SlideShare a Scribd company logo
1 of 21
Download to read offline
ABOUT VANDERBILT UNIVERSITY 
MEDICAL CENTER 
• $2.3 Billion Annual 
Healthcare Operating 
Expenses (excludes 
academics and research) 
• $471.6 Million Annual 
Sponsored Research 
Budget 
• $843.6 Million Annual 
Charity Care, 
Community Benefits, 
and other Unrecovered 
Costs
Freakonomics Radio - June 26, 2014
I never would have imagined that 
it is an IT problem 
that you simply cannot get the data you want. 
We’ll spend three or six person months 
just put together a data set 
to do a basic analysis.
How can we 
view the new 
ICD-10 codes 
in the revenue 
reports? 
ja' chel De' 
yotlh 'ej 'oH 
Hoch items 
cha' choH.
Table 
Field 
Data Type 
Primary Key 
Record Normalization 
Foreign Key 
EDW 
OLAP 
OLTP 
Cubes 
Aggregation 
Index 
SQL View
SLIDES AND HELPFUL TERMS ARE 
POSTED AT 
TERMINALIQ.COM/BLOG/ 
ALSO POSTED TO LINKEDIN
IT’S 1 AM, DO 
YOU KNOW 
WHERE YOUR 
DATA IS?
OLTP 
• Online Tranaction 
Processing 
• Designed for adding, 
deleting, and updating 
individual pieces of data. 
• Applications used by 
operations will use OLTP. 
OLAP 
• Online Analytical 
Processing 
• Designed for selecting 
data. 
• Reporting systems and 
data warehouses will 
use OLAP.
IT’S 2 AM, DO 
YOU WHO 
YOUR DATA IS 
WITH?
THE CURMUDGEON 
• Advantages: They know the system, data, 
and the history of how things came to be. 
• Disadvantages: Won’t let others access 
their data, let alone each anyone how to 
do what they do because they are afraid 
they will become unnecessary to the 
organization. 
• Strategies: Convince them you don’t 
want to upset the status quo but that they 
are your only hope. Give them something 
more to do then pull the data like validate 
it for reasonableness. Praise their 
contributions and helpfulness in front of 
their 1-ups.
THE NEWBIE 
• Advantages: Wants to help and do a 
good job. 
• Disadvantages: Doesn’t know very 
much and might act like they know 
more than they do which can lead to 
bad data. 
• Strategies: Partner with the Newbie, 
teach them what the data means to 
operations. Invite them to your 
meetings or give them an in-depth 
tour of your area.
THE GURU 
• Advantages: Knows the data and 
operations. Can you get the data you 
want the first time. 
• Disadvantages: No time to get to 
every request that comes their way. 
• Strategies: Your goal is to become her 
favorite end-user. Clearly define the 
data you need, going back for multiple 
iterations can be your death with the 
Guru. If there is anything you can do 
for them, do it.
THE IDIOT 
• Advantages: None 
• Disadvantages: They are slow, do a 
half-assed job, and you have to 
double-check their work. 
• Strategies: Avoid the Idiot if you can. 
If you can’t, figure out a way to at least 
eliminate the slowness disadvantage. 
Candy bars or cokes are often good 
bribes.
MORE STRATEGIES 
• Request forms for 
standard(ish) data 
needs. 
• For ad-hoc requests, 
have IT include a copy 
of the query with the 
data so you can easily 
request it again later. 
• For frequent data needs, 
ask if reports can be 
scheduled to run 
overnight. 
• Designate leads/experts 
from both operations, 
finance, IT, etc. to work 
together on reporting 
needs.
brad.adams@vanderbilt.edu 
(615) 875-9554
The Art of Requesting Data from IT 
Presented by Brad Adams 
Helpful Terms 
Term Definition 
Aggregation Any time data is grouped or summarized. Many 
user-friendly reporting systems will automatically 
group and summarize data automatically. 
Cubes Pre-summarized datasets that increase response 
time of OLAP databases. When reporting from the 
general ledger, performance would be greatly 
improved by pre-summarizing monthly transitions by 
account, month/year, and department. 
Data Type Defines the acceptable inputs to a field. Common 
data types include text, number, date, and time. 
Field Similar to a column in a spreadsheet, it contains 
information of a particular type (e.g., First Name). 
Foreign Key A field that is a primary key in another table used 
to create a relationship between tables. 
Index Indexes are added to tables on one or more fields 
to speed up random lookups and improve overall 
performance and efficiency of the database. 
Normalization Database design methodology to minimize data 
redundancy by splitting data into it’s smallest useful 
parts. Rather than have a single field for name, a 
normalized database will have separate fields for 
first, middle, last, and sometimes preferred and 
maiden names. OLTP databases will typically be 
normalized while OLAP not be fully normalized. 
OLAP Online Analytical Processing is a database 
architecture specializing in selecting information. 
Reporting systems and data warehouses will 
typically use an OLAP architecture. 
OLTP Online Transaction Processing is a database 
architecture specializing in adding, updating, and 
deleting records but is not efficient in selecting 
records (not good for reporting). Applications used 
by operations (e.g., registration) will typically use 
an OLTP architecture. 
Primary Key A field or combination of fields that uniquely identify 
a record in a table. 
Record Similar to a row in a spreadsheet, in contains a 
data set representing a single item. 
terminaliq.com!1 of !2
The Art of Requesting Data from IT 
Presented by Brad Adams 
Term Definition 
SQL Structured Query Language (pronounced Sea-Quill) 
is a common program language used to manipulate 
databases. Many commercial database platforms will 
have their own flavor of SQL such as pl/sql for 
Oracle and T-SQL for Microsoft SQL Server. 
Table A collection of fields and records. Think the rows 
and columns of a spreadsheet. 
View A saved query that can be accessed similiar to a 
table. 
EDW Enterprise Data Warehouse is where all of your data 
should reside and should make it easy to get and 
create useful, timely, reports. 
Recommended Reading 
I’ve purchased these two books for new team members multiple times and 
highly recommend them to anyone who needs to better understand 
databases. If you use the links below I’ll earn about $1 on each book. 
• Database Design for Mere Mortals (3rd Edition) - Michael Hernandez 
http://amzn.to/1CWMm18 
• SQL Queries for Mere Mortals (3rd Edition) - Michael Hernandez 
http://amzn.to/1rgXRLr 
terminaliq.com!2 of !2

