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Data Products Platform for Advanced Analytics
Faster Data to Decisions: Go from raw data to a production-ready data product solving a wide variety of decision-making challenges, 5X faster!
Reliable and Contextually Rich Data: Focus on business critical tasks, while Enrich automatically ensures availability of reliable and trustworthy data for advanced analytics use cases
Easier Data Consumption: Reduce your dependence on data science, DevOps and ML engineering teams with customized data-driven workflows
Operationalized Data in Weeks: Build an operational data analytics product within days, with Enrich’s automated Feature Engineering capabilities that provide you access to fit-for-purpose datasets
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Customer Speak
Vidyotham Reddi
Director, Growth Analytics
Mars, Incorporated
"Working with large, disparate data sets that are captured at different points in time is never easy, especially when it’s for business-critical tasks. With Scribble Data, that’s no longer a challenge for us as it gives us access to reliable data with a high degree of auditability. It also significantly reduces our reliance on the central engineering team – so our bandwidth is freed to focus on solving business problems and use cases instead of infrastructural issues."
Akbar Hussain
Co-founder & General
Counsel, Terrapay
"Scribble Data’s engineering platform allowed us to translate our transaction overwatch ambitions into a self-improving data product. As a transaction-size-agnostic platform, our ability to foster financial inclusion rests directly on our ability to scale compliance outcomes. TIP pinpoints AML/CTF analysis., allowing us to spin up widgets for datasets, thereby making previously unsolvable problems solvable."
Dileep Raman
Co-founder and Chief of
Healthcare, Cloudphysician
"Scribble Data’s Enrich platform allowed us to rapidly build pipelines to transform our data into patient time-series indicator datasets and to predict adverse outcome events. Enrich’s data-focused features like schedulable versioned pipelines, intermediate data frame checkpointing, rich media knowledge base and lineage tracking meant that we went from raw data to daily updated feature sets and models that we could trust in 4 weeks."
Peter Swaniker
CTO, The Room
"We found that the Scribble Data team understood our needs and pace as a fast-growing company, and were able to slot their Enrich feature store into our infra seamlessly. As a result, we were able to start ingesting data from our various sources, and delivering first cut models, with a lean team, much faster than we thought possible."