Drawing on our experience with all major data technologies, we excel in providing data solutions that are unique to each customer. This puts your data to work, enabling you to gain valuable insights and make confident, data-driven decisions.
AWS for BI
We will design and build an end-to-end analytics backend structure for your Business Intelligence layer using AWS (Amazon Web Services). We will create a pathway for your structured and semi-structured data from different sources to be easily processed through a user-friendly dashboard, app or interface. Our services include:
SnowFlake for BI
Snowflake marries the best of old and new database technology. This merged system makes it particularly well-suited to meet the needs for quick processing and extraction of data, sharing of both the raw data and conclusions, as well as storage and cross-indexing of the large data volumes demanded by modern BI systems. Our services include:
MuleSoft Implementation
With MuleSoft, your data integration issues can be alleviated. MuleSoft helps integrate systems, making them communicate efficiently through automated workflows. Our services include:
Tableau Extension Development
Tableau extensions are a great way to add new features to your company’s unique Tableau structured setup. Let’s build something exceptional. Our services include:
Custom API Connectors
Our engineering department is well-trained with years of experience in developing and maintaining data connectors and business critical pipelines of any scale. No matter which BI tool you prefer, we have you covered. Our services include:
Salesforce Marketplace Apps
Looking to host an application on Salesforce AppExchange or maybe Datorama’s Marketing Intelligence Marketplace? We are here to support you. Our services include:
Custom Visuals for your BI
The standard visuals of a BI platform might not be enough. We can build unique to your business from scratch using JavaScript libraries, wrapped with CSS/HTML to bring your data to life. Our services include:
Salesforce Heroku
With your Salesforce data in Heroku Postgres, you can easily combine the capabilities of the Lightning Platform. Our services include:
Data engineering involves building and maintaining systems to collect, store, and process large amounts of data. Data engineers design data pipelines, integrate data from multiple sources, and ensure scalability, reliability, and efficiency.
Get startedData pipelines move data from sources (e.g., events, transactions, databases) to destinations (such as data warehouses). These pipelines collect, transform, and store data for further analysis and business insights.
Get startedETL vs. ELT: What’s the difference?
What tools are used in Data Engineering?
Common tools include Snowflake, Redshift (AWS), Big Query (GCP), Databricks, Synapse (Azure), Apache Spark, Airflow, dbt, Tableau, and Looker.
Get startedWhat are some best practices in Data Engineering?
10+
Years of Salesforce Intelligence Experience
700+
Projects delivered on Salesforce products
140+
Salesforce experts ready to help you
85+
Salesforce Certifications
“The team had knowledge and familiarity with the data streams, tools which made the last minute nature of some requests easy for them to manage. The Decision Foundry team was extremely organized from start to finish and ensured nothing fell thru the cracks. I was extremely impressed with our final output, which exceeded my expectations.”
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