IoT Analytics – Living on the Edge is the way forward for now

IoT Analytics – Living on the Edge is the way forward for now

IoT Analytics – Living on the Edge is the way forward for now

Everyone’s talking of the Internet of Things (IoT) and the impact it’s started to make even on day to day lives. Yet, more than anything, it’s also becoming increasingly clear that analysis of the IoT data will be the differentiator between those who simply collect data and those who “use” it to drive their businesses.

Enterprises that will use IoT analysis will see themselves implementing faster customer services than their rivals, as well as add new amounts of additional yields.

That said, it’s clear that the IoT analytics will require a well-thought out strategy on part of the Enterprise. Unlike the other, modern-day streams of data analytics, this branch is slightly more complicated. The primary reason  – the humungous amounts of streaming data that is/will be generated and analysed, in real time.

How does one collect this data? In fact, is it necessary to collect all the data? These and many other questions need to be answered by an Enterprise’s decision-makers to tackle the complexities of the IoT data.

Read Also:
Why Data Integration is the Future of Marketing

Traditional data that is used in a B2B or B2C operation, and its analysis, requires the collection of raw data, locating it in a data hub, scrubbing it and then handing it over to the analysts to draw predictive or other forms of analytic models.

But that same structure cannot be applied for IoT data because the huge volumes that will pour out in real time means centralizing it will be almost impossible. Imagine you running a national cold storage company with your own in-house fleet of trucks, mini-vans and warehouses.

 



Data Innovation Summit 2017

30
Mar
2017
Data Innovation Summit 2017

30% off with code 7wData

Read Also:
Data.mil: An Experiment in Defense Open Data

Big Data Innovation Summit London

30
Mar
2017
Big Data Innovation Summit London

$200 off with code DATA200

Read Also:
SQL Server 2016–Which Edition Do You Need for Business Intelligence?

Enterprise Data World 2017

2
Apr
2017
Enterprise Data World 2017

$200 off with code 7WDATA

Read Also:
Quality Assurance at Cloudera: Fault Injection and Elastic Partitioning
Read Also:
Predictive Analytics Let Manufacturers See More Clearly into Their Supply Chains

Data Visualisation Summit San Francisco

19
Apr
2017
Data Visualisation Summit San Francisco

$200 off with code DATA200

Read Also:
Data from 130 million commuters reveal US ‘megaregions’

Chief Analytics Officer Europe

25
Apr
2017
Chief Analytics Officer Europe

15% off with code 7WDCAO17

Read Also:
As with All Data, Big Data Needs Governance -

Leave a Reply

Your email address will not be published. Required fields are marked *