By Adam Lorant, VP Product Management & Solutions, PHEMI
The trade-offs of building it yourself vs. going with a pre-integrated, out-of-the-box platform
You don’t have to look far to see the amazing things that organizations are doing with big data technology: pulling information from past transactions, social media and other sources to develop 360-degree views of their customers. Analyzing thousands of processes to identify causes of breakdowns and inefficiencies. Bringing together disparate data sources to uncover connections that were never recognized before.
All of these innovations, and many more, are possible when you can collect information from across your organization and apply data science to it. But if you’re ready to make the jump to big data, you face a stark choice: should you use a pre-integrated “out-of-the-box” platform? Or should you download open-source Hadoop software and build your own?
Which path is right for your organization? Here are some steps to get there:
- Assembling puzzle pieces
- Weighing cost
- Collecting and using data is not the same thing
- Going from lab to production
To learn more about what is best for your organization, view the original article here.
Adam Lorant is the VP Product and Solutions and co-founder of PHEMI Systems, responsible for driving the the product vision and strategy. He works closely with leading healthcare research organizations, healthcare providers, and payer organizations to help them define and implement their big data strategies.