From research records and patient information to utilization details and supply chain
monitoring, pharmaceutical firms have been managing vast amounts of data for years.
However, as in virtually every industry, the era of big data has led to explosive growth in the
volume, variety, and complexity of data. The challenges of managing your data and other laboratory information can be significant, from ensuring that any data and information produced is secure, easy to find and share, as well as meeting regulatory compliance. Thankfully, we have advanced laboratory data management solutions that provide comprehensive coverage of all laboratory data management requirements, helping you to meet your compliance requirements while increasing your data connectivity and productivity.
Despite a glut of data, pharmaceutical companies suffer from insufficient customer insight, with inconsistent addresses, specialty or relationship data in various source systems, hindering efforts to align with emerging sales models and gain competitive advantage. Likewise, data on products, such as APIs, the production facility, product packaging or product market information, is held in disparate, often inconsistent source systems. However, nearly all large and mid-sized pharmaceutical companies have by now realized the wide-ranging benefits of MDM and, despite substantial data governance and project management hurdles, have started investing into data harmonization and analysis solutions.
Pharmaceutical companies need to spend less time preparing data sets for analysis and
more time discovering insights that they can turn into business value, such as:
- Identifying trial candidates and accelerating their recruitment
- Designing better inclusion and exclusion criteria for clinical trials
- Conducting virtual trials to build predictive models
- Uncovering unintended uses and indications for products
- Researching competitive products for strategic advantage
Handling Large Volumes of Heterogeneous Data
Pharmaceutical companies require technology that can transform, parse, and integrate vast amounts of data
generated from multiple sources—census records, disease outbreaks, treatment and therapy data, histories of
clinical trials, CRM and ERP data, and far more. The technology must be capable of integrating data at whatever
speed and scale a company demands, from batch processing to near-real time.
The ETLMax Platform manages, replicates, and integrates data at any volume and latency. It can handle up
to twice as much data while identifying dormant data and archiving inactive data to low-cost storage, improving
application and data warehouse performance as much as threefold.
Leveraging a Broad Variety of Data
Pharmaceutical companies must be able to transform and parse data from multiple sources and in multiple
formats: databases, text files, scientific devices, transactions, and even social media postings. End users also
need easy, consistent access to all of this data to create a 360-degree view of programs, patients, and partners.
ETLMax technology supplies fast, dependable access to any and all types of data, from both traditional and
emerging sources and at any latency in addition to also solving the problem of fragmented and disparate data
problems by harmonizing data within a 360-degree view of critical information.
Managing Data Quality and Data Security
Lives literally depend on the pharmaceutical industry’s ability to work from complete, trusted, timely data sets.
Pharmaceutical companies must optimize data processing across platforms and systems, both on premise and
in the cloud. They must also identify, mask, and manage sensitive data for competitive advantage as well as
regulatory compliance.
ETLMax lets organizations optimize the entire data processing pipeline, including data privacy, with easier
provisioning and processing in a hybrid IT environment for big data analytics that includes Hadoop.
Transforming Data Assets into Insight and Action
To create and deliver the right treatments at the right time, for the right patients, at the right cost, the
pharmaceutical industry needs to measure and monitor metrics and trends of all types faster than ever before.
Big data provides the necessary foundation for greater insight in less time