Well into the new century, ERP systems (like Oracle, SAP, and others) and huge data warehouses supported by analytics such as OLAP, SAS, and many more were, indeed, running most large enterprises. At a high cost, yes. And difficult to change, yes. However, the benefits of the high costs were defendable, if you ask me. Externalities happened israel whatsapp number data in the beginning of this century, such as the growth of market-based investment thinking (new liberalism), a new macropolitical situation with a strong European Union, and key roles for China.
Globalization of enterprise activities happened quickly and continues today. This made the enterprises a whole lot more complex, coming out of mergers and acquisitions, conflicting product lines, contradictory business rules, etc. There was/is high pressure from investors requesting significantly shorter ROI cycles. Politics, ideology, and tumultuary dynamics all influenced what was traditionally conceived as (management/computer) science.
The success of large tech companies like Yahoo, Google, etc. in handling “big data” created ambitious expectations of “technology to the rescue.”
Consequently, technology was where people looked for solutions – think NoSQL, functional programming, and the “modern data stack.” Storage was now easy and cheap, whereas “computing” was just as cumbersome as before. AI became more powerful (yet still very expensive in computing costs and environmental consequences).