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Excel turned 40! After decades of analyses with spreadsheets, promises of faster insight are still a mirage; pitfalls and biases of data interpretation and misleading decisions still persist. Organizations pour multiple years into building Business Intelligence dashboards, Data engineering and automation processes, big data tools and still mission-critical decisions are hard to make and rarely translate into action-oriented insights.
While collecting massive data has unlocked powerful 'needle-in-a-haystack' insights, the process is often plagued by frustrating delays that impact time-to-market.
1. Fraud analysts remain perpetually one step behind detecting sophisticated fraud schemes.
2. Healthcare Analysts struggle to spot early warning signals buried in patient data.
3. Supply chain Leaders find themselves reacting to disruptions already cascading through their supply networks.
The promise of instant, data-driven action feels more like a mirage than reality to many.
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