How to Profit from a World of Big Data, Analytics and the Internet of Things
Author: Bernard Marr
Publisher: Kogan Page Publishers
Category: Business & Economics
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.
How to Use Analytics and Metrics to Drive Performance
Author: Bernard Marr
Publisher: Kogan Page Publishers
Category: Business & Economics
Traditionally seen as a purely people function unconcerned with numbers, HR is now uniquely placed to use company data to drive performance, both of the people in the organization and the organization as a whole. Data-Driven HR is a practical guide which enables HR professionals to leverage the value of the vast amount of data available at their fingertips. Covering how to identify the most useful sources of data, collect information in a transparent way that is in line with data protection requirements and turn this data into tangible insights, this book marks a turning point for the HR profession. Covering all the key elements of HR including recruitment, employee engagement, performance management, wellbeing and training, Data-Driven HR examines the ways data can contribute to organizational success by, among other things, optimizing processes, driving performance and improving HR decision making. Packed with case studies and real-life examples, this is essential reading for all HR professionals looking to make a measurable difference in their organizations.
Learn how to succeed in the digital economy The paradigms of big business have changed. Business models that were once lucrative now seem to barely move the needle. Incumbents of the old guard find themselves superseded by new, digitally-charged, data-fuelled organisations that leverage platform-based business models. How can pre-digital businesses survive? They’re loaded with resources, brand power and deeply embedded networks, they just need a new playbook. Chasing Digital is that playbook. Outlining a clear and detailed framework, this book is designed to help leaders re-design their organisation from the bottom up by leveraging their strengths to create a new competitive advantage in the digital economy. From laying the foundations of transformation: developing a considered strategy, growing a conducive culture and building a receptive organisational design; to building core digital capabilities: taking advantage of data, harnessing artificial intelligence and embracing appropriate platforms; to adapting the accelerators of change: navigating board expectations, mitigating potential roadblocks and making the right investments, this playbook will give you the tools and mindsets needed to not only survive but to thrive and leave a legacy for future leaders. Integrate technology into your business strategy and culture Prioritise and manage your company’s digital transition Create opportunities for fast and intentional digital growth Learn how to minimise friction with stakeholders Cut through the jargon and hype, and focus on what is critical to undertaking a truly successful, company-wide, digital transformation. In a world where digital is changing everything, Chasing Digital will help your organisation to transition beyond old business models to adopt the new digital paradigm and a new era of business. Embrace the chase.
Explorations of Emerging Technologies and Platforms for Predictive Analytics, Machine Learning, Digital Manufacturing and Supply Chain Optimization
Author: Mike Barlow
Publisher: "O'Reilly Media, Inc."
Category: BUSINESS & ECONOMICS
Until recently, many people thought big data was a passing fad. "Data science" was an enigmatic term. Today, big data is taken seriously, and data science is considered downright sexy. With this anthology of reports from award-winning journalist Mike Barlow, you’ll appreciate how data science is fundamentally altering our world, for better and for worse. Barlow paints a picture of the emerging data space in broad strokes. From new techniques and tools to the use of data for social good, you’ll find out how far data science reaches. With this anthology, you’ll learn how: Analysts can now get results from their data queries in near real time Indie manufacturers are blurring the lines between hardware and software Companies try to balance their desire for rapid innovation with the need to tighten data security Advanced analytics and low-cost sensors are transforming equipment maintenance from a cost center to a profit center CIOs have gradually evolved from order takers to business innovators New analytics tools let businesses go beyond data analysis and straight to decision-making Mike Barlow is an award-winning journalist, author, and communications strategy consultant. Since launching his own firm, Cumulus Partners, he has represented major organizations in a number of industries.
In an age where everything is measurable, understanding big data is an essential. From creating new data-driven products through to increasing operational efficiency, big data has the potential to make your organization both more competitive and more innovative. As this emerging field transitions from the bleeding edge to enterprise infrastructure, it's vital to understand not only the technologies involved, but the organizational and cultural demands of being data-driven. Written by O'Reilly Radar's experts on big data, this anthology describes: The broad industry changes heralded by the big data era What big data is, what it means to your business, and how to start solving data problems The software that makes up the Hadoop big data stack, and the major enterprise vendors' Hadoop solutions The landscape of NoSQL databases and their relative merits How visualization plays an important part in data work
Companies understand that their ability to compete is tied directly to their ability to leverage the very latest technology advances. Fortunately, deploying new technology has never been easier, primarily due to early maturity and cloud delivery. One approach that is helping companies rapidly pilot and affordably deploy new technologies is ready technology, a new category of information technology (IT). This book explains the ready technology adoption process in detail, enabling companies to exploit new technology immediately and effectively. In this book, the author challenges the traditional "requirements-first/technology-second" approach to technology deployment. Espousing a "technology-first/requirements-second" approach, the author explains how business solutions are "discovered" by deploying—not studying—ready technology. The book covers the latest trends and processes in ready technology. It also describes the characteristics of ready companies and recommends ready technology pilots that should be launched by the following industries: higher education, retail, and healthcare.
