THE RISKS OF POOR DATA MANAGEMENT


Companies that struggle to manage their data effectively face several key risks:


1. Decision Paralysis


Too much data, if not properly structured, can overwhelm decision-makers rather than empower them.


2. Siloed Information


Legacy systems often keep data locked within departments, limiting its usability across the organisation.


3. Data Latency


Delays in accessing and processing data can lead to missed trading opportunities and increased exposure to market risks.


4. Regulatory Non-Compliance


Failure to maintain accurate, auditable records can result in hefty fines and reputational damage.


5. Inaccurate Insights


Poor data quality can lead to flawed models, incorrect forecasts, and costly trading errors.


9 | ADMISI - The Ghost In The Machine | Q3 Edition 2025


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