More Related Content

What's hot

Intro to Data Science Big Data
Intro to Data Science Big DataIntro to Data Science Big Data
Intro to Data Science Big DataIndu Khemchandani
 
NDC Oslo : A Practical Introduction to Data Science
NDC Oslo : A Practical Introduction to Data ScienceNDC Oslo : A Practical Introduction to Data Science
NDC Oslo : A Practical Introduction to Data ScienceMark West
 
Big Data Science: Intro and Benefits
Big Data Science: Intro and BenefitsBig Data Science: Intro and Benefits
Big Data Science: Intro and BenefitsChandan Rajah
 
Tableau Conference 2014 Presentation
Tableau Conference 2014 PresentationTableau Conference 2014 Presentation
Tableau Conference 2014 Presentationkrystalstjulien
 
(The life of a) Data engineer
(The life of a) Data engineer(The life of a) Data engineer
(The life of a) Data engineerAlex Chalini
 
JavaZone 2018 - A Practical(ish) Introduction to Data Science
JavaZone 2018 - A Practical(ish) Introduction to Data ScienceJavaZone 2018 - A Practical(ish) Introduction to Data Science
JavaZone 2018 - A Practical(ish) Introduction to Data ScienceMark West
 
Non geeks-big-data-playbook-106947
Non geeks-big-data-playbook-106947Non geeks-big-data-playbook-106947
Non geeks-big-data-playbook-106947CMR WORLD TECH
 
Non-geek's big data playbook - Hadoop & EDW - SAS Best Practices
Non-geek's big data playbook - Hadoop & EDW - SAS Best PracticesNon-geek's big data playbook - Hadoop & EDW - SAS Best Practices
Non-geek's big data playbook - Hadoop & EDW - SAS Best PracticesJyrki Määttä
 
