Data entry is a simple task but it is by no means cheap. Entering thousands of data elements in the form of addresses, profiles or contacts can be extremely costly, especially in the long run, which is why it is important to find a high-performance work system. Although manual data entry is still prevalent and in some way to be expected for data entry, cost reduction remains an objective for everyone, especially businesses and companies that want to optimise costs without sacrificing quality. In fact, we mustn’t forget that the best data entry method is not the one with lower costs: it is the correctness and validity of the entered data that makes a difference, after which they must be cleansed of any errors or omissions.
With this in mind, in order to ensure profitable data entry it is also necessary to take other aspects into consideration, such as the speed of the process (faster when corrections are not necessary), or auto-completion of certain operations, seeing the geolocation of data on a map or the association of a home address with an area code, a province, etc. In this article, we take a look, step by step, at 5 helpful tips to limit data entry  costs and achieve superior results in terms of data quality, even for large volumes of information and without the need of external support from a  technician.

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To improve Big Data management means you guarantee your company (or your job) tangible advantages on all fronts. By applying correct Big Data management – be it postal address files, user profiles, or other data – you can streamline the decisional procedures, precisely define your targets, access new business opportunities, all without errors, omissions or wasted time. The longer-term potential from this type of investment is enormous: it could be to reorganize your current customer database or send products purchased from the company website anywhere at home or abroad (therefore, know the exact dispatch address in near and distant countries), the effectiveness of the various activities mainly depends on the quality of the data you have availability of.

Many studies are conducted on company efficiency. Whether they are carried out in a university or Research & Development environment, the end results show that company efficiency is an extremely important objective, on which the well-being and success of a business, big or small, depends. Pursuable on several levels, both microscopic and macroscopic, company efficiency involves different spheres that include energy management, resource optimisation and data quality. In fact, data quality is one of the cornerstones of modern business management: in an era dominated by data analysis and storage software, having computer programs that can manage names, postal addresses, etc., means being able to take full advantage of the potential of the resources in your possession (time, energy, human capital and money).

Data quality control is one of the most difficult challenges for today’s large and medium-sized enterprises. Just managing the names of suppliers, or of customers in contact with customer care is overwhelming, not to mention the latest developments over recent years, newsletter subscribers and company blogs, for example. Different groups, yet united by the same characteristic: their importance to the company. The supply of spare parts, materials and products, in fact, depends on suppliers. Likewise, the brand’s reputation, and therefore the company's image in the public eye, depends on customer service. The same goes for the many people who follow the company and are registered on the official website: these people represent a company’s most important customer base. This set of contacts must be organised with great care, so as to obtain top quality data.

There are numerous ways to do geomarketing: some are very important because they help us find new customers, others help make work easier because our data is organized better. In all events, we can always gain effective advantages in several fields, from time saved to reduced costs. Just think of what it means for a company or professional to have to manage thousands of addresses linked to likewise customer names, and not have any idea where they are situated geographically. When we need to mail promotions, for example selling pellet stoves, we have to calculate where the customers are located to ensure perfect timing in relation to the climate.