1. Springboard from Business Intelligence to Business Analytics
Microsoft Ignite 2016
6/1/2018 4:22 PM
BRK3320
Springboard from Business Intelligence to Business Analytics
Jen Stirrup
Data Whisperer
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

2. Let your data surprise you.
Microsoft Ignite 2016
6/1/2018 4:22 PM
Let your data surprise you.
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

3. Business Intelligence versus Business Analytics?
Microsoft Ignite 2016
6/1/2018 4:22 PM
Business Intelligence versus Business Analytics?
Business Analytics
Business Value
Business Intelligence
Implementation Difficulty
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

4. Microsoft Ignite 2016
6/1/2018 4:22 PM
Business Intelligence is needed to run the business. Business Analytics are needed to change the business
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

5. Business Intelligence is like a rear view mirror….
Microsoft Ignite 2016
6/1/2018 4:22 PM
Business Intelligence is like a rear view mirror….
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

6. Microsoft Ignite 2016
6/1/2018 4:22 PM
Business Analytics is looking in front of you to see what is going to happen
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7. Analytics is perceived as hard…. But it’s not unattainable.
Microsoft Ignite 2016
6/1/2018 4:22 PM
Analytics is perceived as hard…. But it’s not unattainable.
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

8. Business Intelligence is not antiquated
Microsoft Ignite 2016
6/1/2018 4:22 PM
Business Intelligence is not antiquated
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

9. Different Insights, Together.
Microsoft Ignite 2016
6/1/2018 4:22 PM
Different Insights, Together.
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

10. Getting Started CRISP-DM
Microsoft Ignite 2016
6/1/2018 4:22 PM
Getting Started CRISP-DM
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

11. Microsoft Ignite 2016 6/1/2018 4:22 PM
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

12. Business Intelligence Questions… Business Analytics Questions…
Microsoft Ignite 2016
6/1/2018 4:22 PM
Business Intelligence Questions…
Business Analytics Questions…
How many customers visited last week?
How many customers are likely to visit this week?
When did customer X last visit the store?
What’s the probability that customer X will visit the store this week?
Where do my highest spending customers come from?
What is the revenue potential of people in certain areas?
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

13. Moving to Analytics Microsoft R Server with Gallery Excel and Power BI
6/1/2018 4:22 PM
Moving to Analytics
Microsoft R Server with Gallery
Excel and Power BI
AzureML
© 2014 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

14. Demo: Microsoft R Server Gallery
Jen Stirrup

15. Moving to Analytics Microsoft R Server with Gallery SQL, R and Python
6/1/2018 4:22 PM
Moving to Analytics
Microsoft R Server with Gallery
SQL, R and Python
AzureML
© 2014 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

16. SQL, R and Python
Jen Stirrup

17. R and Python Equivalent Commands
Functions R
Python
Install Package
install.packages(‘packagename')
pip install name
Load Package
Library(‘packagename’)
import packagename as other_name
Working Directory
getwd()
import os os.getcwd()
Set Working Directory
setwd()
os.chdir()
List Files
dir()
os.listdir()
List All Objects
ls()
globals()
Remove an Object
rm(‘name’)
del(‘object’)

18. R and Python Data Frames
Functions R
Python
Creating a Data Frame 4 by 2
A<matrix(
runif(24,0,1),nrow=4,ncol=2)
df<data.
frame(A)
import numpy as np
import pandas as pd
A=np.random.randn(6,4)
df=pd.DataFrame(A)

19. R and Python Data Frames
Functions R
Python
SQL
Row Names
rownames(df)
df.index
Column Names
colnames(df)
df.columns
sp_help
Top Rows of Data
head(df,x)
df.head(x)
SELECT TOP(x) from df
Bottom Rows of Data
tail(df,x)
df.tail(x)
SELECT
Dimension of Data
dim(df)
df.shape
SELECT COUNT(*) FROM df AS Rowcount
Number of columns
length(df)
len(df)
SELECT Count(*) FROM INFORMATION_SCHEMA.Columns where TABLE_NAME = ‘df'

20. Inspecting Data Functions R Python SQL Basic stats summary(df)
df.describe
AVG, MIN, MAX,
Set rownames
rownames(df)=c(“A”, ”B”, “C”, ”D”,
“E”, ”F”)
df.index=[“A”, ”B”, “C”, ”D”,
“E”, ”F”]
sp_help
Set column names
colnames=c(“P”, ”Q”, “R”, ”S”)
df.head(x)
SELECT TOP(x) from df

21. Inspecting Data Functions R Python SQL Basic stats summary(df)
df.describe
AVG, MIN, MAX,
Sort Data
df[order(df$P),]
df.sort(['P'])
ORDER BY df.P
Set column names
colnames=c(“P”, ”Q”, “R”, ”S”)
df.head(x)
SELECT TOP(x) from df

22. Selecting Data Functions R Python SQL Selecting rows df[x:y,] df[x1:y]
WHERE
Selecting rows X and Y
myvars <- c(“X”,”Y”)
newdata <- df[myvars]
df.loc[:,[‘X’,’Y’]]
SELECT X, Y from df
Selecting rows x and y, with columns a and
df[x:y,a:b]
df.iloc[x1:
y,a1, b]
SELECT TOP(x) from df
Selecting a cell row x and column y
df[x,y]
df.iat[x1,y1]

23. Functions R Python Sum sum(x) math.fsum(x) Square Root sqrt(x)
Description R
Python
Sum
sum(x)
math.fsum(x)
Square Root
sqrt(x)
math.sqrt(x)
Standard Deviation
sd(x)
numpy.std(x)
Log
log(x)
math.log(x[,base])
Mean
mean(x)
numpy.mean(x)
Median
median(x)
numpy.median(x)

24. Data Visualisation R Python Scatter Plot sum(x) Boxplot sqrt(x)
Description R
Python
Scatter Plot
sum(x)
plt.scatter(variable1,variable2)
plt.show()
Boxplot
sqrt(x)
plt.boxplot(Var)
Histogram
sd(x)
numpy.std(x)
Pie Chart
log(x)
math.log(x[,base])
Mean
mean(x)
numpy.mean(x)
Median
median(x)
numpy.median(x)

25. Questions?
Jen Stirrup

26. Please evaluate this session
6/1/2018 4:22 PM
Please evaluate this session
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27. 6/1/2018 4:22 PM
© 2014 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.