Data Strategy

How to Profit from a World of Big Data, Analytics and the Internet of Things

Author: Bernard Marr

Publisher: Kogan Page Publishers

ISBN: 0749479868

Category: Business & Economics

Page: 200

View: 750


Less than 0.5 per cent of all data is currently analysed and used. However, business leaders and managers cannot afford to be unconcerned or sceptical about data. Data is revolutionizing the way we work and it is the companies that view data as a strategic asset that will survive and thrive. Bernard Marr's Data Strategy is a must-have guide to creating a robust data strategy. Explaining how to identify your strategic data needs, what methods to use to collect the data and, most importantly, how to translate your data into organizational insights for improved business decision-making and performance, this is essential reading for anyone aiming to leverage the value of their business data and gain competitive advantage. Packed with case studies and real-world examples, advice on how to build data competencies in an organization and crucial coverage of how to ensure your data doesn't become a liability, Data Strategy will equip any organization with the tools and strategies it needs to profit from big data, analytics and the Internet of Things.

Data Strategy

Author: Sid Adelman,Larissa Terpeluk Moss,Majid Abai

Publisher: Addison-Wesley Professional


Category: Computers

Page: 342

View: 7331


Without a data strategy, the people within an organization have no guidelines for making decisions that are absolutely crucial to the success of the IT organization and to the entire organization. The absence of a strategy gives a blank check to those who want to pursue their own agendas, including those who want to try new database management systems, new technologies (often unproven), and new tools. This type of environment provides no hope for success. Data Strategy should result in the development of systems with less risk, higher quality systems, and reusability of assets. This is key to keeping cost and maintenance down, thus running lean and mean. Data Strategy provides a CIO with a rationale to counter arguments for immature technology and data strategies that are inconsistent with existing strategies. This book uses case studies and best practices to give the reader the tools they need to create the best strategy for the organization.

Modern Data Strategy

Author: Mike Fleckenstein,Lorraine Fellows

Publisher: Springer

ISBN: 3319689932

Category: Computers

Page: 263

View: 6670


This book contains practical steps business users can take to implement data management in a number of ways, including data governance, data architecture, master data management, business intelligence, and others. It defines data strategy, and covers chapters that illustrate how to align a data strategy with the business strategy, a discussion on valuing data as an asset, the evolution of data management, and who should oversee a data strategy. This provides the user with a good understanding of what a data strategy is and its limits. Critical to a data strategy is the incorporation of one or more data management domains. Chapters on key data management domains—data governance, data architecture, master data management and analytics, offer the user a practical approach to data management execution within a data strategy. The intent is to enable the user to identify how execution on one or more data management domains can help solve business issues. This book is intended for business users who work with data, who need to manage one or more aspects of the organization’s data, and who want to foster an integrated approach for how enterprise data is managed. This book is also an excellent reference for students studying computer science and business management or simply for someone who has been tasked with starting or improving existing data management.

Data Strategy and the Enterprise Data Executive

Ensuring that Business and IT are in Synch in the Post-Big Data Era

Author: Peter Aiken ,Todd Harbour

Publisher: Technics Publications

ISBN: 1634622197

Category: Big data

Page: N.A

View: 6078


Master a proven approach to create, implement, and sustain a data strategy. 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: Improve your organization’s data; Improve the way your people use data; and Improve the way your people use data to achieve your organizational strategy. 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: An overview of data strategy prerequisites; A repeatable process for identifying and removing data constraints; Why data strategy is necessary for effective data governance; Balancing operational results with capability development; An objective definition of data-centric thinking; and Ways to monetize these efforts.

Data Strategy in Colleges and Universities

From Understanding to Implementation

Author: Kristina Powers

Publisher: Routledge

ISBN: 042979441X

Category: Education

Page: 202

View: 5540


This valuable resource helps institutional leaders understand and implement a data strategy at their college or university that maximizes benefits to all creators and users of data. Exploring key considerations necessary for coordination of fragmented resources and the development of an effective, cohesive data strategy, this book brings together professionals from different higher education experiences and perspectives, including academic, administration, institutional research, information technology, and student affairs. Focusing on critical elements of data strategy and governance, each chapter in Data Strategy in Colleges and Universities helps higher education leaders address a frustrating problem with much-needed solutions for fostering a collaborative, data-driven strategy.

Data Science Strategy For Dummies

Author: Ulrika Jägare

Publisher: John Wiley & Sons

ISBN: 1119566274

Category: Computers

Page: 352

View: 8785


All the answers to your data science questions Over half of all businesses are using data science to generate insights and value from big data. How are they doing it? Data Science Strategy For Dummies answers all your questions about how to build a data science capability from scratch, starting with the “what” and the “why” of data science and covering what it takes to lead and nurture a top-notch team of data scientists. With this book, you’ll learn how to incorporate data science as a strategic function into any business, large or small. Find solutions to your real-life challenges as you uncover the stories and value hidden within data. Learn exactly what data science is and why it’s important Adopt a data-driven mindset as the foundation to success Understand the processes and common roadblocks behind data science Keep your data science program focused on generating business value Nurture a top-quality data science team In non-technical language, Data Science Strategy For Dummies outlines new perspectives and strategies to effectively lead analytics and data science functions to create real value.

A Winning Enterprise Data Strategy

Becoming A Data-Driven Organisation

Author: Robert Pranic

Publisher: N.A



Page: 26

View: 9918


Within any enterprise information needed to make decisions is key to the success of on-time, cost effective delivery of services to customers. Due to an all too common problem within many organisations of information (or data) 'sprawl' and a lack of data ownership/stewardship most enterprises spend far too much time, effort and money attempting to arrive at a sustainable data strategy. This primer document gives the enterprise a base data strategy that will be an efficient and cost-effective tool for any organisation undertaking the data journey.

Data Strategies to Uncover and Eliminate Hidden Inequities

The Wallpaper Effect

Author: Ruth S. Johnson,Robin Avelar La Salle

Publisher: Corwin Press

ISBN: 1452213909

Category: Education

Page: 312

View: 7058


Uncover buried data to close the achievement gap! Standardized test scores only reveal part of the story. Many hidden factors contribute to the achievement gap and chronic low school performance. The authors dramatically illustrate how to mine data from nontraditional sources—disciplinary policies, teacher attendance, special education referrals, and more—to uncover and eliminate systemic inequities. This solution-focused guide helps teachers and leaders: Ask the right questions Verify data that affects graduation rates, special education placement, and the achievement of English learners Effectively analyze data to improve student achievement Challenge the status quo and take action