Inhaltszusammenfassung

Companies struggle to exploit the value of their data. Providing a road¬map, data strategies define the scope and objectives of a company's data mana-gement. However, most companies remain behind the curve. Based on structured expert interviews, we provide six initial design guidelines for implementing data strategies effectively. They should be applicable across industries and at all levels of a company's data management as follows: (1) Define effectiveness as the over¬arching project goal –...Companies struggle to exploit the value of their data. Providing a road¬map, data strategies define the scope and objectives of a company's data mana-gement. However, most companies remain behind the curve. Based on structured expert interviews, we provide six initial design guidelines for implementing data strategies effectively. They should be applicable across industries and at all levels of a company's data management as follows: (1) Define effectiveness as the over¬arching project goal – in doing so, focus on better insights, that is, enabling ad¬vanced analytics. (2) Implement data strategies across the company, ideally with board member support. (3) Create diverse project teams – IT should not be the sole project leader. (4) Follow a top-down project approach, supplemented by quick wins covering a company's current pain points. (5) Ensure data quality first, then integrate your data, and assign roles & responsibilities. (6) There is no one size fits all. Consider different digital technologies – aligned with your in¬formation system backbone.» weiterlesen» einklappen

Autoren

Klassifikation

DFG Fachgebiet:
Wirtschaftswissenschaften

DDC Sachgruppe:
Wirtschaft