High Quality Data Delivered

Collaborative Apps to prepare, transform & qualify data at scale:


Why us?

We are experts in Data Manufacturing:

Data Wrangling
Experts

Deep functional expertise and experience of serving major Data Manufacturing shops

REUSABLE &
SHAREABLE APPS

Data Processing Apps, Bridged Apps, Transformation Apps - all are reusable, modular and shareable on cloud.

Proprietary Home
Grown tool set

Own proprietary tools build apps for harmonization, qualification and curation of data


Data Manufacturing/
Preparation

Highly scalable Data Manufacturing solutions built using best of breed technologies and delivered on a collaborative cloud. Our solutions support multi-source, unstandardized unstructured or inconsistent data

  • Reduce Pre-Analysis Time
  • Data prep apps tailored to analytical needs of the users
  • Support for multiple data integrations with Custom APIs / Connectors / Listeners
  • Custom Dashboard offered with Analytic widgets
  • Precision Outcomes & Reporting with searchability across the data


Data Transformations

Complex transformations, Element to element Mapping, Rules automation, Data Standardization, Enrichment made simpler with powerful tools which are ever scalable and accessible on cloud.

  • Ability to transform comples large volumes of Data
  • Shareable, reusable processes to help users
  • Easily transformation abilities to non-technical users
  • Multiple formats consistent with destination system
  • Accelerated outcomes with Visual mapper tools


Data Qualification

Data cleaning solutions with workflows that validate, modify, rectify against a set of custom built rules dictionary to ensure that data is correct, complete and compliant as per the organization’s need.

  • Data Validation Rules automated & integrated in a collaborative workflow with user roles.
  • Manual control with access to Meta data driven UI to qualify data
  • Simplified data enriching process with revieval, approval
  • Data quality checks, Custom outcomes and reports


What our clients say?

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