Returning to the key issues that IT was created to address, such as managing data, security, operations, management, and development, appears to be a clear trend these days in cloud computing. These activities have all been conducted for many years and ought to be done so right now. The problem isn’t that IT is creating and deploying significant business solutions in the cloud while disregarding the foundations. However, occasionally flashy new technologies or, more frequently, older technologies that have been designed to seem bright and fresh, can distract individuals.
Sometimes overhyped technology may be useful. Business is benefiting from emerging, creative ideas like serverless computing, artificial intelligence, and containers. Although it’s a cliche, building any construction is quite similar. Without a strong foundation, the building cannot be improved. If you don’t have a strong foundation, subsequent repairs will be more challenging. The finest illustration of this is data. Since the 1960s, we have worked with data. In contrast, most businesses readily acknowledge that they’re not handling data efficiently in 2022 and that their corporate data is only contributing a small portion of the value that it might to the company. Why haven’t we resolved this yet? Most businesses struggle with complicated and excessively diverse data management systems, which have only become worse as new methods of data storage and administration have been introduced. When it comes to reaching an optimization level where the company can use its data as a critical competitive differentiator, many IT shops consider their data situation to be “unfixable.”
So the emphasis moves on to fitting in solutions, including data marts and warehouses, informal data integration, and even hesitant attempts to create data lakes. As data storage and systems grew more sophisticated and challenging to utilize comprehensively, the majority of this work made problems worse. The underlying issue is not being resolved. Data is dispersed around the world, there is no centralized management or governance, and although you can implement certain tactical data solutions, employing near-perfect information to drive core business and analytics operations is mostly out of reach. Many people think they understand development and deployment, yet they have only moved incomplete data management practices and developer tools to the cloud.
The de facto IT strategy for businesses these days is the cloud providers, who, for their credit, have turned some attention to the basics. But they’ve done it covertly, making the essentials appear as novel concepts. Data analysis, data processing, and data governance systems are examples of new things. They address issues that are more basic in nature even if they appear fresh.
It is critical that business and IT employ a clear data management strategy and identify the right tools that help solve their specific problems. At Proxima, we have enabled our customers to deploy large data lakes which were created using a robust Master Data Model (MDM) which created a powerful foundation.