Data Analytics in SMEs: Trends and Policies
The report contextualises the role of data analytics in the ongoing digital revolution and its potential for SME performance, including for enhancing SME productivity. It presents evidence on the use of data analytics in SMEs, discusses main internal and external barriers to the use of data analytic...
Gespeichert in:
1. Verfasser: | |
---|---|
Weitere Verfasser: | |
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Paris
OECD Publishing
2019
|
Schriftenreihe: | OECD SME and Entrepreneurship Papers
|
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | The report contextualises the role of data analytics in the ongoing digital revolution and its potential for SME performance, including for enhancing SME productivity. It presents evidence on the use of data analytics in SMEs, discusses main internal and external barriers to the use of data analytics by SMEs, and illustrates policy approaches to foster data-driven decision-making in SMEs |
Beschreibung: | 1 Online-Ressource (44 Seiten) 21 x 29.7cm |
DOI: | 10.1787/1de6c6a7-en |
Internformat
MARC
LEADER | 00000nam a2200000zc 4500 | ||
---|---|---|---|
001 | BV047935920 | ||
003 | DE-604 | ||
007 | cr|uuu---uuuuu | ||
008 | 220413s2019 xx o|||| 00||| eng d | ||
024 | 7 | |a 10.1787/1de6c6a7-en |2 doi | |
035 | |a (ZDB-13-SOC)061260371 | ||
035 | |a (OCoLC)1312709711 | ||
035 | |a (DE-599)BVBBV047935920 | ||
040 | |a DE-604 |b ger |e aacr | ||
041 | 0 | |a eng | |
049 | |a DE-384 |a DE-91 |a DE-473 |a DE-824 |a DE-29 |a DE-739 |a DE-355 |a DE-20 |a DE-1028 |a DE-1049 |a DE-188 |a DE-521 |a DE-861 |a DE-898 |a DE-92 |a DE-573 |a DE-19 | ||
100 | 1 | |a Bianchini, Marco |e Verfasser |4 aut | |
245 | 1 | 0 | |a Data Analytics in SMEs |b Trends and Policies |c Marco Bianchini and Veronika Michalkova |
264 | 1 | |a Paris |b OECD Publishing |c 2019 | |
300 | |a 1 Online-Ressource (44 Seiten) |c 21 x 29.7cm | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
490 | 0 | |a OECD SME and Entrepreneurship Papers | |
520 | |a The report contextualises the role of data analytics in the ongoing digital revolution and its potential for SME performance, including for enhancing SME productivity. It presents evidence on the use of data analytics in SMEs, discusses main internal and external barriers to the use of data analytics by SMEs, and illustrates policy approaches to foster data-driven decision-making in SMEs | ||
650 | 4 | |a Science and Technology | |
650 | 4 | |a Economics | |
650 | 4 | |a Industry and Services | |
700 | 1 | |a Michalkova, Veronika |4 ctb | |
856 | 4 | 0 | |u https://doi.org/10.1787/1de6c6a7-en |x Verlag |z kostenfrei |3 Volltext |
912 | |a ZDB-13-SOC | ||
943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-033317413 |
Datensatz im Suchindex
_version_ | 1818806083957817344 |
---|---|
adam_text | |
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Bianchini, Marco |
author2 | Michalkova, Veronika |
author2_role | ctb |
author2_variant | v m vm |
author_facet | Bianchini, Marco Michalkova, Veronika |
author_role | aut |
author_sort | Bianchini, Marco |
author_variant | m b mb |
building | Verbundindex |
bvnumber | BV047935920 |
collection | ZDB-13-SOC |
ctrlnum | (ZDB-13-SOC)061260371 (OCoLC)1312709711 (DE-599)BVBBV047935920 |
discipline | Wirtschaftswissenschaften |
discipline_str_mv | Wirtschaftswissenschaften |
doi_str_mv | 10.1787/1de6c6a7-en |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000zc 4500</leader><controlfield tag="001">BV047935920</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">220413s2019 xx o|||| 00||| eng d</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1787/1de6c6a7-en</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-13-SOC)061260371</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1312709711</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047935920</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-384</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-473</subfield><subfield code="a">DE-824</subfield><subfield code="a">DE-29</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-355</subfield><subfield code="a">DE-20</subfield><subfield code="a">DE-1028</subfield><subfield code="a">DE-1049</subfield><subfield code="a">DE-188</subfield><subfield code="a">DE-521</subfield><subfield code="a">DE-861</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-92</subfield><subfield code="a">DE-573</subfield><subfield