Data Science 7

What does it take to master analytics ?






Analytics at Work: Smarter Decisions, Better Results 

• Not every company is going to use analytics as a means of competitive differentiation. 

• But every organization can benefit by improving how they: 

– use data to gain deeper insights

– make smarter decisions– execute decisions more consistently 

– get better results. 

• Analytics at Work shows analytically oriented managers how to guide their organizations toward greater analytical maturity. 



Analytics at Work – the Big Picture 



Analytical Capabilities        

 Data Enterprise Leadership 

Targets Analysts 

Technology Advanced 

Analytics 



Organizational Context

 Analytical Culture & Business Processes 



Desired Results Better Decisions 




Systematic Review






‘Analytical’ Culture 



• Cultivating curiosity & problem-solving 

• Facts, evidence, analysis as the primary way of deciding 

• Pervasive “test and learn” emphasis where there aren’t facts 

• Free pass for pushbacks—”Where’s your data?” 

• Still room for intuition based on experience 

• A focus on action after analysis 

• Never resting on your analytical laurels



Taking Action 



Analytics need to be embedded into the machinery of organizational action 



• Operational decision-making 

• Business processes 

• Manager and employee behavior 

• Customer expectations



Chief Data and Analytics Officer (CDAO) 



• The CDAO is responsible for ensuring that the enterprise has the data, organizational capabilities, and mindset needed to successfully compete on analytics. 



• Gartner describes the role this way: “The CDAO is a senior executive who bears responsibility for the firm’s enterprise wide data and information strategy, governance, control, policy development, and effective exploitation.



Audience analysis (specific to each presentation)



  •  Low • very concise, few slides • clear so what → MPORTANCE OF TOPIC→ High • Can there be more slides? • Choice: present so what or let audience participate in deriving so what 





  • Low • no prior syndication • Clear so what • Key facts sufficient→ SENSITIVITY → High • Prior syndication • All facts to support findings in appendix • Choice – only facts (so what from the audience) or clear so what 



  • Information • Focus on story and facts → OUTCOME→ Decision • Perfect flow from findings to decisions • Clear page(s) on decisions to be taken 




  • Start with facts • Build up story deductively • Finish with conclusion and implication → SEQUENCE → Start with conclusion • First slide gives conclusion and implication • Rest of presentation is support to first slide 




  • Few facts • If audience is not of factual type • If your credibility is high • If audience already believes conclusion  → AMOUNT OF FACTS → Many facts (in appendix) • If audience likes facts • If your credibility is not yet high • If audience might distrust conclusion