SlideShare una empresa de Scribd logo
1 de 12
Descargar para leer sin conexión
WHAT TYPE OF
DATA ROOM USER
ARE YOU?
www.drooms.com
Not every data room user is the same. The behaviour of different
users on the same software can vary tremendously because
individual working techniques, preferences and personalities have
direct impact on the behaviour of users.
THE DATA ROOM NATIVE
This type of user knows the data room better
than the back of their hand. They move
through the document index in a confident
and targeted way, and are clearly in their
element. Colleagues often refer to them as
nerds.
THE MOBILE 24/7 USER
This type of user is at work when others are
sound asleep. Anytime, anywhere, they are
battling their way through the data room.
They even take a quick look at the latest
documents when tucked up in bed just before
going to sleep.
Being stuck somewhere without an internet
connection is the worst thing that could
possibly happen to a 24/7 user.
THE CHAOTIC USER
This type of user lives according to the mantra
"Only the stupid need organization, the genius
controls the chaos" (Einstein). And they
(generally) seems to do this successfully.
Even if the data room appears unstructured to
others, it all makes sense to the chaotic user.
Until, that is, they notice a build-up of
questions in the Q&A section and realise that
not everyone is able to follow their logic and
structure easily.
THE BOOKMARKER
As is the case in the real world, this type of
user loves bookmarks in all shapes and
colours. No document is without a sticky note
or two, and the same is true in the online data
room: finding a page without a bookmark is
virtually impossible.
LAST MINUTE USER
This type of user is always facing a tight
deadline and feeling rather stressed. True to
the maxim that 80% of the work can be
completed in 20% of the time, the last minute
user is notorious for appearing out of thin air
just before the data room is set to close.
THE SCROOGE
This type of user does not like sharing and
only reluctantly lets others have access to
"their" documents, living by the rule of "better
one document too few than one too many".
Questions are preprogrammed.
THE GENEROUS USER
This type of user has no issue with making
documents available to others. Quite the
opposite, in fact.
Anything that might be required is put in the
data room, as is everything that is not. At
times, this can drive others to despair as they
trudge through the files.
THE OLD SCHOOL USER
This type of user is filled with dread at the
thought of new software and data rooms.
They are extremely reluctant to log in if they
have to deal with overly demanding systems.
However, with a little encouragement and
support, they too can become an adept user.
THE DIY USERS
This type of user accepts the challenge and
works their way independently through every
data room. Queries and support hotline are
not part of their vocabulary, instead they
prefer to conquer the mountain alone.
FIND OUT MORE
www.drooms.com

Más contenido relacionado

Similar a What type of data room user are you?

The Way of the Blackhat.docx
The Way of the Blackhat.docxThe Way of the Blackhat.docx
The Way of the Blackhat.docxhaucoco
 
Privacy of facebook
Privacy of facebookPrivacy of facebook
Privacy of facebookhernan_j1
 
Disadvantages Of Smart Health Cards
Disadvantages Of Smart Health CardsDisadvantages Of Smart Health Cards
Disadvantages Of Smart Health CardsLindsey Rivera
 
13 Signs Your UX Needs an Exorcism
13 Signs Your UX Needs an Exorcism13 Signs Your UX Needs an Exorcism
13 Signs Your UX Needs an ExorcismCrystal Beasley
 
Business considerations for privacy and open data: how not to get caught out
Business considerations for privacy and open data: how not to get caught outBusiness considerations for privacy and open data: how not to get caught out
Business considerations for privacy and open data: how not to get caught outtheODI
 
Information+System+Development+Limit+To+Information
Information+System+Development+Limit+To+InformationInformation+System+Development+Limit+To+Information
Information+System+Development+Limit+To+InformationJo Balucanag - Bitonio
 
Breathing Data, Competing on Code
Breathing Data, Competing on CodeBreathing Data, Competing on Code
Breathing Data, Competing on CodeVenkatesh Rao
 
Who's that knocking on my firewall door?
Who's that knocking on my firewall door?Who's that knocking on my firewall door?
Who's that knocking on my firewall door?Bruce Wolfe
 
Living in the Cloud: 
How Using Online Services Can Let You Soar
Living in the Cloud: 
How Using Online Services Can Let You SoarLiving in the Cloud: 
How Using Online Services Can Let You Soar
Living in the Cloud: 
How Using Online Services Can Let You SoarNortheast Kansas Library System
 
Hack and Crack Slide
Hack and Crack SlideHack and Crack Slide
Hack and Crack SlideCikgu Syam
 
#ALTC2013 Slow & Steady Wins The Race
#ALTC2013 Slow & Steady Wins The Race#ALTC2013 Slow & Steady Wins The Race
#ALTC2013 Slow & Steady Wins The RaceBex Lewis
 
