data acquisition

Platform Scale: How an Emerging Business Model Helps Startups Build Large Empires With Minimum Investment

by Sangeet Paul Choudary  · 14 Sep 2015  · 302pp  · 73,581 words

scale. A platform’s ability to scale matchmaking helps it to achieve platform scale (see Figure 16). Matchmaking is accomplished through data. As a result, data acquisition becomes an important priority for platforms. Designing the data model – specifications for what data are required for the value unit and the filter – is a

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critical step in platform design. This informs a platform’s data acquisition strategy. Data acquisition is subtle but critical. LinkedIn’s progress bar encourages users to provide more data to the platform by showing them the completeness of their profiles

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consumers on the platform. To strengthen filters, platforms need to constantly acquire data about users. A scaling strategy for platforms is incomplete without an ongoing data acquisition strategy. Data acquisition must start right at the point of signing up, and must continue as the platform scales. For example, Pinterest asks users to ‘like’ a

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and keeping them engaged. A scaling strategy for platforms should involve: 1.Scaling of production 2.Scaling of consumption 3.Strengthening of filters through ongoing data acquisition 4.Scaling social curation 5.Scaling community culture 6.Minimizing interaction risk There are significant management challenges when scaling a network effects platform, which are

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of platform scale. Traditional pipe businesses lack a culture that focuses on the user and on external interactions. More importantly, they lack a culture of data acquisition and management. When traditional businesses see startups innovating, they tend to imitate these startups in the hope of achieving similar outcomes. Pipes interested in achieving

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platform evolution. In following this template, these large pipe businesses fail to factor in their unique advantage in user access and their unique disadvantage with data acquisition and management. This leads to a failure to innovate. This failure is all too often blamed on the organizational structures of large companies. Instead, many

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the end. In contrast, the journey to platform scale for a large pipe-based business starts with the data layer. 1. Build A Culture Of Data Acquisition The first step a traditional pipe-based business needs to take is cultural. It needs to create a culture of

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data acquisition. Most pipe-based businesses have been designed with a culture of dollar acquisition. Sales representatives who acquire revenue are incentivized accordingly. The key metrics measured

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the sole priority of dollar acquisition. To kickstart the journey towards platform scale, businesses will need to create a culture of data acquisition. Businesses like LinkedIn and Netflix demonstrate that higher data acquisition opens greater monetization opportunities. LinkedIn acquires significantly more data from its users than Monster. This has helped create a larger recruitment

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highly relevant jobs to professionals and their network and helps recruiters find the most relevant candidates. This is made possible by a relentless focus on data acquisition. For example, the progress bar on the website constantly urges users to enter more data by showing them how far they are from building a

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users. However, these apparently digital moves are often neither strategic nor transformative. A digital strategy should be evaluated from the lens of dollar acquisition and data acquisition. All digital services launched to users should be integrated at the data layer. More importantly, every service should serve either to acquire dollars or to

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store is flooded with free apps but not all of them are necessarily strategic in intent. To be strategic, a free app should be a data acquisition interface that powers a larger business model. Every app by Facebook is structured as a user benefit in exchange for data. Facebook’s news feed

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strategy, particularly one that intends to leverage platform scale, should start with a cohesive data strategy. This needs to be executed using a culture of data acquisition. 2. Enable Data Porosity And Integration Platform business models are enabled by platform organizations. An organization that is not integrated at the data layer cannot

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enable an ecosystem that is orchestrated by data. With a clear platform strategy in mind and having set a culture of data acquisition, a pipe organization must institute infrastructural change. It must start integrating its internal organization. The pipe business must integrate all processes, workflows, and touchpoints at

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implemented a centralized user focus often struggle with this, but any quest for platform scale will remain incomplete and ineffective without it. The move towards data acquisition and data porosity signify the two most important steps in the journey towards platform scale. Businesses that acquire and leverage data will find new ways

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in a manner that best leverages its advantages - access to a large user base - and acknowledges its disadvantages, stemming from a lack of focus on data acquisition and porosity. A FINAL NOTE In the course of my work helping large pipe organizations transform themselves for a platformed world, I regularly observe the

Our Final Invention: Artificial Intelligence and the End of the Human Era

by James Barrat  · 30 Sep 2013  · 294pp  · 81,292 words

knives through butter. The device that controlled DHS’ tortured generator is present throughout our national energy network. It is known as a supervisory control and data acquisition, or SCADA, system. SCADA systems don’t just control devices in the electrical grid, but all manner of modern hardware, including traffic lights, nuclear power

