Reading List: Big Data and Enterprise

August 4, 2014
General Foundation

The U.S. Chamber of Commerce Foundation has compiled a reading list for those interested in topics related to Big Data and data-driven innovation. This list includes articles from newspapers, magazines, websites, and academic journals. Many of the more notable articles are annotated.

The reading list is divided into 13 sections. (Read the full list here.)

 

The section below includes items offering an overview of Big Data and enterprise. To add to the list, email tlemke@uschamber.com

Big Data and Enterprise

Agarwal, R. et al. (2014) Enabling Big Data: Building the Capabilities that Really Matter, The  Boston Consulting Group Perspectives, May.

Baker, P (2014) “How Big Data Changes the Way You Think and Operate,” Fierce Big Data eBrief, April.

Baker, P. and Gourley, B. (2014) Data Divination: Big Data Strategies, Cengage Learning PTR.

Bertolucci, J. (2013) “Big Data’s New Buzzword: Datafication,” Information Week February.

Castro, D. and Korte, T. (2013) “Data Innovation 101: An Introduction to the Technologies and  Policies Behind Data-Driven Innovation,” The Center for Data Innovation.

This report provides an overview of how new technologies have improved storage, analytics, and communication of data, even while organizations have not embraced these tools as readily as they should. A call is made for policies to encourage data-driven innovation in both the public and private sectors.

Cisco (2011) “Big Data in the Enterprise: Network Design Considerations.”

---- (2011) “Big Data in the Enterprise: Network Design Considerations.” White Paper.

----  “Cisco UCS with ParAccel Analytic Platform Solution: Deliver Powerful Analytics

to Transform Business.”

Deighton, J. and Johnson, P. A. (2013) “The Value of Data: Consequences for Insight,

Innovation and  Efficiency in the U.S. Economy,” Harvard Business School Columbia University, October.

DMI Mobile Enterprise Solutions (2014), “M2M and Big Data are Transforming the World,” White Paper, April.

Dora, S., Smit, S. Viguerie, P. (2011) “Drawing a new road for growth,” The McKinseyQuarterly. 2011.2  p. 12.

Du Preez, D. (2012) “Big Data: hands on or hands off?”, Computing February 23.

---- (2011) “Big Data: How to Get the Board on Board,” Computing November.

The Economist (2011) “Building with Big Data,” March 26.

Gerhardt, B. et al. (2012) “Unlocking Value in the Fragmented World of Big Data Analytics: How Information Infomediaries Will Create a New Data Ecosystem,” Cisco Internet Business Solutions Group, June.

IBM (2014) “Better Business Outcomes with IBM Big Data & Analytics,” Thought

Leadership White Paper, January.

Linthicum, D. S. (2012) “Big Data Analytics Deep Dive: Deriving Meaning from the Data Explosion,” Infoworld.

This report provides an overview of the analytics tools, data sources, and the computing infrastructure that together make up big data. Special attention is paid to how businesses can benefit from big data analysis, focusing on specific cases, such as health care, retail, and transportation.

Manyika, J. et al. (2013) “Open Data: Unlocking Innovation and Performance with

Liquid Data,” McKinsey Global Institute, October.

This report outlines the benefits of open data in education, transportation, retail, energy, health, and finance. The authors estimate that these sectors of the economy could by themselves generate $3 trillion using open data. Policy recommendations are given for how to take advantage of open data while remaining sensitive to malfeasance.

Manyika, J. and Roxburgh, C. (2011) “The Great Transformer: the Impact of the Internet on Economic Growth and Prosperity, McKinsey Global Institute, October.

The authors argue that the disruptive force of the Internet will have a net positive effect on the 21st century global economy. In particular, by fueling growth in disadvantaged regions of the world, empowering consumers, and creating jobs and whole new industries, the Internet economy offers new possibilities for social and economic betterment. There is much room for growth, however, especially in developing nations and in the public sector where productivity lags.

Mills, M. P. (2012) “Rating Yelp as a Bellwether of the Social Media Tech Boom,” Forbes, March.

Provost, F. (2013) Data Science For Business: What You Need to Know about Data Mining and Data-Analytic Thinking. O’Reilly Media.

Saleh, T. et al. (2013) “The Age of Digital Ecosystems,” The Boston Consulting Group, July.

Schroek, M. et al (2012) The Real World Use of Big Data, IBM and the University of Oxford Said School of Business.

This report offers an overview of big data, distinguishing between various meanings given to the term. Specific big data initiatives are discussed and recommendations are given for how business can take further steps to adopt big data tools. The authors estimate that only 28% of organizations have implemented big data initiatives.

Surdak, C. (2014) Data Crush: How the information tidal wave is driving new business opportunities, AMACOM.

Waters, R. (2013) “Data open doors to financial innovation,” Financial Times, December.