Big Data vs. Small Data...what's the difference?
Big Data vs. Small Data...what's the difference?Big Data vs. Small Data...what's the difference?
Big Data vs. Small Data...what's the difference?Anna Kuhn
 
Privacy and anonymity have been reduced to the point of non
Privacy and anonymity have been reduced to the point of nonPrivacy and anonymity have been reduced to the point of non
Privacy and anonymity have been reduced to the point of nonMateus BahiaRicardo
 
Computer Technology
Computer TechnologyComputer Technology
Computer Technologyguest48bbfb
 
Data in the Wild: Survival Guide
Data in the Wild: Survival GuideData in the Wild: Survival Guide
Data in the Wild: Survival GuideDruva
 
Doing F/LOSS :: The Cathedral & the Bazaar
Doing F/LOSS :: The Cathedral & the BazaarDoing F/LOSS :: The Cathedral & the Bazaar
Doing F/LOSS :: The Cathedral & the BazaarApostolos Kritikos
 
Appleseed Project
Appleseed ProjectAppleseed Project
Appleseed ProjectHooterville
 

Similar a What type of data room user are you? (20)

The Way of the Blackhat.docx
The Way of the Blackhat.docxThe Way of the Blackhat.docx
The Way of the Blackhat.docx
 
Privacy of facebook
Privacy of facebookPrivacy of facebook
Privacy of facebook
 
Disadvantages Of Smart Health Cards
Disadvantages Of Smart Health CardsDisadvantages Of Smart Health Cards
Disadvantages Of Smart Health Cards
 
13 Signs Your UX Needs an Exorcism
13 Signs Your UX Needs an Exorcism13 Signs Your UX Needs an Exorcism
13 Signs Your UX Needs an Exorcism
 
Business considerations for privacy and open data: how not to get caught out
Business considerations for privacy and open data: how not to get caught outBusiness considerations for privacy and open data: how not to get caught out
Business considerations for privacy and open data: how not to get caught out
 
Information+System+Development+Limit+To+Information
Information+System+Development+Limit+To+InformationInformation+System+Development+Limit+To+Information
Information+System+Development+Limit+To+Information
 
Paradox of the Active User
Paradox of the Active UserParadox of the Active User
Paradox of the Active User
 
Breathing Data, Competing on Code
Breathing Data, Competing on CodeBreathing Data, Competing on Code
Breathing Data, Competing on Code
 
Who's that knocking on my firewall door?
Who's that knocking on my firewall door?Who's that knocking on my firewall door?
Who's that knocking on my firewall door?
 
Living in the Cloud: 
How Using Online Services Can Let You Soar
Living in the Cloud: 
How Using Online Services Can Let You SoarLiving in the Cloud: 
How Using Online Services Can Let You Soar
Living in the Cloud: 
How Using Online Services Can Let You Soar
 
Hack and Crack Slide
Hack and Crack SlideHack and Crack Slide
Hack and Crack Slide
 
#ALTC2013 Slow & Steady Wins The Race
#ALTC2013 Slow & Steady Wins The Race#ALTC2013 Slow & Steady Wins The Race
#ALTC2013 Slow & Steady Wins The Race
 
Big Data vs. Small Data...what's the difference?
Big Data vs. Small Data...what's the difference?Big Data vs. Small Data...what's the difference?
Big Data vs. Small Data...what's the difference?
 
coverletter2015
coverletter2015coverletter2015
coverletter2015
 
Privacy and anonymity have been reduced to the point of non
Privacy and anonymity have been reduced to the point of nonPrivacy and anonymity have been reduced to the point of non
Privacy and anonymity have been reduced to the point of non
 
Computer Technology
Computer TechnologyComputer Technology
Computer Technology
 
Data in the Wild: Survival Guide
Data in the Wild: Survival GuideData in the Wild: Survival Guide
Data in the Wild: Survival Guide
 
Doing F/LOSS :: The Cathedral & the Bazaar
Doing F/LOSS :: The Cathedral & the BazaarDoing F/LOSS :: The Cathedral & the Bazaar
Doing F/LOSS :: The Cathedral & the Bazaar
 
Appleseed Project
Appleseed ProjectAppleseed Project
Appleseed Project
 
Teletype First Invented
Teletype First InventedTeletype First Invented
Teletype First Invented
 

Último

Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity
Strategic CX: A Deep Dive into Voice of the Customer Insights for ClarityStrategic CX: A Deep Dive into Voice of the Customer Insights for Clarity
Strategic CX: A Deep Dive into Voice of the Customer Insights for ClarityAggregage
 