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dangerous and service jobs in sportswriting Rosenblatt, Frank Rowling, J. K. Rubin, Andrew “Runaround” (Asimov) Safe-AI Scaffolding Approach Sagan, Carl SCADA (supervisory control and data acquisition) systems Schmidt, Eric Schwartz, Evan Scientist Speculates, The (Good, ed.) Searle, John self-awareness Self-Aware Systems self-improvement self-preservation September 11 attacks serial

The Third Pillar: How Markets and the State Leave the Community Behind

by Raghuram Rajan  · 26 Feb 2019  · 596pp  · 163,682 words

difference is it would be controlled by the user. Indeed, new technologies like blockchains will help decentralize this process, and bargaining bots can help routinize data acquisition for a fee when corporations need vast amounts of data to train their artificial-intelligence applications.15 Another important source of power that e-platforms

Trading and Exchanges: Market Microstructure for Practitioners

by Larry Harris  · 2 Jan 2003  · 1,164pp  · 309,327 words

past prices. No price benchmark is perfect for estimating implicit transaction costs. Analysts must make trade-offs between estimation cost and various estimator properties. When data acquisition costs are no consideration, the implementation shortfall is the best transaction cost estimator. It is not subject to any of the biases discussed above. When

CTOs at Work

by Scott Donaldson, Stanley Siegel and Gary Donaldson  · 13 Jan 2012  · 458pp  · 135,206 words

, but it did give me the opportunity to work in the High Energy physics department. I supported some experiments, mostly on the technology side for data acquisition and analysis. I realized that physics wasn't really going to be my true love, but I enjoyed it immensely and had some great professors

Platform Revolution: How Networked Markets Are Transforming the Economy--And How to Make Them Work for You

by Sangeet Paul Choudary, Marshall W. van Alstyne and Geoffrey G. Parker  · 27 Mar 2016  · 421pp  · 110,406 words

well as all of the participant’s previous activities on the platform. As part of the design process, platform companies need to develop an explicit data acquisition strategy. Users vary greatly in their willingness to share data and their readiness to respond to data-driven activity recommendations. Some platforms use incentives to

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to sign in that don’t require a Facebook link. Successful platforms create mutually rewarding matches on a consistent basis. As such, continual improvement of data acquisition and analysis methods is an important challenge for any organization seeking to build and maintain a platform. Balancing the three functions. All three key functions

The Hacker and the State: Cyber Attacks and the New Normal of Geopolitics

by Ben Buchanan  · 25 Feb 2020  · 443pp  · 116,832 words

of the network and all that it controlled. The operational side of the network contained machines used for technical work known as supervisory control and data acquisition (SCADA). SCADA systems directly manage components of critical infrastructure all over the world. A hacker with the opportunity and skill to manipulate such a system

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, David, 147 Saudi Arabia: Aramco attack (Shamoon) and, 148–153, 159, 164, 165; hacking operations of, 317; listening stations in, 33 SCADA (supervisory control and data acquisition) systems, 192. See also blackouts in Ukraine; Stuxnet Schelling, Thomas, 4, 145, 310 Schmidt, Eric, 59 Schneier, Bruce, 256 Schultz, Debbie Wasserman, 225 ScreenOS, 76

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, 135; spread of, 134–142; versions of, 134–135 Su Bin, 99–102, 116 Sullivan, Margaret, 180 supernotes, 268–269, 270–271 supervisory control and data acquisition (SCADA) systems, 192. See also blackouts in Ukraine; Stuxnet surveillance, 21, 26; AT&T and, 21; checks and balances and, 55; internet companies and, 21

Dark Mirror: Edward Snowden and the Surveillance State

by Barton Gellman  · 20 May 2020  · 562pp  · 153,825 words

. Take a look farther down the cover page, I said, where “S35333” appears in smaller type. S stands for the Signals Intelligence Directorate, S3 for Data Acquisition, and each digit after that identifies a subordinate function. S353, the eagle people at Special Source Operations, pulled in monumental flows of information from the

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was its collection manager and chief evangelist. The wire diagram of the NSA that year placed Rick’s operation within the unassumingly named subdirectorate of Data Acquisition, an arm of the Signals Intelligence Directorate. That is to say, Rick ran a spy shop, which is not a redundant thing to say in

