Data risk refers to the potential negative impact that can arise from poor data governance, inadequate security controls, inaccurate data, or failure to comply with data protection regulations. These risks can manifest in many ways financial losses, reputational damage, legal penalties, operational disruption, and loss of customer confidence. As organizations adopt cloud platforms, AI systems, and advanced analytics, data flows across multiple systems, geographies, and partners. This complexity increases exposure to risks such as unauthorized access, data leakage, inconsistent data quality, and unclear ownership. Managing these risks requires a structured and continuous approach rather than ad-hoc controls. For more - https://www.tejasviaddagada.com/books-publications

Many organisations invest in Master Data Management (MDM) expecting better data quality and business outcomes, but struggle to achieve measurable ROI. The main reason is a lack of clarity on where they currently stand and what to improve next. This is where an MDM maturity assessment becomes critical. See more https://4dalert.com/strategy-playbook/

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