Valiotti Analytics
www.valiotti.comWe build effective and robust analytics stacks. If you need help with modern data-stack creation, data mining and cleaning, data analysis, statistics, or enterprise data management, we're at your service. ✓ We support dozens of clients: Aircall, Worldcoin, Wing, Airpush, Airnow, Measured, Twinero, Mentorshow & more. ✓ We offer ad hoc and turnkey solutions for analytical challenges, from data-warehouse design and development to building and automating reports, marts, and predictive models. ✓ The state-of-the-art quality of our ETL (extract, transform, load) solutions and an extensive array of programming languages we employ (including R, Python, and SQL) are demonstrated in our case studies. What we can do for you: • Automating, uploading, and handling your data • Designing and optimizing data supply chains, data warehouses, and data lakes • Creating insightful data dashboards and visualizations • Testing business hypotheses through statistical analysis • Leveraging machine learning to extract insights from your data The data stack we work with: Server technologies: AWS Glue, Python, Apache Airflow, Jupyter Notebook, Lab, Kafka, Docker, dbt, AWS, Google Cloud, Snowflake, Apache Spark. Databases: ClickHouse, Google Big Query, Amazon Redshift, PostgreSQL, MySQL, Vertica, Snowflake, Cloudera Impala, MSSQL, MySQL. BI tools (data management platforms): Looker, Tableau, Redash, Superset, Metabase, Power BI, Plotly, Dash, Oracle BI, Mode. Our expertise is in: ✓ Analytics Audit & Consulting ✓ DBA & DevOps ✓ Data Architecture ✓ Data & Analytics Engineering ✓ Advanced Analytics (ML, predictive models) ✓ Modern Data Stack Implementation We’ve cooperated with well-established Fortune 500 businesses, emerging cloud-based SMEs and startups, and mobile and digital companies (EdTech, FinTech, GameDev, mobile apps). We've worked with big data and artificial intelligence and are looking forward to becoming your favorite data nerds. Check out our website for our blog posts!
Read moreWe build effective and robust analytics stacks. If you need help with modern data-stack creation, data mining and cleaning, data analysis, statistics, or enterprise data management, we're at your service. ✓ We support dozens of clients: Aircall, Worldcoin, Wing, Airpush, Airnow, Measured, Twinero, Mentorshow & more. ✓ We offer ad hoc and turnkey solutions for analytical challenges, from data-warehouse design and development to building and automating reports, marts, and predictive models. ✓ The state-of-the-art quality of our ETL (extract, transform, load) solutions and an extensive array of programming languages we employ (including R, Python, and SQL) are demonstrated in our case studies. What we can do for you: • Automating, uploading, and handling your data • Designing and optimizing data supply chains, data warehouses, and data lakes • Creating insightful data dashboards and visualizations • Testing business hypotheses through statistical analysis • Leveraging machine learning to extract insights from your data The data stack we work with: Server technologies: AWS Glue, Python, Apache Airflow, Jupyter Notebook, Lab, Kafka, Docker, dbt, AWS, Google Cloud, Snowflake, Apache Spark. Databases: ClickHouse, Google Big Query, Amazon Redshift, PostgreSQL, MySQL, Vertica, Snowflake, Cloudera Impala, MSSQL, MySQL. BI tools (data management platforms): Looker, Tableau, Redash, Superset, Metabase, Power BI, Plotly, Dash, Oracle BI, Mode. Our expertise is in: ✓ Analytics Audit & Consulting ✓ DBA & DevOps ✓ Data Architecture ✓ Data & Analytics Engineering ✓ Advanced Analytics (ML, predictive models) ✓ Modern Data Stack Implementation We’ve cooperated with well-established Fortune 500 businesses, emerging cloud-based SMEs and startups, and mobile and digital companies (EdTech, FinTech, GameDev, mobile apps). We've worked with big data and artificial intelligence and are looking forward to becoming your favorite data nerds. Check out our website for our blog posts!
Read moreCountry
City (Headquarters)
Limassol
Industry
Employees
11-50
Founded
2017
Social
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