The Transhumanist Reader

by Max More and Natasha Vita-More  · 4 Mar 2013  · 798pp  · 240,182 words

hundred billion (1011) neurons and between one hundred trillion (1014) and one quadrillion (1015) synapses. But we have reached a point where for purposes of data acquisition these objects are now considered fairly large (e.g. 200 nm to 2,000 nm for synaptic spines and 4,000 nm to 100,000

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). Ken Hayworth is presently working on its successor that employs focused ion beam scanning electron microscopy (FIBSEM) to improve accuracy, reliability, and speed of structural data acquisition from whole brains at a resolution of 5 nm (Hayworth 2011). Meanwhile, the Knife-Edge Scanning Microscope (KESM) developed by Bruce McCormick is presently able

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we rely exclusively on data obtained from structure is that it becomes very difficult to verify corrections that need to be made when there are data acquisition or reconstruction errors. Similarly, it is in principle possible to deduce a functional connectivity map from a purely functional acquisition of brain data. The functional

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is plastic. Components may change their responses as a result of the exercises. Latent function may be better obtained from structural data acquisition. Even if purely structural or purely functional data acquisition could provide all the necessary information for a whole brain emulation, then such a constraint would still carry a burden of risk

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unobtainable feedback about mechanistic hypotheses that are relevant to WBE. Peter Passaro (University of Sussex) is working on a ­systematic automation scheme for research and data acquisition essential to WBE, and on suitable model conventions that build on work by Chris Eliasmith (University of Waterloo) (Eliasmith and Anderson 2003). As in the

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networks of the nematode C. Elegans. He is doing this to test one of the hypotheses with significant consequences for chosen methods in WBE: Can data acquisition and re-implementation result in an emulation that satisfies the objectives of WBE without needing to acquire data at the molecular level? The results may

The Design and Engineering of Curiosity: How the Mars Rover Performs Its Job

by Emily Lakdawalla  · 5 Mar 2018  · 571pp  · 111,306 words

major improvements. Mastcam promised the possibility of color, stereo, high-definition video of rover traverses across Mars. APXS would have higher spatial resolution and speedier data acquisition than ever before. The novel instruments were just as exciting. ChemCam would provide remote elemental analysis capability unlike anything seen on a Mars mission before

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, in turn, increases the sensitivity of the Curiosity APXS by a factor of 3; reduces the spot size of an APXS measurement; and speeds up data acquisition by a factor of 5. Curiosity’s APXS can get a “quick look” measurement of the major elements in only 20 minutes, and high-quality

Infonomics: How to Monetize, Manage, and Measure Information as an Asset for Competitive Advantage

by Douglas B. Laney  · 4 Sep 2017  · 374pp  · 94,508 words

The AI-First Company

by Ash Fontana  · 4 May 2021  · 296pp  · 66,815 words

Superintelligence: Paths, Dangers, Strategies

by Nick Bostrom  · 3 Jun 2014  · 574pp  · 164,509 words

Cybersecurity: What Everyone Needs to Know

by P. W. Singer and Allan Friedman  · 3 Jan 2014  · 587pp  · 117,894 words

Data Science for Business: What You Need to Know About Data Mining and Data-Analytic Thinking

by Foster Provost and Tom Fawcett  · 30 Jun 2013  · 660pp  · 141,595 words

Machines of Loving Grace: The Quest for Common Ground Between Humans and Robots

by John Markoff  · 24 Aug 2015  · 413pp  · 119,587 words

Big Data at Work: Dispelling the Myths, Uncovering the Opportunities

by Thomas H. Davenport  · 4 Feb 2014

Data Wrangling With Python: Tips and Tools to Make Your Life Easier

by Jacqueline Kazil  · 4 Feb 2016

The Silent Intelligence: The Internet of Things

by Daniel Kellmereit and Daniel Obodovski  · 19 Sep 2013  · 138pp  · 40,787 words

The Story of Crossrail

by Christian Wolmar  · 5 Sep 2018  · 292pp  · 85,381 words

Future Crimes: Everything Is Connected, Everyone Is Vulnerable and What We Can Do About It

by Marc Goodman  · 24 Feb 2015  · 677pp  · 206,548 words

The Quest: Energy, Security, and the Remaking of the Modern World

by Daniel Yergin  · 14 May 2011  · 1,373pp  · 300,577 words

Competing on Analytics: The New Science of Winning

by Thomas H. Davenport and Jeanne G. Harris  · 6 Mar 2007  · 233pp  · 67,596 words

