Enterprises receive voluminous data running into several billions and even trillions of bytes. While they can help businesses with developing focused strategies, they remain underutilised due to their raw and varying formats they are available in that needs cleansing for being meaningful and support decision making.
Indium offers Data Quality Validation (DQV) services to systematize and enrich the data, however large and complex they may be. Our customers have achieved next level of technology transformation with the historical data and primed for effective decision making.
Some of the challenges to DQV include:
ETL not being mapped or executed properly
Data received from various sources lack cohesion
Big Data Engineering
GAIN THE INDIUM ADVANTAGE!
Right from requirements gathering to the delivery and maintenance, Indium has a process-oriented approach that covers the following:
We offer Data Quality Validation services irrespective of ETL tools or technology used. Our services include:
We have vast experience in automated, semi-automated and manual ETL testing. Our expertise with automated testing tools guarantees that only valid data will be delivered. Some of the popular tools in which we have our expertise are:
Informatica™ Data Validation
Talend Open Studio for Data Integration