and we’ll be happy to assist you.
Data Science & Analytics
Developing an efficient and effective data science solution requires combining several technologies:
- For data storage and management we can use Hadoop, SQL Server, MySQL or NoSQL databases to name a few.
- Data modeling is done in Python or R and we apply different algorithms and techniques, such as linear regression, decision trees, K-means clustering, neural networks, predictive analytics, machine learning, natural language processing, etc.
- Data visualization is the final part where the underlying work is rendered visually. Technologies we use include Python libraries (Bokeh, Plotly, Matplotlib), Knime and Tableau.
SQL Server Data Warehousing
Our long time experience with SQL Server platform combined with the data analytics knowledge enable us to offer quick and inexpensive data warehousing solutions.
Depending on your needs we can install and configure Splunk Enterprise or Light in your premises or we can do everything on the cloud using Splunk Cloud.
Pragmatic Analytics team combines experience and knowledge with youthness and enthusiasm.
“Dripping water hollows out stone, not through force but through persistence”
“Don’t just measure which clicks generate orders, but adjust the strategy to reflect the interest of everyone”