Scalend’s Big Data Analytics solution helps users bring disparate data sets of any variety or volume together, and derives insights. This is helped by relevant connectors that ingest data from any data source (traditional mainframes to modern IoT systems), while the self-service transformation workbench helps cleanse and combine data and make data ready for analysis.
The workbench also provides features to join, filter, sort and introduce additional conditions and rules for data enrichment. This feeds into the Modeling engine which has over 700 inbuilt statistical functions and models. It is flexible and scalable with access to industry standard statistical functions. The agile platform also enables customizations like data restructuring, data mapping, manual rules definition, uploading custom models etc.
- 1/10th the cost of self-built solution
- Eliminate need for multiple tools
- Connect to multiple data sources instantly
- Highly secure platform with FPE algorithms for PII data
- Ready access to industry standard mathematical models and statistical functions
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