Infosys Data Quality as-a-service (DQaaS) Solution
Business Imperative
• 53% of companies have suffered losses
or problems due to poor data quality*
• 40% of business initiatives fail to
achieve target because of bad data*
• 77% of companies believe their
bottom line is affected by inaccurate
and incomplete data*
• Gartner Survey estimate that poorquality data is costing on an average
$14.2 million annually *
Our Solution
Infosys Data-Quality-as-a-Service (DQaaS)
leverages the latest data quality techniques
and tools in an on premise or Cloud-based
subscription model.
©2016 Infosys Confidential
It is a cost effective, scalable, highly
available and fast track solution which
caters to all your data quality problems and
integrates with our automation platform.
DQaaS brings traditional data quality
service benefits and empowers you to
define services you want, how and when
you want them delivered and customized.
Infosys.com
Service Components
We can customize our service catalog & pre-built business rule library to meet your
requirements. Data is imported and exported in your preferred format and the solution is
available on Cloud or on premise.
5
Solution Architecture
Benefits
delivered…
©2016 Infosys Confidential
Subscription based model
Usage based Subscription Model for our service
catalog
Reduced turnaround time
Reduced time to market with pre-built business rule
library and standard DQ practices
Cost reduction
Cloud-based pay as you go subscription model and
accelerator tools which increase ROI
Cloud service
Solution deployable on any Cloud platform
Standard operating procedures
Data standardization, validation, enrichment,
de-duplication, and consolidation to ensure delivery of
high-quality information
Improved productivity
Increased productivity using pre-built business rule
library, usage of re-usable components and increased
operational efficiency due to automation
Success Story
A leading global financial services company was able to improve the quality of data with help of Infosys Data-Quality-as-a-Service solution.
The client was able to better visualize metadata as well as data quality and its impact.
The automated DQ process reduced efforts from 34 hours/month to 6 - 8 hours/month. It improved operational efficiency and yielded 65%
effort savings in data quality checks.
* Reference : http://sapinsider.wispubs.com/-/media/Alloy/Whitepapers/BackOfficeEB_Top5Reasons-US.pdf
* Reference : https://www.gartner.com/doc/2636315/state-data-quality-current-practices
For more information, contact [email protected]
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