The proliferation of data from sources such as customer interactions, social media, sensors, and IoT devices has created a data deluge that organizations struggle to manage effectively. Traditional methods of data analysis, such as manual data entry and spreadsheet-based analysis, are time-consuming, error-prone, and ill-equipped to handle the volume and complexity of modern data sets. As a result, organizations are often unable to extract actionable insights from their data in a timely manner, hindering their ability to respond to market dynamics, identify opportunities, and mitigate risks.
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The proliferation of data from sources such as customer interactions, social media, sensors, and IoT devices has created a data deluge that organizations struggle to manage effectively. Traditional methods of data analysis, such as manual data entry and spreadsheet-based analysis, are time-consuming, error-prone, and ill-equipped to handle the volume and complexity of modern data sets.