Vienna, Austria – April 18, 2017 - The IoT Starter Package is the first step of four in pmOne Analytics’ approach to enterprise digitization – the overall process ultimately resulting in the customer’s custom Manufacturing Analytics Hub. The topics of IoT and enterprise digitization are both broad and novel concepts to many C-levels today. The lack of knowledge or fear of error, cost, and complexity sometimes lead to no enterprise digitization measures being taken at all, leaving companies at a critical risk of being completely surpassed by faster-adapting competitors. The IoT Starter Package is aimed at removing these barriers by breaking down the steps to digitization into smaller-scale, less intimidating procedures. No such Manufacturing Analytics solution is currently offered on the market and companies with no in-house IoT expert are looking for better ways to approach the digitization topic. This observation prompted Gernot Molin, Managing Director of pmOne Analytics GmbH, to develop such a solution.
For many of our customers, starting IoT projects is like dealing with the ‘chicken or the egg’ conundrum. There has been a lot of ‘well, we know we need to digitize, but where and how do we start?’ The answer is the IoT Starter Package.” – Gernot Molin, Managing Director of pmOne Analytics GmbH.
Before the Starter Package, customers considering IoT and manufacturing analytics projects were typically obligated to invest high-level modifications to their infrastructure from the get-go without the veritable understanding of the implications of the work involved. By its nature, the first of the four modules making up the path to the Manufacturing Analytics Hub allows customers to have a more comfortable grasp of what requires such mammoth up-front financial and infrastructure investments. This is an excellent opportunity both for pmOne Analytics to access customers who have been inadequately approached by other data science consultancies and for companies looking for a low-liability chance to start their digitization process.
The Manufacturing Analytics Hub makes use of a variety of Microsoft Azure services such as Azure Blob storage for storing data in full resolution (e.g., raw machine data); Azure Machine Learning as an environment for Python, Azure IoT Hub for device control; Power BI for dashboarding, Azure Data Factory for execution, and the Spark environment on Azure for large- scale computing power.
About pmOne Analytics GmbH
The award-winning team (Digital Leader Award and Microsoft Data Platform MVP Award) behind the Advanced Analytics division of pmOne AG is comprised of Top-Tier Data Scientists, Data Engineers, and Cloud Services specialists who focus on the areas of data science and predictive analytics. Their mission is to help customers stay competitive in the era of digitalization by making the right strategic business decisions. Note to editors: If you are interested in viewing additional information on the IoT Starter Package and pmOne Analytics GmbH: https://www.pmone.com/internet-of-things