hochschule düsseldorf fachbereich ...€¦ · web & social analytics sentiment analysis deep...

HSDHochschule Düsseldorf

University of Applied Scienses

WFachbereich Wirtschaftswissenschaften

Faculty of Business Studies

IT Applications in Business Analytics

Business Analytics (M.Sc.)

IT in Business Analytics

SS2016 / 01 – Introduction

Thomas Zeutschler

SS 2016 - IT Applications in Business Analytics - 1.

Introduction 1

HSDFaculty of Business Studies

Thomas Zeutschler

Associate Lecturer

Lecturer

SS 2016 - IT Applications in Business Analytics - 1. Introduction 2

Thomas Zeutschler

Head of Analytics Center of Excellence and

Lead Architect for Business Intelligence

at Henkel AG & Co. KGaA, Düsseldorf

HSD

Faculty of Business Studies

Associate Lecturer

IT Applications in Business Analytics


Thomas Zeutschler

Associate Lecturer

Let‘s get started…



Thomas Zeutschler

Associate Lecturer

Targets of Module and Lectures


German

“Die Studierenden erlernen die Anwendung praxisrelevanter IT-

Werkzeuge (für Business Analytics) anhand von Fallstudien.”

English

“Students will learn to apply analytical tools on business problems.”

American English

“We’ll try make you a Bruce Willis in Analytics.”


Thomas Zeutschler

Associate Lecturer

Scope of Module and Lectures


Advanced Analytics“Advanced Analytics is the

autonomous or semi-

autonomous examination of

data or content using

sophisticated techniques and

tools, typically beyond those of

traditional business intelligence

(BI), to discover deeper

insights, make predictions, or

generate recommendations.”http://www.gartner.com/it-glossary/

http://www.gartner.com/it-glossary/


Thomas Zeutschler

Associate Lecturer

In Scope / Out of Scope


Data Science

Data Mining, Text Mining

Predictive Analytics, Simulation, Machine Learning

Database Technologies

Information Retrieval

Data Analysis

Text Analysis, Semantic Web, XML

Data Warehouse, Data Mart, ETL

In Memory Technologies

Reporting, OLAP

Data and Decision Modelling

Data Visualization

Data Quality Management, Data Protection

Specific Business Applications ► Case Studies


Thomas Zeutschler

Associate Lecturer

Product

Quality

Price Prediction

Next Best Offer

Customer Churn

Sensor Data

Process

Optimization

Sales

Forecasting

Fraud

Detection

IoTPredictive

Maintenance

Web & Social

Analytics Sentiment

Analysis

Deep

LearningFinancial

SimulationPattern

Detection

Analytical

Apps

Customer

Segmentation

Basket

Analysis

Up-/Cross-Selling

News &

AlertsText

MiningData

Visualization

SS 2016 - IT Applications in Business Analytics - 1. Introduction

Application of Analytics in Business Science

7


Thomas Zeutschler

Associate Lecturer

Sequence of Lectures


Introduction 1st April 2016

Methodology and process model for analytics (CRISP DM)

Tools, technologies and data sources

The R Programming Language

KNIME

Case Study 1

Case Study 2

Case Study 3

Wrap Up 8th July 2016

1

2

3

4

5

6

9

12

15

Theory

Tools Training

Hands On Case Studies


Thomas Zeutschler

Associate Lecturer

Analytics Value Chain



Thomas Zeutschler

Associate Lecturer

communicate,

decide,

take action

“leverage insights”

ActionInsight

process and

evaluate data,

derive insights

“data modelling”

Information

understand,

transform and

structure data

“data understanding”

Analytics Value Chain


Data

identify, access,

store and

manage data

“data discovery”


Thomas Zeutschler

Associate Lecturer

ActionInsightInformation

Analytics Value Chain – Technology Building Blocks


Data

(Big) Data Management

Data Acquisition Data Modelling & Analytics Automation


Thomas Zeutschler

Associate Lecturer

Technology Building Blocks – Your lost…



Thomas Zeutschler

Associate Lecturer

ActionInsightInformationData

Module – Focus Technologies


(Big) Data Management

Data Acquisition Data Modelling & Analytics Automation

not relevantInternet


Thomas Zeutschler

Associate Lecturer

Adventures in Analytics



Thomas Zeutschler

Associate Lecturer

ExerciseVisualize the successive losses

in men of Napoléon's French

army troops in the Russian

campaign 1812-1813.

