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© 2019 NTT DATA Mathematical Systems Inc. 15 Feb. 2019 NTT DATA Mathematical Systems, Inc. Keisuke Iwamoto ([email protected]) Data & Intelligence Global One Team NTT DATA Mathematical Systems, Inc. ‘Analysis’

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Page 1: Data & Intelligence Global One Team ‘Analysis’ - msi.co.jp · © 2019 NTT DATA Mathematical Systems Inc. 15 Feb. 2019 NTT DATA Mathematical Systems, Inc. Keisuke Iwamoto (iwamoto@msi.co.jp)

© 2019 NTT DATA Mathematical Systems Inc.

15 Feb. 2019NTT DATA Mathematical Systems, Inc.Keisuke Iwamoto ([email protected])

Data & Intelligence Global One Team

NTT DATA Mathematical Systems, Inc. ‘Analysis’

Page 2: Data & Intelligence Global One Team ‘Analysis’ - msi.co.jp · © 2019 NTT DATA Mathematical Systems Inc. 15 Feb. 2019 NTT DATA Mathematical Systems, Inc. Keisuke Iwamoto (iwamoto@msi.co.jp)

2© 2019 NTT DATA Mathematical Systems Inc.

1. Optimization Let’s PoC

2. Analytics Self-service

3. Deployment Platform to appear

NTT DATA Mathematical Systems Inc. offers you

Page 3: Data & Intelligence Global One Team ‘Analysis’ - msi.co.jp · © 2019 NTT DATA Mathematical Systems Inc. 15 Feb. 2019 NTT DATA Mathematical Systems, Inc. Keisuke Iwamoto (iwamoto@msi.co.jp)

3© 2019 NTT DATA Mathematical Systems Inc.

1.Our Features

2.Technologies and Products• Machine Learning

• Bayesian Network

• Text Mining

3.Product Demonstration• Deep Learning Designing Tool ‘Deep Learner’

‘Analysis’ : NTT Data Mathematical Systems, Inc.

Page 4: Data & Intelligence Global One Team ‘Analysis’ - msi.co.jp · © 2019 NTT DATA Mathematical Systems Inc. 15 Feb. 2019 NTT DATA Mathematical Systems, Inc. Keisuke Iwamoto (iwamoto@msi.co.jp)

4© 2019 NTT DATA Mathematical Systems Inc.

Our Features

Page 5: Data & Intelligence Global One Team ‘Analysis’ - msi.co.jp · © 2019 NTT DATA Mathematical Systems Inc. 15 Feb. 2019 NTT DATA Mathematical Systems, Inc. Keisuke Iwamoto (iwamoto@msi.co.jp)

5© 2019 NTT DATA Mathematical Systems Inc.

Analysis in Your Hands !

Business problems of today tend to be becoming more and more complicated...

Therefore, we depend more and more on YOUR knowledge of the business field to solve them.

Data analysis is

NOT ONLYa task for data scientists!

??BusinessProblemsImproving Productivity Cost Reduction

Increasing theValue of Product

Skill Inheritance

Quality Management

ImprovingCustomer Satisfaction

Page 6: Data & Intelligence Global One Team ‘Analysis’ - msi.co.jp · © 2019 NTT DATA Mathematical Systems Inc. 15 Feb. 2019 NTT DATA Mathematical Systems, Inc. Keisuke Iwamoto (iwamoto@msi.co.jp)

6© 2019 NTT DATA Mathematical Systems Inc.

Do Analysis on Your Own with Our Tools !

The thing needed is your business experience and sense only.

Our tools and staffs strongly support your analysis process.

Our AnalysisTools

Your

Knowledgeand

Sensebased on your business field

Our Staffs’ Support

Page 7: Data & Intelligence Global One Team ‘Analysis’ - msi.co.jp · © 2019 NTT DATA Mathematical Systems Inc. 15 Feb. 2019 NTT DATA Mathematical Systems, Inc. Keisuke Iwamoto (iwamoto@msi.co.jp)

7© 2019 NTT DATA Mathematical Systems Inc.

Trial & Error Environment

You must be ready to repeat the trial & error processthrough analysis, but you don’t have to be worried about it!

Our analysis platform ‘VAP’ provides...

