Data analytics strategy and internal information quality

Author:

Lem Katie W.1

Affiliation:

1. The Ohio State University, Fisher College of Business Columbus Ohio USA

Abstract

AbstractI examine whether a strategic focus on data analytics is associated with improvements in firms' internal information quality. Using textual analysis of firm disclosures to identify a data analytics strategy, I first document that firm, leadership, and operating environment characteristics are all important determinants of the decision to adopt a data analytics strategy. I next use operating and financial reporting outcomes to infer whether a data analytics strategy improves internal information quality. I find that a data analytics strategy is associated with enhanced operating efficiency, as adopting firms invest and utilize existing resources more efficiently. I also find that a data analytics strategy is associated with more accurate management forecasts. These results, collectively, are consistent with a data analytics strategy improving firms' internal information quality. Lastly, I corroborate and extend my findings with job postings data, and the results suggest that firm leadership signals their support for data analytics initiatives through disclosure.

Publisher

Wiley

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