Dark Data: A Data Scientists Exploration of the Unknown by Rob Witoff PyData ...
Dark Data: A Data Scientists Exploration of the Unknown by Rob Witoff PyData ...Dark Data: A Data Scientists Exploration of the Unknown by Rob Witoff PyData ...
Dark Data: A Data Scientists Exploration of the Unknown by Rob Witoff PyData ...PyData
 
Introduction to data science intro,ch(1,2,3)
Introduction to data science intro,ch(1,2,3)Introduction to data science intro,ch(1,2,3)
Introduction to data science intro,ch(1,2,3)heba_ahmad
 
Lecture1 introduction to big data
Lecture1 introduction to big dataLecture1 introduction to big data
Lecture1 introduction to big datahktripathy
 
SDSC18 and DSATL Meetup March 2018
SDSC18 and DSATL Meetup March 2018 SDSC18 and DSATL Meetup March 2018
SDSC18 and DSATL Meetup March 2018 CareerBuilder.com
 
Self Evolving Model to Attain to State of Dynamic System Accuracy
Self Evolving Model to Attain to State of Dynamic System AccuracySelf Evolving Model to Attain to State of Dynamic System Accuracy
Self Evolving Model to Attain to State of Dynamic System AccuracyDataWorks Summit
 

What's hot (20)

Big Data Analytics
Big Data AnalyticsBig Data Analytics
Big Data Analytics
 
Intro to Data Science Big Data
Intro to Data Science Big DataIntro to Data Science Big Data
Intro to Data Science Big Data
 
Exploring Big Data Analytics Tools
Exploring Big Data Analytics ToolsExploring Big Data Analytics Tools
Exploring Big Data Analytics Tools
 
NDC Oslo : A Practical Introduction to Data Science
NDC Oslo : A Practical Introduction to Data ScienceNDC Oslo : A Practical Introduction to Data Science
NDC Oslo : A Practical Introduction to Data Science
 
Classification of data
Classification of dataClassification of data
Classification of data
 
Big Data Science: Intro and Benefits
Big Data Science: Intro and BenefitsBig Data Science: Intro and Benefits
Big Data Science: Intro and Benefits
 
Tableau Conference 2014 Presentation
Tableau Conference 2014 PresentationTableau Conference 2014 Presentation
Tableau Conference 2014 Presentation
 
(The life of a) Data engineer
(The life of a) Data engineer(The life of a) Data engineer
(The life of a) Data engineer
 
JavaZone 2018 - A Practical(ish) Introduction to Data Science
JavaZone 2018 - A Practical(ish) Introduction to Data ScienceJavaZone 2018 - A Practical(ish) Introduction to Data Science
JavaZone 2018 - A Practical(ish) Introduction to Data Science
 
Sas Presentation
Sas PresentationSas Presentation
Sas Presentation
 
Non geeks-big-data-playbook-106947
Non geeks-big-data-playbook-106947Non geeks-big-data-playbook-106947
Non geeks-big-data-playbook-106947
 
Non-geek's big data playbook - Hadoop & EDW - SAS Best Practices
Non-geek's big data playbook - Hadoop & EDW - SAS Best PracticesNon-geek's big data playbook - Hadoop & EDW - SAS Best Practices
Non-geek's big data playbook - Hadoop & EDW - SAS Best Practices
 
Dark Data: A Data Scientists Exploration of the Unknown by Rob Witoff PyData ...
Dark Data: A Data Scientists Exploration of the Unknown by Rob Witoff PyData ...Dark Data: A Data Scientists Exploration of the Unknown by Rob Witoff PyData ...
Dark Data: A Data Scientists Exploration of the Unknown by Rob Witoff PyData ...
 
