Belcan Corporation, CIO: Our Goal Is To Provide Analytical Tools for Enhanced Decision-Making

Belcan Corporation, CIO: Our Goal Is To Provide Analytical Tools for Enhanced Decision-Making

Terry Williams, Chief Information Officer at Belcan Corporation, speaks with Taylor Gorning, Managing Director at AHEAD, about his priorities concerning data analytics, organizational goals, transformation, and data analytics’ future possibilities.

With 17 acquisitions in five years, Williams describes Belcan as unique. He has learned that each acquisition brings in a different integration, playbook, and approach, and data governance plays an important role. He maintains that each company has its own set of data governance policies, depending on the rules around data access, whereabouts of data, etc., thus making it a priority.

Williams also speaks about prioritizing the technology factor for the long run, ensuring a technologically enabled methodology to create a global data view and leading to analytical assimilation of dissimilar systems. William asserts that Belcan’s goal is to provide analytical tools to ensure stakeholders' access to data. This, in turn, he says, will lead to an overall enhancement of decision making and strategy development.

William addresses the complexities associated with the accumulation of different data sets under one umbrella, especially for a global company. The solution to the problem, he says, is to make sure that the complexities are invisible to stakeholders and users. He tries to stop those complexities at the user interface level.

He goes on to talk about transformations in the data analytics field.  He recalls how, in the past, many global companies started by building data warehouses to store the data from different sources. There, the data was cleansed and accessed through API(s). Using today’s technology, however, organizations can access that data in real-time without the need to build huge, complex data warehouses. Williams also mentions that the data laws concerning data governance and technological advancements need to be adhered to globally. 

Regarding future possibilities in the data-analytics discipline, he shares his excitement about  companies’ and start-ups’ developing interest in data. Williams describes the sophisticated AI-enabled tools being developed today as promising. The ability of these tools to correlate data from different systems across platforms is transformational, he says. 

Williams concludes by stating that he is excited about the speed at which the transformation is happening in the realm of data analytics and technology.

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