Four Problems with Data Today
The behavior of many business people today reminds one of a breadline. These employees are the data‐poor, waiting around at the end of the day on the data breadline. Data breadlines cause many problems present in most teams and businesses today. Employees must wait quite a while to receive the data...
Gespeichert in:
Format: | Buchkapitel |
---|---|
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 22 |
---|---|
container_issue | |
container_start_page | 15 |
container_title | |
container_volume | |
description | The behavior of many business people today reminds one of a breadline. These employees are the data‐poor, waiting around at the end of the day on the data breadline. Data breadlines cause many problems present in most teams and businesses today. Employees must wait quite a while to receive the data they need to decide how to move forward, slowing the progress of the company. Only a few select data engineers understand how the labyrinths of data are organized. Sometimes, even expert data analysts lose their bearings, which results in slow response times and inaccurate responses to queries. Duplicated, isolated rogue datasets create fragment data in silos. Data fragmentation has an insidious consequence. It incites data brawls, where people shout, yell, and labor over figures that just do not seem to align and that point to diametrically different conclusions. |
doi_str_mv | 10.1002/9781119287629.ch2 |
format | Book Chapter |
fullrecord | <record><control><sourceid>wiley</sourceid><recordid>TN_cdi_wiley_ebooks_10_1002_9781119287629_ch2_ch2</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10.1002/9781119287629.ch2</sourcerecordid><originalsourceid>FETCH-wiley_ebooks_10_1002_9781119287629_ch2_ch23</originalsourceid><addsrcrecordid>eNpjYJA0NNAzNDAw0rc0tzA0NLQ0sjA3M7LUS84wYmTggguYMUM5puZGxpYcDLzFxZlJBkYmxubmhgbmnAyybvmlRQoBRflJOam5xQrlmSUZCi6JJYkKIfkpiZU8DKxpiTnFqbxQmpvB0M01xNlDtzwzJ7UyPjUpPz-7ON7QIB7kkHgUh8QDHQLCxtwMulj0oKqtyiwAqy9ISTMmxw4Am5BIfg</addsrcrecordid><sourcetype>Enrichment Source</sourcetype><iscdi>true</iscdi><recordtype>book_chapter</recordtype></control><display><type>book_chapter</type><title>Four Problems with Data Today</title><source>O'Reilly Online Learning: Academic/Public Library Edition</source><contributor>Tunguz, Tomasz ; Bien, Frank</contributor><creatorcontrib>Tunguz, Tomasz ; Bien, Frank</creatorcontrib><description>The behavior of many business people today reminds one of a breadline. These employees are the data‐poor, waiting around at the end of the day on the data breadline. Data breadlines cause many problems present in most teams and businesses today. Employees must wait quite a while to receive the data they need to decide how to move forward, slowing the progress of the company. Only a few select data engineers understand how the labyrinths of data are organized. Sometimes, even expert data analysts lose their bearings, which results in slow response times and inaccurate responses to queries. Duplicated, isolated rogue datasets create fragment data in silos. Data fragmentation has an insidious consequence. It incites data brawls, where people shout, yell, and labor over figures that just do not seem to align and that point to diametrically different conclusions.</description><identifier>ISBN: 1119257239</identifier><identifier>ISBN: 9781119257233</identifier><identifier>EISBN: 1119287626</identifier><identifier>EISBN: 9781119287629</identifier><identifier>DOI: 10.1002/9781119287629.ch2</identifier><language>eng</language><publisher>Hoboken, NJ, USA: John Wiley & Sons, Inc</publisher><subject>data brawls ; data breadlines ; data‐poor ; fragmented data ; obscured data</subject><ispartof>Winning with Data, 2016, p.15-22</ispartof><rights>Copyright © 2016 by Tomasz Tunguz and Frank Bien</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>776,777,781,790,27906</link.rule.ids></links><search><contributor>Tunguz, Tomasz</contributor><contributor>Bien, Frank</contributor><title>Four Problems with Data Today</title><title>Winning with Data</title><description>The behavior of many business people today reminds one of a breadline. These employees are the data‐poor, waiting around at the end of the day on the data breadline. Data breadlines cause many problems present in most teams and businesses today. Employees must wait quite a while to receive the data they need to decide how to move forward, slowing the progress of the company. Only a few select data engineers understand how the labyrinths of data are organized. Sometimes, even expert data analysts lose their bearings, which results in slow response times and inaccurate responses to queries. Duplicated, isolated rogue datasets create fragment data in silos. Data fragmentation has an insidious consequence. It incites data brawls, where people shout, yell, and labor over figures that just do not seem to align and that point to diametrically different conclusions.