Unless you are like this American couple living off-grid or Jared Leto, you are probably well aware of the current Coronavirus pandemic, its global impact and the rush against time investigators are facing in finding treatment options. To expedite treatment development, scientists and medical experts around the world are using innovative approaches to shorten the timeline of drug discoveries and approvals to combat Coronavirus. And, as they move forward, leading researchers are recognizing the criticality of Big Data and analytics-driven approaches.
To quickly and efficiently investigate the efficacy of these drugs, scientists need to bring together patient data from across the world, along with the research data on the drugs under evaluation. Then, they must quickly process and refine this mostly unstructured or semi-structured data into an analytics-ready state, to be consumed by artificial intelligence (AI) and machine learning (ML) tools for rapid exploration and evaluation. Data lakes are an efficient and scalable platform to harness all this data and enable analysis.
However, traditional approaches to bringing massive volumes of multi-source/multi-format data together into a data lake – whether it is medical data on hundreds of thousands of patients from across the globe for leading drug discovery programs, or customer behavioral and attitudinal data for more commercial hyper-personalization initiatives – and getting it analytics-ready, are slow, time/resource-intensive and error-prone.
The inability to quickly and easily extract data from a variety of ever-growing source systems; data transfer bottlenecks; challenges to adapt to changing platforms; cumbersome, coding-intensive data refinement processes; and data integrity and trust issues – all make realizing the timely return from data lake initiatives challenging.
Managed data lake creation can help organizations overcome these obstacles and accelerate the delivery of continuously updated analytics-ready data for AI, ML and other data science initiatives to fast-track insights. However, data lake architecture is evolving. As you plan to build more agile, highly performant data lakes, keep the following key considerations in mind to future-proof your investments:
Coronavirus is not only putting the health of millions of people in peril; it is also ravaging economic stability. As supply chains struggle and consumer spending takes a hit, organizations need superior analytic insights to cope with an unprecedented situation. Managed data lake creation can provide you actionable insights in real-time by bringing together the data you need – operational, transactional, partner and syndicated – in an analytics-ready state.
Qlik provides you the end-to-end value chain from data integration to analysis and reporting to accelerate ROI from your data lake initiatives.
Learn more about Qlik’s solution for Managed Data Lake Creation or try our Real-time Data Replication capability for free.