Partial book profile
Strategic Analytics - Advancing Strategy Execution and Organizational Effectiveness
A step-by-step framework for integrating enterprise (business) and human capital (people) analytics to diagnose the root causes of strategy execution problems and improve organizational effectiveness.
The full book profile is not available yet.
What it’s about
Organizations drown in data yet still fail to execute strategy, largely because business leaders and HR run parallel, uncoordinated analyses that each tell only part of the story. Strategic Analytics offers a practical, three-step diagnostic—starting with competitive advantage, moving to enterprise analytics, and finishing with human capital analytics—that builds and tests a complete causal model of how performance actually happens. Alec Levenson, drawing on decades of work at USC's Center for Effective Organizations, shows how to avoid the traps of ROI myopia, data mining, and misleading correlations, and how to focus limited time and resources on the handful of truly strategic issues rather than the thousand 'nice-to-have' fixes. Grounded in real case studies (PwC, Frito-Lay, Boeing, executive coaching, banks, tech companies), the book teaches leaders, managers, and analysts to diagnose structural, design, and behavioral problems as an integrated system so their decisions genuinely advance competitive advantage.
The through-line
- Who it’s for
- A business or HR leader, manager, or analyst who wants to use analytics to genuinely improve strategy execution and organizational effectiveness.
- The problem
- Enterprise and human capital analytics are conducted separately, producing incomplete diagnoses that fail to solve strategy execution problems. The reader feels overwhelmed by mountains of data yet unsure which analytics matter, and frustrated that business and HR keep talking past each other.
- The plan
- Step 1: Identify the sources of competitive advantage and where strategy execution falls short (competitive advantage analytics).
- Step 2: Diagnose the enterprise level—organization design, capability, and culture.
- Step 3: Diagnose the human capital level—job design, individual capability, and attitudes/motivation.
- Build and test a complete causal model, using stakeholder interviews first and statistics only where appropriate.
- Get stakeholder alignment up front and time analytics to the planning cycle so results drive change.
- The payoff
- Better-informed decisions that channel budget dollars toward capabilities that create competitive advantage. · Avoidance of doomed solutions that ignore structural root causes. · Integrated business and HR analysis that closes each side's blind spots.
See our guide
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Additional reading
- Designing Matrix Organizations That Actually Work · Jay R. Galbraith
Provides detailed guidance on organization design, decision rights, and matrix structures, which are core topics within the book's 'Enterprise Analytics' step.
- Employee Surveys That Work: Improving Design, Use, and Organizational Impact · Alec Levenson
This is the author's other book, referenced frequently as a source for specific survey items and deeper analysis of employee attitudes, a key component of 'Human Capital Analytics'.
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Co-cited books
- Predictive HR Analytics, Text Mining Organizational Network Analysis with Excel
- Predictive Analytics in Human Resource Management A Hands-on Approach
- CLC_Selecting_HR_Metrics
- Job and Work Analysis
- Lib07b04a10ae26a9d5
- A Theory of Goal Setting: Task Performance · Edwin A. Locke Gary P. Latham
- The basic principle of people analytics learn how to use hr data to drive better outcomes for your business and employees · Erik van Vulpen
- People analytics in the era of big data changing the way you attract, acquire, develop, and retain talent