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The IoT industry is slated to reach $1.29 trillion by 2020 and there are already more IoT devices than there are smartphones. More and more companies are now adopting IoT to streamline their businesses and hence are finding the need for data analytics solutions that can help make sense of the IoT data.
IoT data involves datasets generated by sensors, which are now both inexpensive and sophisticated enough to support an apparently limitless variety of analytics and artificial intelligence use cases. IoT solutions find their use-cases across various industries – Healthcare, Supply Chain, Discrete and Process manufacturing, Biotech, Travel and Transportation, Education and more. The volume of IoT sensor data is growing each day and the need to analyze and gather insights from them is also growing at a rapid pace.
Applying data analytics and business intelligence on top of the IoT data has helped companies get key insights into the IoT data and near-real time view of their operations thereby enabling faster and productive decisions. Moreover, with use of tools like AWS IoT analytics, Microsoft Azure Stream analytics, IBM Watson IoT platform, Power BI, Tableau or Qlik, companies are finding it convenient to deploy near real-time analytics as well as create meaningful dashboards and visualizations.
By collaborating with the right strategy partner, businesses can couple data analytics with IoT to leverage data for gaining a competitive advantage. IoT and Data analytics consulting companies like Aress Software have been instrumental in providing consultancy, design, development and implementation services needed to successfully harness IoT data for better business outcomes. Read more at https://www.aress.com/business-intelligence-data-warehousing-services.php
Category: Analytics, Artificial Intelligence, Big Data and BI