Saturday, 25 March 2017

The Role Big Data Plays in Enterprise Collaboration - Luke Lonergan

It is important for every organization, and, indeed, every project to be able to manage data volumes that can be explosive. Tools of purging and archiving that are efficient are needed to deal with increasing volumes of data. However, when it comes to collaboration, the huge amounts of intelligence that are available from multiple sources need to be leveraged.
Consider any large project. It involves not only documentation that runs into millions but also several thousand people. More significantly, it involves a large volume of intelligence that includes internal communications, processes and raw information. Thanks to web-based technology and new mobile innovations that have to do with collaboration, data that can be shared with members of the project regardless of where they are is being captured easily. The overall intelligence aspect of any company depends upon its data.

When it comes to Big Data, new information is always flowing in, which means that new processes constantly need to be developed to deal with it. This leads to a bigger learning curve with each new process. All of this information, after all, makes up the intelligence of any organization and, if utilized effectively, can lead to accelerated project schedules, better project quality and more profitability.

Features of an Ideal Collaboration
There are several aspects that need to be looked into when it comes to collaboration such as safety, security, neutrality, central location, limitlessness and easily searchable.
One of the first things that come to mind is safety and security. The data that has been captured should not be accessible to unauthorized parties and should be protected from damage or alteration. A transparent audit should be done for all decisions and actions to support and secure the data.
Ensuring that Big Data is neutral means that there aren’t any ‘super-users’ controlling the access to the project data. Everyone who belongs to the project should have equal access to the data.
A service that is active and is the nexus point for all the project intelligence means that the Big Data is centralized. A firewall should surround the service so that external project members have limited access but authorized members would be allowed to exchange the data.

When it comes to uploading the data, there should be no limits on the amount of data, usage, number of files or any other factor. However, the data will need to be flexible and scalable so that it can be managed with total transparency.

If the data is searchable, one can search the repository of the data using various criteria. The repository should also be able to go through masses of data from various sources.

Luke Lonergan is a resident of San Carlos, CA, United States. He has completed his post graduate degree from Stanford University. He is a founder of Didera, a database clustering company. In 2000 he served as CEO and Chairman. Luke Lonergan’s background includes 16 years of management experience in computing technology ranging from innovations in big data, cloud computing to advances in medical imaging systems.

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