Life Sciences

Overview

In the Life Sciences field, the organization of data is essential, particularly because if done correctly, it can help save lives. For any given project, you can have hundreds of people from various occupations–from scientists to patients to CROs–generating data. Unfortunately, this data is divided into different systems and managed by different people. This is a problem for two reasons: first, there is no way to feel confident that all the data you need is available when you need it. And second, if you don’t know what you’re looking for, you have to sift through a jumble of disorganized, potentially-useless or potentially life-changing, information. Without some serious developments in technology, as well as big changes in the way we think about data across the industry, we are likely at risk of overlooking critical health discoveries; not because we don’t have the data necessary to make scientific progress, but simply because we haven’t organized it efficiently.

Whitepaper: "Keeping the Big Data Promise: Data Lakes for Life Sciences"

Big data leaders in the life sciences have been developing an ever-richer fabric of information for every meaningful decision, with the potential to cut development costs and timeframes by up to 30%. Download this whitepaper and learn how Life Sciences companies are applying data lakes across organizations, departments, functions, disciplines and product lifecycles, creating rich fabrics of information for use by everyone.

With Anzo You Can:

Automate Clinical Data Standards Management

ASDL is a knowledge graph-based solution; its ability to automate clinical data standards management is unparalleled in the marketplace today. ASDL can reduce implementation time by more than 4X, and improve regulatory compliance reporting.

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Advance Digital Patient Health

Continue to improve your patients’ health by gaining accelerated insights regarding patient safety, product efficacy, R&D operational effectiveness, clinical trials, Health Economics and Outcomes Research (HEOR), and Precision Medicine initiatives

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Accelerate Competitive Intelligence

Be a leader in your industry by allowing subject-matter experts to curate, correct, and augment the data they know best, and stay on top of the competition by receiving alerts when key developments occur regarding drugs, companies, targets, disease areas, or geographies of interests

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Strengthen Scientific Data Discovery

Search, navigate, correlate, and analyze all enterprise data assets, locked away in ELNs, LIMS, medical records, clinical trial data, spreadsheets, Word documents, PDF files, and enterprise applications

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Resources

  1. CDISC and Smart Data Lakes: Extracting Value from Clinical Trial Data

    In this blogpost we discuss how Anzo Smart Data Lake is efficiently able to collect, analyze and extract meaning and insight from this data for its pharmaceutical customers, turning their assumptions of the sampled population into valuable information.

  2. End-to-End Clinical Metadata Standards Management for Superior Regulatory Compliance and Operational Efficiency

    Download this Whitepaper to learn how Anzo Smart Data Lake allows multinational pharmaceutical companies to overcome the challenges associated with managing hundreds of global clinical trial data standards with spreadsheets and manual processes.

  3. Leveraging Real World Data (RWD) for Better Clinical Trials

    In this on-demand webinar co-hosted by Jeffrey S. Barrett, Vice President for Translational Informatics, Sanofi Pharmaceutical Company, we discuss the outcomes and methods of a pilot program to demonstrate the feasibility of leveraging Real World Data to inform Clinical Trial Simulations.