Qlik Qonections 2017: Unlock more value in your IoT data
Posted: Wed Jan 29, 2025 5:48 am
According to Business Insider, IoT can be defined as “a network of internet-connected objects capable of collecting and exchanging data using embedded sensors.” This can be applied to many use cases such as smart meters, consumer demands, fleet management, connected vehicles, remote patient monitoring, automated inventory management, production, predictive maintenance, and many other areas. The vast number of use cases that can be enhanced by IoT is the reason why IoT is being or will be implemented in many types of industries including manufacturing, retail, transportation and logistics, healthcare, utilities, insurance, and government.
Are industries on the path to adopting IoT?
When talking about technology spending by industry, both Banking and Insurance, Pharmaceuticals and Government are the first to be named as they have more money to spend. Interestingly, IoT adoption in Manufacturing, Transportation and Logistics, Consumer Products, Energy and Utilities and Retail are leading the way with use cases in place today or anticipated in 2-3 years.
Are you taking advantage of IoT?
IoT is a huge opportunity for every industry, but the usa number data window is closing due to the adoption of IoT technologies in low-margin industries. The best way to take advantage of this trend is to start collecting and analyzing sensor data to test and verify assumptions. To do this, there needs to be an advanced analytics environment that can do the following:
Combining disparate data : IoT and sensor data will be a massive new data feed.
Proactive Analytics : Sensors provide timely data, but to be useful they must enable a business user to spot a trend and take action.
Automate the repetitive : Sensor data can show a repetitive pattern.
The Qlik Analytics platform allows incredible flexibility to combine sensor data with any number of internal and external data sources. It also includes advanced analytics integration for IoT use cases like predictive maintenance that helps in proactive analytics.
Qlik's positioning within the IoT ecosystem
How to Unlock More Value in Your IoT Data?
Through value creation: To create value from IoT data, it needs to be associated with other data and carry out continuous IoT value creation.
Innovating. Innovation from IoT data is crucial, but it needs to be discovered among the data. To do this, it is necessary to expand IoT analytics in the company.
To realize the value of IoT, it is necessary to share insights that have an impact on it. It is necessary to maximize ROI in the IoT ecosystem.
Are industries on the path to adopting IoT?
When talking about technology spending by industry, both Banking and Insurance, Pharmaceuticals and Government are the first to be named as they have more money to spend. Interestingly, IoT adoption in Manufacturing, Transportation and Logistics, Consumer Products, Energy and Utilities and Retail are leading the way with use cases in place today or anticipated in 2-3 years.
Are you taking advantage of IoT?
IoT is a huge opportunity for every industry, but the usa number data window is closing due to the adoption of IoT technologies in low-margin industries. The best way to take advantage of this trend is to start collecting and analyzing sensor data to test and verify assumptions. To do this, there needs to be an advanced analytics environment that can do the following:
Combining disparate data : IoT and sensor data will be a massive new data feed.
Proactive Analytics : Sensors provide timely data, but to be useful they must enable a business user to spot a trend and take action.
Automate the repetitive : Sensor data can show a repetitive pattern.
The Qlik Analytics platform allows incredible flexibility to combine sensor data with any number of internal and external data sources. It also includes advanced analytics integration for IoT use cases like predictive maintenance that helps in proactive analytics.
Qlik's positioning within the IoT ecosystem
How to Unlock More Value in Your IoT Data?
Through value creation: To create value from IoT data, it needs to be associated with other data and carry out continuous IoT value creation.
Innovating. Innovation from IoT data is crucial, but it needs to be discovered among the data. To do this, it is necessary to expand IoT analytics in the company.
To realize the value of IoT, it is necessary to share insights that have an impact on it. It is necessary to maximize ROI in the IoT ecosystem.