We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Drive Business Performance (Book Review)
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > Drive Business Performance (Book Review)
Business Intelligence

Drive Business Performance (Book Review)

RonDimon
RonDimon
5 Min Read
SHARE

I finally read Drive Business Performance: Enabling a Culture of Intelligent Execution (Microsoft Executive Leadership Series) by Bruno Aziza and Joey Fitts.

Bottom line: this is a very good book on the business benefits and high-level “how to” of enterprise performance management (EPM).

While the authors refer to this domain simply as ‘performance management’ (more on this here), it’s not to be confused with the annual Human Resources review process, but rather all of the people, process, and technology involved in sustainably executing your strategy.

This book is not too technical nor too theoretical. It has the right balance of business perspective, systems enablement, and process maturity to give a good overview of the promise of EPM and strategy execution. It makes liberal use of case studies, examples and stories to illustrate points and give more depth to the insights.

More Read

Really Simple Statistics: What is Nominal Data?
Really Simple Statistics: What is Nominal Data?
Is There Such a Thing as Good Gut Decisions?
What the Rise of AI Web Scrapers Means for Data Teams
Mobile Business Intelligence
Economist or Iconomist?

Some highlights:

  • Fact-based, data-driven decision making (p.12)
  • Strategic, Operational, and Tactical Decisions (p28)
  • The Foundation for Decisions: information & trust (p32)
  • Competitive Benchmarking (p16)
  • The ‘right’ metrics (p49, 69)
  • Line of Sight visibility (p.93)
  • Accountability Mapping (p 226) and also how difficult it is to visualize and map metric relationships (p. 69) – of course this area is of special interest to me since it’s what we do
  • A very good “uber” model for determining where to focus your efforts (p.254)

They also follow-up the book with more information on their companion website at http://www.cultureofperformance.com

A few things could be improved (perhaps for the second edition):
– There is a disconnect early on in the book between modeling and planning. Financial Modeling is lumped together with scenario planning later on (p. 195, 212, 217) and is probably collapsed early on with “Plan.” But the distinction is important enough that they should be “un-collapsed” and addressed separately in the model from the start. There was an attempt at this on pages 38 & 39, but I think it was buried and not highlighted. On page 38 in figure 2.2 they say Planning answers the question “What do we want to see happen” and at the top of page 39, under Plan capabilities, they say it addresses “how to model what should happen.” I think it would be more helpful to say that:
         Modeling (financial & operational) helps answer the question “what do we want to happen” (and includes things like strategic objectives/targes, assumptions & constraints), and
         Planning (financial & operational) helps answer the question “how do we want it to happen” (and includes resource allocation, more specific targets, and accountability down to the planning unit level).This really is an untapped area of EPM that should be on most people’s roadmaps.

– More detail on statutory consolidation and reporting, especially with the emphasis on IFRS vs. US GAAP happening these days would be good (it’s briefly addressed on page 214)

– I’d like to see real examples of competitive benchmarking and how EPM impacts financial performance (eg: Revenue Growth, Operating margin, cash cycle, etc.)

– Perhaps more on the functional issues of performance management, that is, how points of view differ across marketing, sales, finance, operations, and so on.- And, of course, more leadership in the use of the term “Performance Management” versus EPM, BPM, CPM, IPM, etc.

All in all, a very good read and certainly belongs on the bookshelf of any EPM manager and any CIO and CFO….hopefully dog-eared and well-worn.

Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

How Search Engine Indexing Lags Behind Large-Scale Website Domain Migrations -- AI-generated illustration
How Search Engine Indexing Lags Behind Large-Scale Website Domain Migrations
News
How Great Content Moves Through A Marketing Ecosystem -- AI-generated illustration
How Great Content Moves Through A Marketing Ecosystem
Exclusive Infographic Marketing
What Your Brand Misses That Data Reveals -- AI-generated illustration
What Your Brand Misses That Data Reveals
Big Data Exclusive Infographic
5 Common Mistakes Businesses Make During the Risk Assessment Process -- AI-generated illustration
5 Common Mistakes Businesses Make During the Risk Assessment Process
Business Intelligence Exclusive Risk Management

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

From Business Intelligence to Personal Intelligence
Business Intelligence

From Business Intelligence to Personal Intelligence

3 Min Read

The Enterprise Brain

5 Min Read

Sentiment Analysis Vital to Business Intelligence

4 Min Read
AI Drives Breakthroughs in Therapy Practice Management Software
Artificial Intelligence

AI Drives Breakthroughs in Therapy Practice Management Software

12 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?