Volledig samenvatting voor het vak Big Data Marketing gemaakt in Word (excl. hoofdstuk 11). Het tentamen is meestal een openboek tentamen zo kun je eenvoudig zoeken binnen het bestand naar de juiste antwoorden.
Inhoudsopgave
Hoofdstuk 1: Uitdagingen van big data........................................................................................................... 5
1.1 Introductie......................................................................................................................................................5
1.2 Explosieve gegevensgroei...............................................................................................................................5
1.3 Kanttekeningen bij big data............................................................................................................................5
1.4 Onze doelen....................................................................................................................................................5
1.5 Onze aanpak...................................................................................................................................................5
1.6 Leeswijzer........................................................................................................................................................6
Hoofdstuk 2: Waarde creëren met big data analytics......................................................................................6
2.1 Introductie......................................................................................................................................................6
2.2 Big-datawaardecreatiemodel.........................................................................................................................6
2.2.1 Big -data-activa........................................................................................................................................6
2.2.2 Big-datacompetenties.............................................................................................................................6
2.2.3 Big data analytics.....................................................................................................................................7
2.2.4 Big-datawaarde.......................................................................................................................................7
2.3 Big-datawaardecreatiemodel als rode draad in dit boek...............................................................................8
2.4 Conclusies.......................................................................................................................................................8
, 4.4.4 Customer lifetime value (CLV)...................................................................................................................14
4.4.5 V2F-big-dataklantmetrics..........................................................................................................................14
4.5 Conclusies.....................................................................................................................................................15
Hoofdstuk 5: Databronnen........................................................................................................................... 15
5.1 Introductie....................................................................................................................................................15
5.2 Soorten gegevensbronnen............................................................................................................................16
5.2.1 Externe en interne gegevensbronnen........................................................................................................16
5.2.2 Gestructureerde en ongestructureerde gegevensbronnen.......................................................................16
5.2.3 Gegevensbronnen voor markt, merk/product en klant.............................................................................17
5.3 Big-datagegevensbronnen gebruiken..........................................................................................................18
5.3.1 De vijf W-vragen........................................................................................................................................18
5.3.2 Datawarehouse.........................................................................................................................................18
5.3.3 Databasestructuren...................................................................................................................................18
5.3.4 Ontbrekende waarden...............................................................................................................................19
5.3.5 Datafusion.................................................................................................................................................19
5.4 Conclusie.......................................................................................................................................................19
Hoofdstuk 6: Data-integratie........................................................................................................................ 20
6.1 Introductie....................................................................................................................................................20
6.2 Integratie van gegevensbronnen..................................................................................................................20
6.2.1 Extractie.....................................................................................................................................................20
6.2.2 Transformatie............................................................................................................................................20
6.2.3 Laden.........................................................................................................................................................20
6.3 Omgaan met verschillende datatypes..........................................................................................................21
6.4 Data-integratie in het tijdperk van big data.................................................................................................21
6.4.1 Technische uitdagingen.............................................................................................................................21
6.4.2 Analytische uitdagingen............................................................................................................................22
6.4.3 Zakelijke uitdagingen.................................................................................................................................22
6.5 Conclusie.......................................................................................................................................................22
Hoofstuk 7: Klant privacy en gegevensbeveiliging......................................................................................... 23
7.1 Introductie -..................................................................................................................................................23
7.2 Waarom is privacy zo’n groot probleem?....................................................................................................23
7.3 Wat is privacy?.............................................................................................................................................23
7.4 Klanten en privacy........................................................................................................................................23
7.5 Overheden en privacywetgeving..................................................................................................................24
7.6 Privacy en ethiek...........................................................................................................................................24
Hoofdstuk 8: Hoe big data de analytics veranderen......................................................................................25
8.1 Introductie....................................................................................................................................................25
8.2 De kracht van analytics.................................................................................................................................25
8.3 Verschillende niveaus in analytics................................................................................................................25
8.4 Dimensies van analytics................................................................................................................................25
8.5 Strategieën voor het analyseren van big data.............................................................................................26
8.6 Hoe big data de analytics veranderen..........................................................................................................26
8.6.1 Veranderingen op marktniveau.................................................................................................................26
8.6.2 Veranderingen op merk- en productniveau...............................................................................................26
8.6.3 Veranderingen op klantniveau..................................................................................................................27
8.7 Algemene big-data-veranderingen in analytics...........................................................................................27
8.7.1 Van steekproeven naar volledige populatie..............................................................................................27
8.7.2 Van significantie naar grootte van effecten..............................................................................................27
8.7.3 Van ad-hoc gegevens naar continue gegevens.........................................................................................28
8.7.4 Van standaardmodellen naar realtimemodellen......................................................................................28
8.7.5 Van ad-hoc modellen naar realtimemodellen...........................................................................................28
8.8 Conclusies.....................................................................................................................................................28
Hoofdstuk 10: Nieuwe big data analytics...................................................................................................... 34
10.1 Introductie..................................................................................................................................................34
10.2 Big datatoepassing 1: Webanalytics..........................................................................................................34
10.3 Big datatoepassing 2: Customer journey analyse......................................................................................34
, 10.4 Big datatoepassing 3: Attribution modelling..............................................................................................34
10.5 Big datatoepassing 4: Dynamic targeting..................................................................................................35
10.6 Big datatoepassing 5: Geïntegreerde big data modellen...........................................................................35
10.7 Big datatoepassing 6: Social listing............................................................................................................35
10.8 Big datatoepassing 7: Sociale netwerkanalyse..........................................................................................35
10.9 Conclusie.....................................................................................................................................................36
Hoofdstuk 12: Succesvolle big datacompetenties opbouwen........................................................................37
12.1 Introductie..................................................................................................................................................37
12.2 Transformeren met als doel succesvolle analytische competentie............................................................37
12.3 Bouwstenen voor een succesvolle analytische competentie......................................................................37
12.3.1 Bouwsteen 1: Proces................................................................................................................................37
12.3.2 Bouwsteen 2: Mensen.............................................................................................................................37
12.3.3 Bouwsteen 3: Systemen...........................................................................................................................38
12.3.4 Bouwsteen 4: Organisatie.......................................................................................................................38
12.4 Conclusies...................................................................................................................................................38
The benefits of buying summaries with Stuvia:
Guaranteed quality through customer reviews
Stuvia customers have reviewed more than 700,000 summaries. This how you know that you are buying the best documents.
Quick and easy check-out
You can quickly pay through credit card or Stuvia-credit for the summaries. There is no membership needed.
Focus on what matters
Your fellow students write the study notes themselves, which is why the documents are always reliable and up-to-date. This ensures you quickly get to the core!
Frequently asked questions
What do I get when I buy this document?
You get a PDF, available immediately after your purchase. The purchased document is accessible anytime, anywhere and indefinitely through your profile.
Satisfaction guarantee: how does it work?
Our satisfaction guarantee ensures that you always find a study document that suits you well. You fill out a form, and our customer service team takes care of the rest.
Who am I buying these notes from?
Stuvia is a marketplace, so you are not buying this document from us, but from seller StudentCEDBC. Stuvia facilitates payment to the seller.
Will I be stuck with a subscription?
No, you only buy these notes for $16.44. You're not tied to anything after your purchase.