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Unify your operational data in real time. SAP BDC Connect for BigQuery provides a zero-copy architecture to help you lower IT costs.

Teams have more dashboards than ever. They also have more dashboard fatigue. Metrics are easy to display. Decisions are harder. A chart can show a drop in revenue, but it rarely tells a product leader what to do next. That gap is why many teams stay stuck in review mode instead of action mode. This is where decision-centric analytics changes the pattern. The goal is not more visibility. The goal is faster recognition, better understanding, and clear follow-through when something changes.

In 2026, asking a BI tool, “What happened to revenue last quarter?” feels almost effortless. That ease is the appeal of conversational analytics. It turns plain language into charts, metrics, and short explanations. It sits inside the broader world of augmented analytics, where AI helps people ask better questions and move faster. But speed can hide problems. If the metric is vague, the calendar is wrong, or access rules are loose, a fast answer can still be the wrong answer.

In volatile markets, a KPI dashboard that only tells you what happened last week is already too late to guide confident action. Many companies have dashboards. Fewer have KPI systems that help them spot revenue shifts, retention risk, margin pressure, or supply-chain trouble before those issues hit the business hard. That gap is where augmented analytics comes in.

Implementing a PXM solution provides numerous benefits to your organization, from improving efficiency to increasing sales, reducing returns, and promoting customer loyalty. Today, we’re going to explore these benefits in more detail. Interested in the distinctions between PIM and PXM? See our breakdown of how they differ (but are also similar) here.