Directory · AM
Data Infrastructure and Analytics in Armenia
A register of firms and the professionals working at them in the Data Infrastructure and Analytics sector based in Armenia. Browse the public index, then filter or export on Kipplo.
Companies
5 on file
Greendata
GreenData is a leading data analytics and consulting firm dedicated to helping large businesses harness the power of their data. We specialize in data and artificial intelligence, engineering, and automation. Our services include Tableau, SAP Analytics Cloud, Snowflake, Databricks, Microsoft Azure Data Factory, UiPath, and Power Automate. We focus on delivering tailored solutions that drive measurable results and sustainable growth. Our mission is simple: to empower businesses with state-of-the-art IT solutions that pave the way for substantial and sustainable growth.
11 to 50 staff
Datark
We are small group of ladies, who are very passionate about the data analytics. We shifted our profiles from different backgrounds, such as tourism, finance, social sciences, business, HR. We take your data, clean it and give back to you in a form of easy-to-use and easy-to understand dashboards or executive reports, be it in Power BI, Tableau or Excel (depends which visualization you prefer in your company) or in Power Point, if you need it in slides to present to the management.
1 to 10 staff
Deputydata
What we offer Research - Persona development and segment research - Use-case research and customer needs research (JTBD framework and others)- Market research and competitor analysis Analytical DWH design and development - Audit of your current analytical data infrastructure - Build ETLs and develop any integration you may need - Develop custom tailored analytical warehouse of any complexity to bring your business a single source of truth Reporting/dashboarding - Develop analytical data architecture - Implement any BI solution - Create automated business reporting with product and growth metrics, define calculation methodologies and visualize your data (marketing funnels, product health metrics, etc.) Testing hypotheses - A/B or multivariate testing to make sure you are moving the right direction - Set up processes to generate, prioritize and test hypotheses with the minimum effort Product & data analytics - Define key metrics for measuring growth and determine attributes that contribute to profitability - Get and analyze data to answer critical questions for product growth - Create automated business reporting with product and growth metrics, define calculation methodologies and visualize your data (marketing funnels, product health metrics, etc.)
1 to 10 staff
Dateno
Dateno is a dataset search engine. It’s intended to help researchers, analysts, developers, journalists and everyone else to find relevant data.
1 to 10 staff
Armen Hovhannisyan Ie
The list of services provided by categories: 1. Database development. Development of database objects to serve OLTP/OLAP workloads (tables, views, materialized views, indexes, procedures/functions, etc.). RDBMS covered: MS SQL Server, PostgreSQL, Oracle, MySQL. Database administration. Database storage management and optimization. Security. Performance tuning considering workload types. Disaster Recovery. Query execution plan analysis and optimization. Index analysis and optimization. Table/Index partitioning. Compression and archiving. Replication. High Availability. ETL. Data extract/transformation/load pipelines development and optimization. Tools used: SSIS, Talend Open Studio, Pentaho BI with Saiku analytics, Azure Data Factory, user defined stored procedures and jobs. Data warehouse design and management. Star and Snowflake schema design and synchronization with ETL workload. SQL query development to cover reporting needs. Data architecture. Data integration, transformation and modeling. Serving large amounts of structured & semi-structured data. Analyze existing process logic. Implement best practices in data architecture, including security, governance, compliance and performance optimization. Optimize the data storage across Delta Lake for data management. Develop and maintain scalable data pipelines. Collaborate with analytics and business to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making.
1 to 10 staff