Vesset, D. and Morris, H. (2013) Unlocking the Business Value of Big Data: Infosys BigDataEdge, IDC.

Vesset, D. and Villars, R. L. (2014) “Building a Datacenter Infrastructure to Support Your Big Data Plans,” IDC sponsored by Cisco in collaboration with Intel January.

 

---- & Competition

Angeles, S. (2014) “Big Data vs. CRM: How Can They Help Small Businesses?” Business News Daily, March.

This article provides an overview of Big Data and CRM (Customer Relations Management), defending the benefits of CRM. The relationship between Big Data and CRM is then outlined and a case is made for their mutual benefit, specifically for making small business more competitive.

Brynjolffson, E., Hamerbacher, J. Stevens, B. (2011) “Competing through data: three experts offer their game plans,” The McKinsey Quarterly, No. 4.

Currie, B. (2014) “Using Big Data to Disrupt the World in Your Favor,” Campaign, March 9.

Davenport, T. H. (2011) “Rethinking Knowledge Work: A Strategic Approach,” McKinsey Quarterly, February.

---- (2007) Competing on Analytics: The New Science of Winning. Harvard Business Press. 

Davenport, T. H., Harris, J. Shapiro, J. (2010) “Competing on Talent Analytics,” Harvard Business Review, October.

----& Employment

Autor, D. and Dorn, D. (2013) “How Technology Wrecks the Middle Class,” New York Times August.

The authors argue that increasing productivity, thanks to computerization and smart technology, is not resulting in reduced employment. However, as in previous historical stages of economic development, while increased productivity grows labor demand, it also results in replacing older high-skill jobs with newer lower-skill (e.g., automated) jobs. The result is a “polarization of employment, with job growth concentrated in both the highest- and lowest-paid occupations,” e.g., service jobs and abstract tasks-based jobs respectively, leaving fewer “in the middle.”  The result of this “hollowing out” is thus not decreased employment but growing disparity in income and in low quality jobs.

Besse, J. (2013) “Don’t Blame Technology for Persistent Unemployment,” The Denver Post September 30.

Brynjolfsson, E., and McAfee, A. (2011) Race Against The Machine: How the Digital  Revolution is Accelerating Innovation, Driving Productivity, and Irreversibly Transforming Employment and the Economy. Digital Frontier Press.

---- (2014) The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies, W. W. Norton & Company.

Condon, B. and Wiseman, P. (2013) “Millions Of Middle-Class Jobs Killed by Machines In Great Recession's Wake,” Huffington Post, January.

---- (2013) “Will Smart Machines Create a World without Work?” Huffington Post, January.

Condon, B., Fahey, J. and Wiseman, P. (2013) “Practically Human: Can Smart Machines Do Your Job?,” Huffington Post, January.

This piece discusses the impact advances in big data, cloud computing, and smart technologies are having and will continue to have on employment. The authors argue that the outlook is grim: middle-class jobs are shrinking as humans are forced to compete with increasingly powerful, cheap, and easy-to-use machines, which can accomplish tasks once reserved for human hands.

Davenport, T. H. and Patil, D. J. (2012) “Data Scientist: The Sexiest Job of the 21st Century,” Harvard Business Review, 61, October.

Dillow, C. (2013) “The Big Data Employment Boom,” CNN Money, September.

This article argues that big data is analogous to oil one century ago, except that the nature of the skills are higher tech. However, the author suggests that big data jobs will not, contrary to popular opinion, come only from people with technical backgrounds (for which there is a current and much-discussed shortfall) but will raise demand for managerial and decision-making skills, i.e., people from a wide range of backgrounds.

Economist, The (2014) “The Onrushing Wave,” The Economist, January.

Erlanger, L. (2009) “The Tech Jobs that the Cloud Will Eliminate,” InfoWorld, July.

The author argues that over the next decade, as the cloud is fully integrated into the economy, it will “absorb functions traditionally done by IT.” This will result in the creation of some IT jobs in the short term, but will ultimately lead to huge employment losses in IT.

Ezell, S. (2011). “Technology and Automation Create, Not Destroy, Jobs,” The Innovation Files, January.

Frey, C. B. and Osborne, M. (2013) “The Future of Employment: How Susceptible Are Jobs to Computerisation?,” Oxford University, September.

Frey, C. B. (2014) “Creative Destruction at Work,” Project Syndicate, July.

Goudreau, J.(2012) “Outlook 2012: Careers Headed for the Dustbin,” Forbes, February.

This article argues that that employment losses in Great Recession were caused or aggravated by advancing IT, which will only lead to further jobs losses in the future, especially in middle-skill high school education-requisite jobs, and government jobs like the postal service.

Kazt, L. & Margo, R. (2013) “Technical Change and the Relative Demand for Skilled Labor: the United States in Historical Perspective.” Presented at Human Capital and History: The American Record” Conference, Cambridge MA, 2012.

