Taiwan's top telecom operator Chunghwa Telecom (CHT) has newly incorporated data governance architecture G@S (Governance@Scale) provided by Amazon Web Services (AWS) to help clients accelerate digital transformation and promote their business growth and innovation.
At a recent online forum hosted by AWS, CHT's digital development department chief Chueh Jen-bin said there are several major pain points facing traditional enterprises in promoting data governance, including huge amount of data to be processed, unclear business definitions, and lack of clear-cut data access authority standards.
To address the pain points, CHT has introduced G@S solution from AWS and has selected three major segments - 5G business promotion, human resources and public work - as pilot fields for improving data governance.
Chueh said the concept of data governance is not yet fully popular in Taiwan, and it will take time for the AWS G@S data governance system to be well implemented by domestic enterprises.
He stressed that support from top executives will be the first key step for enterprises to promote digital transformation and materialize data-driven business operations, and then enterprises should select priority business scenarios for trial implementation of the data governance solution before building a sound data governance mechanism to improve data assets management.
At the same event, Young Yang, manager of specialist solutions architect at AWS Hong Kong and Taiwan, remarked that with data generation speeding up and generation environment expanding from online to offline, data managers need to make decisions more immediately and accurately. However, he continued, enterprises face many practical challenges in promoting data governance, including separate governance of big data and machine learning, insufficient data processing capability, and low participation of data analysts.
Yang stressed that AWS has set four guiding principles to tackle the challenges, namely creating a data-driven corporate culture, designing an agile corporate organizational structure, build a good mechanism, and integrate big data and machine learning. He expressed the hopes that more enterprises can begin to pay attention to data governance mechanisms and make long-term planning in this regard.
In terms of actual implementation, AWS suggests that enterprises build a unified data governance base in the cloud, integrate machine learning and big data development platforms, and reduce duplication of efforts to lower costs, so that they can eventually fulfill the goal of data-driven transformation, according to Yang.
