Creating a Data-Driven Organization: Practical Advice from the Trenches

i’ve totally geeked out on this book and love it all

A recommended read to everyone. Especially for managers who should have at least a basic data literacy nowadays. Highly recommended!

Good book, good content, quite a few typos that need to be corrected.

El libro es muy útil, recomendable 100%, una buena guía para mejorar cada día.

Review preface - I'm the enterprise data architect in one of the largest financial services firms in the US. My comments pertain to such environments. I found this book ... conventional. Perversely, I suppose, I found it too data-centric! Data does NOT drive the organization. Data - or better, information - informs it, and the difference goes a lot further than subtleties. The author takes things a bit far, IMHO, when it comes to suggesting C-level roles for data and analytics. Data management issues are legion and getting more complex all the time. You cannot fix, solve, correct, or compensate them for them in the ways suggested by the author. Mind you, that does not obviate the need to take many of the steps covered in the book. After all, if you have a need for mastered data in a particular context, you have the need. Addressing data quality, especially narrowly focused on an issue, will always be necessary. But none of the data management topics in the book, and that's what they are, will really address the information needs of a large, complex, modern corporate environment except at the margins. The goals, beyond simple monitoring mechanisms like dashboards and KPIs (the bane of my existence) are sometimes put in an analytics framework. They might be articulated as descriptive, prescriptive, and predictive, for example. Reporting strategies. Models. Etc. All of these are a house of cards built on assumptions of ownership, control, quality, security, and enforcement that are increasingly irrelevant. Want hardening of the company data arteries? Put modern "data management" in place. If it doesn't consume your company's entire budget or drive you to the bin, it will leave you holding, in a few years, a figuratively unoccupied leash wondering where the dog went as everyone, every business process, every vendor system, every legacy situation, every new technology, and every bit data freely available everywhere and anywhere undermines and obviates your strategy. Here's the heart of it. State. We increasingly need ALL of our data in every conceivable state, in motion or at rest, even temporary and error-ridden, in infinitely possible combinations. Oh, and the rest of the world's data too, in the same way. No matter what your data management activity perspective, the problems just became insurmountable. The fact that most data forms don't carry sufficient state or sematic information complicates things further. Doubless, I'm preaching to the choir here. But wait, you say, how about the more limited usages mentioned earlier? Doesn't that validate the need for data management structure? Well, yes and no. I'll stipulate the value of (data) control and definition within the context of a business operational process. But recognize that NON-operational data use, process-bound or not, is made more difficult by those controls and definitions. I'll note in passing that non-documented and unofficial processes exist (sometimes properly) WITHIN the boundaries of a larger business process ... and it is often the data in THIS context that is wanted by someone over yonder! (Just ask your nearest auditor.) Finally, consider how any particular data is becoming increasingly irrelevant. (Again, all of this in the context of a very large organization or corporation.) An insufficiently appreciated phenomenon of truly vast data availability is that data compensates for data. What if you had, as a vendor who recently presented at my firm has, 30,000+ data points per person, tracked within thousands and thousands of tiny geographic boundaries? Don't have this or that data? This bit is old or of suspicious quality? Don't have access to yet something else? Guess what ... you can impute that data with astounding (and known) statistical accuracy. Um, your PII data policies aren't gone - you're going to be held to them, possibly to criminal violation levels, but it's now security theater and better viewed as a cost burden rather than a control. By all means, have at the activities in "Creating a Data Driven Organization." It is well-written and clear (hence the 4 stars). You really have to to be able to operate. Just don't expect it to actually rise to the title's promise in the modern world. Parting shot - expect "the organization" to fragment, too.

Data, particularly big-data, have become buzzwords. For the first time in history, data – information about your customers, students, patients, citizens – can be collected almost effortlessly in huge quantities. (This is also the biggest threat to the American concept of democracy in the nation’s history, but that is another discussion.) But all that data is useless unless it can be presented in forms that ordinary people – managers, leaders, administrators, politicians, bureaucrats – can comprehend and use in constructive ways. That’s the big issue: most people aren’t naturally comfortable with analyzing data or even making sense of data provided iin tabular or columnar form. So author Carl Anderson sets out to help the custodians of data within organizations think about data as the foundation of a culture, the culture of the data driven organization. He says “[the data driven] culture is the dominant aspect that sets expectations of how far data is democratized, how it is used and viewed across the organization, and the resources and training invested in using data as a strategic asset”. If your eyes glazed while reading that extremely important declaration, don’t worry because the author takes eh reader on a marvelously told and illustrated tour of what data is, how it is collected and how it can be visualized for more or less ordinary people. Explaining data and its meaning gets a lot of well-deserved attention. This book is intended for the people within an organization who gather and analyze and present data as comprehensible information. It is without doubt one the best treatments of data as an asset that I read in a very long time. Highly recommended. Jerry

In a conversational tone, Anderson helps frame the thinking and socializing required to be successful in the endeavor. It is easy-to-read and accessible to technical and non-technical business leaders alike (although the former will find it a touch easier). It's not the only book you'll need: it's the first book you need.

The book is superficial and basic. The book should target analysts, not managers. Most discussion are about what is analytics and not on how to transform and run a data driven org. There are better CDO Playbooks. Definitely DOES NOT worth the money.

Very valuable book for any leader who wants to increase company’s competitive advantage by transforming organization into data-driven culture.

Habra manera en que pueda comprar más de 4 ediciones? es para regarlarselos a los miembros de mi equipo.

Acceptable

Muito bom, chegou antes do previsto

Gran fuente de información