Data Governance

Explosion of IoT : Explosion of IoT

World Internet of Things (IoT) devices are predicted to reach 26 billion by 2020. This is an increase by about 30 times from 900 million in 2009. – 2014. EMC

‘With rapid growth of digital data generated by IoT traffic, global volume of data is expected to reach 44 trillion GB by 2020.’ – 2014 IDC Digital Universe Study

Establishment of data management system is the starting point of turning data into enterprise information asset and foundation for enhancing value of data owned by enterprises. And the key success factor is to improve reusability of data and maintain their value by complying with data standardization.

‘While all this looks somewhat daunting there is no doubt that sharing and re-use are mission critical success factors when it comes to implementing a data governance program. ‘
– Mike Ferguson , 2008 FEB ‘Re-use is Key in Data Governance’

 

What is Data Governance ?

Enterprise Data Integration is still an unsolved problem
As data processing is remained as an unmet task, significant portion is still adjusted and supplemented manually despite that multiple system integration solutions are available in the market. And it is a fact that most system integration projects are achieved by integration processes with more manual works than integrating with a variety of technologies.

What-is-Data-Governance
Data Governance Framework by DataStreams

Data governance deals with IT management system in data aspect rather than system or service aspect, and it enhances usability of business services by efficiently managing and controlling data. Thus, it provides basis for improving enterprises’ competitiveness and actively complying with regulations.

Data-Governance-Framework-by-DataStreams
framework
Case Study
Daegu Bank Next Generation system
Hyundai Marine & Fire Insurance Implement CIS project
Seoul Guarantee Insurance Next Generation system
Solomon Savings Bank Next Generation system
Korea Intellectual Property Office Implementing Governance system