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Data Analytics Strategy and Internal Information Quality.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Data Analytics Strategy and Internal Information Quality./
Author:	Lem, Katie Wei.
Description:	1 online resource (67 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 84-10, Section: A.
Contained By:	Dissertations Abstracts International84-10A.
Subject:	Finance. -
Online resource:	click for full text (PQDT)
ISBN:	9798379409784

Data Analytics Strategy and Internal Information Quality.
Lem, Katie Wei.

Data Analytics Strategy and Internal Information Quality. - 1 online resource (67 pages)

Source: Dissertations Abstracts International, Volume: 84-10, Section: A.

Thesis (Ph.D.)--University of Washington, 2023.

Includes bibliographical references

I examine whether a strategic focus on data analytics improves firms' internal information quality, the decision-usefulness of information. 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. To infer the impact of a data analytics strategy on internal information quality, I examine its implications for various operating and financial reporting outcomes. I find that a data analytics strategy is primarily associated with better operating efficiency. More specifically, when firms employ a data analytics strategy, they invest and utilize existing resources more efficiently. I also find evidence that a data analytics strategy is associated with improvements in management forecasts. Overall, the results are consistent with a data analytics strategy improving firms' internal information quality.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798379409784Subjects--Topical Terms:

559073
Finance.
Subjects--Index Terms:

Internal information qualityIndex Terms--Genre/Form:

554714
Electronic books.

Data Analytics Strategy and Internal Information Quality.
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520 $a I examine whether a strategic focus on data analytics improves firms' internal information quality, the decision-usefulness of information. 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. To infer the impact of a data analytics strategy on internal information quality, I examine its implications for various operating and financial reporting outcomes. I find that a data analytics strategy is primarily associated with better operating efficiency. More specifically, when firms employ a data analytics strategy, they invest and utilize existing resources more efficiently. I also find evidence that a data analytics strategy is associated with improvements in management forecasts. Overall, the results are consistent with a data analytics strategy improving firms' internal information quality.
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