When you connect data to ideas, people and business outcomes, you’ll transform your business. And that’s how FAR helps companies like yours. We align your data strategy with your business goals, and then work with your teams to adapt systems across the company to support that strategy. A data-driven transformation model helps you achieve the following:
We help you discover what matters most to your company, and then develop a data and AI strategy that drives those goals with data and systems that deliver value and help you achieve business outcomes. Our holistic and interactive approach is comprehensive, ensuring that you get best-of-breed analytics and AI that provide actionable insights.
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FAR helped an integrated clinical life science solutions provider, delivering powerful insight into clinical trial development, assuring greater client success in bringing medical therapies to market, for people around the world.
Our Data Scientists and Market Research Analyst worked closely with the strategy team at the client’s headquarters in New Jersey to develop a comprehensive customer strategy through creating and delivering the following:
A Team of FAR Data Scientists and Data Analyst partnered with one of the U.S. largest Multi-Services Organization company to offer a Home Care product for seniors
The Home Care platform solution will help caregivers stay connected to their loved ones, even from a distance. In 2020, the COVID-19 pandemic limited people’s access to the outside world, including access to the people we care about the most. However, the Home Care solution was launched in time to give caregivers access to their loved ones from a distance. Through a system of devices, network solutions, wearable devices and mobile applications, caregivers were able to monitor the health and well being of their loved ones 24/7.
The Care system gave customers:
In partnership with our client, our team provided device testing, roadmaps, customer satisfaction, data analytics about all the devices, network reports and data visualization.
Our team specifically mined, produced, managed and analyzed meaningful data from different workstreams in the Home Care Operations to successfully understand customer behavior, product engagement, and product operations.
The workstreams included Field Services, Ops Support, Customer Experience, Customer Care, Marketing, and Product Development. Our work consisted of accessing multiple sources of data from various platforms, analyzing operational performance, making recommendations and working with various stakeholders across the company to achieve the goal of improving the product’s operational performance and customer experience.
Our work allowed our clients to complete the product trial in record time and provide the necessary data and reporting to launch the service during the time when senior adults and their caregivers needed it the most.
This product gave seniors and their caregivers peace of mind, knowing they’re protected while staying at home. Our client’s subscribers, older adults, have the confidence of a life-saving connection, while caregivers have the visibility they need to monitor and support them from a distance.
Our client is a leader in B2B network services in the U.S. Their business customers rely on them for several network solutions, including Security Monitoring Services.
We partnered with the client to replace outdated technology at 12,000 specific customer locations. Through data extraction and developing reports, our team provided insights into understanding the business customer’s equipment profiles that led to taking appropriate actions. With a heavy focus on data mining, the FAR consultants were responsible for extracting data to identify and clearly communicate accounts that are targeted for equipment swap.
Our team achieved successful migration of the client’s business security services from the legacy and limited platform to the new platform. This allowed the customer to offer new and more secure services to their business clients. Our project eliminated any customer turnover due to a seamless migration aided by insight data and analytics.
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