Business-driven advanced analytics in practice - HiQ Finland
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BUSINESS-DRIVEN ADVANCED ANALYTICS IN PRACTICEIINA JUURINENDATA SCIENTISTHiQ FINLAND
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HOW DID I END UP HERE?
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DATA ANALYTICS
With data analytics your business is
Smarter
More productive
Better at making predictions
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HOW TO GET PAST THE HYPE PERIOD?
In order to have a succesful data analytics
project you need a plan
Important questions:
What is the problem you want to solve?
What is the data to be used?
What type of analytics is applied?
How the analytics is going to transform
business processes?
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TODAY
1. Most important aspects of data analytics project
+ example case
2. How R in SQL server 2016 affects advanced
analytics projects
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ADVANCED ANALYTICS
PROJECT
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EXAMPLE CASE
Example data is Eat.fi restaurant
reviews
”Ihanat gluteenittomat pannarit. Tilasimme
makeat pannarit gluteenittomana kahvin kanssa
nam !”
”Naan leipä todella hyvää. Runsaat annokset.
Maukas ruoka. Ystävällinen palvelu.”
”Kiireinen, välinpitämätön "palvelu", standardit
hampurilaiset ja suolattomat pikku ranskikset eivät
paljon mieltä piristäneet.”
”Paras lämmin nacholautanen mitä Helsingissä olen
maistanut ja siitä riitti helposti kahdelle. Burgeri ja
taco annokset olivat monipuolisia mauiltaan ja eivät
jättäneet nälkäiseksi. Palvelu oli myös ystävällistä!”
”Maukasta ruokaa selkeästi hyvistä raaka-aineista.
Ensiluokkainen, ystävällinen ja nopea palvelu.
Toivottavasti suuri yleisö löytäisi tämän paikan.”
”Erittäin herkullista ruokaa; kaunis esillepano ja
tuoreet, sesonginmukaiset raaka-aineet.
Ystävällinen ja iloinen henkilökunta. Ravintola
viusuaalisesti kaunis kokonaisuus.”
Eurooppalaista
Kahvilat
Pikaruokaa
/ ketjut
Baari /
pubiruokaa
Fine
dining
Aasialaista
Muuta
Big company that owns different
type of restaurants
Problem: Customer feedback
coming through online form is not
directed to correct departments
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HOW TO HAVE A SUCCESSFUL DATA ANALYTICS PROJECT?
Clear metrics
Consistent data collection
Using data to answer questions
STEP 1. DATA-DRIVEN CULTURE
STEP 2. SCREENING IDEAS
Predictive question
Clear path of action
Data quality and access
Business process
STEP 3. PROBLEM FORMULATION
Business goal
Business metrics
Performance requirements
Project scope, schedule, resources...
STEP 4. CONSUMPTION SCENARIOS
Use of results
When, how, who, how often
Business value creation
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EXAMPLE CASE AFTER THE FIRST SPRINT
Performance requirements
are not metProven fit to business process
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R IN SQL SERVER 2016
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WHAT IS R?
Tool for statistical computing and graphics
Programming language and a software
environment
WHY IS R POPULAR?
Ready-made packages for different types
of analytics needs
Modifying data
Machine learning
Statistics
Visualizations
Fast, easy, and convenient
analytics projects
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R IN SQL SERVER 2016
Eliminate:
Costs
Security risks
Increase:
R script performance
1. By using your own computer and your
preferred R tool (e.g. RStudio)
- Calculations in the SQL host server
2. By running R scripts like any stored
procedure in Transact-SQL
TWO-WAY USE ANALYTICS CLOSE TO THE DATA
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DATA PROJECTS AND R IN SQL SERVER
Clear metrics
Consistent data collection
Using data to answer questions
STEP 1. DATA-DRIVEN CULTURE
STEP 2. SCREENING IDEAS
Predictive question
Clear path of action
Data quality and access
Business process
STEP 3. PROBLEM FORMULATION
Business goal
Business metrics
Performance requirements
Project scope, schedule, resources...
STEP 4. CONSUMPTION SCENARIOS
Use of results
When, how, who, how often
Business value creation
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R AS PART OF SQL SERVER – EXAMPLE CASE
Web input SQL serverTrained
R model
Reporting
Enriched
data
Original
data
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SUMMARY
You can gain considerable business
benefits from data analytics
Smart planning
Clear vision
Business goals
Good question
With R in SQL server you can perform
analytics where the data is
No data transfer
Powerful engine
STEP 1. DATA-DRIVEN CULTURE
STEP 2. SCREENING IDEAS
STEP 3. PROBLEM FORMULATION
STEP 4. CONSUMPTION
SCENARIOS
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ANALYTICS WITH BUSINESS IN MIND
www.datadrivenbusiness.fi
Iina Juurinen
Email: [email protected]
Puh: 050 4657979