YourView Panel Book.pptx YourView Panel Book.
YourView Panel Book.pptx YourView Panel Book.YourView Panel Book.pptx YourView Panel Book.
YourView Panel Book.pptx YourView Panel Book.JasonViviers2
 
How is Real-Time Analytics Different from Traditional OLAP?
How is Real-Time Analytics Different from Traditional OLAP?How is Real-Time Analytics Different from Traditional OLAP?
How is Real-Time Analytics Different from Traditional OLAP?sonikadigital1
 
Mapping the pubmed data under different suptopics using NLP.pptx
Mapping the pubmed data under different suptopics using NLP.pptxMapping the pubmed data under different suptopics using NLP.pptx
Mapping the pubmed data under different suptopics using NLP.pptxVenkatasubramani13
 
CI, CD -Tools to integrate without manual intervention
CI, CD -Tools to integrate without manual interventionCI, CD -Tools to integrate without manual intervention
CI, CD -Tools to integrate without manual interventionajayrajaganeshkayala
 
Cash Is Still King: ATM market research '2023
Cash Is Still King: ATM market research '2023Cash Is Still King: ATM market research '2023
Cash Is Still King: ATM market research '2023Vladislav Solodkiy
 
MEASURES OF DISPERSION I BSc Botany .ppt
MEASURES OF DISPERSION I BSc Botany .pptMEASURES OF DISPERSION I BSc Botany .ppt
MEASURES OF DISPERSION I BSc Botany .pptaigil2
 
ChistaDATA Real-Time DATA Analytics Infrastructure
ChistaDATA Real-Time DATA Analytics InfrastructureChistaDATA Real-Time DATA Analytics Infrastructure
ChistaDATA Real-Time DATA Analytics Infrastructuresonikadigital1
 
AI for Sustainable Development Goals (SDGs)
AI for Sustainable Development Goals (SDGs)AI for Sustainable Development Goals (SDGs)
AI for Sustainable Development Goals (SDGs)Data & Analytics Magazin
 
Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024
Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024
Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024Guido X Jansen
 
SFBA Splunk Usergroup meeting March 13, 2024
SFBA Splunk Usergroup meeting March 13, 2024SFBA Splunk Usergroup meeting March 13, 2024
SFBA Splunk Usergroup meeting March 13, 2024Becky Burwell
 
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptx
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptxTINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptx
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptxDwiAyuSitiHartinah
 
The Universal GTM - how we design GTM and dataLayer
The Universal GTM - how we design GTM and dataLayerThe Universal GTM - how we design GTM and dataLayer
The Universal GTM - how we design GTM and dataLayerPavel Šabatka
 
Master's Thesis - Data Science - Presentation
Master's Thesis - Data Science - PresentationMaster's Thesis - Data Science - Presentation
Master's Thesis - Data Science - PresentationGiorgio Carbone
 
5 Ds to Define Data Archiving Best Practices
5 Ds to Define Data Archiving Best Practices5 Ds to Define Data Archiving Best Practices
5 Ds to Define Data Archiving Best PracticesDataArchiva
 
Virtuosoft SmartSync Product Introduction
Virtuosoft SmartSync Product IntroductionVirtuosoft SmartSync Product Introduction
Virtuosoft SmartSync Product Introductionsanjaymuralee1
 
Elements of language learning - an analysis of how different elements of lang...
Elements of language learning - an analysis of how different elements of lang...Elements of language learning - an analysis of how different elements of lang...
Elements of language learning - an analysis of how different elements of lang...PrithaVashisht1
 

Último (17)

Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity
Strategic CX: A Deep Dive into Voice of the Customer Insights for ClarityStrategic CX: A Deep Dive into Voice of the Customer Insights for Clarity
Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity
 
YourView Panel Book.pptx YourView Panel Book.
YourView Panel Book.pptx YourView Panel Book.YourView Panel Book.pptx YourView Panel Book.
YourView Panel Book.pptx YourView Panel Book.
 
How is Real-Time Analytics Different from Traditional OLAP?
How is Real-Time Analytics Different from Traditional OLAP?How is Real-Time Analytics Different from Traditional OLAP?
How is Real-Time Analytics Different from Traditional OLAP?
 
