Data Fitness, Data Lineage, and Data Security
The foundation of innovation lies in gaining insights and approaching challenges from fresh perspectives. We offer our clients exceptional opportunities to proactively tackle change, make meaningful impacts, and turn their data into meaningful insights.
Our team of consultants begins by conducting an in-depth analysis of the company's data analytics infrastructure and identifying areas for improvement. We then work with the company to establish key performance indicators (KPIs) that will help them measure the success of their analytics efforts.
Next, we develop a customized data analytics strategy that leverages cutting-edge technology and methodologies to address the company's specific needs.
Throughout the process, we prioritize clear communication and collaboration with the client to ensure they are fully engaged and informed. With our 360-degree data analytics consulting service in action, we help our clients equipped with the tools and knowledge they need to turn their data into valuable assets.
At FutureOptions, our AI and Analytics services fuse comprehensive ML solutions with industry and domain expertise to enable seamless human-machine collaboration.
Our team of experienced cloud engineers and architects works with clients to identify opportunities to optimize their cloud infrastructure, reduce costs, and improve performance.
Industry: Healthcare & Life Sciences
Solution: Subject Retention
Platform Use Case: Lakehouse, Delta Lake, Machine Learning
Cloud: AWS
"Before partnering with Connect-360 from Future Options, we were struggling with suboptimal utilization of our internal clinical site space, which was affecting our revenue and ability to serve subjects efficiently.
With the help of Connect-360, we were able to create a data-driven solution that transformed our operations. One of the key benefits of Connect-360 was the analytical interface it provided, which allowed us to visualize our site collection pods and calculate occupancy based on various factors such as appointment time, required space, support staff, and workstations.
This allowed us to optimize our space utilization and increase revenue by $189 thousand in just six months, with 620 additional appointments. In addition, Connect-360 helped us optimize our scheduling and appointment process by implementing a centralized intake team, an online scheduling tool, and an allocation template for scheduling time in four-hour blocks. This resulted in an annual revenue increase of $8.3 million and 53 thousand appointments, with 30 thousand online schedules and a 39 percent patient satisfaction rate growth.
Overall, Connect-360 has been instrumental in our success, and we highly recommend their services to any organization looking to optimize their operations and increase revenue".
CEO - Greg Ingle, Evolution RX
Industry: Banking
Solution: Propensity Scoring Model
Platform: Hadoop, Apache Spark, Python, EMR
Cloud: AWS
To achieve the business objectives of enhancing the conversion rate of consumer loan products, generating precise prediction scores for the customer base, and assessing the added business value for different client segments, an end-to-end solution was proposed and executed.
Challenge:
The task at hand required processing a large amount of unstructured data, involving tens of millions of transactional records and hundreds of millions of links across the client network. The challenge demanded sophisticated technical solutions as conventional statistical methods, such as regression and segmentation, and relational databases were not sufficient.
Solution:
The proposed solution was a unique propensity-to-buy model, which leveraged advanced machine learning methods to model client behavior and social similarity networks. Through this approach, we were able to identify client microsegments and develop accurate predictions for the customer base.
"Congratulations to Future Options Consultancy delivery team for successfully addressing the business needs of Barclays Bank by providing an innovative solution to improve conversion rates, generate accurate prediction scores, and evaluate added business value for different client segments.
Your team's ability to recognize the challenge of processing a huge volume of unstructured data and the limitations of conventional statistical methods is commendable.
Your team's technical expertise, innovative thinking, and ability to execute complex computations are impressive and invaluable to your clients. Congratulations on your success!"
Maddy Narahari - Data Architect
Industry: Finance
Solution: Fraud Detection
Platform: Databricks, Apache Spark, SQL
Cloud: AZURE
The collaboration between Future Options and ezTrialPay to implement a new approach to fraud prevention using big data analytics and machine learning is an excellent example of how technology can help businesses tackle complex problems. By leveraging Databricks, Apache Spark, and SQL on the Azure cloud, Future Options was able to design, build, and implement a comprehensive fraud prevention blueprint that helped ezTrialPay detect and prevent fraud in real-time.
One of the key advantages of this approach was the ability to build identity graphs and contextual views of each transaction. This allowed ezTrialPay to gain a better understanding of their users' behavior and identify suspicious patterns that could indicate fraud. By leveraging machine learning algorithms, the platform was able to detect fraud in real-time and intervene before any damage was done.
Another significant benefit of this approach was the scalability of the solution. By using cloud-based technology, Future Options was able to build a platform that could handle a large volume of transactions and scale up or down as needed. This ensured that ezTrialPay could continue to grow its business while maintaining its fraud prevention efforts.
The success story of ezTrialPay and Future Options demonstrates the power of big data analytics and machine learning in fraud prevention. By using these technologies, businesses can build more effective fraud prevention systems that are scalable, efficient, and able to act in real-time to prevent losses.
Industry: Life Sciences
Solution: Bio-Banking
Platform: ChatGPT, dbt, Snowflake, Sisense
Cloud: AWS
One of our Biotech client is a leading research organization conducting a large-scale clinical trial focused on diabetes treatment. The trial involves collecting and analyzing various biological samples from participants to gain insights into disease progression and treatment efficacy. To ensure efficient sample tracking and management, our Biotech reached out to us and we help them implement a state-of-the-art biobanking/sample inventory management system.
Challenge:
Client faced numerous challenges in managing the vast amount of samples collected during the diabetes clinical trial. These challenges included:
Solution:
Our solution included the following key components:
Sample Tracking and Management:
Inventory Management and Storage Optimization:
Data Accessibility and Analytics:
Compliance and Security:
Results and Benefits:
Enhanced Sample Tracking and Management:
Improved Efficiency and Cost Savings:
Accelerated Data Analysis and Reporting:
Regulatory Compliance and Data Security:
Conclusion:
Through the successful implementation of the biobanking/sample inventory management system, Future Options empowered help leading Biotech client to streamline sample management, improve research efficiency, and accelerate the analysis of diabetic clinical trial data. The partnership between Biotech and Future Options exemplifies how leveraging cutting-edge technology can revolutionize clinical research, leading to breakthroughs in disease understanding and treatment advancements.
Future Options
655 Metro Place S, STE 600, Dublin, Ohio 43017, United States
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