Business & Operations Technology Solutions

To assist do more with your existing data team and save time/effort – saving on costs and help scale; we bring a data engineering / lifecycle-management platform.

The end-to-end data lifecycle management platform drives cost savings by reducing redundancies and optimizing data workflows, while offering scalability to handle growing data needs seamlessly.

By automating processes and centralizing data operations, it boosts efficiency and enhances productivity, empowering teams to focus on delivering actionable insights faster.

Benefits:

No vendor lock-ins
Ready in about a month
70% time, money saving
Automated data processes
Faster data pipelines
Frictionless innovation by Data Scientist via managed MLOPs
Faster deployment

Interesting aspects:

No-code data engineering (/data lifecycle management) platform – save on coding efforts/time.
Lineage - Dashboard for data lineage. We have table level lineage and connection level lineage.
Reconciliations - if done manually and errors-prone, without good observability of where it fails / how it fails, consuming cloud credits & costs; then offload ETL pipeline to our no code environment.
If data-source has problem of API rate limit, e.g., Salesforce; we have connector with self-healing.
This does not store any data, it works on Metadata.
Deploy on-premises or on cloud.

Helps manage 360° data lifecycles seamlessly:

Connect all data sources - by freeing them from vendor lock-ins
Kickstart data lakehouse - infrastructure in just 1 month
Automate workflows - with one-click scheduling and zero coding
Visualize data on the go - using any BI tool
Develop data models in-house with MLOPs — faster and without coding

Data infrastructure set up:

Data Integration: Data can be ingested into the platform using a wide range of pre-built connectors.
Data Pipeline: Data pipelines can be configured using a no-code interface and can be run manually or at predefined schedules and data can be processed in batch as well as in real-time.
Data Operations: The operations on data can be executed using predefined operators like join, sort, filters, custom formulas, etc. Custom scripts can also be brought in using the code engine operator to build custom data pipelines as well.
Data Map: The platform supports data in any form, structured or unstructured, batch or real-time. Platform’s intelligent algorithms understand the data, the schema, relations between them and provides an interactive graph showing how data sources are mapped to each other.
Data Discovery – Search: The search feature helps find any value across all data sources. No matter how many folders, files, databases, tables or collections, the search retrieves results in sub-second response times giving details on where exactly in the data infrastructure the search term exists.
Data Discovery – Metadata: Metadata of the data sources are extracted at the time of connection and statistical insights on all data sources in terms of row count, data types, distribution, mean, median and standard deviation are provided.
You can incorporate a master data management solution to capture, store, maintain, govern and then publish master data. This platform can be deployed on any cloud or on-premise infrastructure.

Data Engineering (/ Data Lifecycle Management) platform

View the platform details at:

www.bo-ts.com/products/data-analytics-platform