International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 10 | Oct 2024
p-ISSN: 2395-0072
www.irjet.net
Unlocking Performance Insights by Leveraging Both Unstructured and Structured Data Chaitanya Indukuri1, Mridula Dileepraj Kidiyur2, Shriya Agarwal3 1IEEE Senior Member, IEEE Computer Society, New York, United States 2IEEE Senior Member, IEEE Computer Society, New York, United States 3Student, University of Cumberlands, Kentucky, United States ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract - The fast-paced advancement of data analytics has 1.2 Objectives brought about a new era in how industries measure The primary objectives of this paper are: performance. This paper dives into how combining unstructured and structured data can offer deeper insights Unlock insights from unstructured data by into performance metrics. On one hand, structured data, with converting the unstructured data into actionable its neat, organized format, is easy to analyze, while and insightful metrics. unstructured data—often messy and text-heavy—presents opportunities and challenges. We review the methods to Integrate structured and unstructured data to give extract insights from unstructured data. We also review the end-users a holistic visual analysis of user processes and techniques to combine unstructured and experience. structured data and extract insights from these two data types. We do a meta-analysis of all analytical methods and list Apply AI-ML techniques on both structured and select industry case studies for extracting insights or value unstructured data to derive insights. from unstructured data. The findings show that a holistic approach to data has the potential to be transformative, Examine the implications of these methodologies offering practical insights for both professionals and and techniques for industry-specific use cases researchers.
1.3 Literature Review
Keywords: Performance Measurement, Structured Data, Unstructured Data, Data Integration, Analytics, Industry Performance
Integrating structured and unstructured data to enhance performance measurement has been an increasingly popular area of research, mirroring the broader trend toward datadriven decision-making in business. This literature review explores the historical context, recent advancements, and challenges researchers and practitioners face in this dynamic field.
1. Introduction The contemporary business landscape is increasingly datadriven, with organizations seeking to harness the full potential of available information to gain a competitive edge. Traditional performance measurement has primarily relied on structured data, which is highly organized and easily analyzable. However, the explosion of unstructured data— such as text, images, and videos—presents new opportunities and challenges. This paper investigates the methods to extract insights from unstructured data and how to integrate both data types to enhance the accuracy and depth of performance measurement across various industries.
2.1 Historical Context and Evolution The journey of structured data in business analytics can be traced back to the early days of information technology. Companies primarily relied on structured databases to store transactional data during this period. Influential works by [1] Davenport (1993) and [2] Porter (1985) were among the first to highlight how leveraging structured data could provide a competitive edge, enabling businesses to optimize operations and refine their strategies. These foundational ideas laid the groundwork for later integrating more complex data types, marking the beginning of a more sophisticated approach to data analytics.
1.1 Motivation The advent of big data has resulted in an exponential increase in the volume, variety, and velocity of data generated. Organizations now have access to a wealth of unstructured data, such as weblogs, social media posts, customer reviews, and multimedia content, which, if properly analyzed, can reveal valuable insights. Integrating this with structured data can provide a more holistic view of performance metrics.
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2.2 Advancements in Unstructured Data Analysis As the digital landscape evolved, so did the types of data businesses had to manage. The emergence of big data technologies in the early 2000s brought the challenge and
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