Lynch, D. (2012) “It’s a Man versus Machine Recovery,” Bloomberg Business Week Magazine, January.

Mills, M. P. (2012) “Follow Splunk into the Big Data Revolution that Changes the Jobs Equation,” Forbes, April.

---- (2012) “Amazon's Kiva Robot Acquisition is Bullish for Both Amazon and American Jobs,” Forbes, March.  

Shacklett, M. (2013) “In-demand Big Data Skills: A Mix of Old and New,” Between the Line, October.

Smith, N. (2013) “The End of Labor: How to Protect Workers From the Rise of Robots” The Atlantic, January.

The author argues that technological advance will make human labor obsolete as smart machines take over hitherto un-automated cognitive skillsets. Unlike previous technological advances, new smart technologies will not merely augment human abilities, leading to greater productivity and employment; instead, smart machines will render superfluous human skills, even higher cognitive ones. This will result in a maximally efficient but inequitable society, as the only jobs left outside of the narrow elite will be in low skills and service domains.

---- & Management

Baker, P. (2013) “Businesses Couple Intuition with Data for Better Outcomes,” Fierce Big Data, June.

Carlson, C. (2013) “Big Data Can't Supplant Instinct: Data Alone Can Lead to Efficiency, But Probably Not Genius,” Fierce Big Data, March.

Bradley, C., Hirt, M. Smit, S.(2011) “Have you tested your strategy lately?” The McKinsey Quarterly, Winter

Brynjolfsson, E. and McAfee, A. (2012) “Big Data: The Management Revolution,” Harvard Business Review.

The piece provides an overview of big data and focuses on its implications for business management. The authors argue that big data is transforming the nature of business management, specifically by allowing managers to “measure and hence know, radically more about their businesses, and directly translate that knowledge into improved decision making and performance.” Hence companies that are “born digital” will accomplish things that executives “could only dream of a generation ago” while traditional businesses stand to benefit by gaining competitive advantage. Also discussed are the obstacles, such as privacy challenges, to the widespread adoption of big data techniques.

Davenport, T. H. and Morison, R. (2010) Analytics at Work: Smarter Decision, Better Results. Harvard Business Press.

Davenport, T. H. and Snabe, J. H. (2011) “How Fast and Flexible Do You Want Your Information, Really?” MIT Sloan Management Review, Spring.

Emerald Publishing Group (2002) “Big Data needn’t be a big headache: How to tackle mind-blowing amounts of information,” Strategic Direction Vol. 28 Iss: 8, pp. 22-24.

Hopkins, B. and Evelson, B. (2011) “Expand Your Digital Horizon with Big Data,” Forrester, September.

Intel IT Center (2012) “Big Data Analytics: Intel’s IT Manager Survey on How Organizations Are Using Big Data, August.

Kelly, P. (2013) “Real-time Network Analytics Can Enable Faster, More Informed Business Decisions,” Analysys Mason, July.

Kerschbert, B. (2011) “Manufacturing Moneyball: Using Big Data and Business Intelligence to Spur Operational Excellence,” Forbes, November.

Madsbjerg, C. and Rasmussen, M. B. (2014) The Moment of Clarity: using the Human Sciences to Solve Your Toughest Business Problems. Harvard Business Review Press.

Rosenzweig, P. (2010) “Robert S. McNamara and the Evolution of Modern Management.” Harvard Business Review, pp 87-93, December.

---- & Marketing

Beales, J. H. and Eisenach, J. (2014) An Empirical Analysis Of The Value Of Information Sharing in the Market for Online Content, Navigant Economics.

Clifford, S. (2013) “Using Data to Stage‐Manage Paths to the Prescription Counter,” The New York Times, June.

Davenport, T. H., Mule, L. D. Lucker, J. (2011) “Know What Your Customers Want Before They Do,” Harvard Business Review, December.

Deutsch, T. (2013) “Real Time Versus Customer Time,” IBM Data Magazine, August.

Etzioni, O. et al. (2003) “To Buy or Not to Buy,” Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 119-128

Hodgson, B. (2010) “A Vital New Marketing Metric: The Network Value of a Customer,” Predictive Marketing: Optimize Your ROI with Analytics, September

IBM (2014) “Big Data Ups the Customer Analytics Game,” Forrester Consulting, commissioned by IMB, February.

Ozimek, A. (2013) “Will Big Data Bring More Price Discrimination?Forbes, September.

Schiller, B. (2014) “First Degree Price Discrimination Using Big Data,”  Brandeis Univ., Jan.  

A Review of the Data Broker Industry: Collection, Use, and Sale of Consumer Data for Marketing Purposes,” December.

 

---- & Trade

Business Software Alliance (2014) “Powering the Digital Economy: A Trade Agenda to Drive Growth,” BSA Software Alliance.

