Big data is a concept that has come to life in the last fifty years and now we finally have the means to make sense of it. Even over the last decade, since about 2005, a micro SD card went from holding 128 megabytes to 128 gigabytes. Today we have so much power that we can not only collect massive amounts of data but process and analyse it too. Because after all, what is the use of data if it cannot be analysed?
What is big data?
Big data is generally defined as data sets that are so large that traditional data processing application software cannot make sense of it. The challenges faced by those who work with big data can include:
- Data capture
- Data storage
- Data analysis
- Searching data
- Transferring data
- Visualising data
- Querying data
- Updating data
- Privacy of information
Big data has also been defined by the four Vs: volume, velocity, variety and value. All of these qualities are useless if you do not have a platform to analyse it.
How do you use big data?
People have been making incredible innovations since big data became so big that it needed a new definition to describe the interpretation thereof. Qlik® provides a platform for your data to undertake the challenges mentioned above.
The Qlik® Analytics Platform provides a way for big data to be used in order to reduce costs, allow for better decision making and gauge customer satisfaction with products and services. This single platform for all you data that can be accessed from any device or app means that you have constant access to your data and its analytics.
Qlik® creates visualised data to enhance the user experience. This means that data can be grouped and analysed through a series of filters and processes to eventually be presented visually in an easy-to-understand format – which is useful no matter how much data analytics experience you may have!
You can even create or reuse data models in order to build your own solutions. For a way to manipulate big data to work for you instead of the other way around choose Qlik®. This is a quick and easy means of tackling all of your big data challenges.