Visual ProgrammingEnvironment

provides clear perspective of analysis process

Practical DataPreprocessing

Functions

Powerful Visualization

Functions

supports your data understanding strongly

Result of analysis will be shown in layman’s termsand will help to enhance

your insight

Page 8: Data & Intelligence Global One Team ‘Analysis’ - msi.co.jp · © 2019 NTT DATA Mathematical Systems Inc. 15 Feb. 2019 NTT DATA Mathematical Systems, Inc. Keisuke Iwamoto (iwamoto@msi.co.jp)

8© 2019 NTT DATA Mathematical Systems Inc.

Our Experience and Strengths

We’ve developed and provided analysis tools for 20 years and constantly improved them by hearing customers’ opinions.

Technical development staffs directly answer your questions, assist in your start-up and do consulting with your data.

Many years of practical experience have made us well familiar with the so-called ‘Vital Points’ of analysis process.

• Choice of machine learning method

• Parameter tuning

• Data re-formatting technique...to acquire meaningful results, to improve accuracy

Page 9: Data & Intelligence Global One Team ‘Analysis’ - msi.co.jp · © 2019 NTT DATA Mathematical Systems Inc. 15 Feb. 2019 NTT DATA Mathematical Systems, Inc. Keisuke Iwamoto (iwamoto@msi.co.jp)

9© 2019 NTT DATA Mathematical Systems Inc.

Technologies&

Products

Page 10: Data & Intelligence Global One Team ‘Analysis’ - msi.co.jp · © 2019 NTT DATA Mathematical Systems Inc. 15 Feb. 2019 NTT DATA Mathematical Systems, Inc. Keisuke Iwamoto (iwamoto@msi.co.jp)

10© 2019 NTT DATA Mathematical Systems Inc.

Machine Learning

Machine Learning is...

Technology aiming to achieve human learning and judgment ability by computer

supervised learning

Unsuccessful

Successful

Model

I’ve learned!

Whichtype it is?

Unsuccessful!

Model

Page 11: Data & Intelligence Global One Team ‘Analysis’ - msi.co.jp · © 2019 NTT DATA Mathematical Systems Inc. 15 Feb. 2019 NTT DATA Mathematical Systems, Inc. Keisuke Iwamoto (iwamoto@msi.co.jp)

11© 2019 NTT DATA Mathematical Systems Inc.

Machine Learning

unsupervised learning

Criteria of judgement is calledrepresented as formulae and logic in computer.

Model

Classify them

Model

OK! Done!

Page 12: Data & Intelligence Global One Team ‘Analysis’ - msi.co.jp · © 2019 NTT DATA Mathematical Systems Inc. 15 Feb. 2019 NTT DATA Mathematical Systems, Inc. Keisuke Iwamoto (iwamoto@msi.co.jp)

12© 2019 NTT DATA Mathematical Systems Inc.

Machine Learning : Products

Products Feature

Visual Mining Studio Our flagship product covering practical analytical functions.Functions can be categorized into the following 3 types,1) Predictive Modeling, 2) Clustering, 3) Association Analysis.

Deep Learner Building models by using up-to-date ML technology ‘Deep Learning’ with GUI, without writing any program codes.

Big Data Module Equipping methods specialized for big data (~TB order).

Field of Application : Example

Manufacturing IndustryAutomatic anomaly detectionusing time series sensor data

MarketingCustomer segmentation,predicting withdrawalfrom the service

Anomaly!

Page 13: Data & Intelligence Global One Team ‘Analysis’ - msi.co.jp · © 2019 NTT DATA Mathematical Systems Inc. 15 Feb. 2019 NTT DATA Mathematical Systems, Inc. Keisuke Iwamoto (iwamoto@msi.co.jp)

13© 2019 NTT DATA Mathematical Systems Inc.

Machine Learning : Deep Learning

Deep Learning is...

Powerful variant of neural network, and it maybe able to build more complicated models and

solve more difficult problems

Simple Neural Network(3 layers)

Deep Learner

More detailed network setting

Natural LanguageProcessing

Time Series DataProcessing ....

• Classification

• Feature Extraction....

difficult problems

Page 14: Data & Intelligence Global One Team ‘Analysis’ - msi.co.jp · © 2019 NTT DATA Mathematical Systems Inc. 15 Feb. 2019 NTT DATA Mathematical Systems, Inc. Keisuke Iwamoto (iwamoto@msi.co.jp)

14© 2019 NTT DATA Mathematical Systems Inc.

