Managing Big Data
Big data is the term used to refer to processes that extract value from a set of data. This data can be used to reveal patterns, trends and associations which will then help businesses to make more informed and potentially better decisions. Big data is so large and complex that traditional processing applications are unable to cope.
What big data means to businesses
Increasing the quantity and quality of data can make huge differences to organisations, helping them to understand the market in which they operate better. From the data collected from social networking sites, government databases, call centres or from data about a person’s actions picked up via various mobile devices or apps that vast array of potential for mining data has become so intense, that specialists are required to manage the data and process it in to useable analytics.
Companies are using the information gathered to reference things such as price histories, customer behaviour patterns, cutting costs by reviewing internal processes and increasing their customer care by being better able to anticipate their needs and respond accordingly.
Big data job roles
The change in the ability and type of data that is collected by companies has put the IT professional under the spotlight and recent years have seen the creation of new job roles, calling for professionals with refined big data skills. Roles such as -
- Data scientists
- Data architects
- Data visualizers
- Data change agents
- Data stewards
- Data virtualization/cloud specialists
These roles have been created in house at some of the larger organisations, but also there has also been an up serge of external consultants able to give smaller companies the ability to manage and access such data through outsourcing and cloud infrastructures.