We work with the best experts to:
Look at your business goals and strategy
Assess the current situation
Define an ideal future state together
Collaborate to accomplish that vision
Unlocking the Power of
Business Intelligence & Data Science
In today's data-driven world, relying solely on intuition and experience for decision-making is no longer enough.
Companies that harness the power of data gain a clear competitive edge.
With an overwhelming amount of information available, navigating this complexity requires the right expertise.
That's what we offer: let us guide you through it and become your light in the dark.
We collaborate with top-tier professionals in data science, data engineering, data analytics, and business intelligence to provide you with the expertise needed to turn your goals into reality; whether on a permanent, temporary, or freelance basis.
How we can help you
Data Analysis
Our team of Data Analysts excels in gathering, organizing, and interpreting statistical data using state-of-the-art analysis tools.
We process complex datasets to extract meaningful insights that not only reveal underlying patterns but also highlight opportunities and challenges.
These critical insights enable our clients to make well-informed, strategic business decisions, driving growth and efficiency in their operations.
Skillset: SQL, NO SQL, Data cleaning, Tableau, PowerBI, Excel, Python, ...
Data Engineering
Our data engineers are experts in preparing and managing large-scale data infrastructures that support comprehensive analytics performed by data analysts and scientists.
They are responsible for designing robust data systems, building scalable architectures, modeling data, integrating diverse data sources via ETL pipelines, ensuring continuous integration and delivery, as well as ensuring continuous data availability and integrity.
Skillset: Python, GCP, AWS, Azure, Cloudera, SQL Server, ETL, Spark, Kafka, Data Vault, Kimball, ...
Data Science
Our data scientists analyze and interpret raw data into business solutions using machine learning and algorithms.
Data science looks at the probability of future events and conditions. Predictive analysis uses historical data to forecast business trends, customer behavior, and product success.
It seeks to answer questions about what will happen in the future. Prescriptive analysis seeks to find a solution to a specific business problem.
Skillset: Python, R, Machine Learning, SQL, noSQL, NLP, Hadoop, SAS, Spark, ...
Data Management
Our services offer comprehensive data management and governance, ensuring your organization's data is not only a valuable resource but also meticulously managed and governed.
We focus on enhancing data quality, ensuring compliance, and creating a unified architecture to facilitate efficient data utilization and strategic analysis.
This approach supports superior decision-making and operational efficiency across all levels of your organization.
Skillset: Data Governance, Data Quality, Master Data Management, Data Architecture, ...
Way of working
1
Business goals & strategy
Identifying business goals & objectives aligned to data
2
Current state assessment
Understanding current maturity & environment
3
Definition of future state
Defining the right data profile
4
Implementation
Matching the right skillset & change management
5
Adjust
Follow-up & evaluating realization of business goals
Which roles can we support?
Data as a Catalyst
Effective data management is not just an IT obligation; it's a business imperative. By mastering the art of data stewardship, companies unlock the full potential of their data assets, transforming information into innovation and driving profitability.
