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DOCUMENT DESCRIPTION
Enterprise organizations invest in Analytics to improve Decision Making and outcomes across the business. This is from Research & Development to Supply Chain to Risk Management. Yet, many executives are not yet seeing the results of their Analytics initiatives and investments.
Every organization putting on investment on Analytics have experienced several stumbling blocks. This differentiates the leaders from the laggards. Analytics-driven organizations have clearly established processes, practices, and organizational conditions for success. Their commitment to Analytics is creating a major payoff from their investments and a Competitive Advantage.
This presentation provides organizations a good insight on being Analytics-driven and the 4 core obstacles to generating actionable insights with Analytics.
1. Communication and Decision Making Integration
2. Skills to Interpret and Apply Analytics
3. Siloed and Fragmented Analytics
4. Time Delay
With organizations rapidly expanding their work with Analytics, this presentation shows how successful companies have forged a path that can help organizations evolve their Analytic approach and focus on key areas for improvement. Likewise, gaining a good perspective of the 4 core obstacles will enable organizations to better come up with strategic plans and actions to ensure that investments on Analytics truly pays off.
This deck also includes slide templates for you to use in your own business presentations.
Got a question about the product? Email us at [email protected]. If you cannot view the preview above this document description, go here to view the large preview instead.
Source: Analytics-driven Organization PowerPoint document
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Analytics-driven Organization
Sold by LearnPPT (this author has 81 documents)
This business document is categorized under:
File Type: PowerPoint (pptx)
Tag(s): Analytics Number of Slides: 24 (includes cover, transition slides) Purchase includes lifetime product updates. After your purchase, you will receive an email to download this document.
Upload date (first version): Jan 6, 2020
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