The Beauty of Evidence



Thomas Zeutschler

Associate Lecturer

ExerciseVisualize the successive losses

in men of Napoléon's French

army troops in the Russian

campaign 1812-1813.

The Beauty of Evidence


Map of the successive losses in men

of the French army in the Russian campaign 1812-1813by Charles Jospeh Minard in 1869


Thomas Zeutschler

Associate Lecturer

The Force of Analytics



Thomas Zeutschler

Associate Lecturer




Thomas Zeutschler

Associate Lecturer

Data Scientist



Thomas Zeutschler

Associate Lecturer

9 Skills You Need to Become a Data Scientist


Technical Skills: Analytics1. Education Data scientists are highly educated – 88% have at least a Master’s degree and 46%

have PhDs – and while there are notable exceptions, a very strong educational background is

usually required to develop the depth of knowledge necessary to be a data scientist. Their most

common fields of study are Mathematics and Statistics (32%), followed by Computer Science (19%)

and Engineering (16%).

2. Analytical Tools In-depth knowledge of at least one analytical tool, for data science R is

generally preferred.


Thomas Zeutschler

Associate Lecturer



Technical Skills: Computer Science 3. Python Coding Python is the most common coding language I typically see required in data

science roles, along with Java/C#, Perl, or C/C++.

4. Hadoop Platform Although this isn’t always a requirement, it is heavily preferred in many cases.

Having experience with Hive or Pig is also a strong selling point. Familiarity with cloud tools such as

Amazon S3 or Microsoft Azure can also be beneficial.

5. SQL Database/Coding Even though NoSQL and Hadoop have become a large component of

data science, it is still expected that a candidate will be able to write and execute complex queries in

SQL.

6. Unstructured data It is critical that a data scientist be able to work with unstructured data,

whether it is from social media, video feeds or audio.


Thomas Zeutschler

Associate Lecturer



Technical Skills: Computer Science 7. Intellectual curiosity No doubt you’ve seen this phrase everywhere lately, especially as it

relates to data scientists. Frank Lo describes what it means, and talks about other necessary “soft

skills” in his guest blog posted a few months ago.

8. Business acumen To be a data scientist you’ll need a solid understanding of the industry you’re

working in, and know what business problems your company is trying to solve. In terms of data

science, being able to discern which problems are important to solve for the business is critical, in

addition to identifying new ways the business should be leveraging its data.

9. Communication skills Companies searching for a strong data scientist are looking for

someone who can clearly and fluently translate their technical findings to a non-technical team, such

as the Marketing or Sales departments. A data scientist must enable the business to make decisions

by arming them with quantified insights, in addition to understanding the needs of their non-technical

colleagues in order to wrangle the data appropriately. Check out our recent flash survey for more

information on communication skills for quantitative professionals.


Thomas Zeutschler

Associate Lecturer

Lecture Summary & Homework



Thomas Zeutschler

Associate Lecturer

Lessons Learned


Scope and lectures of module “IT applications in business analytics”.

Analytics is a very wide and depth field of science, methodologies,

technologies and professional business.

Data and analytics is the #1 driver for new business models.

Mastering data and analytics is a competition advantage.

“Analytics is Fun!” Bruce Willis


Thomas Zeutschler

Associate Lecturer

Resources


Analytics Site

https://www.informs.org/

http://www.kdnuggets.com/

https://www.kaggle.com/

Analytics Literature (eBooks)

http://www.mckinseyonmarketingandsales.com/ebook-big-data-

analytics-and-the-future-of-marketing-sales

https://www.informs.org/

http://www.kdnuggets.com/

https://www.kaggle.com/

http://www.mckinseyonmarketingandsales.com/ebook-big-data-analytics-and-the-future-of-marketing-sales


Thomas Zeutschler

Associate Lecturer

Prepare your laptop / infrastructure…

Download and install R and R-Studio R >>> https://cran.rstudio.com/

R-Studio >>> https://www.rstudio.com/products/rstudio/download/

Register, download and install KNIME KNIME >>> http://www.knime.org

Register for Azure For individual purposes: https://azure.microsoft.com/de-de/free/

For course purposes: already done

Get Prepared (Homework)


https://cran.rstudio.com/

https://www.rstudio.com/products/rstudio/download/

http://www.knime.org/

https://azure.microsoft.com/de-de/free/


Thomas Zeutschler

Associate Lecturer

Any Questions?


hochschule düsseldorf fachbereich ...€¦ · web & social analytics sentiment analysis deep...

Documents