What can a direct, real-time relationship with your data do for your business?
First, let’s consider the tidal wave of data that companies are dealing with. What’s the best way to handle Big Data and wield it as a tool for productivity? Visualize it. Even a simple tag cloud – a visual representation of text data – generated from billions of structured and unstructured data pieces can offer critical insights that were previously unreachable.
Next, let’s examine a use case of such analysis. This recent InfoWorld report presents a healthcare-related scenario that makes a strong case for coupling Big Data with data visualization techniques:
According to the report, the healthcare industry is primed to experience the farthest-reaching positive impact from Big Data visualization. 36% of healthcare companies are currently investing in Big Data analytics, as reported by Gartner. Another 15% plan to make the investment within the year, bringing the healthcare industry to the forefront of this movement.
Patient record-keeping has previously been a needle-in-a-haystack mission characterized by towers of bloated files that encroach and consume back-office spaces. Records would need to be located, collated, and painstakingly analyzed before a treatment plan could be created and analyzed against other options. Tools that can centralize this crucial information and speed up analysis are in higher demand than ever.
That’s what you get with Big Data visualization. Instead of clusters of information in different formats, all data is placed in a single cluster for analysis by a business intelligence (BI) tool, making millions of patient records readily available for classification and further study. Medical professionals can then study treatment outcomes based on a myriad of factors and determine the most successful patterns – paving the way for more comprehensive overall patient care and higher survival rates.
A SiliconANGLE article from late October continues to extol the virtues of Big Data visualization investments in the healthcare industry. The article describes a new application that uses Big Data to study the spectrum of medical conditions and accurately predict how these diseases will affect the human body in the future.
This opens the door for more accurate attempts at finding a cure and, just as importantly, enables greater patient collaboration. Patients can use intuitive interfaces to understand treatment options and visualize their projected progress. This type of predictive modeling can also help convince patients with certain conditions to try medications or take preventive actions before a problem becomes more serious.
The availability of these capabilities is growing. In November, SAP partnered with MolecularHealth in an effort to improve oncologists’ clinical decision making – thereby enhancing the quality of care for cancer patients.
Faster diagnoses. More informed patients. The most comprehensive and specific treatment plans delivered faster than ever before. And we’re just scratching the surface of the role of Big Data visualization in healthcare.
To learn more, read the full report here.