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.


It often happens that Big Data are scattered around in management systems, computer folders, Google Drive files, data collection platforms (e.g. to send emails) and other virtual tools. There are then the more critical situations where the data are stored on hard disks or USB drives, or even handwritten in notebooks and folders. The first action is to transfer, where needed, this mass of data into one or more secure databases. This is the data entry task that requires skill and attention to avoid committing errors and thwart all the efforts made. To optimize the data entry of the single profiles some very useful services are address validationname validation and also email address validation, depending on the type of data being stored. The advantage is immediately being able to verify the input data by an initial cleansing of the single records by means of automatic completion, enhancement and correction functions.


Once the first step of data input and transfer online and offline is complete, you that have to check the databases that were excluded from the control (e.g. because already in use or more recent) that also contain validated data. To do this, the simplest way is to use the functions provided by our Address4 software, in particular the mass mode indicated for controlling large volumes of data in the same archive. It is important to emphasize that, by control, we do not just mean checking the grammatical and syntactical correctness of the words: the concept of validation is much broader and includes enhancing missing data, updating obsolete data, combining duplicate records, etc., and after completing all this a detailed report will show the corrections and changes made to the database.


Once all the archives, and therefore the entire mass of Big Data, have been cleaned and updated, you then have to ascertain that the subsequent phase of acquiring addresses, names, phone numbers or other data maintains unchanged the quality standards you have achieved. It would be absurd to leave the work half done and have data that have only been verified up to a certain point. To definitively improve Big Data management the only way is to integrate a dedicated program into your applications, CRM, ecommerce or other IT systems. In the case of Address4, integration can be into a vast range of applications and environments, independently from the reference system (Windows, Linux, Unix, Iblis, Mainframe, etc.). The main ones worth mentioning are:


The last step to improve Big Data management entails exploiting and reprocessing the data in order to respond to specific needs for marketing, profiling, categorizing and so on. Similar goals require a more advanced management level that is indispensable in the cleansing and updating of your archives. Of the most requested functions, mention should be made of Area Code Locator, necessary to enhance each address with its territory code. International Address Format Validation then allows converting a simple address into its equivalent format, as foreseen by the postal system in the target country, as further guarantee of the correctness of the data you are using. Finally mention goes to Area Conversion Languages, function that enables translating the data into the destination language.

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