Despite being archaic,, legacy systems are bursting at the seams with valuable data. After all, these systems have been collecting data for years, if not decades; this data can prove instrumental in business intelligence or analytics.
That said, legacy systems suffer from a couple of problems that make them unsuitable from a data analytics standpoint
If you talk Data to business, it goes to their head. If you talk to business about driving a new competitive advantage and creating new markets based on accurate and trustworthy data, it goes to their hearts.
Many so-called scratchpads often end up being pushed into production service, frequently without any kind of testing or management.
The benefits of big data on the healthcare industry are numerous, from improving safety to making telehealth options possible.
Here’s how big data is making an impact.
Some companies have been exploring how AI and deep learning could enhance their operations, whereas others have been ardently searching for the best data scientists in the market.
However, during this gold rush, some companies have been making dangerous mistakes, which is understandable since we are all in uncharted territory. With that in mind, companies that want to gain a competitive advantage should learn from their mistakes as well as those of others.
Most of our business is focused on how to deliver data integrity. Data quality is scanning the data for problems, cleaning it up, but what we can do is bring in the notion of location and data enrichment [resulting in data integrity]
