Material management is a scientific technique that is concerned with Planning, Organizing and flow of materials from their initial purchase to destination.
Art’s ‘Material Management Services’ includes following Data Management Operations:-
Data cleansing / data scrubbing is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database.
It is the process of analyzing the data by experts to identify the content, structure and the quality of the data.
It is the process of removing redundant data. Here duplicate data is deleted, leaving unique copy of the data to be stored. This improves data protection, increases the speed of service and reduces the overall costs.
It is a crucial process where the data is defined, formatted, represented and structured in all data layers. Development of schema or attributes is involved in this process. Data standardization helps in achieving better results in further steps down the road.
It is the systematic process to ensure the data structure is suitable or serves the purpose. Here the undesirable characteristics of the data are eliminated or updated to improve the consistency and the quality. The goal of this process is to reduce redundancy, inaccuracy and to organize the data.
QC is done to reconfirm the accuracy of data in all stages and at the end of the process by data experts.
Is the process in which ideas and objectsare recognized, differentiated and understood. Categorization implies that objects are grouped into categories, usually for some specific purpose. Ideally, a category illuminates a relationship between the subjects and objects of knowledge.
Database normalization is the process of organizing the fields and tables of a relational database to minimize redundancy and dependency. Normalization usually involves dividing large tables into smaller (and less redundant) tables and defining relationships between them. The objective is to isolate data so that additions, deletions, and modifications of a field can be made in just one table and then propagated through the rest of the database via the defined relationships.
Querying and manipulating the data within an unnormalized data structure, such as the following non-1NF representation of customers' credit card transactions, involves more complexity than is really necessary:
To each customer there corresponds a repeating group of transactions. The automated evaluation of any query relating to customers' transactions therefore would broadly involve two stages:
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Our goal in materials management is to provide an unbroken chain of components from production to deliver on time for the customer base. The material department is charged with releasing materials to a supply base, ensuring that the materials are delivered on time to the company using the correct carrier. Materials is generally measured by accomplishing on time delivery to the customer, on time delivery from the supply base, attaining a freight budget, inventory shrink management, and inventory accuracy. The materials department is also charged with the responsibility of managing new launches.
The effective materials management plan builds from and enhances an institutional master plan by filling in the gaps and producing an environmentally responsible and efficient outcome. An institutional campus, office, or housing complex can expect a myriad of benefits from an effective materials management plan. For starters, there are long-term cost savings, as consolidating, reconfiguring, and better managing a campus’ core infrastructure reduces annual operating costs. An institutional campus, office, or housing complex will also get the highest and best use out of campus real estate.