The digital transformation era has made data a valuable asset across all sectors. Proper data management has become crucial for decision-making. Data is not merely a collection of information but needs to be identified within its context and meaning.
“Data doesn’t exist in a vacuum; an ecosystem surrounds it. It’s not always about numbers, datasets, and machine learning. For data to be used effectively, it must have an identity. This concept is what we call ‘data symphony,’” said Suwandi, Chief Data Officer of Lokadata, during a discussion organized by the Center for Digital Society at Fisipol UGM titled “Exploring Collaborative Potential in Data Utilization” on Thursday (Dec. 12) at the Fisipol UGM Auditorium.
According to Suwandi, data is more than just a collection of information—it must be properly identified. He provided an example of how researchers in social sciences and humanities could reflect on data in relation to political or social realities.
This approach not only simplifies data processing but also preserves its identity. Without this identity, processed data risks being inaccurate or irrelevant.
“Data about young people’s sentiment toward taxes, for example, could yield varying results across different digital platforms. We must observe the patterns. Data isn’t merely a set of numbers but involves contextualization,” Suwandi explained.
The diversity and complexity of data, he added, are advantages that enrich data analysis outcomes.
Suwandi described the process of data handling using the knowledge cycle methodology, in which raw data must be combined into actionable information without losing its identity.
These information clusters can then be refined into “knowledge,” allowing data to provide clear conclusions on the issues being studied.
He shared how Lokadata collects, processes, and analyzes data related to Indonesia. Instead of relying on personal data, Lokadata primarily uses aggregated data in coded form.
Suwandi also acknowledged that data management requires significant manpower and funding due to emerging trends involving diverse methods and types of analysis.
Author: Tasya
Editor: Gusti Grehenson