Big Data & IoT
having to build new and different tools
to meet the data collection needs of
different domains. This could result
in data being locked away in silos,
which could make operations harder
and result in downtime. This paired
with the aforementioned weaknesses
will cost the organisation time, money
and its reputation.
Smart data framework
To handle this explosive growth,
organisations need a smart data
framework that can collect, enrich and
integrate IoT data at scale and with
context. This will allow them to make
strategic decisions with confidence.
But in an IoT world, how do we
even measure scale and will current
collection platforms scale with the
enterprise when the number of IoT
data points needed for analytics could
double in the next year?
Enterprises need a platform that
does more than just provide collection
– it needs a device and technology
agnostic platform to enable speed at
scale, removing the worries behind
creating different tools.
The platform needs to be able
to collect any time series data from
any source and type, and scale it
intuitively with infrastructure growth.
Some platforms out there, while
effective, do not offer the flexibility
and agility needed for next generation
environments like IoT networks.
It’s also worth noting that business
analytics tools – while great at
providing insights across IoT data sets
– are not well equipped to handle the
collection of IoT data from so many
disparate sources and protocols.
Organisations need to avoid only
using these tools if they want their
network operations to be a succinct
and streamlined success.
The bottom line is that data needs
to be managed to provide value and
enterprises need a smart framework to
do it. A smart data framework, which
is both product agnostic and proven to
scale on demand, can deliver real time
insights that will help maximise the
potential of an enterprise.
Not only will it monitor sensor
data, it will give you visibility across all
layers of the infrastructure, allowing
organisations to enrich, contextualise
and baseline the data. This helps
assure not only the integrity of the IoT
data, but the integrity of the service.
Organisations should use a smart
data framework to collect data and
provide real time analysis. This can
be paired with a business intelligence
tool for more granular, business
critical data to help automate and
optimise the business.