Why is big data analytics important for you?
- Timely.
- Accessible.
- Holistic.
- Trustworthy.
- Relevant.
- Secure.
- Authoritative.
- Actionable.
Traditionally, there was process of utilizing systems to extract, transform and
load data into giant data warehouses that had business intelligence solutions
built over them for reporting. Periodically, all the systems would backup and
combine the data into a database where reports could be run and everyone could
get insight into what was going on.
The problem was that the database technology simply couldn’t handle multiple,
continuous streams of data. It couldn’t handle the volume of data. It couldn’t
modify the incoming data in real-time. And reporting tools were lacking that
couldn’t handle anything but a relational query on the back-end. Big Data
solutions offer cloud hosting, highly indexed and optimized data structures,
automatic archival and extraction capabilities, and reporting interfaces have
been designed to provide more accurate analyses that enable businesses to make
better decisions. The new benefits that big data analytics brings, are :
Few years ago, a business would have gathered information, run analytics and unearthed
information that could be used for future decisions, today that business can identify
insights for immediate decisions. The ability to work faster and stay agile, gives
organizations a competitive edge they didn’t have before.
There is no doubt that high-performance analytics let’s do things which were never thought
about before because the data volumes were just way too big. But with the commencement of
Big Data Analytics, one can get timely insights to make decisions about opportunities, get
precise answers for problems and uncover new growth opportunities, all while using IT
resources more effectively.