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Get the best value from your data by reducing risk and building trust

CIO Business Intelligence

Data privacy is the control of data harvested, stored, utilized, and shared in compliance with data protection regulations and privacy best practices. Data privacy encompasses controlling data from unauthorized access, obtaining consent from data subjects as required, and ensuring data integrity.

Risk 75
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Exercising Control Over Transfer Pricing: How to Avoid Risks at Year-End

Jet Global

Managing Data Integrity. Before rolling the new process out, the company needed to address data integrity, a normal stage in any new software implementation project. Following the data integrity phase, the company focused on setting up the correct processes and on rightsizing the project.

Risk 98
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Key Insights: Forrester’s New Data Governance Solutions Landscape

Alation

It’s true that data governance is related to compliance and access controls, supporting privacy and protection regulations such as HIPAA, GDPR, and CCPA. Yet data governance is also vital for leveraging data to make business decisions. Data privacy and protection. Risk and regulatory compliance.

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Financial planning & budgeting: Navigating the Budgeting Paradox

IBM Big Data Hub

Unanticipated risks Good budgeting plans for risks. Using an old budget can result in inadequate hedging strategies, poor financial decisions, exposure to unfavorable currency fluctuations or misjudged credit risks. Since data from different sources is instantly merged and processed, delays become a thing of the past.

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Unified Data Clears the Roadblocks of Your Hybrid Cloud Journey

Jet Global

Reasons for Lingering On-Premises Many companies are willing to experiment with the cloud in other parts of their business, but they feel that they can’t put the quality, consistency, security, or availability of financial data in jeopardy. Thus, finance data remains on-premises.

Finance 52
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Data Prep for AI: Get Your Oracle House in Order

Jet Global

Finance has always been considered risk averse, so it is perhaps unsurprising to see that AI adoption in finance significantly lags other departments. This untapped potential suggests a significant opportunity for those willing to embrace AI and gain a competitive edge through intelligent automation and data-driven financial insights.

Finance 52
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Are Data Governance Bottlenecks Holding You Back?

erwin

However, organizations still encounter a number of bottlenecks that may hold them back from fully realizing the value of their data in producing timely and relevant business insights. Automate code generation : Alleviate the need for developers to hand code connections from data sources to target schema. 23rd at 3 pm GMT/10 am ET.