A straightforward guide to optimizing information assets in the networked enterprise, this book includes extended, unpublished case studies from major industry with thorough implementation guidance. The text is supported by many tables, flow charts and graphical models.

Data Reverse Engineering : Slaying the Legacy Dragon

Business & Money

Aiken, Peter

Management & Leadership

McGraw=Hill

Building Corporate Portals with XML is the foundation book to implement this revolutionary knowledge management technology.

Building Corporate Portals with XML

Computers & Technology

FINKELSTEIN, CLIVE

Networking & Cloud Computing

XML in Data Management is for IT managers and technical staff involved in the creation, administration, or maintenance of a data management infrastructure that includes XML. For most IT staff, XML is either just a buzzword that is ignored or a silver bullet to be used in every nook and cranny of their organization. The truth is in between the two. This book provides the guidance necessary for data managers to make measured decisions about XML within their organizations. Readers will understand the uses of XML, its component architecture, its strategic implications, and how these apply to data management.

XML in Data Management: Understanding and Applying Them Together (The Morgan Kaufmann Series in Data Management Systems)

Allen, M. David

Morgan Kaufmann

Data are an organization's sole, non-depletable, non-degrading, durable asset. Engineered right, data's value increases over time because the added dimensions of time, geography, and precision. To achieve data's full organizational value, there must be dedicated individual to leverage data as assets - a Chief Data Officer or CDO who's three job pillars are: <ul>
<li>Dedication solely to leveraging data assets,</li>
<li>Unconstrained by an IT project mindset, and</li>
<li>Reports directly to the business</li>
</ul>
Once these three pillars are set into place, organizations can leverage their data assets. Data possesses properties worthy of additional investment. Many existing CDOs are fatally crippled, however, because they lack one or more of these three pillars. Often organizations have some or all pillars already in place but are not operating in a coordinated manner. The overall objective of this book is to present these pillars in an understandable way, why each is necessary (but insufficient), and what do to about it.

The Case for the Chief Data Officer: Recasting the C-Suite to Leverage Your Most Valuable Asset

Gorman, Michael M.

A guide to the word processing program highlights tips and shortcuts while explaining how to organize documents, track revisions, create Web pages, and create professional looking documents

Sams Teach Yourself Microsoft Word 2000 in 10 Minutes

Aitken, Peter G.

Software

Sams.

Pervasive, data is a unique organizational resource, and this distinction warrants its own strategy. Data, representing your single non-depletable, non-degradable, durable strategic asset, is likely also your most poorly leveraged and underutilized organizational asset. Lack of talent, barriers in organizational thinking, and seven specific data sins prevent most organizations from benefiting fully from their data asset investments. Solving these prerequisites will allow your organization to:
<ul>
<li>Improve your organization's data; </li>
<li>Improve the way your people use data; and </li>
<li>Improve the way your people use data to achieve your organizational strategy. </li>
</ul> This method better focuses data and thinking in direct support of strategic objectives. After eliminating necessary prerequisites, organizations can develop a disciplined and repeatable means of improving their data, literacy, standards, and controls using data governance practices. Once in place, the process (based on the theory of constraints) becomes a variant of lather, rinse, and repeat. Several complementary concepts covered include:<ul>
<li>An overview of data strategy prerequisites; </li>
<li>A repeatable process for identifying and removing data constraints; </li>
<li>Why data strategy is necessary for effective data governance; </li>
<li>Balancing operational results with capability development; </li>
<li>An objective definition of data-centric thinking; and </li>
<li>Ways to monetize these efforts. </li>
</ul>

Data Strategy and the Enterprise Data Executive: Ensuring that Business and IT are in Synch in the Post-Big Data Era

Harbour, Todd

Technics Publications

Let the masters guide you on your Chief Data Officer (CDO) journey! The CDO is a new business role, and just starting to appear in state, local, and federal governments. Like many new roles, the CDOs responsibilities are continuously evolving and changing. Most institutions are not consistent with assigning CDO responsibilities, and this lack of standardization is of great concern. Also, some say public and private sector CDOs are dramatically different. We dont believe that. We think CDOs are more similar than dissimilar. More importantly, though, we think private and public CDOs can learn from each other. Weve created this book to help all CDOs, public and private. This book is about ideas and recommendations which have broad applicationon the shop floor, in a conference room, or even in legislative chambers. Apply our advice to smooth your ride during the CDO journey. Use our ideas and suggestions in ways that work for you, because every organization and data journey is different. These ideas are here to help you avoid some of our frustrations. We hope this can reach executives, managers, legislators, and others leading organizations to help bridge explanations of new vocabulary, ideas, and processes. Ultimately, we think this book will help you create data-centric value for your organization.

