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Industry 4.0, IIoT, and smart manufacturing are all buzzwords that we’ve been talking about for years. Many of us have had visions of factory floors run by futuristic robots and drones reminiscent of SciFi movies like iRobot. Well, it seems that life is indeed starting to imitate art; a 2021 McKinsey & Company survey concluded that many global manufacturing companies were able to keep their operations running during the pandemic, thanks to Industry 4.0. Furthermore, more than half of the respondents indicated that technology played a fundamental role in staying operational. Moreover, according to recent studies, the COVID-19 pandemic has vaulted us five years forward in digital business adoption. More and more manufacturers are considering actively adopting “lights out” factories and s...
Sourced from TTEC.com Even though data has become one of the most critically important assets in an organisation, most companies have yet to align this with their business strategies. Not doing so results in an inability to identify and prioritise the interventions needed for growth and effectively measure their success. But doing so is not without its complexities. For the most part, a data strategy comes down to identifying and understanding the data that is being worked with. Having this in place can improve the way a company acquires, stores, manages, shares, and uses data. The underlying processes and the governance involved in how all this is managed are all key components of such a data strategy. Even if this is in place, the biggest obstacle is still on how to best integrate it wit...