Mapping the pubmed data under different suptopics using NLP.pptx
Mapping the pubmed data under different suptopics using NLP.pptxMapping the pubmed data under different suptopics using NLP.pptx
Mapping the pubmed data under different suptopics using NLP.pptx
 
CI, CD -Tools to integrate without manual intervention
CI, CD -Tools to integrate without manual interventionCI, CD -Tools to integrate without manual intervention
CI, CD -Tools to integrate without manual intervention
 
Cash Is Still King: ATM market research '2023
Cash Is Still King: ATM market research '2023Cash Is Still King: ATM market research '2023
Cash Is Still King: ATM market research '2023
 
MEASURES OF DISPERSION I BSc Botany .ppt
MEASURES OF DISPERSION I BSc Botany .pptMEASURES OF DISPERSION I BSc Botany .ppt
MEASURES OF DISPERSION I BSc Botany .ppt
 
ChistaDATA Real-Time DATA Analytics Infrastructure
ChistaDATA Real-Time DATA Analytics InfrastructureChistaDATA Real-Time DATA Analytics Infrastructure
ChistaDATA Real-Time DATA Analytics Infrastructure
 
AI for Sustainable Development Goals (SDGs)
AI for Sustainable Development Goals (SDGs)AI for Sustainable Development Goals (SDGs)
AI for Sustainable Development Goals (SDGs)
 
Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024
Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024
Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024
 
SFBA Splunk Usergroup meeting March 13, 2024
SFBA Splunk Usergroup meeting March 13, 2024SFBA Splunk Usergroup meeting March 13, 2024
SFBA Splunk Usergroup meeting March 13, 2024
 
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptx
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptxTINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptx
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptx
 
The Universal GTM - how we design GTM and dataLayer
The Universal GTM - how we design GTM and dataLayerThe Universal GTM - how we design GTM and dataLayer
The Universal GTM - how we design GTM and dataLayer
 
Master's Thesis - Data Science - Presentation
Master's Thesis - Data Science - PresentationMaster's Thesis - Data Science - Presentation
Master's Thesis - Data Science - Presentation
 
5 Ds to Define Data Archiving Best Practices
5 Ds to Define Data Archiving Best Practices5 Ds to Define Data Archiving Best Practices
5 Ds to Define Data Archiving Best Practices
 
Virtuosoft SmartSync Product Introduction
Virtuosoft SmartSync Product IntroductionVirtuosoft SmartSync Product Introduction
Virtuosoft SmartSync Product Introduction
 
Elements of language learning - an analysis of how different elements of lang...
Elements of language learning - an analysis of how different elements of lang...Elements of language learning - an analysis of how different elements of lang...
Elements of language learning - an analysis of how different elements of lang...
 

What type of data room user are you?

  • 1. WHAT TYPE OF DATA ROOM USER ARE YOU? www.drooms.com
  • 2. Not every data room user is the same. The behaviour of different users on the same software can vary tremendously because individual working techniques, preferences and personalities have direct impact on the behaviour of users.
  • 3. THE DATA ROOM NATIVE This type of user knows the data room better than the back of their hand. They move through the document index in a confident and targeted way, and are clearly in their element. Colleagues often refer to them as nerds.
  • 4. THE MOBILE 24/7 USER This type of user is at work when others are sound asleep. Anytime, anywhere, they are battling their way through the data room. They even take a quick look at the latest documents when tucked up in bed just before going to sleep. Being stuck somewhere without an internet connection is the worst thing that could possibly happen to a 24/7 user.
  • 5. THE CHAOTIC USER This type of user lives according to the mantra "Only the stupid need organization, the genius controls the chaos" (Einstein). And they (generally) seems to do this successfully. Even if the data room appears unstructured to others, it all makes sense to the chaotic user. Until, that is, they notice a build-up of questions in the Q&A section and realise that not everyone is able to follow their logic and structure easily.
  • 6. THE BOOKMARKER As is the case in the real world, this type of user loves bookmarks in all shapes and colours. No document is without a sticky note or two, and the same is true in the online data room: finding a page without a bookmark is virtually impossible.
  • 7. LAST MINUTE USER This type of user is always facing a tight deadline and feeling rather stressed. True to the maxim that 80% of the work can be completed in 20% of the time, the last minute user is notorious for appearing out of thin air just before the data room is set to close.
  • 8. THE SCROOGE This type of user does not like sharing and only reluctantly lets others have access to "their" documents, living by the rule of "better one document too few than one too many". Questions are preprogrammed.
  • 9. THE GENEROUS USER This type of user has no issue with making documents available to others. Quite the opposite, in fact. Anything that might be required is put in the data room, as is everything that is not. At times, this can drive others to despair as they trudge through the files.
  • 10. THE OLD SCHOOL USER This type of user is filled with dread at the thought of new software and data rooms. They are extremely reluctant to log in if they have to deal with overly demanding systems. However, with a little encouragement and support, they too can become an adept user.
  • 11. THE DIY USERS This type of user accepts the challenge and works their way independently through every data room. Queries and support hotline are not part of their vocabulary, instead they prefer to conquer the mountain alone.