahead.
Healthcare & Pharmaceutical
Hospitals and medical centers are often facing a shortage or an abundance of staff.
Patient electronic health records need to store demographic information about patients, their medical history, and test results in order to trigger a warning or a reminder for the patient. Predictions need to be made about who is most at risk of cancer, diabetes, or Covid. Efficient supply chain management for the pharmaceutical industry is critical for stability and for the health of the general public. Hospital bed occupancy and hospital parking statistics need to be monitored to control overflow of visitors. Telemedicine is constantly pushing diagnostic information to patients using apps. These are just a few examples of how Tripathon Data Science can support the different players in the health care sector.
Media Industry
Monitoring demographic data of viewers and listeners, running surveys on control audiences to see viewer feedback, cinema box office forecasts are some of the more traditional ways that Big Data has been crucial in the media industry.
However in the last few years, more sophisticated techniques are emerging. “Robot reporters” are speeding up production processes, Artificial Intelligence is used by news centers in monitoring of trends and of breaking news from social media, and AI is also connecting with virtual reality in the movie production and television industry, and even artificial voice can be created to cover for actor errors to avoid redoing the shooting once again.
Retail
In supermarkets today, cameras monitor the products that people are looking at and how many people are in a shop, how long people are waiting in line and their movement patterns – all linked to a cloud server –
and the data is then analyzed to make all types of decisions about the client experience. Shopping habits are analyzed, smart pricing strategies are created, and strategic decisions like product merchandising, discounts, and product display are all using one form of data management or another. Indeed, multiple studies have shown that profit margins can increase by 60% with the retailers introducing big data analytics.
Education
Universities today can better target prospective students based on collected data,
teachers can assess their performance based on student feedback, AI is used in connecting campus buildings to computer systems, and student assessment and curriculum development is possible because of data collection. School and university management decisions are more efficient because of resource optimization, and at-risk learners are identified.
Telecommunications & Internet
Nearly two-fifths of the world’s total spending on smart data and cloud technology comes from the telecommunications sector.
Whether it’s unusual traffic on networks needing to trigger immediate alerts not to impact customer experience, or Call Detail Record (CDR) measurements in real time helping you control call delays and maintain call quality, or spatial analytics and spatial statistics for setting up 5G networks, Tripathon Data Science is here to serve the telecommunications sector in a variety of different ways.
Banking & Finance
Tripathon Data Science provides a wide range of services in the Banking & Finance industry.
The data banks handle varies from purchases at point-of-sales, to payments done online, from withdrawals at ATMs to customer profile data, and a lot more. Using this data to gain a competitive advantage and to better understand their clients is of critical importance. Data can be used to generate cross-selling opportunities, to analyze history of client requesting a loan, to improve liquidity and risk management. It can be used in analyzing ROI trends, recommending specific bonds for investors, and automatic purchasing or selling at specific market triggers.
Manufacturing
Big data is used frequently in today’s manufacturing sector.
Supply chains rely on real time data, and production risks are evaluated on the spot. It is also used in speeding up production output, running simulations, using robotics in production chains, triggering alarms in case of hazards, and product quality management.
Our promise is a promise.
words we work by, words we live by
Our promise is a promise.
words we work by, words we live by
Energy & Utilities Sector
Predicting demand & consumption trends based on data feedback from meters,
transforming the raw feed from the data pipeline to customer billing, or whether the utilities infrastructure (connectivity, sensors, etc. etc.) all becoming smart, data management has become at the very heart of both the public and private energy and utilities sector. Things have advanced so fast in this field that AI is used in dynamic energy management, outage prevention, and even modelling for failure possibility.
Insurance
The insurance industry today is one of the sectors most in need of the Big Data sector.
In the earlier years, data was always used to price risk. However in the modern era, their have been rapid developments in this sphere. For example car insurance today uses individual driver behavior data to determine how to price a policy for a specific individual, and health insurance companies are using data generated by a device worn by the patient regarding their health status and developments.
Automotive Industry
In the automotive industry data analysis is used to predict maintenance failures, in fleet management, in sales and inventory priorities, in new markets competition, and much more.
Furthermore, the most cutting edge data scientists are using the newest technologies and most advanced software to develop self-driving cars, robotic manufacturing, traffic control, and even in warning the driver about coming dangers in the road ahead.
Healthcare & Pharmaceutical
Hospitals and medical centers are often facing a shortage or an abundance of staff.
Patient electronic health records need to store demographic information about patients, their medical history, and test results in order to trigger a warning or a reminder for the patient. Predictions need to be made about who is most at risk of cancer, diabetes, or Covid. Efficient supply chain management for the pharmaceutical industry is critical for stability and for the health of the general public. Hospital bed occupancy and hospital parking statistics need to be monitored to control overflow of visitors. Telemedicine is constantly pushing diagnostic information to patients using apps. These are just a few examples of how Tripathon Data Science can support the different players in the health care sector.
Media Industry
Monitoring demographic data of viewers and listeners, running surveys on control audiences to see viewer feedback, cinema box office forecasts are some of the more traditional ways that Big Data has been crucial in the media industry.
However in the last few years, more sophisticated techniques are emerging. “Robot reporters” are speeding up production processes, Artificial Intelligence is used by news centers in monitoring of trends and of breaking news from social media, and AI is also connecting with virtual reality in the movie production and television industry, and even artificial voice can be created to cover for actor errors to avoid redoing the shooting once again.
Retail
In supermarkets today, cameras monitor the products that people are looking at and how many people are in a shop, how long people are waiting in line and their movement patterns – all linked to a cloud server –
and the data is then analyzed to make all types of decisions about the client experience. Shopping habits are analyzed, smart pricing strategies are created, and strategic decisions like product merchandising, discounts, and product display are all using one form of data management or another. Indeed, multiple studies have shown that profit margins can increase by 60% with the retailers introducing big data analytics.
Education
Universities today can better target prospective students based on collected data,
teachers can assess their performance based on student feedback, AI is used in connecting campus buildings to computer systems, and student assessment and curriculum development is possible because of data collection. School and university management decisions are more efficient because of resource optimization, and at-risk learners are identified.
Get a personal consultation.
Contact
data@tripathon.com
data.tripathon.com
tripathon.com
Get a personal consultation.
Contact
data@tripathon.com
data.tripathon.com
tripathon.com