Cs437 lecture 1-6
Cs437 lecture 1-6Cs437 lecture 1-6
Cs437 lecture 1-6
 
Introduction to data science intro,ch(1,2,3)
Introduction to data science intro,ch(1,2,3)Introduction to data science intro,ch(1,2,3)
Introduction to data science intro,ch(1,2,3)
 
Lecture1 introduction to big data
Lecture1 introduction to big dataLecture1 introduction to big data
Lecture1 introduction to big data
 
SDSC18 and DSATL Meetup March 2018
SDSC18 and DSATL Meetup March 2018 SDSC18 and DSATL Meetup March 2018
SDSC18 and DSATL Meetup March 2018
 
Self Evolving Model to Attain to State of Dynamic System Accuracy
Self Evolving Model to Attain to State of Dynamic System AccuracySelf Evolving Model to Attain to State of Dynamic System Accuracy
Self Evolving Model to Attain to State of Dynamic System Accuracy
 
Digital data
Digital dataDigital data
Digital data
 
Evolution of big data
Evolution of big dataEvolution of big data
Evolution of big data
 

Viewers also liked

Complaint and Warrant - Waco Bikers
Complaint and Warrant - Waco BikersComplaint and Warrant - Waco Bikers
Complaint and Warrant - Waco BikersBenson Varghese
 
TNHFMA Newsletter - Successful Practices
TNHFMA Newsletter - Successful PracticesTNHFMA Newsletter - Successful Practices
TNHFMA Newsletter - Successful PracticesBrad Adams
 
Soal dan pembahasan matematika ips un 2014
Soal dan pembahasan matematika ips un 2014Soal dan pembahasan matematika ips un 2014
Soal dan pembahasan matematika ips un 2014Muhammad Arif
 
Confessions of an Internal Auditor: IT Edition
Confessions of an Internal Auditor: IT EditionConfessions of an Internal Auditor: IT Edition
Confessions of an Internal Auditor: IT EditionBrad Adams
 
Fundemental flaws in Waco
Fundemental flaws in WacoFundemental flaws in Waco
Fundemental flaws in WacoBenson Varghese
 
Soal dan pembahasan mat ipa un 2014
Soal  dan pembahasan mat ipa un 2014Soal  dan pembahasan mat ipa un 2014
Soal dan pembahasan mat ipa un 2014Muhammad Arif
 
Confessions of an Internal Auditor 2014 Florida HMFA Fall Institute
Confessions of an Internal Auditor 2014 Florida HMFA Fall InstituteConfessions of an Internal Auditor 2014 Florida HMFA Fall Institute
Confessions of an Internal Auditor 2014 Florida HMFA Fall InstituteBrad Adams
 
Database Essentials for Healthcare Finance Professionals
Database Essentials for Healthcare Finance ProfessionalsDatabase Essentials for Healthcare Finance Professionals
Database Essentials for Healthcare Finance ProfessionalsBrad Adams
 
Colorectal cancer
Colorectal cancerColorectal cancer
Colorectal cancerJenita John
 
Nutritional Problems in India
Nutritional Problems in IndiaNutritional Problems in India
Nutritional Problems in IndiaJenita John
 
Grand Jury Reform in Texas
Grand Jury Reform in TexasGrand Jury Reform in Texas
Grand Jury Reform in TexasBenson Varghese
 

Viewers also liked (17)

Healthy life
Healthy lifeHealthy life
Healthy life
 
Complaint and Warrant - Waco Bikers
Complaint and Warrant - Waco BikersComplaint and Warrant - Waco Bikers
Complaint and Warrant - Waco Bikers
 
TNHFMA Newsletter - Successful Practices
TNHFMA Newsletter - Successful PracticesTNHFMA Newsletter - Successful Practices
TNHFMA Newsletter - Successful Practices
 
Soal dan pembahasan matematika ips un 2014
Soal dan pembahasan matematika ips un 2014Soal dan pembahasan matematika ips un 2014
Soal dan pembahasan matematika ips un 2014
 
Zoos
ZoosZoos
Zoos
 
My myth
My myth My myth
My myth
 
Jeronimo
JeronimoJeronimo
Jeronimo
 
Confessions of an Internal Auditor: IT Edition
Confessions of an Internal Auditor: IT EditionConfessions of an Internal Auditor: IT Edition
Confessions of an Internal Auditor: IT Edition
 
