top of page
First Strip { resize} .jpg

We turn data
into business value

Backgroud .png

Our
Approach 01_Data Thinking

We analyze and describe
business with data.

Our data-driven consultancy approach helps companies overcome real business problems using new digital technologies. We identify the challenges and translate them via machine learning and mathematical methods to increase companies’ competitiveness in the market.

StatXplorer is a data science partner supporting companies in creating value using their data. We help teams build data-driven strategies and solutions, playing an active role in their implementation. We support executive leaders in understanding how concepts such as artificial intelligence, machine learning, or mathematical optimization impact their organization or industry and how they can benefit from the data science revolution.

moduł 02_edited.png

Expertise.

01_Designing
 

Data Science Ideation
and Strategy

Data Pipelines
and Engineering

Data Governance

Creating data-driven ideas and solutions through the methodology of interactive sessions with Clients. In-depth understanding and discovery of data take place through a series of workshops with our team of business analysts and data scientists.

Designing processes for moving data across various systems within the company. Assessing the most appropriate integration for customers to protect and structure data flows in data warehouses or data lakes.

Designing processes, roles, policies, and measures for data management and control in the company in accordance with the company’s goals and security standards. Effective and efficient use of high-quality information encoded in data to achieve business goals.

microsoft-sql-server-logo.png
Google_Cloud_Platform-Logo_edited.png
aws_logo.png
azure_logo.png
elastic-elasticsearch-logo_edited.png
oracle_database_logo_edited.png
cassandra-logo_edited.png
MongoDB-Logo_edited.png
PostgreSQL-Logo_edited.png
Approach
Expertise
moduł 03.png

Solutions

01_Designing

Data Science
Strategy

Data Discovery

Optimal ETL Processes for
Data Warehouses

An in-depth understanding of the business and data value through a series of workshops conducted with our team.

Data structuring, analysis, and interpretation. Validation and cleanup of structured or unstructured data, identifying correlations, and detecting anomalies via descriptive statistics and visualizations.

Defining most appropriate data integration patterns for raw and processed data. Defining and implementing an efficient data collection process to make strategic technology decisions (from on-premise to cloud storage).

Project example:
Map of data science initiatives with the identification of their business proceses.

Project example:
Development of a company-wide data access policy, completed with a cloud security audit and recommendations regarding security procedures.

Project example:
Company’s data unified and integrated into a Data Lake in the AWS cloud with PowerBI reporting system.

Solutions
Zespół
moduł 04_edited.png

Team

StatXplorer is a team of scientists, managers, and experts in data science research, development, and applications.

Badania & wiedza
moduł 05.png

Research & Knowledge


We are a team of scientists active in business, research, and didactics. Find out more about our publications, research, and reports. Check out our blog!

Zaufali nam
moduł 06.png

We've been trusted by.

8.png
7.png
6.png
5.png
3.png
2.png
4.png
1.png
Kontakt
bottom of page