The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling

by Ralph Kimball and Margy Ross  · 30 Jun 2013

Digital Accounting: The Effects of the Internet and Erp on Accounting

by Ashutosh Deshmukh  · 13 Dec 2005

A Man on the Moon

by Andrew Chaikin  · 1 Jan 1994  · 816pp  · 242,405 words

Big Data Analytics: Turning Big Data Into Big Money

by Frank J. Ohlhorst  · 28 Nov 2012  · 133pp  · 42,254 words

WTF?: What's the Future and Why It's Up to Us

by Tim O'Reilly  · 9 Oct 2017  · 561pp  · 157,589 words

Nuclear War: A Scenario

by Annie Jacobsen  · 25 Mar 2024  · 444pp  · 105,807 words

Data Mining: Concepts, Models, Methods, and Algorithms

by Mehmed Kantardzić  · 2 Jan 2003  · 721pp  · 197,134 words

The Googlization of Everything:

by Siva Vaidhyanathan  · 1 Jan 2010  · 281pp  · 95,852 words

Smart Cities: Big Data, Civic Hackers, and the Quest for a New Utopia

by Anthony M. Townsend  · 29 Sep 2013  · 464pp  · 127,283 words

Dawn of the Code War: America's Battle Against Russia, China, and the Rising Global Cyber Threat

by John P. Carlin and Garrett M. Graff  · 15 Oct 2018  · 568pp  · 164,014 words

Beautiful Visualization

by Julie Steele  · 20 Apr 2010

In the Age of the Smart Machine

by Shoshana Zuboff  · 14 Apr 1988

The New New Thing: A Silicon Valley Story

by Michael Lewis  · 29 Sep 1999  · 146pp  · 43,446 words

Beautiful Data: The Stories Behind Elegant Data Solutions

by Toby Segaran and Jeff Hammerbacher  · 1 Jul 2009

The New Digital Age: Transforming Nations, Businesses, and Our Lives

by Eric Schmidt and Jared Cohen  · 22 Apr 2013  · 525pp  · 116,295 words

Of a Fire on the Moon

by Norman Mailer  · 2 Jun 2014  · 477pp  · 165,458 words

Dark Territory: The Secret History of Cyber War

by Fred Kaplan  · 1 Mar 2016  · 383pp  · 105,021 words

Smart Grid Standards

by Takuro Sato  · 17 Nov 2015

The Fifth Domain: Defending Our Country, Our Companies, and Ourselves in the Age of Cyber Threats

by Richard A. Clarke and Robert K. Knake  · 15 Jul 2019  · 409pp  · 112,055 words

The Costs of Connection: How Data Is Colonizing Human Life and Appropriating It for Capitalism

by Nick Couldry and Ulises A. Mejias  · 19 Aug 2019  · 458pp  · 116,832 words

@War: The Rise of the Military-Internet Complex

by Shane Harris  · 14 Sep 2014  · 340pp  · 96,149 words

Pinpoint: How GPS Is Changing Our World

by Greg Milner  · 4 May 2016  · 385pp  · 103,561 words

Prediction Machines: The Simple Economics of Artificial Intelligence

by Ajay Agrawal, Joshua Gans and Avi Goldfarb  · 16 Apr 2018  · 345pp  · 75,660 words

Cyber War: The Next Threat to National Security and What to Do About It

by Richard A. Clarke and Robert Knake  · 15 Dec 2010  · 282pp  · 92,998 words

This Is for Everyone: The Captivating Memoir From the Inventor of the World Wide Web

by Tim Berners-Lee  · 8 Sep 2025  · 347pp  · 100,038 words

Why Machines Learn: The Elegant Math Behind Modern AI

by Anil Ananthaswamy  · 15 Jul 2024  · 416pp  · 118,522 words

Area 51: An Uncensored History of America's Top Secret Military Base

by Annie Jacobsen  · 16 May 2011  · 572pp  · 179,024 words

Masterminds of Programming: Conversations With the Creators of Major Programming Languages

by Federico Biancuzzi and Shane Warden  · 21 Mar 2009  · 496pp  · 174,084 words

The Future of the Brain: Essays by the World's Leading Neuroscientists

by Gary Marcus and Jeremy Freeman  · 1 Nov 2014  · 336pp  · 93,672 words

Code Complete (Developer Best Practices)