Vast holdings and assessment of consumer data by large companies are not new phenomena. Firms' ability to leverage the data to reach customers in targeted campaigns and gain market share is, and on an unprecedented scale. Major companies have moved from serving as data or inventory storehouses, suppliers, and exchange mechanisms to monetizing their data and expanding the products they offer. Such changes have implications for both firms and consumers in the coming years. In From Big Data to Big Profits, Russell Walker investigates the use of internal Big Data to stimulate innovations for operational effectiveness, and the ways in which external Big Data is developed for gauging, or even prompting, customer buying decisions. Walker examines the nature of Big Data, the novel measures they create for market activity, and the payoffs they can offer from the connectedness of the business and social world. With case studies from Apple, Netflix, Google, and Amazon, Walker both explores the market transformations that are changing perceptions of Big Data, and provides a framework for assessing and evaluating Big Data. Although the world appears to be moving toward a marketplace where consumers will be able to "pull" offers from firms, rather than simply receiving offers, Walker observes that such changes will require careful consideration of legal and unspoken business practices as they affect consumer privacy. Rigorous and meticulous, From Big Data to Big Profits is a valuable resource for graduate students and professionals with an interest in Big Data, digital platforms, and analytics.
How the Convergence of Cloud, Mobility, Apps, and Data Will Shape the Future of Business
Author: Scott Stawski
Publisher: FT Press
Category: Business & Economics
Today, a hurricane is forming, and businesses are headed straight into it. This hurricane is arising from the convergence of several enormous trends in information technology, including cloud, mobility, Software as a Service, and Big Data. In Inflection Point, Scott Stawski shows how to harness these fierce winds of change, put them at your back, and sail towards greater competitiveness and customer value. Stawski explains the strategic implications of today’s new technology paradigms, helping you reshape strategy to embrace and profit from them. You’ll discover how technology and other factors are driving a radical new round of disintermediation, reintermediation, and disruption–and what that means to you and your company. Stawski shows how to go beyond inadequate incremental improvements, dramatically reducing IT spend and virtually eliminating IT capital expenditures. One meaningful step at a time, you’ll learn how to transform Operational IT into both a utility and a true business enabler, bringing new speed, flexibility, and focus to what really matters: your true core competencies. BUILD A CONTINUAL TRANSFORMATION ENVIRONMENT THAT’S READY FOR ANYTHING Focus on high-value core competencies, not fixed assets or unchanging processes CONSUME IT THE WAY YOU CONSUME ELECTRICITY Stop running data centers, buying software, and managing applications–forever! LEVERAGE THE CLOUD’S SIMPLICITY WITHOUT LOSING CONTROL OR SECURITY Use standards and governance to maximize cloud benefits with minimal risk HARNESS THE PRECIOUS ASSET YOU MUST ALWAYS KEEP CLOSE: DATA Build data-centric operations to deliver the right knowledge, right now, wherever it’s needed
We create more data in a day then we did from the dawn of man through 2003 and approximately 90% of all the world's data has been created in the past 2 years. What does this mean to you? In The Big Data Revolution we explore this very question and reveal the data secrets your competitors don't want you to know. Our world is transforming as the data deluge knocks us out of our old ways and into the data driven reality. Some companies are winning by taking advantages of the opportunities in this evolving world while others are falling behind. Pioneers like Amazon, Target, and Google are blazing a trail that we can follow, and in The Big Data Revolution we help you do just that. Big Data promises to give us a world driven by information and solid data, bringing far greater productivity, increased profits, and lower costs; and in The Big Data Revolution we explore those winning strategies and techniques and the tools behind them. Want to learn how companies like Amazon, Target, and IBM use data to gain competitive advantages? Or how Obama used Big Data tools to better utilize his resources? The Big Data Revolution was written for the non-or-only-slightly-technical business person in mind--but in a way that gives you enough meat behind the ideas so that you have a road map that tells you how to get where you want to go. It uses real-world examples and case studies to illustrates the concepts and explore the technology that makes them happen. The Big Data Revolution is comprised of four parts: Part 1: Data Science In Part 1 we first introduce you to the world of data science and analytics. These are the tools companies and governments use to refine their crude data into valuable insights. In this section, we'll look at the magic behind Amazon's success, and see how data is leading towards a near Minority Report future. Part 2: Big Data Data is growing at an exceptional rate, we produce more data now in a day than we did from the dawn of man till 2003. This explosion of data creates many unique struggles as well as opportunities. In this section we'll look at how Obama invested in Big Data during his presidential campaign, and explore how startups are revealing data that saves their clients substantial capital. Part 3: Tools of the trade Data Scientists cannot just look at big data and get value from it, it doesn't matter how good they are. The data is just too big. So companies like IBM and Microsoft build tools that help people make sense of data, and hopefully discover new useful insights from it. The two primary categories of tools you need to be aware of are Business Intelligence and Data Discovery. In this section we explore these broad terms, and show how companies are designing more specialized tools for specific purposes. Part 4: Gazing into the Future In order to position yourself well for what is to come you need to know where we are now and almost more importantly where we are going to be in the near future. In this section we explore the trends that are going to matter as we move forward in this emerging technology industry. Computerized Data Analytics is truly still in its early stages of development, and things are going to change as new innovations come to the forefront. If we are serious about gaining the data advantage, we need to stay ahead of this curve. The Big Data Revolution is your tool to understanding this complex new reality of your world. Get it today and don't miss out on the data driven future. The world is changing. Are you ready?