As both the battalion chief of my local ambulance and rescue squad and a business intelligence consultant, you can imagine that healthcare analytics are near and dear to me. Plus, living in the Philadelphia region, it’s impossible to escape the news of numerous hospital closures every year. So at arcplan, I love working with hospitals and healthcare organizations to build reports and dashboards that track the metrics critical to their survival. All the way back in 2001, Paul Mango and Louis Shapiro of McKinsey & Company argued that hospitals are essentially a commodity business and therefore need to compete on the basis of operational efficiency. This sentiment rings true more than 10 years later, with skyrocketing medical costs, declining insurance reimbursements, and increased utilization by an aging population. Giving hospital executives (and physicians!) access to real-time data has never been more critical to hospital operations.
Hospital executives often report on financial, operational and clinical system metrics which are crucial to ongoing operations and management. The hospitals we’ve worked with often have an overarching goal to provide efficient, quality care to patients, and they need access to their existing data to make sure they are achieving that goal. Important metrics that roll up to the goal of “efficiency” include the average wait time for a hospital bed, physician productivity, nurse turnover rates and the cost per discharge. Metrics that roll up to a “quality” goal include average length of stay, re-admission rates and patient satisfaction. The only way to improve the quality and efficiency of care is to analyze current performance and identify areas for improvement.
One of arcplan’s customers, the largest private operator of healthcare facilities in the world, came to us when they were focusing on efficiency. For more than 5 years, they have used an arcplan-powered business intelligence system (with data from Oracle Essbase and Teradata) to track key metrics and make decisions that improve efficiency of care – specifically in emergency rooms. All of their ERs needed to reduce wait times, shorten lengths of stay, and avoid people leaving the ER without care and treatment. The goal became to have every ER patient seen by a doctor within 45 minutes of arrival.
So what metrics do they track to achieve this goal? Here are a few examples:
Acquiring thorough insight into your data and tapping into the needs and buying patterns of customers are growing needs for businesses striving to increase operational efficiency and gain competitive advantage. Throughout 2011, I noticed a heightened interest in ‘big data’ and ‘big data analytics’ and the implications they have for businesses. In August, Gartner placed big data and extreme information processing on the initial rising slope of their Hype Cycle for Emerging Technologies, so we’re just at the beginning of the big data trend. A recent TDWI survey reports that 34% of organizations are tapping into large data sets using advanced analytics tools with the goal of providing better business insight. The promise of big data analytics is that harnessing the wealth (and volume) of information within your business can significantly boost efficiency and increase your bottom line.
The term ‘big data’ is an all-inclusive term used to describe vast amounts of information. In contrast to traditional data which is typically stored in a relational database, big data varies in terms of volume, frequency, variety and value. Big data is characteristically generated in large volumes – on the order of terabytes or exabytes of data (one exabyte starts with 1 and has 18 zeros after it) per individual data set. Big data is also generated in high frequency, meaning that information is collected at frequent intervals. Additionally, big data is usually not nicely packaged in a spreadsheet or even a multidimensional database and often takes unstructured, qualitative information into account as well.
So where does all this data come from?
If you follow arcplan news, you’ve probably heard about our new partnership with Teradata. We just got back from exhibiting at the Teradata PARTNERS User Group Conference (TDPUG) in San Diego late last week and we’re blown away by how well we were received at the show.
Overall, the show was positive and encouraging, with Teradata’s customers really looking to partners for ways to extend the reach of their existing infrastructure and drive utilization and data storage within Teradata.
We met with so many data architects, DBAs, BI managers, and analysts who were excited over arcplan’s status as the only partner to support Teradata’s new OLAP connector without the need for a semantic layer. We talked to many Teradata customers who have already installed (or are in the final stages of installing) the OLAP connector in order to directly integrate a BI solution into their Teradata Warehouse. That’s what arcplan does, and it saves developers time – time to value, time to build reports, dashboards, and other analytic applications…and it also saves money since it requires less resources and less infrastructure.
We demo’d arcplan’s support for the Teradata OLAP connector and heard a lot of interest in the fact that arcplan takes the power of Excel (the only other way to access the OLAP interface directly) and broadens it to the casual business user of BI – those who need intuitive access to their reports and dashboards either on their desktop browser or on any mobile device. In fact, I spent most of the show walking around with my iPad out, showing arcplan + Teradata everywhere I went (as you can see in the picture).
We also spoke with attendees in the finance function, or IT managers responsible for budgeting and planning support, whose interest was piqued by our integrated platform, which combines reporting with budgeting and planning capabilities (allowing Teradata customers to leverage their existing infrastructure and expertise to address this additional organizational need!).
We’ll definitely be back next year. In the meantime, if you have questions about how arcplan works with Teradata, or if you’re a Teradata customer who is exploring the OLAP connector, email us or leave us a comment!