Real-time intelligence: The ultimate IoT prize?

Bob Emmerson, independent M2M writer and analyst

The concept of big data analytics has been around for several years. It has allowed businesses to examine large amounts of historic data in order to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information. This process originally took place in a data centre, but now it is often conducted in the cloud.

What’s relatively new is the introduction of massive amounts of machine and sensor data being generated by the Internet of Things (IoT) at the edge of various networks. This has led to the development of edge-based processing facilities, e.g. intelligent gateways that allow data to be processed close to the source, whether that’s a vehicle motor, a mechanical door, or a network router.

Therefore, less data needs to be transmitted to the cloud – this would typically be exception data: measurements that are outside the limits determined by the application, says Bob Emmerson, independent M2M writer and analyst.

It can be useful to divide data analytics into long term analysis employed in a central environment and data analysis performed at a local point, where it is employed in order to generate real-time intelligence on operations in the nearby environment as they occur.

In addition to combining long-term and real-time data, analytics can also enable predictive analysis, which is used to determine patterns and predict future outcomes and trends. Predictive analysis does not tell you what will happen in the future. Rather, it uses statistical models and forecasting techniques to indicate what could happen with a certain probability.

All three models represent a logical development that addresses a generic issue: organisations lack insight into the critical aspects of their business —aspects that are getting increasingly complex in today’s highly competitive marketplace. Data analytics is a factor that will, to a large extent, determine the future growth rate across industries.

So far, so good

I’m a freelance writer, an industry observer: I’m not a data analytics expert and until recently I failed to realise that my focus on the IoT obscured the importance of data coming from traditional information systems such as ERP, CRM, and others. They are of course sources of very useful business intelligence in their own right. Therefore, it follows that comprehensive business analytics should accommodate data coming from both the field and from internal business environments.

Pentaho, which is part of the Hitachi Group, talks about the need for “a highly flexible platform for blending, orchestrating, and analysing data from virtually any source, effectively reaching across system, application and organisational boundaries.” Needless to say the company markets the requisite platform. It allows analysts to engineer, explore and visualise data sets, while managers and executives can leverage the reports and dashboards based on both traditional and emerging data sources in near real-time.

Is this the ultimate IoT prize? Time will tell, but it makes sound business sense.

Pentaho’s Data Integration solution will be demonstrated at CeBIT in Hanover on Hitachi High-Tech’s booth, Hall 13 / E77.

The author of this blog is the independent M2M writer and analyst, Bob Emmerson.
He can be contacted at: bob.emmerson@melisgs.nl

Comment on this article below or via Twitter: @IoTNow_ OR @jcIoTnow

FEATURED IoT STORIES

9 IoT applications that will change everything

Posted on: September 1, 2021

Whether you are a future-minded CEO, tech-driven CEO or IT leader, you’ve come across the term IoT before. It’s often used alongside superlatives regarding how it will revolutionize the way you work, play, and live. But is it just another buzzword, or is it the as-promised technological holy grail? The truth is that Internet of

Read more

Which IoT Platform 2021? IoT Now Enterprise Buyers’ Guide

Posted on: August 30, 2021

There are several different parts in a complete IoT solution, all of which must work together to get the result needed, write IoT Now Enterprise Buyers’ Guide – Which IoT Platform 2021? authors Robin Duke-Woolley, the CEO and Bill Ingle, a senior analyst, at Beecham Research. Figure 1 shows these parts and, although not all

Read more

CAT-M1 vs NB-IoT – examining the real differences

Posted on: June 21, 2021

As industry players look to provide the next generation of IoT connectivity, two different standards have emerged under release 13 of 3GPP – CAT-M1 and NB-IoT.

Read more

IoT and home automation: What does the future hold?

Posted on: June 10, 2020

Once a dream, iot home automation is slowly but steadily becoming a part of daily lives around the world. In fact, it is believed that the global market for smart home automation will reach $40 billion by 2020.

Read more
RECENT ARTICLES

Yellowfin explores the future of data storytelling and reveals the impact narrative and automation will have on business analytics

Posted on: October 27, 2021

London. 27 October, 2021 – Yellowfin, the analytics vendor that combines action-based dashboards, automated discovery, and powerful data storytelling, launches a white paper exploring ‘The Future of Data Storytelling: how narrative and automation will redefine the next decade of analytics’, offering valuable insight to organisations on the power and potential of future augmented and automated

Read more

Renesas and wolfSSL enable ready-to-use IoT security solutions based on embedded TLS stack

Posted on: October 27, 2021

TOKYO, Japan and EDMONDS. Washington, October 27, 2021 ― Renesas Electronics Corporation, a supplier of advanced semiconductor solutions, and wolfSSL, a provider of embedded security solutions, announced a multi-year licensing agreement whereby customers of Renesas’ 32-bit MCU offerings can obtain a free commercial license for the wolfSSL TLS (Transport Layer Security) stack with integrated Renesas hardware

Read more