---- (2013) 2013 BSA Global Cloud Computing Scorecard: A Clear Path to Success.”

Castro, D. (2013) “The False Promise of Data Nationalism,” Information Technology and Innovation Foundation, December

Chander, A (2013) The Electronic Silk Road: How the Web Binds the World Together in Commerce, New Haven: Yale University Press.

Chander, A. and Le, U. P. (2014) “Breaking the Web : Data Localization vs. the Global Internet,”California International Law Center, March.

Christensen, L. et al. (2013). The Impact of the Data Protection Regulation in the E.U. February.

Cowhey, P and Kleeman, M.  (2012) “Unlocking the Benefits of Cloud Computing for Emerging Economies – A Policy Overview,” UC San Diego, School of International Relations and Pacific Studies.

Deloitte (2012) Measuring Facebook’s Economic Impact in Europe, January.

eBay, Inc. (2013) “Commerce 3.0 for Development: the promise of the Global Empowerment Network,” based on an empirical study conducted by Sidley Austin LLP, October.

---- (2013) “Micro-Multinationals, Global Consumers and the WTO: Towards a 21st Century Trade Regime.”

---- (2014) “Technology-Enabled Global Trade: The Opportunities and Challenges on the Road to 21st Century Commerce,” May.

European Commission (2013) “Restoring Trust in EU-US Data Flows,” Memo, November.

Ezell, S. J., Atkinson, R. D., Wein, M. A. (2013) “Localization Barriers to Trade: Threat to the Global Innovtaion Economy, Information Technology and Innovation Foundation, September.

Fleming, J. (2013)  “Booming data economy puts EU to the test,” EurActiv, April.

Gresser, E. (2014) “21st Century Trade Policy: The Internet and the Next generation’s Global Economy,” Progressive Economy January.

---- (2012)  Lines of Light: Data Flows as a Trade Policy Concept, Progressive Economy, May.

Hamel, M-P. and Marguerit, D. (2013) “Analyse des big data: Quels usages, quels défis?”

Commissariat général à la stratégie et à la prospective No. 8, November.

Hofheinz, P. and Mandel, M. (2014) “Bridging the Data Gap: How Digital Innovation Can Drive Growth and Create Jobs,” Progressive Policy Institute Policy Brief, Issue 15.

Kommerskollegium, Sweden National Board of Trade (2012) “E-commerce – New Opportunities, New Barriers: A Survey of E-commerce Barriers in Countries outside the EU,” November.

---- (2013) “No Transfer, No Trade: the Importance of Cross-Border Data Transfers for Companies Based in Sweden, January.

Lee-Makiyama, H. (2014) “The Costs of Data Localization: Friendly Fire on Economic

Recovery,” European Centre for International Political Economy, April.

London Economics (2013) “Implications of the European Commission’s Proposal for a General Data Protection Regulation for Business.”

Mandel, M. (2013) “Data, Trade, and Growth,” Progressive Policy Institute Working Paper, February/ May.

---- (2013) “Data, Trade, and Growth,” Mack Center for Technological Innovation, presented March.

---- (2012) “Beyond Goods and Services: The (Unmeasured) Rise of the Data-Driven Economy,” Progressive Policy Institute Policy Memo, October.

---- (2014) “Data, Trade and Growth,” Progressive Policy Institute Policy Memo, April.

Meltzer, J. (2013) “The Internet, Cross-Border Data Flows and International Trade,” Issues in Technology Innovation, No. 22, February.

---- (2014) “Supporting the Internet as a Platform for International Trade: Opportunities for Small and Medium-Sized Enterprises and Developing Countries,” The Brookings Institution.

Microsoft (2014) "Big and Open Data in Europe: A growth engine or missed opportunity?" Presented at the European Parliament in Brussels, January 29th.

Mulligan, M. and Card, D. (2014) “Sizing the EU App Economy,” Gigaom Research, February.

OECD (2013) “Internet Traffic Exchange: Market Development and Policy Challenges,” Directorate for Science, Technology and Industry, Committee for Information, Computer and Communications Policy, January.

Reding, V. (2014) A Data Protection Compact for Europe, by the Vice-President of the

European Commission, EU Justice Commissioner, January.

US Chamber of Commerce (2013) “The Economic Importance of Getting Data Protection Right: Protecting Privacy, Transmitting Data, Moving Commerce,” prepared by the European Centre for International Political Economy, March.

---- (2014) “Business without Borders: The Importance of Cross-Border Data Transfers to Global Prosperity.”

U.S. Department of Commerce (2014) “Digital Economy and Cross-Border Trade: the Value of Digitally-Deliverable Services,” January.

U.S. International Trade Commission (2013) “Digital Trade in the U.S. and Global, Economies, Part 1,” July.

World Trade Organization (2013), “E-Commerce in Developing Countries: Opportunities and Challenges for Small Medium-Sized Enterprises.”