by Steve McConnell  · 8 Jun 2004  · 1,758pp  · 342,766 words

Reset

by Ronald J. Deibert  · 14 Aug 2020

Silence on the Wire: A Field Guide to Passive Reconnaissance and Indirect Attacks

by Michal Zalewski  · 4 Apr 2005  · 412pp  · 104,864 words

The Secret Lives of Bats

by Merlin Tuttle  · 281pp  · 83,974 words

Countdown to Zero Day: Stuxnet and the Launch of the World's First Digital Weapon

by Kim Zetter  · 11 Nov 2014  · 492pp  · 153,565 words

The Rise of Superman: Decoding the Science of Ultimate Human Performance

by Steven Kotler  · 4 Mar 2014  · 330pp  · 88,445 words

Autonomous Driving: How the Driverless Revolution Will Change the World

by Andreas Herrmann, Walter Brenner and Rupert Stadler  · 25 Mar 2018

Solr in Action

by Trey Grainger and Timothy Potter  · 14 Sep 2014  · 1,085pp  · 219,144 words

House of Suns

by Alastair Reynolds  · 16 Apr 2008  · 635pp  · 186,208 words

Great North Road

by Peter F. Hamilton  · 26 Sep 2012  · 1,266pp  · 344,635 words

Strategy Strikes Back: How Star Wars Explains Modern Military Conflict

by Max Brooks, John Amble, M. L. Cavanaugh and Jaym Gates  · 14 May 2018  · 278pp  · 84,002 words

The Patient Will See You Now: The Future of Medicine Is in Your Hands

by Eric Topol  · 6 Jan 2015  · 588pp  · 131,025 words

Warnings

by Richard A. Clarke  · 10 Apr 2017  · 428pp  · 121,717 words

The Measure of Progress: Counting What Really Matters

by Diane Coyle  · 15 Apr 2025  · 321pp  · 112,477 words

The Mutant Project: Inside the Global Race to Genetically Modify Humans

by Eben Kirksey  · 10 Nov 2020  · 599pp  · 98,564 words

The Transparent Society: Will Technology Force Us to Choose Between Privacy and Freedom?

by David Brin  · 1 Jan 1998  · 205pp  · 18,208 words

Moon Rush: The New Space Race

by Leonard David  · 6 May 2019

Building Habitats on the Moon: Engineering Approaches to Lunar Settlements

by Haym Benaroya  · 12 Jan 2018  · 571pp  · 124,448 words

To Save Everything, Click Here: The Folly of Technological Solutionism

by Evgeny Morozov  · 15 Nov 2013  · 606pp  · 157,120 words

Whiplash: How to Survive Our Faster Future

by Joi Ito and Jeff Howe  · 6 Dec 2016  · 254pp  · 76,064 words

Mastering Blockchain, Second Edition

by Imran Bashir  · 28 Mar 2018

If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All

by Eliezer Yudkowsky and Nate Soares  · 15 Sep 2025  · 215pp  · 64,699 words

What's Yours Is Mine: Against the Sharing Economy

by Tom Slee  · 18 Nov 2015  · 265pp  · 69,310 words

Bad Pharma: How Medicine Is Broken, and How We Can Fix It

by Ben Goldacre  · 1 Jan 2012  · 402pp  · 129,876 words

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Project Hail Mary

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by Steven Johnson  · 5 Oct 2010  · 298pp  · 81,200 words

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by Ray Kurzweil  · 14 Jul 2005  · 761pp  · 231,902 words

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Black Code: Inside the Battle for Cyberspace

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Testing Extreme Programming

by Lisa Crispin and Tip House  · 15 Apr 2003  · 448pp  · 84,462 words

Graph Databases

by Ian Robinson, Jim Webber and Emil Eifrem  · 13 Jun 2013  · 201pp  · 63,192 words

Every Patient Tells a Story

by Lisa Sanders  · 15 Jan 2009  · 314pp  · 101,034 words

This Will Make You Smarter: 150 New Scientific Concepts to Improve Your Thinking

by John Brockman  · 14 Feb 2012  · 416pp  · 106,582 words

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by Mark Masse  · 19 Oct 2011  · 153pp  · 27,424 words

Sandworm: A New Era of Cyberwar and the Hunt for the Kremlin's Most Dangerous Hackers

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by Gareth Dennis  · 12 Nov 2024  · 261pp  · 76,645 words

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