Our mission is to manage a huge amount of communication and document data in large scale industry projects by providing web based project management systems. The increasing amount of communication creates the desire for a GPS helping us and our customers to navigate through the communication stream. Our R&D projects are focusing on topics like clustering, event detection, and network analysis (Who knows who, domain experts). Traveling the wild side of NLP, Data Science, and Analytics, we stumbled across amazing Python tools supporting us in our goal to navigate the project communication and therefor supporting our clients in Project & Risk Management avoiding wrong turns. We would like to share some of our approaches to answer our research topics and challenges: One of the challenges, amongst others, is to utilize and adapt up to date clustering algorithms for social stream data and to expose them as reentrant services. Another one is to tailor them for the current application domain, improving clustering precision by parametrization and other means. Furthermore the integration of a Python based analytics system into an existing JAVA based application environment and eco system is required. In addition, we would also like to share some of our “traffic jams” experienced during our travel starting as traditional Java/SQL focusing company that integrated Python into its development portfolio.

1. SOBIS Software GmbH
Our software and your power for successful projects

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SOBIS | Our software and your power for successful projects.
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From an old-school data managing company …
… to data analytics with Python

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» Stephan Gramlich
• Head of Products & Services
• Lecturer (IT PM) at Cooperative State
University Mannheim, Germany
• Social network perspective to IT
service management
• linkedin.com/in/stephan-gramlich-
3ab28327/
» Henrik Hain
• Software Developer & Analytics Evangelist
• M.Sc. Student @Karlsruhe Institute for
Technology
• Machine Learning, Neural Nets, Cognitive
Systems
• Research on event detection in big data streams
• @MrHenHan

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» We would like to tell you our Python journey
• Why we (a former Java only company) love Python
• How Python supports us to achieve our product visions
• How we use Python to cluster communication and detect events
» We are the new guys… so we appreciate any feedback from you 
Our Talk

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PIRS – Project Collaboration and Communication System
Correspondence Management
• Storing project information
• Sending, storing and tracking project
correspondence
• E-Mails, Letters, etc..
• Action Item Management & Follow Up
• Out of the Box Interface to your mailbox
Document Management
• Storing all project relevant documents
• Generating Transmittal Slips
• Controlling of the distribution of drawings
• Tracking the status of drawings
• Revision control / approval workflows

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PIRS - Product Technology Journey
Lotus Notes
Domino (1998)
Java Web Applications
(2009)
Java meets Python
(2015)

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Our customers

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Our customers

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Project Communication

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Project Portfolio & Communication

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» Managed project » Manage your project data
• Folders & projects
• Correspondence & meta data
• Controlling & follow up
• Favorites & Tags
• Reports
• Filters & Full Text Search
» Search Content
• User wants to search for a specific content or
information
• Topic is already known by the user
Project Communication

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» Is manual classification of information still state of the art?
» Why don’t we use the core of correspondence?
» Vision: Provided content & information
• How can we implement the possibility that our application provides content
• Presented to the specific target audience
• Content wants to find its audience
Questions & Vision

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» Recommendation Engine
» Identification of domain experts / profiling
» Project Trends & Risks
» Clustering and Event Detection
Use Cases – Our Vision

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Task - Identify Topics, Hot Topics and Events
Order-66
PM Invoices
Topics
• Labled Cluster
Hot Topics
• Cluster growth above average
Events
• New Cluster
• Exceptional Cluster growth
Available Information
• Participants, Content, and Meta
Inform.

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Communication model - social stream graph

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Atomic Model - Social Stream Object
𝑞1
𝑟3
𝑟2
𝑟1
𝑡1
Sender Receiver(s)

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Cleaning and normalization
Textual similarity
Structural similarity
Other similarities
Preprocessing and Similarities

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Similarities èn Detail
Tf-idf based Cosine Similarity
Bit Vectors
Normalized Tag mutualities

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Combination of Similarity Measures
Linear combination
• 𝑆𝑖𝑚 𝑆𝑖, 𝐶𝑟 = λ ∗ 𝑆𝑖𝑚 𝑠 𝑆𝑖, 𝐶𝑟 + 1 − 𝜆 ∗ 𝑆𝑖𝑚 𝑐(𝑆𝑖, 𝐶𝑟)
Generalized linear combination
• 𝑆𝑖𝑚 𝑆𝑖, 𝐶𝑟 = 𝜆1 ∗ 𝑆𝑖𝑚1(𝑆𝑖, 𝐶𝑟) + 𝜆2 ∗ 𝑆𝑖𝑚2 𝑆𝑖, 𝐶𝑟 + … +
𝜆 𝑛 ∗ 𝑆𝑖𝑚 𝑛 𝑆𝑖, 𝐶𝑟 , 𝑖
𝑛
𝜆𝑖 = 1

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Tools of Trade
NetworkX

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Jupyter
Design
Impl.Test
Partial
Deploy
Workflow… Or when Research meets Engineering

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Java Web Application
Security
Authentification Authorization
ORM
Databases
Interfacing with existing Technologies

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Control API Ressource API
Processing Statemanagement
PIRSA
Machine Learning as a Service (MLaaS)

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Security
Consumer
Service
Interfacing
Design
Loosly
coupled
Process
Iterations
within
iterations
Experience
Privacy
Usage
scope
Consumer
Challenges

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Thank you for your attention – Questions?

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“So Long, and Thanks for All the Fish”

30. Europe – Germany
SOBIS Software GmbH
Fraunhoferstraße 8
68309 Mannheim
Tel.: +49 621 1228 5600
Middle East – Dubai
SOBIS Software GmbH
Building 16, Dubai Internet City
P O Box 390742
Dubai UAE
Tel.: +971 55 763 7314
Middle East – Saudi Arabia
SOBIS K.S.A.
Wasel: 8974, Zip code: 12214
Unit 4 – Wadi Ath Thumamah
Riyadh, Kingdom of Saudi Arabia
Telefon: +966 11 216 1180
Asia – India
SOBIS Software (India) Pvt. Ltd.
#12, Varsav Plaza, Jayamahal Main Road
Bangalore – 560 046, India
Tel.: +91 80 2354 7953
www.sobis.com
info@sobis.com