According to a Harvey Nash / KPMG survey healthcare CIOs are significantly more interested in expanding data analytics infrastructure in 2018 than counterparts in other industries (1). To help with this interest we put together our Top 5 Business Intelligence trends for 2018.
- Predictive Analytics
This buzz word has gathered a lot of attention in 2017 and we see this trend continuing into 2018. How can you improve in 2017? Use predictive analytics to take preventative action to positively impact the organization. Examples include the LACE metric which predicts patient risk of readmission and notifying coordinated care team to work with those identified patients at high risk.
- Self Service Dashboards and Analysis
Implement business intelligence solutions with self service capability. Many organizations track KPIs in their various departments. What happens when you have an ad hoc data requests or the boss needs that report but in a different way? Self-service analytics empowers people in your organization to create insight into your data to make it meaningful and actionable. Easy to use tools gives user the ability to create data dashboards and reports for their various use cases.
- Data Storytelling/Storyboarding
Data storytelling or storyboarding is the technique of bringing data to life by visually laying out various data scenarios to make it easier to communicate and understand. Storytelling with data can have tremendous impact on comprehension of data whether this is strategy sessions or monthly forecasting.
- Decentralized Analytic Control
Ever been in that scenario where 1 team member or group is the gatekeeper to data? Ever asked for specific reports or KPIs and receive them a week or month after you needed it? I’ve witnessed this first hand at a previous organization. Flatten out your data analytic control by providing easy to use tools that multiple users or departments can leverage to slice and dice data to their own need i.e. operations has different needs/use cases on patient demographics than marketing.
- Web Based / SAAS models
Lower cost of entry, no maintenance, reduced risk, secure data, coupled with a reduced time to implement and less staff resources required to implement enables organizations to have a business intelligence solution live in weeks as opposed to months.