</description><subject>data brawls</subject><subject>data breadlines</subject><subject>data‐poor</subject><subject>fragmented data</subject><subject>obscured data</subject><isbn>1119257239</isbn><isbn>9781119257233</isbn><isbn>1119287626</isbn><isbn>9781119287629</isbn><fulltext>true</fulltext><rsrctype>book_chapter</rsrctype><creationdate>2016</creationdate><recordtype>book_chapter</recordtype><sourceid/><recordid>eNpjYJA0NNAzNDAw0rc0tzA0NLQ0sjA3M7LUS84wYmTggguYMUM5puZGxpYcDLzFxZlJBkYmxubmhgbmnAyybvmlRQoBRflJOam5xQrlmSUZCi6JJYkKIfkpiZU8DKxpiTnFqbxQmpvB0M01xNlDtzwzJ7UyPjUpPz-7ON7QIB7kkHgUh8QDHQLCxtwMulj0oKqtyiwAqy9ISTMmxw4Am5BIfg</recordid><startdate>20160405</startdate><enddate>20160405</enddate><general>John Wiley & Sons, Inc</general><scope/></search><sort><creationdate>20160405</creationdate><title>Four Problems with Data Today</title></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-wiley_ebooks_10_1002_9781119287629_ch2_ch23</frbrgroupid><rsrctype>book_chapters</rsrctype><prefilter>book_chapters</prefilter><language>eng</language><creationdate>2016</creationdate><topic>data brawls</topic><topic>data breadlines</topic><topic>data‐poor</topic><topic>fragmented data</topic><topic>obscured data</topic><toplevel>online_resources</toplevel></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tunguz, Tomasz</au><au>Bien, Frank</au><format>book</format><genre>bookitem</genre><ristype>CHAP</ristype><atitle>Four Problems with Data Today</atitle><btitle>Winning with Data</btitle><date>2016-04-05</date><risdate>2016</risdate><spage>15</spage><epage>22</epage><pages>15-22</pages><isbn>1119257239</isbn><isbn>9781119257233</isbn><eisbn>1119287626</eisbn><eisbn>9781119287629</eisbn><abstract>The behavior of many business people today reminds one of a breadline. These employees are the data‐poor, waiting around at the end of the day on the data breadline. Data breadlines cause many problems present in most teams and businesses today. Employees must wait quite a while to receive the data they need to decide how to move forward, slowing the progress of the company. Only a few select data engineers understand how the labyrinths of data are organized. Sometimes, even expert data analysts lose their bearings, which results in slow response times and inaccurate responses to queries. Duplicated, isolated rogue datasets create fragment data in silos. Data fragmentation has an insidious consequence. It incites data brawls, where people shout, yell, and labor over figures that just do not seem to align and that point to diametrically different conclusions.</abstract><cop>Hoboken, NJ, USA</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1002/9781119287629.ch2</doi><tpages>8</tpages></addata></record> |
fulltext | fulltext |
identifier | ISBN: 1119257239 |
ispartof | Winning with Data, 2016, p.15-22 |
issn | |
language | eng |
recordid | cdi_wiley_ebooks_10_1002_9781119287629_ch2_ch2 |
source | O'Reilly Online Learning: Academic/Public Library Edition |
subjects | data brawls data breadlines data‐poor fragmented data obscured data |
title | Four Problems with Data Today |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-17T16%3A04%3A18IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-wiley&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=bookitem&rft.atitle=Four%20Problems%20with%20Data%20Today&rft.btitle=Winning%20with%20Data&rft.au=Tunguz,%20Tomasz&rft.date=2016-04-05&rft.spage=15&rft.epage=22&rft.pages=15-22&rft.isbn=1119257239&rft.isbn_list=9781119257233&rft_id=info:doi/10.1002/9781119287629.ch2&rft_dat=%3Cwiley%3E10.1002/9781119287629.ch2%3C/wiley%3E%3Curl%3E%3C/url%3E&rft.eisbn=1119287626&rft.eisbn_list=9781119287629&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |