Data management and meta-data management
At Team Arrayo we define and document data organization to enable better data lineage, allowing scientists to appropriately answer to sponsors, work collaboratively across partnerships, and tear down the silos inhibiting the progress of many pharmaceutical companies. We accelerate scientific research by enabling data consolidation, management and unification.
Complexity is Everywhere
Understanding and creating a proactive data strategy is critical to the success of Life Science and Healthcare companies. Our clients require robust approaches and innovative tools that allow anyone authorized to find the well-characterized data they need. Extracting information from extensive data sources and using it to predict trends and patterns, requires the implementation of successful data initiatives.
Pharma companies historically do a great job collecting data for a specific purpose, however; they often struggle utilizing the collective knowledge of all their data assets. Arrayo builds solutions and strategies following the FAIR (findable, accessible, interoperable, and reusable) principles of data handling. This in turn minimizes the overhead and latency of gathering data and fitting it to schemas that can be interpreted by computers to perform use case specific studies. Coupling the fore mentioned with metadata interconnectivity scientists can perform queries across multiple datasets and retrieve data they need.
Overall, Arrayo facilitates organizations to operationalize their data management platform and get the most value out of their data assets. We have the subject matter expertise and project management capabilities to help leverage the chosen technology solutions. We deploy data catalog solutions and work on the adoption of Analytics Platforms by the business lines and optimize its utilization as well as data consumption.
The ability to search for relevant data with data catalogs proves to be beneficial in the efficiently finding trustworthy data for different stakeholder groups. While there are many technologies that are related to data catalog there are challenges to overcome in order to optimize the usage of a catalog. Automation of metadata capture with the use of Crowdsourcing as a control mechanism ensure that there are minimal bottlenecks in the process of building up your Data Catalog. Crowdsourcing comes with organization cultural change whereby sharing knowledge and experience of the data is the norm. Substantial portions of the metadata capture and catalog population can be performed by some catalog solutions: Machine learning-based business term tagging, Data profiling, Data quality monitoring, Reference data detection, Data Lineage, Anomaly detection, Detecting changes in metadata, Relationship discovery.
Building Data Commons
A great example of what our team excels at is working on data flow and applications for a personalized cancer vaccine. We build applications to support scientific researchers at the forefront of scientific discovery.
We lead the creation of structured data marts fit for specific business, scientific or clinical use cases. Our process-oriented data management strategy ensures standardized metadata models, structured data storage and efficient retrieval.
Many departments in corporations evolve in their own segmented environments and have little compatibility between them. The applications are not yet decoupled from the data and while many of the data models can be reused, they’re recreated without FAIR principles of data management. Arrayo creates solutions decoupling data from applications. We create superior data persistence and enhance abstraction and meaning of data. This effectively accelerates the adoption of efficient cloud deployments both hosting data with computational analytic pipelines and ever-increasing throughput.
Democratizing and simplifying the availability and storage of internal datasets is a high priority for Arrayo clients. We have significant experience in the delivery of a data persistence layer that make it possible to create data-lakes and further extend the democratization of data within companies ranging from small biotech startups to large, enterprise level big-pharma. When possible, we make sure data is open within the constraints of an access policy instead of restricting access with permissions.
Computationally managed metadata can support internal applications and integrates well with external solutions. Streamlining data ingestion, exchange, and persistence into models allows for fluid transition to moving from disparate sources to well curated, machine interpretable systems. Adopting data exchange in uniform formats that are widely adopted can streamline collaboration with partners and other external organizations.
Patient Data Solutions
Applying innovation and technology to connect researchers, patients, providers, and payers to deliver personalized medicine & healthcare at a lower cost.
Team Arrayo works with clients to improve patient engagement and experience through facilitating collection of patient data, patient reported outcomes and other real-world data. Leading to better health, wellness and more personalized care. We work on the other side of the spectrum with scientists to break down data silos and democratize data across organizations. Leveraging the power of digital solutions, we can reduce medicines & diagnostics time to market, the overall cost for delivery of care, and provider burden; all while increasing interoperability by creating an ecosystem where personalized medicine and healthcare is actually possible.
Building portals and tools for scientists, patients, providers, and payers is only the tip of the iceberg. Arrayo provides forward facing solutions that consider data security, communication protocols, workflow automation, data management and a solid data governance framework. We utilize the latest digital technologies like SMART on FHIR to improve research and healthcare data infrastructure/management, EHR/EMR management, analytics, digital medicine and care delivery, supply chain, and more.
Adoption of digital technology, data centric systems and automation in an increasingly connected world plays a major role in the future of healthcare and the life sciences; it will drive improved outcomes and care while reducing cost and boosting efficiency. There is a wide range of challenges that can arise when utilizing innovative technologies and disrupting the status quo. From infrastructure to workflow analysis to complex regulations & standards; we provide industry expertise to guide and support our clients in their digital transformations.
Supporting HealthTech clients we allow them to capture emerging value in an increasingly connected and digital ecosystem. HealthTech solutions require a specific set of capabilities, expertise, and an innovative mindset; Arrayo brings the expertise to support that journey and build data bridges across data assets.