Digital Transformation Journey

Automation and Digital transformation have gone from slogan to a necessity in manufacturing and it all starts with gathering data and understanding where it is needed and what technologies can help maximize return on investment. Now manufacturing has realized it’s a “must have” if they want to stay in business. But this does not mean that digitization, digitalization, and digital transformation is new to them. The truth is that that they have been laying the groundwork for this over the course of several years. They may not feel that they have a full-blown smart factory in place just yet because of some outdated processes layered over that groundwork. But the basics are there, it’s all about roots. That’s why it makes so much sense for them to embrace all 3 D’s – digitization, digitalization, and digital transformation.   Here are few key elements of 3 D’s they always have in their back pocket – Common Sense: Manufacturing & common sense have always gone hand i

In this fast-moving world Digital transformation has turn out to be a global trend, and almost every big and small company is heavily investing in this area. As per the survey of IDC, by next year that is 2023, the digital transformation market is likely to reach $6.8 trillion and 75% of the organisations will have thorough digital roadmap in place. But you will be surprised to know that with so much at stake to build digital capabilities that drive customer centricity & productivity, 70% companies fall short of their objectives. They are failing badly in their digital transformation initiates – this group include not just troubled companies, even top performers, market leaders, and investor favourites are also part of the same. When Harvey Nash / KPMG done a survey, they concluded that only 41% of the companies have an enterprise-wide digital strategy and only 18% of them rate their use of digital technology as “very effective.” Someone said

Automation and transformation have become one of IT’s dynamic pair: Where you see or hear one, the other seems sure to follow. They both are often discussed in the same breath, but do they always go together? They’re certainly linked by their priority and popularity in IT and business circles. Both have been atop the strategic roadmaps of leaders for years now. Let’s first try to check the relationship in clear definitions. Digital transformation is nothing but is the integration of digital technology into all areas of a business, primarily changing how you manage and deliver value to customers. It’s also a cultural change that requires organizations to constantly challenge the status quo, experiment, and get comfortable with failure. Whereas IT automation or automation or BOT’s, sometimes referred to as infrastructure or process automation, is the use of software to create repeatable instructions and processes to replace or reduce human interaction with IT systems. You can have a

In part I of this series, we have gone through methods of data capturing. In this part let's explore why and how to automate the captured data. Data automation is considered vital for business sustainability. Entire business ecosystem is built on a foundation of data that is always changing. That data is housed across and used by many distinct systems across organization. The efficiency and effectiveness of business operations heavily rely on how easily data can be collected, updated, and passed between systems. According to the International Data Center (IDC), the global data sphere is expected to grow to 163 zettabytes by 2025. That’s equivalent to 163 trillion gigabytes, or ten times more than the amount recorded in 2016. That’s a lot to deal with, isn’t it? This is where data automation comes to your rescue! So, what is data automation? In a very simple language, we can say - It’s the use of technology to automate the way we collect, updates, processes, and stores data. B

Data automation is the process of updating data programmatically. Automating the process of data handling is important for the long-term sustainability of any data program. There are three common elements to data automation: E xtract, T ransform, and L oad. E xtract : the process of extracting your data from one or many sources’ systems Transform : the process of transforming your data into the necessary structure. Load : the process of loading the data into the final system. In these three parts of write-up, first we will take up how to extract the data or methods of collecting the data before diving into the technical nitty-gritty of data automation. Having a complete clarity beforehand about all the three elements will help you to pick the right process and engage the right people at the right time within your project management initiate. In general Data capture is the process of extracting information from a source and converting it into data readable by a