**1. Introduction**

Time has changed for the production organizations who believe keeping messy data saves their day. This messy data is in the dataset, which is stored in databases, repositories, and data warehouses. Massive amounts of data are available on their resources for the organization to influence their strategic decision. Data collected from various resources are messy, and this affects the quality of the data result. Data preparation offers a better data quality, which will help the organizations yearly, making most existing methods no longer suitable for messy data.

The growing enthusiasm of messy data on the dataset for data-driven strategic decision-making has created the importance of preparing data for future use over the years. The rapid growth of messy data drives new opportunities for the organization and processing the quality of the data by cleaning and preparing data becomes essential for analysts and users. Unfortunately, this could be handled correctly as reliable data could lead to a misguided strategic decision.

Data mining is no longer a new research field [1]. It aims to prepare data to improve data quality before processing by identifying and removing errors and inconsistencies on the dataset [2]. Data mining can pull data to prepare it to inform organization strategic decisions. However, preparing data can be used before for specific organizational purposes.

Data mining could be added to a single application to pull anomalies within a large dataset. Utilizing the software arranges data in the large dataset to develop efficient organizational strategies. Data mining software is a user-friendly interface that allows organizational analysts and users who may not be technically advanced to execute data preparation in data mining [3]. Putting this capability in the hands of the nontechnical user allows responding to data quality issues quickly.

Data preparation is the feature within data mining; it has immeasurable value working with data [4]. Utilizing the software will begin to embed within the organization. Data mining software is available on the market for an organization to use their data in the dataset. Thus, markets are different from a decade ago due to rapid change in the world economy and technological advancement. This technology is popular with marketers because it allows analysts and users to make smart strategic decisions. It enables better development of market strategies for competitive advantage ahead amongst organizations. As vendors continue to introduce solutions, the marketing strategy improves the data quality of the dataset stored in their resources. With data mining, analysts and users can access the dataset in preparation for it to be available for future use.
