❰PDF / Epub❯ ★ Analytics at Work Author Thomas H. Davenport – Lectinshield.co.uk

Analytics at Work pdf Analytics at Work , ebook Analytics at Work , epub Analytics at Work , doc Analytics at Work , e-pub Analytics at Work , Analytics at Work e5e6882d11f Most Companies Have Massive Amounts Of Data At Their Disposal, Yet Fail To Utilize It In Any Meaningful Way But A Powerful New Business Tool Analytics Is Enabling Many Firms To Aggressively Leverage Their Data In Key Business Decisions And Processes, With Impressive ResultsIn Their Previous Book, Competing On Analytics, Thomas Davenport And Jeanne Harris Showed How Pioneering Firms Were Building Their Entire Strategies Around Their Analytical Capabilities Rather Than Going With The Gut When Pricing Products, Maintaining Inventory, Or Hiring Talent, Managers In These Firms Use Data, Analysis, And Systematic Reasoning To Make Decisions That Improve Efficiency, Risk Management, And ProfitsNow, In Analytics At Work, Davenport, Harris, And Coauthor Robert Morison Reveal How Any Manager Can Effectively Deploy Analytics In Day To Day Operations One Business Decision At A Time They Show How Many Types Of Analytical Tools, From Statistical Analysis To Qualitative Measures Like Systematic Behavior Coding, Can Improve Decisions About Everything From What New Product Offering Might Interest Customers To Whether Marketing Dollars Are Being Most Effectively DeployedBased On All New Research And Illustrated With Examples From Companies Including Humana, Best Buy, Progressive Insurance, And Hotels, This Implementation Focused Guide Outlines The Five Step DELTA Model For Deploying And Succeeding With Analytical Initiatives You Ll Learn How To Use Data Effectively And Glean Valuable Analytical Insights Manage And Coordinate Data, People, And Technology At An Enterprise Level Understand And Support What Analytical Leaders Do Evaluate And Choose Realistic Targets For Analytical Activity Recruit, Hire, And Manage AnalystsCombining The Science Of Quantitative Analysis With The Art Of Sound Reasoning, Analytics At Work Provides A Road Map And Tools For Unleashing The Potential Buried In Your Company S Data

10 thoughts on “Analytics at Work

  1. says:


  2. says:

    Analytics at Work is billed as a how to guide for managers to effectively deploy analytics in their day to day operations from the inside cover Though I enjoyed the book, I don t believe that a reasonable person could say that it lives up to the promise Instead, Davenport and his co authors provide a very general framework that lacks the advertised day to day details required for deployment.I found the book to be interesting and quite useful from a oh, I hadn t thought of that perspective However, I m not sure that there is much original material here beyond the general framework most of which was presented in an earlier work by the same authors Though I wouldn t recommend this book for serious analytic how to, it would be a good read for someone seeking a general overview of the topic in a reasonably non technical format.For me, the measure of a book s contribution to my understanding of a topic is the number of marginal notes I make as I read In this particular volume, I didn t make many marginal notes I m still very much of fan of Thomas Davenport the quality of his thought on the topic of business analytics is top notch Analytics at Work is still worth a quick read, especially if this is your first exposure to Davenport s framework for business analytics.

  3. says:

    DELTA model is helpful D must have well structured dataE must have an enterprise wide approachL must have leadership supporting analytics initiativeT identify key target projectsA hire and train strong analystscreating an analytics culture is key to success target some basic projects first to gain early momentum and support don t take on too much too soon

  4. says:

    It is not what I was looking for very basic talking about obvious things n

  5. says:

    Co author Jeanne Harris spoke at the 2010 JMP Discovery Conference which I attended and received this book for free This is not the type of book I would typically choose to read Here are a couple interesting points I noted a p 103 Analysts want to feel supported and valued by their organizations but they also want autonomy at work the freedom and flexibility to decide how their jobs are done Managers should provide goals and resources, and then give analytical people freedom to organize their own work Autonomy is not abandonment, however Managers and customers for that matter need to recognize analysts work and make their contribution visible to senior management.b p.152 American Airlines uses analytics to optimize its route network and crew schedules Without analytical tools, managing a complex hub and spoke network with over 250 destinations, twelve aircraft types, and 3400 daily flights would be nearly impossible Nevertheless, it might be argued that American s optimized complexity works against it Neither it nor other major U.S airlines with similar complexity levels have been profitable for years A much less complex airline model is offered by Southwest Airlines, which has only one aircraft type and not airport hubs Southwest also uses analytics for seat pricing and operations, but its model is much simpler to optimize Most important, Southwest has beee profitable for thirty six consecutive years, and at several times over the recent past its market values has been worth than the combined market value of all other U.S carriers This sobering comparison suggests that American and the other complex carriers need to simplify their own business models c p 180 Your analytical decisions won t always be perfect In most cases gathering and analyzing data significantly increases the likelihood that your answer will be right, or at least better than a guess Sometimes your analytical decision will be wrong or suboptimal Indeed, one of the biggest hurdles organizations face is learning not to keep the making the same bet when the model was wrong last time Don t lose faith in data and analytics You re better off overall making analytical decisions, even if sometimes you end up on the wrong side of a statistical distribution of outcomes.

  6. says:

    The authors build on their previous work, which I was glad to see because the analytics space is evolving quickly A few elements I especially liked about this book include a framework for what analytics can answer, a model for success, and a tie in to employee engagement In their framework for the questions analytics can answer, they distinguish between information and insight, and then show how each can be applied to past, present and future The DELTA model outlines key success factors, such as enterprise orientation, leadership and the analysts themselves Most of the body of the book is an expansion on these factors Books in this genre that build on a previous work to often repeat the same case studies featuring the same companies I noticed a return to some of the original firms in this case as well, but there were just enough new stories to convince that the authors work from a growing base of experience Overall, this book gives practical and insightful perspective on applying analytics in business.

  7. says:

    This book is quite easy to read, although it s focus isn t on statistical models and analyses However, it does cover very interesting issues that firms and analysts face when they are approaching analytics in their workplaces We hardly live and work in silos, so many of the issues mentioned in this book are pretty interesting perceptions to take back I do even see some of the situations explained in the book unfolding in some of the organizations that I have dealings with To re emphasize, you will not learn how to do customer segmentation or market basket analysis with this book, but if you have the bandwidth, I suggest reading this book to learn about how to approach management with your analytics.

  8. says:

    I ve found that how much I like a book can depend a lot on your current mood, mindset and situation This book came at a perfect time for me so I ended up rating it higher than I would have otherwise If you re looking for specifics around analytical tools, don t even bother with this book If you are working on how to create an analytics organization or how to create of a culture for analytics, then this is the book for you This coincided with some work that I m currently doing around organizational design and it was chock full of good advice and things to think about so it was extremely valuable for me.

  9. says:

    I had very high hopes for this book What it wasn t was a detailed list of analytical tools that you can use and implement in your job It was of identifying a process to create analytical tools It did of a good summary review of the different elements and parts to the process and what to look for and support It wasn t bad, just not what I thought it would be.

  10. says:

    I m not typically one to recommend business books, but Davenport has a lot of wisdom about how organizations can structure themselves and their processes to make the best use of analytical employees.

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