Big data refers to data sets so large and complex that traditional methods of storage, processing and analysis cannot be applied. This presents companies with a significant challenge as they must rely on advanced business intelligence tools in order to process this information effectively.
Organisations can only achieve this when they have access to a big data platform capable of handling this type of information. By employing such an infrastructure, businesses are able to gain insights into customers and market conditions that allow for informed decisions regarding products, marketing strategies and business processes.
Planning allows companies to take a more proactive approach towards dealing with issues that may arise in the future, helping to minimize disruption and prepare for unexpected events that may occur - saving money while appeasing customers and making their businesses more efficient in turn.
Data sources can include both structured and unstructured sources. Examples may include customer databases, email messages, documents, medical records, internet clickstream logs or sensor data from manufacturing machines or industrial equipment.
Big Data Analysis Production The volume of available big data can be immense, with an estimated daily production rate estimated to reach several terabytes. Businesses needing to keep this information safe must ensure there is adequate capacity in place to store and access this vast pool of information quickly when required.
Businesses' ability to quickly receive and analyze the data that they generate is of great significance as certain forms of information may be more beneficial when provided immediately - for instance a retail company would benefit greatly if it could identify which shoes were out-of-stock in seconds instead of days or weeks.
Big data poses companies with an enormous challenge when it comes to managing its varied sources. Visualization tools must accurately and reliably display all this information for users to make sense of it all.
Solution for this problem lies in adopting a centralized big data analytics solution capable of storing and analyzing all this information in one central place, so users can access this knowledge from anywhere within their businesses and incorporate it into daily workflows.
Visualization Humans possess an innate capacity for processing visual information, which can be leveraged as an effective method for presenting and analysing large datasets. A variety of charting techniques may also help present data more visually.
Linear charts are typically employed to display lists or their values, while 2D/Planar/Geospatial and Temporal charts may be utilized to show relationships among different elements within a data set. Pie charts can help show an abundance of different elements within one graph while bar charts allow comparison between variables in an easy manner.