Big Data Challenges In Modern Organization

Abstract

In Today's Digital Environment, Businesses Create And Engage With Previously Unheard-of Amounts Of Data Via Social Media Sites, Business Apps, Sensors, Consumer Transactions, And Linked Gadgets. Organizations Have A Lot Of Opportunity To Improve Decision-making, Streamline Operations, Create Products, And Gain A Competitive Edge Thanks To This Explosion Of Data, Often Known As Big Data. However, The Effective Use Of Big Data Is Constrained By A Number Of Organizational, Administrative, Ethical, And Technical Difficulties. Due To Significant Issues Such Data Storage And Scalability Limitations, Integration Obstacles Across Diverse Sources, Low Data Quality, Security Flaws, Privacy Concerns, And A Shortage Of Experienced Data Specialists, Organizations Are Still Unable To Fully Leverage Big Data Capabilities. The Intricacy Of The 5Vs Of Big Data—Volume, Velocity, Variety, Veracity, And Value—makes Managing Such Vast And Diverse Datasets Much More Difficult. In Order To Provide A Thorough Theoretical Understanding Appropriate For Both Academic Research And Real-world Application, This Study Attempts To Investigate, Evaluate, And Categorize The Main Big Data Difficulties Faced By Contemporary Businesses. The Abstract Emphasizes How These Issues Affect Strategic Planning, Technology Investment Choices, And Organizational Performance. The Study Also Looks At The Consequences For Long-term Sustainability, Resource Optimization, And Data Governance. The Article Summarizes Current Problems And Pinpoints Areas Where Organizations Face The Greatest Challenges Through A Methodical Study Of The Literature. To Tackle Big Data Obstacles, The Results Highlight The Necessity Of Strong Data Management Frameworks, Greater Security Measures, Improved Workforce Competencies, And More Stringent Governance Regulations. In The End, This Study Provides Fundamental Knowledge For Next Research On Organizational Data Preparedness And Digital Transformation, As Well As Insightful Information About The Changing Complexity Of Big Data Management.

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