code="a">DE-19</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Bianchini, Marco</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Data Analytics in SMEs</subfield><subfield code="b">Trends and Policies</subfield><subfield code="c">Marco Bianchini and Veronika Michalkova</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Paris</subfield><subfield code="b">OECD Publishing</subfield><subfield code="c">2019</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (44 Seiten)</subfield><subfield code="c">21 x 29.7cm</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">OECD SME and Entrepreneurship Papers</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The report contextualises the role of data analytics in the ongoing digital revolution and its potential for SME performance, including for enhancing SME productivity. It presents evidence on the use of data analytics in SMEs, discusses main internal and external barriers to the use of data analytics by SMEs, and illustrates policy approaches to foster data-driven decision-making in SMEs</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Science and Technology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Economics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Industry and Services</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Michalkova, Veronika</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1787/1de6c6a7-en</subfield><subfield code="x">Verlag</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-13-SOC</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033317413</subfield></datafield></record></collection> |
id | DE-604.BV047935920 |
illustrated | Not Illustrated |
index_date | 2024-07-03T19:35:05Z |
indexdate | 2024-12-18T19:04:08Z |
institution | BVB |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033317413 |
oclc_num | 1312709711 |
open_access_boolean | 1 |
owner | DE-384 DE-91 DE-BY-TUM DE-473 DE-BY-UBG DE-824 DE-29 DE-739 DE-355 DE-BY-UBR DE-20 DE-1028 DE-1049 DE-188 DE-521 DE-861 DE-898 DE-BY-UBR DE-92 DE-573 DE-19 DE-BY-UBM |
owner_facet | DE-384 DE-91 DE-BY-TUM DE-473 DE-BY-UBG DE-824 DE-29 DE-739 DE-355 DE-BY-UBR DE-20 DE-1028 DE-1049 DE-188 DE-521 DE-861 DE-898 DE-BY-UBR DE-92 DE-573 DE-19 DE-BY-UBM |
physical | 1 Online-Ressource (44 Seiten) 21 x 29.7cm |
psigel | ZDB-13-SOC |
publishDate | 2019 |
publishDateSearch | 2019 |
publishDateSort | 2019 |
publisher | OECD Publishing |
record_format | marc |
series2 | OECD SME and Entrepreneurship Papers |
spelling | Bianchini, Marco Verfasser aut Data Analytics in SMEs Trends and Policies Marco Bianchini and Veronika Michalkova Paris OECD Publishing 2019 1 Online-Ressource (44 Seiten) 21 x 29.7cm txt rdacontent c rdamedia cr rdacarrier OECD SME and Entrepreneurship Papers The report contextualises the role of data analytics in the ongoing digital revolution and its potential for SME performance, including for enhancing SME productivity. It presents evidence on the use of data analytics in SMEs, discusses main internal and external barriers to the use of data analytics by SMEs, and illustrates policy approaches to foster data-driven decision-making in SMEs Science and Technology Economics Industry and Services Michalkova, Veronika ctb https://doi.org/10.1787/1de6c6a7-en Verlag kostenfrei Volltext |
spellingShingle | Bianchini, Marco Data Analytics in SMEs Trends and Policies Science and Technology Economics Industry and Services |
title | Data Analytics in SMEs Trends and Policies |
title_auth | Data Analytics in SMEs Trends and Policies |
title_exact_search | Data Analytics in SMEs Trends and Policies |
title_exact_search_txtP | Data Analytics in SMEs Trends and Policies |
title_full | Data Analytics in SMEs Trends and Policies Marco Bianchini and Veronika Michalkova |
title_fullStr | Data Analytics in SMEs Trends and Policies Marco Bianchini and Veronika Michalkova |
title_full_unstemmed | Data Analytics in SMEs Trends and Policies Marco Bianchini and Veronika Michalkova |
title_short | Data Analytics in SMEs |
title_sort | data analytics in smes trends and policies |
title_sub | Trends and Policies |
topic | Science and Technology Economics Industry and Services |
topic_facet | Science and Technology Economics Industry and Services |
url | https://doi.org/10.1787/1de6c6a7-en |
work_keys_str_mv | AT bianchinimarco dataanalyticsinsmestrendsandpolicies AT michalkovaveronika dataanalyticsinsmestrendsandpolicies |