Why do data initiatives fail?

Datapreneur Khyanafi
pbinsightz post page

Prakash Baskar

October 20, 2020

minutes remaining

“While you write for the #dataleader, the focus seems to be mostly around data leadership and rarely about governance, data quality, and technology – why is that?” – a client asked me yesterday.

Data initiatives deliver sub-par results due to certain gaps.

Rarely the problems are around the underlying technology (they all more/less do the same thing), choice of tools (every tool has about 80-90% of the similar functionality that a user will use), or the process know-how (we have enough governance frameworks, checklists, how-tos)

The problems are due to
1.) Shortage/lack of planning & execution-know-how
2.) Capacity gap
3.) Capability gap.

These issues cannot be solved by working within the data area alone but needs to be addressed across the six areas below:
1. Data/Analytics
2. Business/Technology
3. Process innovation
4. Governance/Controls
5. Organizational Design
6. Talent Management

The programs’ success depends on the level of leadership available – not just with the data leader but across the entire team.


Share

Tags

Data Strategy, Datapreneur


You may also like

Become an Insider

Want Unconventional Ideas and Insights Directly Delivered to You? 

Insiders get periodic mini-coaching and personalized follow-up that is not available otherwise.

Take Your Career To New Levels .