The CDO Journey: Insights and Advice for Data Leaders

Walteraiken, Kathy

Kelly, Ed

Walsh, Burt

Do you know what a "PIDD" is? A PIDD is a Perpetual Involuntary Data Doner. Surveillance capitalists love PIDDs because PIDDs materially support the data extraction industry by unwittingly surrendering their personal information, paying for data transport and storage, and tolerating poor Internet/technology performance. Today, this quiet industry collects massive data about people to modify and control their societal behavior. Surveillance capitalists control behavior by exploiting people's low data literacy. Three things increase the magnitude of the challenge: Data volume continues faster than we can process; Poor data interchange costs drain citizen and organizational resources and productivity; Society's reliance on technologies has not materially addressed the gap. Our Digital Civics Framework (DCF) presents a guide to increasing the data literacy of billions of citizens or at least those connected to the internet. We outline the levels and types of data knowledge that society needs and propose exercises that will help citizens interact productively within a data-driven society. Unfortunately, far too many PIDDs allow surveillance capitalists to monitor their data. This type of monitoring comes at an expense to individuals, our communities, and society writ large. Completing this material will equip readers with a shared understanding of society and the role data plays in it.

Data Literacy: Achieving Higher Productivity for Citizens, Knowledge Workers, and Organizations

What's the Return on Investment (ROI) on data management? Sound like an impossible question to answer? Not if you read this book and learn the value-added approach to managing enterprise resources and assets. This book defines the five interrelated best practices that comprise data management, and shows you how by example to successfully communicate data management ROI to senior management. The 17 cases we share will help you to identify opportunities to introduce data management into the strategic conversations that occur in the C-suite. You will gain a new perspective regarding the stewardship of your data assets and insulate your operations from the chaos, losses and risks that result from traditional approaches to technological projects. And you will learn how to protect yourself from legal challenges resulting from outsourced information technology projects gone badly due to incorrect project sequencing and focus. With the emerging acceptance and adoption of revised performance standards, your organization will be better prepared to face the coming big data deluge! The book contains four chapters:
<ul>
<li>Chapter 1 gives a somewhat unique perspective to the practice of leveraging data. We describe the motivations and delineate the specific challenges preventing most organizations from making substantial progress in this area. </li>
<li>Chapter 2 presents 11 cases where leveraging data has produced positive financial results that can be presented in language of immediate interest to C-level executives. To the degree possible, we have quantified the effect that data management has had in terms that will be meaningful to them also. </li>
<li>Chapter 3 describes five instances taken from the authors' experiences with various governmental defense departments. The lessons in this section however can be equally applied to many non-profit and non-defense governmental organizations. </li>
<li>Chapter 4 speaks specifically to the interaction of data management practices, in terms of both information technology projects and legal responsibilities. Reading it can help your organization avoid a number of perils, stay out of court and better vet contractors, experts and other helpers who play a role in organization information technology development. </li>
</ul>
 From John Bottega Foreword: Data is the new currency. Yes, an expression that is being used quite a bit of late, but it is very relevant in discussing the importance of data and the methodologies by which we manage it. And like any currency, how we manage it determines its true value. Like any currency, it can be managed wisely, or it can be managed foolishly. It can be put to good use, or it can be squandered away. The question is – what factors determine the path that we take? How do we properly manage this asset and realize its full value and potential? In Monetizing Data Management, Peter and Juanita explore the question of how to understand and place tangible value on data and data management. They explore this question through a series of examples and real-world use cases to exemplify how the true value of data can be realized. They show how bringing together business and technology, and applying a data-centric forensic approach can turn massive amounts of data into the tools needed to improve business processes, reduce costs, and better serve the customer. Data monetization is not about turning data into money. Instead, it's about taking information and turning it into opportunity. It's about the need to understand the real meaning of data in order to extract value from it. And it's about achieving this objective through a partnership with business and technology. In Monetizing Data Management, the authors demonstrate how true value can be realized from our data through improved data centric approaches.

Monetizing Data Management: Finding the Value in your Organization's Most Important Asset

Billings, Juanita Walton

Computer Science

Technics Publications, LLC

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