Fundemental flaws in Waco
Fundemental flaws in WacoFundemental flaws in Waco
Fundemental flaws in Waco
 
Soal dan pembahasan mat ipa un 2014
Soal  dan pembahasan mat ipa un 2014Soal  dan pembahasan mat ipa un 2014
Soal dan pembahasan mat ipa un 2014
 
Confessions of an Internal Auditor 2014 Florida HMFA Fall Institute
Confessions of an Internal Auditor 2014 Florida HMFA Fall InstituteConfessions of an Internal Auditor 2014 Florida HMFA Fall Institute
Confessions of an Internal Auditor 2014 Florida HMFA Fall Institute
 
Database Essentials for Healthcare Finance Professionals
Database Essentials for Healthcare Finance ProfessionalsDatabase Essentials for Healthcare Finance Professionals
Database Essentials for Healthcare Finance Professionals
 
Echidna
EchidnaEchidna
Echidna
 
Samburu tribe
Samburu tribeSamburu tribe
Samburu tribe
 
Colorectal cancer
Colorectal cancerColorectal cancer
Colorectal cancer
 
Nutritional Problems in India
Nutritional Problems in IndiaNutritional Problems in India
Nutritional Problems in India
 
Grand Jury Reform in Texas
Grand Jury Reform in TexasGrand Jury Reform in Texas
Grand Jury Reform in Texas
 

Similar to The Art of Requesting Data from IT

Denodo DataFest 2016: Comparing and Contrasting Data Virtualization With Data...
Denodo DataFest 2016: Comparing and Contrasting Data Virtualization With Data...Denodo DataFest 2016: Comparing and Contrasting Data Virtualization With Data...
Denodo DataFest 2016: Comparing and Contrasting Data Virtualization With Data...Denodo
 
Introduction to data mining and data warehousing
Introduction to data mining and data warehousingIntroduction to data mining and data warehousing
Introduction to data mining and data warehousingEr. Nawaraj Bhandari
 
Differences between data lakes and datawarehouse
  Differences between data lakes and datawarehouse  Differences between data lakes and datawarehouse
Differences between data lakes and datawarehouseamarkayam
 
Online analytical processing
Online analytical processingOnline analytical processing
Online analytical processingSamraiz Tejani
 
Big Data: Setting Up the Big Data Lake
Big Data: Setting Up the Big Data LakeBig Data: Setting Up the Big Data Lake
Big Data: Setting Up the Big Data LakeCaserta
 
Top 60+ Data Warehouse Interview Questions and Answers.pdf
Top 60+ Data Warehouse Interview Questions and Answers.pdfTop 60+ Data Warehouse Interview Questions and Answers.pdf
Top 60+ Data Warehouse Interview Questions and Answers.pdfDatacademy.ai
 
Whats A Data Warehouse
Whats A Data WarehouseWhats A Data Warehouse
Whats A Data WarehouseNone None
 
Total Data Industry Report
Total Data Industry ReportTotal Data Industry Report
Total Data Industry ReportRan Zhang
 
Navigating the BI Stack _
Navigating the BI Stack _Navigating the BI Stack _
Navigating the BI Stack _Michael Phipps
 
Data-Ed: Trends in Data Modeling
Data-Ed: Trends in Data ModelingData-Ed: Trends in Data Modeling
Data-Ed: Trends in Data ModelingData Blueprint
 
Data-Ed Online: Trends in Data Modeling
Data-Ed Online: Trends in Data ModelingData-Ed Online: Trends in Data Modeling
Data-Ed Online: Trends in Data ModelingDATAVERSITY
 
Designing High Quality Data Driven Solutions 110520
Designing High Quality Data Driven Solutions 110520Designing High Quality Data Driven Solutions 110520
Designing High Quality Data Driven Solutions 110520MariaHalstead1
 
Are you ready for Data science? A 12 point test
Are you ready for Data science? A 12 point testAre you ready for Data science? A 12 point test
Are you ready for Data science? A 12 point testBertil Hatt
 

Similar to The Art of Requesting Data from IT (20)

Denodo DataFest 2016: Comparing and Contrasting Data Virtualization With Data...
Denodo DataFest 2016: Comparing and Contrasting Data Virtualization With Data...Denodo DataFest 2016: Comparing and Contrasting Data Virtualization With Data...
Denodo DataFest 2016: Comparing and Contrasting Data Virtualization With Data...
 
