Think about the time it takes a 1 second. That’s enough time for 52,196 people “Like” Facebook posts, publish 700 photos on Instagram, do 4000 Google searches and publish about 6,000 tweets. The information society is generating more and more data each day and this giant volume of data sometimes becomes a problem for companies. More and more companies are wondering how to handle so much data. In this article, we’ve provided you with some essential tips to best handle your business data!
Cloud storage is one of the great allies of the so-called Big Data because storing information in the cloud makes it easy to process the excessive data volume and greatly reduces technology costs. The cloud guarantees that you can consult your data whenever you want and that no information is lost. Despite the mistrust with which this technology was received, it is now widely accepted and has already been proved to be one of the most secure ways to store information.
Analyze data in real time
One of the great problems of the excessive amount of information we have to deal with on a daily basis is the inability to keep up with everything that goes on. Information comes from a variety of sources, which complicates data analysis and decision making. Fortunately, nowadays it is possible to analyze data in real time in a very simple way, thanks to business monitoring systems such as Multipeers. This tool presents information of the company coming from all sources of information in a simple and concise dashboard, thus enhancing a quick and conscious decision making. It also allows the configuration of business alerts, so the manager/entrepreneur will always know what is happening in a timely manner.
Many companies save more than one copy of the same data, creating countless files and taking up unnecessary space. So-called “deduplication” reduces data by eliminating repeated files. In this way, it will optimize the storage space and you will be able to gain space to store truly important information.
Choosing the ideal data architecture
Each business has its specifics features and not all will work well with the same data architecture. Choose the optimal option from the beginning to avoid upgrades and data migration. Focus on the advantages your choice will bring you in the long run and do not focus on simplicity or short-term benefits.
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