SlideShare a Scribd company logo
from
to big
data
discovery
through analytics services
solutions
Who we are
Marcin Kolenda – Chief Analytics
Analyst & Data Scientist. Business owner
of products & services. Business Development
Manager. Project manager. Problems solver.
20 years of experience: T-Mobile, Polkomtel, Coats.
Kamil Ciukszo – CEO
Sales, business development
& strategy planning manager. Consultant.
Corporate innovator & angel investor.
20 years of experience: Cisco, Netia, Sprint, Vector.
databases,
MPP & data
lakes
software
development
BI, data
visualization
advanced
analytics
business
consulting
data science
& machine
learning
PHP, Drupal,
Angular,
Symphony,
Ruby, Ruby on
Rails
SQL, R, Python
for analytics
Vertica, SQL
Server, MySQL,
PostgreSQL, No
SQL, Hadoop,
Kafka
Power Bi,
Tableau
team
skills
We turn data into value
we explore data
• statistical methods
• machine learning
• anomaly detection
• quantitative analysis
• classification
• clustering
design and implementation of MVP’s
and than scalable production solutions
• access to any data sources internal & external
• IT, technology expertise
• proven, best in class technologies
• partnership with top technology partners:
Vertica, Microsoft, HPE, Cisco, SAP
business value
creation
• direction of analyses
• business experience
in various verticals
• consulting experience
to enable customer
to use data
• technology as a tool
for business value
We turn data into value
we explore data
• statistical methods
• machine learning
• anomaly detection
• quantitative analysis
• classification
• clustering
we design and implement prototypes
and scalable production solutions
• access to any data sources internal & external
• IT, technology expertise
• proven, best in class technologies
• partnership with top technology partners:
Vertica, Microsoft, HPE, Cisco, SAP
we enable
business value
creation
• direction of analyses
• business experience
in various verticals
• consulting experience
to enable customer
to use data
• technology as a tool
for business value
Example of our work - PKP Energy
case: fraud and
anomaly detection
of workforce
• based on SAP HR
data and workforce
reporting system
• using GPS tracking
system what we have done
• business consulting: define and describe anomalies
• access data, understand data model and process
• develop algorithms to detect anomalies and frauds
• report data quality issues
• advice improvement areas
business value
• knowledge of the actual quality
of data
• improve and automate fraud
detection internal audit process
increased productivity
of field workforce
Example of our work – Lab4Motion
what we have done
• design and build data model
• design and implement IT solution for real-time data
analysts for TB of data
• create algorithms to measure KPI’s
• develop predictive algorithms
business value
• scalable multitenant platform
• reliable data model
know analog world of POS and
Foodcourts as digital WEB
OBJECTIVE
OBSERVATION
Video analysis
PRIVACY
REAL
TIME
ALTERTS
PREDICTIONS
KEY
FEATURES
service time
entry counters
product, marketing zones
queue
directions, paths
case: analysis
of customer paths
• based on video from
ceiling cameras
• calculate key measures
• design efficient data
model and scalable IT
architecture
Our iterative cooperation model
problem definition
à
business question
minimum valuable
business problem
à
access to data
data analysis
à
initial outcomes and
answers
MVP
à
prototype,
proof of concept
outcome and value
analyses
defining next step
of engagement for
production solution
• we work in days and weeks
not months and quarters
• we let out clients take
reasonable investment decisions
in big data space by answering
business questions before
implementing production
systems
• our clients gets ready scalable
solutions witch solves their real
business problems not
technology issues
Core data science skills
math
statistics
• statistical modeling
• machine learning
• experiment design
• supervised learning:
decision trees, random
forest, logistic
regression
•unsupervised learning:
clustering,
dimensionality
reduction
•optimization: gradient
descent and variants
programming
database
• Python, R, PHP (Drupal,
Symfony, Zend), C, Ruby,
JavaScript
(AngularJS, jQuery,
Node.js)
• database SQL
and NoSQL (structured /
semi-structured data)
• relational algebra
• parallel database and
query processing
• MapReduce concepts
• Hadoop , Hive, Vertica,
SAP HANA, MongoDB,
• XaaS experience
domain
knowledge
• understands business
dependences and value
chains
• passionate about
business
• hacker mindset
• problem solver
• strategic thinking
• experienced in business
areas
soft
skills
• proactive, creative,
collaborative
• story telling skills
• translate data driven
insights into decision
• visual art design
• able to engage with
senior management
intuition
inquisitiveness
• intuition to choose right
tool and method to
solve the problem
• ability to assess
business consequences
of data insights
• a tireless seeker
Core data science competences
math
statistics
programming
database
domain
knowledge
soft
skills
intuition
inquisitiveness
competences agile team
Areas of cooperation
professional
services
data discovery
analytics & data science
prototyping
design and implementation of solutions
resell & data
brokerage
solutions, licenses
data from data providers
open for
other
business
models
Managed Service, PaaS
product development
new ideas
from
to big
data
discovery
through analytics services