Introduction to data mining and data warehousing
Introduction to data mining and data warehousingIntroduction to data mining and data warehousing
Introduction to data mining and data warehousing
 
Differences between data lakes and datawarehouse
  Differences between data lakes and datawarehouse  Differences between data lakes and datawarehouse
Differences between data lakes and datawarehouse
 
Visualizing Your Data Through Dashboards
Visualizing Your Data Through Dashboards Visualizing Your Data Through Dashboards
Visualizing Your Data Through Dashboards
 
Online analytical processing
Online analytical processingOnline analytical processing
Online analytical processing
 
Big Data: Setting Up the Big Data Lake
Big Data: Setting Up the Big Data LakeBig Data: Setting Up the Big Data Lake
Big Data: Setting Up the Big Data Lake
 
Big data rmoug
Big data rmougBig data rmoug
Big data rmoug
 
Top 60+ Data Warehouse Interview Questions and Answers.pdf
Top 60+ Data Warehouse Interview Questions and Answers.pdfTop 60+ Data Warehouse Interview Questions and Answers.pdf
Top 60+ Data Warehouse Interview Questions and Answers.pdf
 
Date Analysis .pdf
Date Analysis .pdfDate Analysis .pdf
Date Analysis .pdf
 
Whats A Data Warehouse
Whats A Data WarehouseWhats A Data Warehouse
Whats A Data Warehouse
 
Total Data Industry Report
Total Data Industry ReportTotal Data Industry Report
Total Data Industry Report
 
Data Management
Data ManagementData Management
Data Management
 
Navigating the BI Stack _
Navigating the BI Stack _Navigating the BI Stack _
Navigating the BI Stack _
 
Data-Ed: Trends in Data Modeling
Data-Ed: Trends in Data ModelingData-Ed: Trends in Data Modeling
Data-Ed: Trends in Data Modeling
 
Data-Ed Online: Trends in Data Modeling
Data-Ed Online: Trends in Data ModelingData-Ed Online: Trends in Data Modeling
Data-Ed Online: Trends in Data Modeling
 
Bi 5
Bi 5Bi 5
Bi 5
 
Designing High Quality Data Driven Solutions 110520
Designing High Quality Data Driven Solutions 110520Designing High Quality Data Driven Solutions 110520
Designing High Quality Data Driven Solutions 110520
 
Are you ready for Data science? A 12 point test
Are you ready for Data science? A 12 point testAre you ready for Data science? A 12 point test
Are you ready for Data science? A 12 point test
 
Business analyst
Business analystBusiness analyst
Business analyst
 
Oracle sql plsql & dw
Oracle sql plsql & dwOracle sql plsql & dw
Oracle sql plsql & dw
 

Recently uploaded

VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...
VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...
VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...SUHANI PANDEY
 
FESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfFESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfMarinCaroMartnezBerg
 
BabyOno dropshipping via API with DroFx.pptx
BabyOno dropshipping via API with DroFx.pptxBabyOno dropshipping via API with DroFx.pptx
BabyOno dropshipping via API with DroFx.pptxolyaivanovalion
 
Mature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptxMature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptxolyaivanovalion
 
Accredited-Transport-Cooperatives-Jan-2021-Web.pdf
Accredited-Transport-Cooperatives-Jan-2021-Web.pdfAccredited-Transport-Cooperatives-Jan-2021-Web.pdf
Accredited-Transport-Cooperatives-Jan-2021-Web.pdfadriantubila
 
BigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptxBigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptxolyaivanovalion
 
April 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's AnalysisApril 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's Analysismanisha194592
 
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptxBPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptxMohammedJunaid861692
 
