Analytics at Work Epub Ù Analytics at Epub /



10 thoughts on “Analytics at Work

  1. Aaron Bolin Aaron Bolin 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 reuired for deploymentI found the book to be interesting and uite 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 formatFor 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 uality of his thought on the topic of business analytics is top notch Analytics at Work is still worth a uick read especially if this is your first exposure to Davenport's framework for business analytics


  2. Tom Kloiber Tom Kloiber says:

    DELTA model is helpfulD 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


  3. Mehwish Mehwish says:

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


  4. Amanda Sagastume Amanda Sagastume says:

    This book really helped “label” my organization and gave me practical ways of getting to the next level of using data It is a great resource that I’m sure to go back to from time to time


  5. Mike Mike 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 noteda 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 managementb p152 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 US 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 US 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. JP JP says:

    The authors build on their previous work which I was glad to see because the analytics space is evolving uickly 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 uestions 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. Cliff Chew Cliff Chew says:

    This book is uite 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. Willis Willis 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. Ken Ken 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. Harlan Harlan 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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Analytics at Work ❮Download❯ ➹ Analytics at Work ➾ Author Thomas H. Davenport – Natus-physiotherapy.co.uk 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 th Most companies have massive amounts of data at their disposal yet fail to utilize it Analytics at Epub / 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 ualitative 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 Hotelscom 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 uantitative 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.