ANALYTICS AS SERVICE
In the hyper-competitive world, every company wants to access the power of big data, but the cost of building and maintaining in house systems and solutions make it impractical and inefficient for most businesses. The cost of in-house development and a large data analysis team is difficult to justify even if the insight that the analysis could drive will make a big difference.
Analytics-as-a-service adds speed and flexibility to any organization’s analytics initiatives. Other than adding speed, it eases usability and user adoption across the organization that democratizes data-based decision making among people.
Datakrom Analytics as a service is a customized solution that takes data from multiple sources into and open lakehouse using cloud storage such as S3, Azure Data Lake or google storage and driven by open standards like Apache Iceberg, Parque files etc.
We build you a data platform that focuses on data democratization and self-service analytics so users can build complex machine learning models on the data to make your data more useful. We also build reports and dashboards to give you a 360 view of your organization.
Make better data-driven decisions
Give your data consumers faster access to the freshest and most complete data, all on their own terms.
Deliver reliable insights
Define a single, governed source of truth for business metrics that can be leveraged by any downstream application.
Streamline data engineering
Automate data management and make data workflows as powerful and intuitive as working with source code.
No Data is moved out of your cloud environment. Complete control over your data.
WHY DATAKROM ANALYTICS AS A SERVICE
No Upfront Cost.
No Hardware Cost.
No Vendor lockin as your data warehouse is not based on any specific vendor data warehouse tool.
No Software License Cost.
No need for data migration if you no longer need our services as the data is in your complete control.
No Compute and Query Cost.
Our hybrid data lake house architecture is scalable to any organization data size.
Fixed Predictable monthly cost.