There is a phrase in my home that my teenagers hear all too often…”don’t be a sheep”. Personally, I fully support free-range kids and try to raise them to be capable of vast independent thought, revolutionary ideas and leading the next generation into a higher level of understanding. I want them to be unicorns reaching beyond their perceived limits and understand how extraordinary they are and not blindly follow the pack. Yet, their response is almost always “can I go hang out with my friends now?” along with a series of eye rolls.
It doesn’t matter if we are discussing children, ourselves, or the companies that employ us, we all want to be seen as unique, yet fit in with the pack. I am frequently asked “what do you see others doing in this space” or “how different are we than others you have worked with”. The reality is, each industry has very similar key performance metrics to measure operational, financial, and regulatory compliance. So if we are all measuring the same things, how do we turn ourselves from sheep into unicorns?
Delivering actionable information to improve decision making capabilities, should be an implicit and fundamental goal of any Business Intelligence initiative. In my role as Retail Practice Advisor, I have seen many companies fall well short of this goal, largely due to their underlying approach.
Companies need to consider, and approach, BI as an enabling technology and seek to integrate all available data and develop the relevant analytics, unfettered by their existing reporting portfolio. Utilizing an information centric approach to guide the design, measurements and solution architecture enables quantum advances in business insight and analytic capabilities.
The healthcare system business and technology environment is pushing organizations to move beyond traditional, reactive and silo-based data management approaches to a managed – even predictive – approach that treats their clinical, operational and financial data as a strategic asset and uses it to create business value and advantage.
Traditionally, healthcare understood all too well what it took to manage assets such as treatment facilities, clinical staff, and patient relationships. However, when it comes to data, healthcare often fails to implement the responsibilities and accountabilities needed to manage it effectively. The result is deficiencies in data availability, accuracy, timeliness, protection and accessibility. Additionally, when employees aren’t certain who is responsible or where to go for data management, they begin to churn and become misdirected as to what is process related versus what is a technical deficit.