We use Pentaho Business Analytics primarily as an ETL process to extract data, transform them, and load them into our warehouse where we store data.

I have Pentaho Business Analytics deployed locally and also on the cloud.

Pentaho Business Analytics is scalable to a point. It is pretty scalable.

The process CI/CD is possible to implement, a real CI/CD process.

It is quite nice, but there is a glass roof.

Depending on the specificity or the difficulty that you have in the process that you want to implement, you should change the tool to another solution, a more elastic one.

I work in business intelligence with Pentaho. I am associated with the marketing industry as well as the automotive industry. I help in marketing intelligence and work on insights for CEOs and heads of companies.

Pentaho is a BIS(business intelligence system) that is designed to help customers
make decisions based on their data type, size, workflow, use, and importance.

The "Pentaho Data Integration and Analytics" is software made and integrated with different software sets of tools to make it a good alternative BIS.

The customers can create a platform using "Pentaho Data Integration and Analytics" for data integration and analytics.

The Pentaho Data Integration and Analytics platform includes, extract, transform, and load (ETL), big data analytics, visualizations, dashboards, reporting, data mining, and predictive analytics.

Pentaho BIS can be used where an organization has a lot of big data storage systems already installed and needs to manage, visualize, and analyze that data.

It has a specific use case for unstructured data, such as documents, and needs to be able to search and analyze it.

This sometimes happens when customers buy one storage capacity, then upgrade or buy another one to get more capacity, and their organization is full of different types of storage/data. It is very hard to visualize and manage that data.

It's a data warehouse for finance and central bank reporting purposes, and an ETL tool in this environment.

The use case is for a General Insurance company headquartered in Japan. Data from legacy and active systems are integrated, and a standardized and clean copy of data is delivered for tracking KPIs, Loss Ratios, Claim Process Quality Review, and Customer 360 Portal using Pentaho, Tableau, R, and Qlikview.

Pentaho was used to build ETL pipelines for data warehouses (SSOT - Single source of Truth) and to prepare/distribute data for Tableau and Excel users.

Pentaho also had the ability to create Tableau data extracts for the purpose of developing report prototypes.

Currently I use this at Kaizentric Technologies to build data warehouse on Snowflake. 

I primarily use Pentaho Business Analytics to create ETL processes, monitoring processes, and hierarchies.

Our company provides telecom solutions. We have a BA team of approximately 40 employees.

We use Pentaho to analyze our customers' subscriber analytics. This includes subscriber account, prediction, and analysis by the server.

To manage the different data flows from various data sources(including both upstream and downstream) using visual representation. The usecase is to track various user activities from multiple sources within the enterprise.