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdfMarket Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdfRachmat Ramadhan H
 
Smarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptxSmarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptxolyaivanovalion
 
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...Valters Lauzums
 
Carero dropshipping via API with DroFx.pptx
Carero dropshipping via API with DroFx.pptxCarero dropshipping via API with DroFx.pptx
Carero dropshipping via API with DroFx.pptxolyaivanovalion
 
BDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort Service
BDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort ServiceBDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort Service
BDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort ServiceDelhi Call girls
 
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...amitlee9823
 
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...amitlee9823
 
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779Delhi Call girls
 
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al BarshaAl Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al BarshaAroojKhan71
 

Recently uploaded (20)

VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...
VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...
VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...
 
FESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfFESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdf
 
BabyOno dropshipping via API with DroFx.pptx
BabyOno dropshipping via API with DroFx.pptxBabyOno dropshipping via API with DroFx.pptx
BabyOno dropshipping via API with DroFx.pptx
 
Mature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptxMature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptx
 
Accredited-Transport-Cooperatives-Jan-2021-Web.pdf
Accredited-Transport-Cooperatives-Jan-2021-Web.pdfAccredited-Transport-Cooperatives-Jan-2021-Web.pdf
Accredited-Transport-Cooperatives-Jan-2021-Web.pdf
 
BigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptxBigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptx
 
April 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's AnalysisApril 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's Analysis
 
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptxBPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
 
Call Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts Service
Call Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts ServiceCall Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts Service
Call Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts Service
 
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdfMarket Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
 
Smarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptxSmarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptx
 
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...
 
Carero dropshipping via API with DroFx.pptx
Carero dropshipping via API with DroFx.pptxCarero dropshipping via API with DroFx.pptx
Carero dropshipping via API with DroFx.pptx
 
Sampling (random) method and Non random.ppt
Sampling (random) method and Non random.pptSampling (random) method and Non random.ppt
Sampling (random) method and Non random.ppt
 
BDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort Service
BDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort ServiceBDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort Service
BDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort Service
 
Abortion pills in Doha Qatar (+966572737505 ! Get Cytotec
Abortion pills in Doha Qatar (+966572737505 ! Get CytotecAbortion pills in Doha Qatar (+966572737505 ! Get Cytotec
Abortion pills in Doha Qatar (+966572737505 ! Get Cytotec
 
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
 
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
 
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
 
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al BarshaAl Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
 

