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Have you ever stared at a screen filled with spreadsheets containing thousands of rows of data, feeling dizzy and confused about what decisions to make from there? You are certainly not alone. Today, many companies collect data like hoarding treasure in a pitch-black warehouse, yet they lose the key to open its doors. Abundant data often becomes an operational burden if left to pile up aimlessly. You might know last month's sales dropped,...

Have you ever experienced a logistics nightmare where goods were held up at customs or payments were rejected by a client simply due to documentation issues? These situations often occur due to fatal errors in distinguishing between a Proforma and a Commercial Invoice—two documents that look similar at a glance but possess contradictory legal powers. Many professionals still consider them interchangeable, even though if we use an analogy, a...

Running complex analytical queries on an operational database (OLTP), only to end up with a system time-out right before the board of directors' performance evaluation meeting begins. For data engineering teams and IT leaders, trying to integrate petabytes of data from isolated CRMs, ERPs, and various APIs (data silos) is a daily nightmare that massively drains server resources. Merely piling up big data on a server will not provide an ROI...

We are currently in a digital era where data is dispersed across various systems and platforms, both in the cloud and on-premise. For companies especially, data that is scattered without clear context becomes difficult to fully utilize. Thus, the primary challenge is how to manage this dispersed data so that it remains relevant and easily accessible to the various stakeholders who need it. This is where SAP Datasphere emerges as a solution...