Mol and cloud comput over the next

Categories Knowlge base Business case studies e-commerce. Infographic market news Customer service Telemarket Latest entries How to use the. Potential of SMS in sales and service processes in times of crisis? How much does the lack of analytics cost you in the. Customer service partment? Customer Success – what is it? How to talk to the client – the best advice reasons why your business should have a PBX The world is inseparable from data. From historical documents, books, to data that allows you to prict the weather or us by scientists in almost every field of knowlge. However, in the st century, data relat to business, entertainment or social mia is generat at an alarm rate. Meet Focus Contact Center a comprehensive communication platform in the cloud.

This is confirm by forecasts indicat

That their current daily increase may exce what. Humanity has produc throughout its history (includ the th century). Forrester Research, on the other hand, estimates that currently the amount of data collect is about . zettabytes, and projections for Ecuador Mobile Number List growth. Will start to meet Moore’s law in the next few years. Data creation machine Everyth we do online, includ us social network sites, chatt, tweet, send emails, brows online resources or sett up accounts and mak purchases in online stores, results in the collection of large amounts of data. This information must be record and analyz upon request.

Phone Number List

The login systems themselves generate

On the server si, a lot of “minor information” by enter the user’s website. For example, a small website visit by several hundr users a day can generate several. Hundr MB of text data in one day. Within a month, it is several GB, and after several years of BTC Database EU existence of a constantly velop service, the collect data can even be count in TB. Data to store Let’s be honest – we’ve never had as much data as we do today. Processes relat to their process, storage, management and distribution are a serious technological challenge. With the increas amount of data (most of which will never be us anyway), we ne technology that efficiently and quickly processes and analyzes such large collections. And we have her! And it is hidn unr a rather catchy market term – Big Data.

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