Data Quality Solutions, Data Migration Solutions,
Business & Mobile Applications

Faster, secure & high quality data migration!

Data Spectra - How it works?

Import Data
Merge Data Sets
Rebuild Missing Data
Standardise & Normalize Data
De-Duplicate Data
Verify & Enrich Data
Export Data

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The task of managing data, keeping on top of consistency and accuracy are two underlying jobs you have to deal with everyday data. Once the data cleansing process is completed, you can confidently move forward to use the data for deep, operational insights now that your data is accurate and reliable.

Extract Source Data

Connect to multiple data source and consolidate data for cleansing

Data Cleansing

Validation, De-duplication, Rebuild missing data

Data Integrity

Control access to data, Standardize & Normalize Data

Data Migration

SAP 4 / Hana, Oracle, MS Sql Server, MySQL, PostgreSQL etc

Data Quality Strategy

Your Data Quality Strategy Must See Beyond Master Data

Over time, the hub data can lose its relevancy

Are customers active?
Are there any Duplicate Customers?
How many active credit lines do they have?
Are they abusing terms, discounts and sign-on offers?
Are you using correct terms?
Are vendors active?
Are they delivering on-time on-quality?
Is Material still active?
How is it affecting the Working Capital?

Data Migration Architecture

Data Cleansing & Migration Process

  • Rule based automatic transformation
  • Missing data construction
  • Manual data cleansing
  • Data stewards can work in parallel
  • Role based data visibility
  • Review and approval process
  • Audit log
  • Reporting App: Management can track and monitor
Data Cleansing and Migration Process

Data Spectra

Validate & Cleanse Data

Experienced professionals are involved in cleansing, managing, fixing incorrect & disconnected data.

Standardizing the data process ensures & reduces the risk of duplication.

Validate the accuracy of data during cleansing in real-time. Data Spectra allows analyzing raw data in bulk, automate the process for better quality testing & accuracy of final data.

Data is a valuable asset that must be managed. As information sources are growing more numerous & diverse with focus on regulatory compliance initiatives, the need to integrate, access & reuse information from these disparate sources consistently & trustfully is becoming critical.

Data Quality Control

Data quality is an essential characteristic that determines the reliability of decision-making. After standardization & validation, the cleaned & high quality compiled data provides a more complete information for business intelligence, analytics & continue to deliver business value.

Data Spectra's Data quality module ensures that all business goals across a business-ready data pipeline are met. By implementing a data quality solution from Data Spectra, any organization can enhance data integrity to get the most from the informational assets.

Data integrity refers to the accuracy and consistency (validity) of data over its lifecycle. Compromised data, is of little use to enterprises, not to mention the dangers presented by sensitive data loss. Data Spectra's data quality control module ensures data integrity.

Data Migration

Extract / Transform & Load (ETL) process involves
1) Selecting
2) Preparing
3) Extracting &
4) Transforming Data;
permanently transferring it from any old legacy systems to any new system such as SAP S/4 Hanna, Oracle Apps & other ERP solutions.

Data Spectra's Data Migration includes data profiling, data cleansing, data validation, and the ongoing data quality assurance process in the target system. This is necessary when moving data from a legacy application to an upgraded version of the same application or an entirely different application with a new structure.

Contact Us

Established in 2012 we have offices in:

TavasTech Inc.


52 Nashua at, Suite 4

Milford, NH 03054

TavasTech Pvt. Ltd.


KLRA 85 B, Jagathy

Thiruvananthapuram - 695014, Kerala, India



11 Mary Ann Drive Glenfield

New South Wales, Sydney 2167, Australia

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