The Data Complexity Matrix: How to Overcome Challenges in Modern Data - Seguridad Mania.com - España y América Latina

Data environments are growing exponentially. Not only is there more data, but there are more data sources. At the same time, the value of unlocking that data and using it to make business decisions is also increasing. For the business user, understanding this complex data and unlocking its potential is the key to staying ahead of the competition. For IT organizations, complex data can be the bane of many business analytics programs, causing all kinds of trouble in data management and hindering system performance. Size of data and number of disparate data sources are two key drivers of complexity. The bigger the data, the more effort needed to query and store it. The more data sources (data tables) the more effort that is needed to prepare the data for analysis. The data complexity matrix describes data from both of these standpoints. Your data may be Simple, Diversified, Big, or Complex. When considering a Business Analytics program, different approaches are better suited for each data state.