The Art of Requesting Data from IT

  • 1.
  • 2. ABOUT VANDERBILT UNIVERSITY MEDICAL CENTER • $2.3 Billion Annual Healthcare Operating Expenses (excludes academics and research) • $471.6 Million Annual Sponsored Research Budget • $843.6 Million Annual Charity Care, Community Benefits, and other Unrecovered Costs
  • 3.
  • 4.
  • 5. Freakonomics Radio - June 26, 2014
  • 6. I never would have imagined that it is an IT problem that you simply cannot get the data you want. We’ll spend three or six person months just put together a data set to do a basic analysis.
  • 7. How can we view the new ICD-10 codes in the revenue reports? ja' chel De' yotlh 'ej 'oH Hoch items cha' choH.
  • 8. Table Field Data Type Primary Key Record Normalization Foreign Key EDW OLAP OLTP Cubes Aggregation Index SQL View
  • 9. SLIDES AND HELPFUL TERMS ARE POSTED AT TERMINALIQ.COM/BLOG/ ALSO POSTED TO LINKEDIN
  • 10. IT’S 1 AM, DO YOU KNOW WHERE YOUR DATA IS?
  • 11. OLTP • Online Tranaction Processing • Designed for adding, deleting, and updating individual pieces of data. • Applications used by operations will use OLTP. OLAP • Online Analytical Processing • Designed for selecting data. • Reporting systems and data warehouses will use OLAP.
  • 12. IT’S 2 AM, DO YOU WHO YOUR DATA IS WITH?
  • 13. THE CURMUDGEON • Advantages: They know the system, data, and the history of how things came to be. • Disadvantages: Won’t let others access their data, let alone each anyone how to do what they do because they are afraid they will become unnecessary to the organization. • Strategies: Convince them you don’t want to upset the status quo but that they are your only hope. Give them something more to do then pull the data like validate it for reasonableness. Praise their contributions and helpfulness in front of their 1-ups.
  • 14. THE NEWBIE • Advantages: Wants to help and do a good job. • Disadvantages: Doesn’t know very much and might act like they know more than they do which can lead to bad data. • Strategies: Partner with the Newbie, teach them what the data means to operations. Invite them to your meetings or give them an in-depth tour of your area.
  • 15. THE GURU • Advantages: Knows the data and operations. Can you get the data you want the first time. • Disadvantages: No time to get to every request that comes their way. • Strategies: Your goal is to become her favorite end-user. Clearly define the data you need, going back for multiple iterations can be your death with the Guru. If there is anything you can do for them, do it.
  • 16. THE IDIOT • Advantages: None • Disadvantages: They are slow, do a half-assed job, and you have to double-check their work. • Strategies: Avoid the Idiot if you can. If you can’t, figure out a way to at least eliminate the slowness disadvantage. Candy bars or cokes are often good bribes.
  • 17.
  • 18. MORE STRATEGIES • Request forms for standard(ish) data needs. • For ad-hoc requests, have IT include a copy of the query with the data so you can easily request it again later. • For frequent data needs, ask if reports can be scheduled to run overnight. • Designate leads/experts from both operations, finance, IT, etc. to work together on reporting needs.
  • 20. The Art of Requesting Data from IT Presented by Brad Adams Helpful Terms Term Definition Aggregation Any time data is grouped or summarized. Many user-friendly reporting systems will automatically group and summarize data automatically. Cubes Pre-summarized datasets that increase response time of OLAP databases. When reporting from the general ledger, performance would be greatly improved by pre-summarizing monthly transitions by account, month/year, and department. Data Type Defines the acceptable inputs to a field. Common data types include text, number, date, and time. Field Similar to a column in a spreadsheet, it contains information of a particular type (e.g., First Name). Foreign Key A field that is a primary key in another table used to create a relationship between tables. Index Indexes are added to tables on one or more fields to speed up random lookups and improve overall performance and efficiency of the database. Normalization Database design methodology to minimize data redundancy by splitting data into it’s smallest useful parts. Rather than have a single field for name, a normalized database will have separate fields for first, middle, last, and sometimes preferred and maiden names. OLTP databases will typically be normalized while OLAP not be fully normalized. OLAP Online Analytical Processing is a database architecture specializing in selecting information. Reporting systems and data warehouses will typically use an OLAP architecture. OLTP Online Transaction Processing is a database architecture specializing in adding, updating, and deleting records but is not efficient in selecting records (not good for reporting). Applications used by operations (e.g., registration) will typically use an OLTP architecture. Primary Key A field or combination of fields that uniquely identify a record in a table. Record Similar to a row in a spreadsheet, in contains a data set representing a single item. terminaliq.com!1 of !2
  • 21. The Art of Requesting Data from IT Presented by Brad Adams Term Definition SQL Structured Query Language (pronounced Sea-Quill) is a common program language used to manipulate databases. Many commercial database platforms will have their own flavor of SQL such as pl/sql for Oracle and T-SQL for Microsoft SQL Server. Table A collection of fields and records. Think the rows and columns of a spreadsheet. View A saved query that can be accessed similiar to a table. EDW Enterprise Data Warehouse is where all of your data should reside and should make it easy to get and create useful, timely, reports. Recommended Reading I’ve purchased these two books for new team members multiple times and highly recommend them to anyone who needs to better understand databases. If you use the links below I’ll earn about $1 on each book. • Database Design for Mere Mortals (3rd Edition) - Michael Hernandez http://amzn.to/1CWMm18 • SQL Queries for Mere Mortals (3rd Edition) - Michael Hernandez http://amzn.to/1rgXRLr terminaliq.com!2 of !2