How do I validate an international address?

How do I validate an international addressEcommerce administrators, research companies, web developers, digital marketing agencies … There are many businesses and professionals who ask themselves the daily question: how can I validate an international postal address? The answer is actually not so obvious.

An international mailing address often represents a nucleus of little known information and therefore difficult to decipher, especially for those who are not familiar with the language of the target country of the shipment. After all, the language is certainly not the only barrier that the less experienced have to face. The difficulties of validating international addresses are of at least three types, all equally important:

  • Different formats

The format of a postal address corresponds to the layout and type of the various records. Name and surname of the addressee, street or square, street number, area code, town, country … these items can vary a lot from one country to another, both in their sequence (logical order), and in the way they manifest themselves (whether they exist or not). International address validation software, as we will see shortly, is able to convert the address format from country A of origin to destination country B, verifying at the same time that the quality requirements of a cleansed address are respected (update, completeness, consistency, etc.).

  • Language differences

Another great obstacle for those who do not possess the necessary skills is inevitably linked to the language. The international address must in fact be written correctly, in accordance with the grammar and vocabulary of the target country. Accents are very important in this sense: a simple forgetfulness can give rise to misunderstandings that make shipping to the recipient vain, with obvious negative repercussions in terms of budget and result. The language must therefore be managed wisely, without improvising oneself as translator and without thinking that an address written in the source language may lead to a secure sending of the correspondence.

API Address Validation for shipments, routes and more

Address Validation APIThe possibility of a wrong shipment should be taken seriously by any business. It is not just about sending an order to a customer or a partner and missing the delivery due to an incorrect address. These scenarios are rare, but possible. The most tangible risk is the approximate management of postal, communication and logistics procedures. For example, due to a delay linked to the search for the correct address. Often a different house number is enough to create a problem for a deliveryman or a trucker. Imprecision is undoubtedly the worst enemy of those working in the shipping field. This is why there is special software for postal address validation. And that’s why this software can be integrated into business applications via API.

In international jargon we speak of API address validation in reference to the set of tools that allow us to satisfy this type of requirement by means of a web service interface. It goes without saying that there are multiple versions of API for address normalization, from those that can be integrated into e-commerce to suggest the correct address to customers when purchasing (and avoid unpleasant delays, returns, etc.), to the address validation APIs for business applications, able to validate and correct the addresses of existing databases. Shipments and search for roads remain the main objectives of API address normalization, but the features offered by a web service of this type go further. Let’s see in detail the services that can be activated with API in a business application.

Master Data Management (MDM): the indispensable tools

Master Data ManagementMaster Data – either IT data or other data – is the most precious intangible assets of a company; that is why the Master Data Management (shortened in MDM) is the best management and treatment system available on the market. We are talking about a sector of advanced corporate governance that includes both multinational holding companies and medium and large size companies. Indeed, any medium and large companies can take advantage of adopting an efficient strategy of Data Master Management. This advantage will be greater and greater because of the exponential growth of the IT systems and the volumes of data that is collected by manual activities (i.e. call centers, data entry, etc.) as well as automatic or semiautomatic activities (i.e. funnels, newsletters, landing pages, etc.). Data comes from different channels, therefore we should not think of Master Data Management as something that concerns the Information Technology only. The advantages, as it will be given in this article, are real only if we consider all the involved variables.

Databases of loyal customers, personal details of suppliers and partners, lists of data relevant to the economic resources of the company (from the marketing budget to the purchasing costs of materials)… All these activities require management as integrated as possible as well as fast, precise and intuitive so that they don’t have to be dealt with by a team of experts but by a group of people that will be trained and updated properly. That is the only way to achieve a higher competitiveness in the business where the company operates, reducing wasted time and money and improving performance and the capabilities to cope with the challenges of the modern market. Let’s see the tools you need so that your Master Data Management satisfies your expectations.

5 tips to reduce the costs of data entry

data entry validationData 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.

How to improve Big Data management in 4 simple steps

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.

For these and other reasons, it is fundamental to know how to manage your Big Data with cutting edge IT tools, the only ones able to guarantee results that satisfy your expectations.

This article explains how you can improve your Big Data management in 4 simple steps.

Let’s start from the first step, collecting the data you need.