Austin

1601 E. 5th St. #109

Austin, Texas 78702

United States

Coimbatore

Module 002/2, Ground Floor, Tidel Park

Elcosez, Aerodome Post

Coimbatore, 641014 India

Coonoor

138G Grays Hill

Opp. BSNL GM Office, Sims Park

Coonoor, Tamil Nadu 643101 India

Capabilities

Capabilities

HOW WE WORK

Our focused expertise means that our work is better, cheaper, and faster than the competition.

Information Evolution offers services to help customers optimize their data supply chains—from the acquisition of data to its consolidation with other data sources, its verification and enhancement, and its eventual delivery to the customer in a way that can be easily ingested. IEI can provide end-to-end solutions or act as a ‘role-player’ to handle specificindividual stages in the supply chain. 

Normalization and standardization of the data is accomplished via custom researcher applications that validate data and enforce the client format rules.

Key Elements of our Data Supply Chain Solutions

process design

Process
Design

Custom end-to-end solutions from data acquisition through enhancement and validation to delivery.

telephone_surverys

Telephone
Surveys

Still the best way to verify job titles/phone numbers and to gather very hard-to-find B-to-B data.

researchers

Researcher
Interfaces

We design custom applications for research projects that ensure high-quality output at scale.

change monotering

Change
Monitoring

Detecting changes to primary sources in real-time is essential to defensible data provenance.

data mapping

Data
Mapping

Complex data overlays and fuzzy matching applications allow us to enhance and add depth to B-to-B databases.

croudsourcing

Managed
Crowdsourcing

Blindingly fast processing of high-volume, low-complexity tasks without sacrificing quality.

api

Feed/API
Design/Deliver

Anything-in to anything-out mechanisms allow maximum flexibility to meet customer requirements.

Components of a robust data supply chain:

Retrieval of source data via extraction

The ROI on IEI Solutions

Ability
to Scale

Production
Cost Reduction

Improved
End-User Experience

Lower
Overhead

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Have a data challenge? IEI has probably seen it, analyzed it and solved it before.

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