The Evolution of Data Applied To Mobile

Data and mobile are two big aspects of the technological evolution which has happened in the recent past. With big data dominating specific sections of business (ranging from marketing to pure lead generation), it’s mandatory to analyse its growth within the mobile sector, as it’s very likely to become one of the biggest subjects of this 2020. The combination of SQL-related features, combined with the fact that many, many programming languages are moving mobile features towards desktop, therefore increasing the potential, in usability, of these architectures, has led mobile to a whole new level. Let’s analyse this in more detail.

What’s Data In 2020?

As mentioned above, data has changed massively in the past couple of years. What was once just related to manually acquired numerical values (gathered via surveys, email marketing and such) has evolved towards dynamic ones like big data, data points and similars. Data in 2020, when it comes to its analysis and development, is very much relying on a combination of both these two: whilst email marketing data is mainly used to analyse certain customer service-related features, big data strategies can be applied to everything from digital marketing (with personalization related features and social ads targeting) to web development infrastructures (it’s possible, in fact, to implement SQL into native applications).

The Market Value

The market value for data-oriented strategies has definitely grown in the past couple of years. Especially on mobile, data organizational processes were implemented in a variety of different architectures. Some app developers in the UK, for example, have used data-related architectures in order to improve their user experience, automatically. The market value for data-related technologies currently fluctuates at around $2 billion and, given the signals which are coming from Silicon Valley, it’s definitely very likely to grow even further.

Compiling data features on mobile is relatively simple nowadays, given how powerful hardware has become. The processing power of iPhones and Android terminals has definitely grown in the past and offers almost the same features as a desktop.

Localized Features

In big cities, like London, for example, having apps who automatically recognise where a user is from may be very, very powerful. In fact, data-localization within apps has become quite a common practice: a company who focuses on app development in London has stated how impactful the usage of localized data has been within sectors like hospitality, for example. Localization with big data or by simply using external APIs (mainly Google’s) has become extremely common in many industries and, with Tensorflow-based tools, is very likely to grow even further.

To Conclude

Data and mobile are an extremely big powerhouse and the subject is very likely to grow even more throughout the whole year. At this stage, if you’re looking for an app for your own business, then you should keep at least one of these in mind. Having a proper data strategy into place is the foundation for a successful build in 2020 (and beyond), so keep this info in mind!

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