Bayesian Network

Bayesian Network is...

Causal modeling method represented graphically, which allows to make inferences

from unknown situations

Bayesian Network

example:

What factors are affectingthe selection of cosmetics?

Data

StructureLearning

Page 15: Data & Intelligence Global One Team ‘Analysis’ - msi.co.jp · © 2019 NTT DATA Mathematical Systems Inc. 15 Feb. 2019 NTT DATA Mathematical Systems, Inc. Keisuke Iwamoto (iwamoto@msi.co.jp)

15© 2019 NTT DATA Mathematical Systems Inc.

Bayesian Network : Products

Product Feature

BayolinkS Performing Bayesian Network analysis with a simple mouse operation. The most popular Bayesian Network tool in Japan!

Field of Application : Example

Manufacturing IndustryInvestigating the hidden causeof problems from the failureinformation data

Health CareExtracting risk factors fordiseases from examinationitems BayolinkS Screenshot

Page 16: Data & Intelligence Global One Team ‘Analysis’ - msi.co.jp · © 2019 NTT DATA Mathematical Systems Inc. 15 Feb. 2019 NTT DATA Mathematical Systems, Inc. Keisuke Iwamoto (iwamoto@msi.co.jp)

16© 2019 NTT DATA Mathematical Systems Inc.

Text Mining

Text Mining is...

Processes discovering useful knowledge and rules from a large amount of text data

grasping overall trend by performing word aggregation

understanding topics from word association information

typical outputs

understanding relationship between text and its attribute

by 2-D mapping

Page 17: Data & Intelligence Global One Team ‘Analysis’ - msi.co.jp · © 2019 NTT DATA Mathematical Systems Inc. 15 Feb. 2019 NTT DATA Mathematical Systems, Inc. Keisuke Iwamoto (iwamoto@msi.co.jp)

17© 2019 NTT DATA Mathematical Systems Inc.

Text Mining : Product

Product Feature

Text Mining Studio Based on our own natural language processing technique and statistical point of view, providing reliable text analysis environment. Its easy operation is well received.

Field of Application : Example

Contact CenterAutomatic classification ofcustomers’ inquiries and obtaininginformation for FAQ maintenance

Technical Document AnalysisTo help with technologymarketing, analyze patentdocuments and published papers

Target Language : English and Japanese are available

Text Mining StudioScreenshot

Page 18: Data & Intelligence Global One Team ‘Analysis’ - msi.co.jp · © 2019 NTT DATA Mathematical Systems Inc. 15 Feb. 2019 NTT DATA Mathematical Systems, Inc. Keisuke Iwamoto (iwamoto@msi.co.jp)

18© 2019 NTT DATA Mathematical Systems Inc.

Text Mining

Representative Application Field Overview

Marketing Finance

Machine LearningTransaction Data

Risk Evaluation

POS Data

Manufacturing

Anomaly

Detection

Sensor Data

Contact Center

CustomerInquire Log

Bayesian Network

Understanding

Problem Cause

TechnicalDocuments

Technology

Marketing

SNS Contents

Understanding

Customers’ Trend

Data Application

Failure Report

ConsumerQuestionnaire

CS Improvement

Page 19: Data & Intelligence Global One Team ‘Analysis’ - msi.co.jp · © 2019 NTT DATA Mathematical Systems Inc. 15 Feb. 2019 NTT DATA Mathematical Systems, Inc. Keisuke Iwamoto (iwamoto@msi.co.jp)

19© 2019 NTT DATA Mathematical Systems Inc.

Product Demonstration

Page 20: Data & Intelligence Global One Team ‘Analysis’ - msi.co.jp · © 2019 NTT DATA Mathematical Systems Inc. 15 Feb. 2019 NTT DATA Mathematical Systems, Inc. Keisuke Iwamoto (iwamoto@msi.co.jp)

20© 2019 NTT DATA Mathematical Systems Inc.

Our Message

Do analysis on your ownwith our tools!

Our experienced staffs support you so much.

Page 21: Data & Intelligence Global One Team ‘Analysis’ - msi.co.jp · © 2019 NTT DATA Mathematical Systems Inc. 15 Feb. 2019 NTT DATA Mathematical Systems, Inc. Keisuke Iwamoto (iwamoto@msi.co.jp)

© 2019 NTT DATA Mathematical Systems Inc.