How do you trust a data partner? By looking at their data engineering, science, and analysis capabilities they have.
We can use Snowflake, Databricks, or Fabric to manage your full lifecycle of data.
We can also build using open source tools like Airflow
We are comfortable working in any ERP System, such as Quickbuild, Dynamics, SAP, Epicor, Acumatica, NetSuite, Odoo, Zoho, and much more!
We also have some familiarity with SEC Data, Public API's, Google, raw PDF files, and much more.
There are many options of data visualization tools, including free and paid. We've worked inside AWS Quicksight, Power BI, Tableau, Looker / Looker Studio, Looker, Apache Superset, Qlik, FojiSoft, and much more.
In the data world, two programming languages reign supreme and we have decades of experience working with both: SQL and Python
If you need some programming in R, Scala, or others, let us know. Depending on the complexity, we may or may not be able to handle it.
We're comfortable in any cloud server environment. The three most common, and ones where we have the most experience are AWS (Preferred), Google Cloud, and Azure. We can start from scratch or work inside your existing environment. Or, if you don't use a cloud server and just use SaaS products, that works too!
We typically build our Data Pipelines in Python and deploy them through a cloud computing environment. This puts you in control of your destiny.
We can also use software like Snowflake, Databricks, or dedicated ETL tools like Fivetran.
There are dozens of different databases available. The most common are MySQL and PostgreSQL, which we're very comfortable with. We also use Snowflake, Databricks, SQL Server, and much more.
We also have some familiarity with event-driven / NoSQL databases (such as Mongo or Scylla), and we'd love to help you.
AI is taking the world by storm and we have multiple projects utilizing AI to forecast potential outcomes. We can incorporate AI into your data analysis.