Database Generation

At iHostGhana we are able to generate databases of any size, type and for any purpose as per the requirement of our clients. The databases are generated from different sources and are available in different templates and it becomes pertinent to process the same to make it usable. For this we allow the databases to pass through Data Standardization – Data Cleaning – Data De duplication – Data Validation services to transform raw data into meaningful and usable information.

Data Standardization

Data is collected from different sources and is available in different formats. This means that any processing on this data is not possible unless the structure is uniform. Standardization ensures portability of data within various departments of the same company. A more simple reason for standardization is the ease in usage of the data by its users, faster modification and processing of data.

Data Cleaning and De-Duplication

Data is collected from various sources and entered into various formats. Chances are that some errors (salutation, spelling, formatting, duplication etc.) may occur while entering this into a given format. Therefore, it becomes extremely important to remove all possible discrepancies so that the data is usable and is void of any duplication.

We provide cutting edge data cleaning services to our clients in order to ensure the accuracy of the information in hand. We follow a process called SIPOC (Supplier – Input – Process – Output – Customer) in which the data goes through a machine match followed by phonetic match and manual eye balling.

Data Validation and Update

In this era of the information age, huge amount of data gets accumulated on a daily basis. Thus it is very important for organizations to update and manage the information regularly.

Research studies indicate that the rate of content decaying in a database averages up to 20% every year. This not only makes the database inaccurate but also affects its efficiency and productivity. Constant validation and updating of data plays a major role in database management.