Published by Jessica Weisman-Pitts
Posted on September 26, 2022
4 min readLast updated: February 4, 2026
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By Paul Scholey, Vice President of International Sales, Sisense
Organisations are starting to realise the immense value of infusing data and analytics in IOT devices and applications. In fact, a recent study, “The Business Intelligence Landscape,” commissioned by Sisense and conducted by The Harris Poll among product decision-makers, highlights that companies offering data and analytics to their customers have a competitive advantage and reap the benefits of increased revenue and loyalty.
Interestingly, 53% of respondents wished their analytics experience was more aligned with user-friendly entertainment applications, such as Netflix and Spotify. Meanwhile 96% believe their customers are interested in having AI-driven insights that can provide actionable, personalised intelligence in the context of their activity.
The IOT evolution
Modern-day IOT devices and applications are already seeing people gleaning insights from data in their daily lives in ways that benefit them. Smartwatches, for example, leverage data to let people know when it’s time to stand up and walk around to meet personal step goals.
Popular apps and products have made the process of extracting value from data from IOT devices completely seamless, and in many cases, invisible. The data is so easy to consume because it’s right there and in the right context when it’s needed.
What we’re now seeing is users will adopt analytics when it works for them. That is, when it’s easy to access, non-intrusive, clear, direct, and provides the relevant insights that connect to their needs.
Starting the IOT data journey
Organisations who are starting their engagement with analytics need to make the data consumable and “bite-sized”. They must enable the process, so there is a limited gap between insight to action. In other words, take the relevant data to the person contextualised and in the workflow they want to use.
Who is getting it right?
As an example, technology platform Vitality centralises data from devices on meters, sprinklers, building automation systems, and more. Vitality’s building intelligence solution unifies all endpoint data in a single place. Its platform takes the guesswork out of building operations to help property managers reduce operating expenses, avoid costly damage – and optimises ROI while lowering overall energy consumption. By infusing Sisense’s data analytics platform, Vitality supercharged its offering, saving clients millions of dollars.
Another example is in the area of big data and the internet of things (IoT) and modern telematics. Telematics are now proving crucial to ‘the Internet of Things that Move’ (IoTtM).
What has become clear is that collecting the data is only one part of the picture. Analysis of ‘IoTM’ data can deliver wide-reaching benefits such as reduced fuel and maintenance costs, better communication and enhanced safety. More significantly, modern telematics can be used to completely revolutionise the new ‘data smart’ connected vehicle.
Directed Technologies, provider of automotive electronics and fleet telematics solutions, recently set up a strategic partnership with SingleStore and Sisense to enhance its telematics offering with a more data-driven approach.
With the help of its new partners, Directed Technologies can now manage large data volumes on a real-time basis, and is increasing the availability and scalability of its telematics. This allows for wide-ranging benefits since telematics can provide profound environmental, personal, and corporate benefits, including a more than 99% reduction in driver violations and dramatically lower fuel consumption and maintenance costs.
Empowering the future of IOT with data and analytics
The future is exciting. Infusting advanced analytics in your IOT applications is one of the most powerful tools for business. There’s a treasure trove of information available to any company that’s willing to unlock it. That’s information that can provide a clear path to growth and profitability.
About Author:
As Vice President of International Sales, Paul Scholey is responsible for growing the Sisense business in EMEA and APAC. He brings over 25 years of experience in the software industry, having previously worked in and led teams in consulting, pre-sales, and sales. Paul has a track record of growing early stage and midsize software companies, with specialisation in building sales teams focused on accountability and value-based selling. Most recently, he was SVP of International at BlueJeans by Verizon. Prior to that, Paul held a variety of leadership positions at Oracle, Teradata, Pentaho and Business Objects.
The Internet of Things (IoT) refers to the network of interconnected devices that communicate and exchange data with one another, enabling smarter operations and insights.
Data analytics is the process of examining datasets to draw conclusions about the information they contain, often using specialized systems and software.
AI-driven insights are actionable information derived from data analysis using artificial intelligence techniques, providing personalized intelligence based on user activity.
A competitive advantage is a condition or circumstance that puts a company in a favorable or superior business position compared to its competitors.
Actionable intelligence refers to information that can be acted upon to make informed decisions, often derived from data analysis.
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