ADVANCED ANALYTICS  SOLUTIONS

Our advanced solutions go beyond basic reporting to include elements of AI, Machine Learning and Data Science. Below are a sample of our pre-built solutions which can jumpstart your project. We can quickly configure and adapt these solutions to meet your exact needs. professional experience

  • BioPharma Business Template – Clinical, Commercial and Supply Chain – contact us to learn more about how to accelerate core reporting and analytics across your business.
  • Quantitative Systems Pharmacology Accelerator (QSP-A) - Our QSP accelerator uses our high-performance computing platform and optimized code to scale your virtual patient clinical trial simulations.
  • Patient Finder – We adapt our innovative patient finding algorithm to your market, products and patients. The finder is used to identify patients for clinical trials and patients not yet diagnosed. We have had great success for rare disease patients, among other populations.
  • Reach out for more information on these pre-built solutions - Patient Journey, Cohort Builder, Sensors & IoT Platform, Supply Chain & Quality KPI Dashboards, Clinical Reporting across multiple CROs, and many more.

Strategy & Execution based on Agile
“Discover, Prove, and Scale” Model

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Discover

Define the business challenge and the key outcomes expected from the analytic PoC.

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Ideation

Business objectives, Industry trends -> Generate Ideas, Prioritize, Align -> Idea Repository

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POV/C

Innovation Projects involve multiple phases including Assess & Plan, Define, Explore, Test, and Prove.

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Solution & Scale

Solution implementation (production environment) and scale-up). Define the roadmap and strategy for enterprise wide adoption.

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RAPID DEVELOPMENT LAB

Our Rapid Development Lab is one of our most popular offerings. It provides flexible, variable resources to rapidly develop and deliver solutions for your business in 4 to 6 weeks.

We stand up the Lab at your site, bring technology and resources on-site, or you can use the RxDataScience Lab and team remotely.

These are some of the services included in the Lab:

  • Requirements Definition & Design – we define the business requirements and complete an initial design
    Solution Architecture – using our technology and platform, your data sources and preferred technologies, we design the solution.
  • Rapid Prototyping – develop the solution in an agile manner working side by side with your business users
  • Delivery – includes training your business users and moving solution to production if desired.
  • RxDS Key differentiators include the high customer focus and the agile/dynamic approach of the solution which has been a critical requirement to rapidly generate real-time insights.

 

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SENSORS AND STREAMING IoT ARCHITECTURE & WORKFLOW

Use Case - Combining Static Data & Streaming Data from Wearable, Connected Devices in a unified platform to perform real-time predictive analytics & prevent adverse events proactively

REAL WORLD EVIDENCE

Platform

- Limited platforms in the market place that address life sciences specific requirements e.g. LAAD and Longitudinal patient data.

- Analyzing time series based previous/next actions is not supported in the database layer, but is done programmatically, resulting in performance issues and complexity.

Client Scenario 1 - Speed, Performance, Scalability

- Weekly data loads for the current RWE & commercial data takes over 48 hours

- Additional 24 hours to complete the ingestion and transformation of 2 TB data

- Significant effort to manage the changes/addition of data sets and business rules

- System not elastic and scalable

Data

- Static OMOP conversions are used to standardize data to support reuse of analytical code. Various assumptions are hard-coded.

 

Client Scenario 2 - Data Silo

- Data from multiple RWE vendors.

- Data kept in original format in silos along with static OMOP conversions

- Utilization is heaviest from SAS against the traditional silo based data source

- Spotty OMOP utilization due to existing code investments

Custom Developed Solutions & Services

  • Supply Chain across both Biopharma & Life Sciences and cross industry manufacturing sector, present a huge opportunity where analytics can drive real and hard ROI
    Based on several analyst research reports the top 3 areas across the industry where Advanced Analytics and AI has the maximum return on investment includes Drug Discovery, Supply Chain Operations and Sales & Marketing
  • The industry is moving away from traditional linear supply chain to network model with high levels of collaboration.
  • Industry 4.0 (e.g. IoT and sensors) is providing a unique opportunity to connect and get real time insights from the execution level including manufacturing, quality and logistics
  • RxDS brings unique capabilities and service offerings on the Supply Chain Analytics based on a consultative model. Our approach combines deep Supply Chain domain experience with our assets (platform and products), that allows our clients to rapidly pilot specific use cases to assess the value, before expanding across the enterprise.
  • A Rapid Development Advanced Analytics Lab i(RDAL) has been established at the RTP. This will be leveraged to accelerate and test the feasibility of new ideas and innovation, before they are prioritized and included in the formal project pipeline

How can RxDataScience Platform & Capabilities drive value

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What Others Are Saying

“RxDataScience’s customer service focus in just fantastic.  They are incredibly responsive to requests, and, in the rare instance an issue arises, the team is very proactive about communicating resolution timelines.  I have worked in the industry for 20+ years and my experience with RxDataScience has ranked among my top data & analytics vendor experiences.”

Senior Director, Market Insight

Global Pharma Company

“The RxDataScience team brings agility, advanced capabilities and technology we simply cannot get from the other top consulting firms.”

Chief Data Officer

Top 10 Pharma

“RxDataScience has set the bar very high for other vendors to catch up.”

Head of Clinical Analytics Enablement

Top 10 Pharma Company

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