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In essence, it’s the foundation for user-centric data analysis in modern apps, because it’s the layer that translates technical assets into business-friendly terms that enable users to extract actionable insights from data. The scope of dataanalytics has grown, and more user personas are now seeking to extract insights themselves.
With the introduction of Artificial Intelligence and Machine Learning, as well as data visualization tools, designed for charting, dashboards and performance scorecards. The emergence of Big Data and Bring Your Own Device (BYOD) has become popular as users share, communicate and collaborate using cloud-based platforms and networks.
With the introduction of Artificial Intelligence and Machine Learning, as well as data visualization tools, designed for charting, dashboards and performance scorecards. The emergence of Big Data and Bring Your Own Device (BYOD) has become popular as users share, communicate and collaborate using cloud-based platforms and networks.
How Can Technology Solve These Challenges Technology can solve these FP&A challenges by offering advanced dataanalytics capabilities for precise forecasting, ready-made, customisable templates for consistent reporting, unified platforms for non-duplication of efforts, and inbuilt AI capabilities for financial planning.
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