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I remember my research days some 20 years back working on presentation on Cleaner Production Technologies and Circular Economy. This CE has taken prominence in recent years due to increased pressure on Natural resources and changing consumer behavior. As we all know increased resource consumption results in increased waste generation which returns to environment, if not properly managed. That is the linear economic model (take, make, use, dispose) is an unsustainable practice. Recent heightened interest in carbon emission management, smart cities, waste management, water usage etc, are also acting as enablers for adoption of CE models. Given the recent explosion of technologies like Big Data & IoT, mobility changes, there seems tremendous opportunity to enable rapid adoption of CE in manufacturing and other sectors.

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This is not the first time that we have been…

SAP Software technologically has been changed over the years and currently it is available with version S/4 HANA 1909. Each version differs from the previous version in terms of big shift in the technology and functionality and user experience. There are majorly two different versions available for EHS. The modules like Incident Management, Risk Assessment, Environmental Management, Management of Change Products and Product Compliance modules comes under the SAP LoB or S/4 HANA Core modules. The other modules like SAP EHS Product Safety, GLM, SVT and Dangerous Goods Mgmt and Product Compliance – DI falls under the compatibility version of S/4 HANA 1909 Release. Compatibility versions are the ones which are continued to ensure business continuity and SAP will eventually may/ may not move the functionalities into core.

There are various options available when it comes to implementing the SAP EHS solution to S/4 HANA, that migrating the current ECC ERP version to S/4 HANA. Be it called side car scenario, System conversion, Landscape Transformation or even Green Field implementation. In this blog I would like to cover few basics around SAP S/4 HANA system conversion and how you can convert or implement EHS system for your client.

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It started some two years back when I started exploring Data Science (Python, R, Azure ML & Knime) to understand the new possibilities for EHS, which I slowly expanded by refreshing my IoT skills, Big Data (Hortonworks / HDInsight) & Cloud skills (AWS & Azure) and Blockchain skills. Then I started exploring various Digital Transformation books like The Digital Transformation Play book by David L Rogers and Leading Digital by HBR. After spending some two years on this topic today I am finally publishing a Not A very short video on "Digital Transformation of EHS".

Sometime back I wrote a blog on Use of AI / ML for managing Incident Management, it has received good response. I have received many requests to know in detail on how to implement the same and details surrounding it and some even requested me to share the source code. In this current blog and series of upcoming blogs I would like to share some short course on Introduction to Data Science and how it is used for managing the EHS issues. There are many relevant issues which can be solved using AI / ML, be it Descriptive Statistics, Predictive Analysis of incidents / exceptions for air permits or equipment based pollution deviations or even customer / supplier perception of the risks around the products being sold by the organization, automatic classification of dangerous goods based on past history, prediction of product compliance based on source and many more proprietary uses.

There has been some changes happening in the field of SAP EHS being it introduction of S/4HANA; S/4HANA Cloud based EHS solutions. Be it Business Suite applications or Product Compliance suite for S/4HANA Cloud, it is changing the way the EHS is working till now. In this short video I tried to give an overview on different EHS business processes covering all modules of EHS which have been introduced till date excepting for modules like SAP Carbon Impact 4.0 or Tools like Document Analyzer, Web based MSDS hosing, SAP Product and REACH compliance, CfP, Data Editor etc.

For the past many days my wife has been complaining that her sacred plant (Tulasi – Scientific Name – Ocimum sanctum) is getting dried up due to intense heat. Thanks to urban heating effect. She tried many ways of managing the plant but her busy schedule always hinder in getting real time view of the moisture level and other conditions. I was teased to find a solution to resolve this given that I spend time with IoT and Data Science or Big Data jargons. I tried a variety of tools starting with Moisture sensors, NoIR for NDVI calculation to TensorFlow based image classification to come of with solution.

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