solutions

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Alterdata.io company profile

  • 2. Who we are Marcin Kolenda – Chief Analytics Analyst & Data Scientist. Business owner of products & services. Business Development Manager. Project manager. Problems solver. 20 years of experience: T-Mobile, Polkomtel, Coats. Kamil Ciukszo – CEO Sales, business development & strategy planning manager. Consultant. Corporate innovator & angel investor. 20 years of experience: Cisco, Netia, Sprint, Vector. databases, MPP & data lakes software development BI, data visualization advanced analytics business consulting data science & machine learning PHP, Drupal, Angular, Symphony, Ruby, Ruby on Rails SQL, R, Python for analytics Vertica, SQL Server, MySQL, PostgreSQL, No SQL, Hadoop, Kafka Power Bi, Tableau team skills
  • 3. We turn data into value we explore data • statistical methods • machine learning • anomaly detection • quantitative analysis • classification • clustering design and implementation of MVP’s and than scalable production solutions • access to any data sources internal & external • IT, technology expertise • proven, best in class technologies • partnership with top technology partners: Vertica, Microsoft, HPE, Cisco, SAP business value creation • direction of analyses • business experience in various verticals • consulting experience to enable customer to use data • technology as a tool for business value
  • 4. We turn data into value we explore data • statistical methods • machine learning • anomaly detection • quantitative analysis • classification • clustering we design and implement prototypes and scalable production solutions • access to any data sources internal & external • IT, technology expertise • proven, best in class technologies • partnership with top technology partners: Vertica, Microsoft, HPE, Cisco, SAP we enable business value creation • direction of analyses • business experience in various verticals • consulting experience to enable customer to use data • technology as a tool for business value
  • 5. Example of our work - PKP Energy case: fraud and anomaly detection of workforce • based on SAP HR data and workforce reporting system • using GPS tracking system what we have done • business consulting: define and describe anomalies • access data, understand data model and process • develop algorithms to detect anomalies and frauds • report data quality issues • advice improvement areas business value • knowledge of the actual quality of data • improve and automate fraud detection internal audit process increased productivity of field workforce
  • 6. Example of our work – Lab4Motion what we have done • design and build data model • design and implement IT solution for real-time data analysts for TB of data • create algorithms to measure KPI’s • develop predictive algorithms business value • scalable multitenant platform • reliable data model know analog world of POS and Foodcourts as digital WEB OBJECTIVE OBSERVATION Video analysis PRIVACY REAL TIME ALTERTS PREDICTIONS KEY FEATURES service time entry counters product, marketing zones queue directions, paths case: analysis of customer paths • based on video from ceiling cameras • calculate key measures • design efficient data model and scalable IT architecture
  • 7. Our iterative cooperation model problem definition à business question minimum valuable business problem à access to data data analysis à initial outcomes and answers MVP à prototype, proof of concept outcome and value analyses defining next step of engagement for production solution • we work in days and weeks not months and quarters • we let out clients take reasonable investment decisions in big data space by answering business questions before implementing production systems • our clients gets ready scalable solutions witch solves their real business problems not technology issues
  • 8. Core data science skills math statistics • statistical modeling • machine learning • experiment design • supervised learning: decision trees, random forest, logistic regression •unsupervised learning: clustering, dimensionality reduction •optimization: gradient descent and variants programming database • Python, R, PHP (Drupal, Symfony, Zend), C, Ruby, JavaScript (AngularJS, jQuery, Node.js) • database SQL and NoSQL (structured / semi-structured data) • relational algebra • parallel database and query processing • MapReduce concepts • Hadoop , Hive, Vertica, SAP HANA, MongoDB, • XaaS experience domain knowledge • understands business dependences and value chains • passionate about business • hacker mindset • problem solver • strategic thinking • experienced in business areas soft skills • proactive, creative, collaborative • story telling skills • translate data driven insights into decision • visual art design • able to engage with senior management intuition inquisitiveness • intuition to choose right tool and method to solve the problem • ability to assess business consequences of data insights • a tireless seeker
  • 9. Core data science competences math statistics programming database domain knowledge soft skills intuition inquisitiveness competences agile team
  • 10. Areas of cooperation professional services data discovery analytics & data science prototyping design and implementation of solutions resell & data brokerage solutions, licenses data from data providers open for other business models Managed Service, PaaS product development new ideas