When the same ERP system runs across India, Europe, Thailand, and the UK, data structures still differ wildly, breaking real-time reporting. A data lake consolidates these sources into one platform where consistent reports and visibility finally work.
Yes, this this can become the biggest bottleneck when it comes to the smooth orchestration, especially on the digital platform. So one way of and we we cannot deny that the data sources will not be uniform are currently in current stage. That is a stage when you achieve through some concerted effort. So one way of getting the over this problem is to create data lakes where all the data are fetched into a middleware in a unique plat— in a way which— in which all the kind of reports and the visibility and real-time information can be generated correctly. So that is one solution which is used in most of the countries, most of the companies where the data sources are vary. For example, from my previous company's example is that we have our operations in India, in Europe, in Thailand, in UK, and everywhere the data sources are— even if the ERP system is same, the data structure is not same, and some of the data and, and at not at the same level of maturity.
