2. Welcome at Data Insights!
ü We are a dynamic and fast-growing start-up company based in
Munich.
ü We support our international clients with their analytics, big data,
and data-driven product initiatives.
ü We are providing expertise in the areas of data engineering,
datascience, and business information management.
3. Our Focus is Big Data!
Gartner established the "3V" in connection
With Big Data: Big Data are available when this three
constitutive features are in place
Large amounts of data (Volume)
Versatile data formats (Variety)
Fast data (Velocity)
Volume
Variety
VelocityValidity
Value
Big Data
The approach is supplemented
Security of data quality (Validity)
Economic Value (Value)
4. Data Insights as Employer
We are always looking for talented people who are eager to progress
both personally and professionally.
ü 30 Days vacation
ü Continuous Training
ü Start-Up Culture
ü Performance- and market-based payment
ü Team events and big celebrations
ü Newest equipment
ü We can help with relocation
ü Leadership Opportunities
6. What we expect
We have a top-class team of data scientists, data engineers and
information management specialists, in a pleasant working environment.
ü Motivation and Passion
ü Eagerness to constantly progress
ü Presentation skills
ü Willingness to travel
ü Communication in both German and English
8. BUSINESS VALUE
BIG DATA -> DATA LAKE
Data Enrichment
ETL Offload
Data Warehouse
Data Lake 1.0
Data Lake 2.0
Data
Data Discovery
Data Archiving
Cyber Security
Customer Acquisition
Customer Retention
Predictive Maintenance
Marketing Effectiveness
Customer Lifetime Value
Demand Forecasting
Network Optimization
Customer 360
Risk Reduction
Loan Balancing
“Smart” Products
Pricing Optimization
Yield Optimization
Theft Reduction
Revenue Protection
Fraud Detection
Save Money
Make more Money
9. BIG DATA LANDSCAPE
Data Insights supports
this process to identify the
right blueprint for the customer
Big Data is a Jungle
Hundred of different open source and enterprise
products
Constantly evolving, every year new open source
and enterprise products are joining
Which one are future proof and should be used?
Not standardized
Developed on the basis of technologies from
Facebook and Google
10. DATA INSIGHTS SERVICES
User requirements
definition
Implementation
Testing
Training
Post-go-live support
Project management
User requirements
definition
Implementation
Testing
Training
Post-go-live support
Project management
System monitoring
Evolutionary maintenance
Upgrades and Patches
OperationTime & MaterialTurnkey projects
11. OUR EXPERTS
Data Engineers
Data ScientistIM Architects
Data Analyst Ab Initio Expert
Agile
Big Data
Business
Intelligence
Software
Development
Data Warehouse
Data Vault 2.0
Data Lake
Certified
Data Science
Machine Learning
Deep Learning
Python
R
Spark
Certified
Scrum Master
Product Owner
Developer
Certified
Big Data
Data Warehouse
ETL and ELT
Data Pipelines
Data Integration
Data Vault 2.0
Data Lake
Java & Python
Certified
Business
Intelligence
Data Vault 2.0
Data Steward
Reports and
Dashboards
Requirements
Testing
Certified
Business
Intelligence
ETL and ELT
Oracle DB
Data Lake
Data Warehouse
Data Vault 2.0
Certified