GOAL-Toolkit Based Ontology for Information Entrepreneurs to Evaluate the Goals Achievement: A Research Plan

Research Issues

Today people have access to more data in single day than most people that have access to data in the previous decade. Big data provides significant opportunities for enterprises to impact a wide range of business processes in the organizations (Bihl, 2016). Organizations create huge amount of data in their daily business activities. The problem is this data is created and found in many different forms. All this data captures in different formats and makes it almost impossible to understand the existing relationship between different data. As a result, this data might be redundant with huge volume of data and make it hard to identify which data is relevant to the goals. Although big data does not refer to any specific quantity, this data might create petabytes and exabytes of data, much of which cannot be integrated easily. For example, government agencies and large, medium and small private enterprises in many domains, such as engineering, education, manufacturing, are drowning in an ever-increasing deluge of data. Companies like Google, eBay, LinkedIn, and Facebook were built around big data from the beginning (Davenport & Dyche, 2013).