Big data and analytics have become a permanent fixture in the healthcare world. The movement to a digitized environment has inevitably created various organizational databases to house massive amounts of data – familiar examples may be an Electronic Health Record (EHR) system or Hospital Information System (HIS). However, an organization’s survival depends on the ability to make sense of the data, specifically the ability to perform analytics on the information to produce useful insights.
There have been extensive efforts and resources invested into these databases, but now, the industry needs to prepare to handle analytic capabilities on a large scale. For simplicity sake, the distinction between the two will be identified as a production database and an analytic data warehouse. Production databases are built for transactional processing – information structured in a tabular format – which is able to keep a small amount of historical data. Analytic data warehouses are optimized for large-scale advanced statistical capabilities for performing ad hoc querying and forecasting. Production databases only contain data from one system, and therefore analyses may one dimensional and incomplete. An analytics data warehouse can interface with multiple, disparate systems and run aggregation queries in an efficient manner. The analytic data warehouse engine contains statistical and predictive modeling techniques to perform data discovery, visualization, and real-time decision-making.
Utilizing a production database to address analytical needs is an expensive, time-consuming, and complex endeavor. There is a profound need for a solution that has already considered the complexities of business analytics. Thankfully, solutions like Viewics specialize in data warehousing and analytical databases for healthcare. Instead of using SQL or Oracle underlying systems, Viewics uses vertical database technology built for ad hoc querying of large datastores. The Viewics solution is capable of storing and computing hundreds of gigabytes of data, track trends and analyses on historical data, expanding the universe of an organization’s knowledge and insight.
The necessity of using a robust analytics data warehouse on top of a reliable database extends beyond the nature of how the data is processed. These analytics solutions run sophisticated data translations, calculations, and string querying to provide the end user with information they can use and trust. When multiple users are running analytic queries of their data, they are able to do apples-to-apples comparisons and ensure consistency of the output. Viewics takes it one step further and offers users an intuitive user interface to query their data in real-time without programming knowledge. Instead of waiting around for long queries that can delay progress, leaders can have their questions answered in a matter of minutes.
Leaders need a savvy business partner to provide an advanced back-end analytics data warehouse solution, which also keeps the user and their needs at the forefront. Contact Viewics to find out more.