As leading FIs reimagine how data quality engineering can be a game-changer, essential insights for innovations surface. Achieving business impact with data is far more than a buzzword.

1. How is Information Quality
Engineering Changing in 2022?

2. As leading FIs reimagine how data quality engineering can
be a game-changer, essential insights for innovations
surface. Achieving business impact with data is far more
than a buzzword.
Never before has it been easier to make an impact with
data. More and more data are available today, computing
power is ever-increasing, and use cases for big data are
on the rise. Data is synonymous with digital as it is
reflected in how banks collect data, refine it, turn it into
insights, and drive digital adoption.
All of this translates into transformation success and a
company’s profitability when CDOs consider the multiple
dimensions of Data Quality (DQ)

3. The multifold QE benefits can be realized by partnering
with specialists like Maveric Systems. Leading FIs can
accelerate their QE missions to the next level.
Immediate benefits
•Shorter testing cycle times are delivered by intelligent
automation.
•Continuous testing with shift-left and shift-right Delivery
assurance.
•Capacity enhancements with improved availability.

4. Longer-term value QE realization
•Increases automation across the entire value pipeline
•Identify investment opportunities that leverage
market advantages
•Rapid feedback around product reliability and
combating business risks
•Beyond functional validation, it delivers multi-
dimensional test approaches
Three Data Quality Engineering Trends
Begin with an information strategy in mind.
Driving alignment of information assets for a robust QE
strategy that delivers value only begins when FIs commit
to a strategy roadmap, including elaborate information
architecture and data governance processes. After all,
managing risks and making correct regulatory decisions
depend on the business intelligence that comes from
investments in risk assessment systems.

5. Enhanced Focus on Customer Data Profiling
Profiling client customer data and adhering to metadata and
business rules defined for cleansing and weeding out
duplicates go a long way in establishing a meaningful DQ
baseline for required fields and preparing for future DQ
issues by validating relationships between various DQ
tables.
Growing Relevance of Deep Tech in DQ Engineering
Be it digital transformation, wealth management
modernization, financial regulation compliance, or even
talent skilling in DQ engineering, the use case of AI, NLP, and
ML, among other deep tech applications, is increasing each
day.
As a new era of scalable, seamless, serverless architectures
and infrastructure as a code proliferate in the QE space,
successful DQ teams are getting better at understanding
how particular platforms will flex to meet future spikes and
spotting limitations that may obstruct agility. By using
different SMEs that road-test automation frameworks,
leading banks are learning how collaboration rhythms (of
development, platform engineering, and testing) can run
efficiently with fewer errors.

6. Conclusion
Data Quality Engineering in 2022 and the years ahead relies
on a solid solution delivery framework (methodology,
governance, technology, and domain expertise). From this
bedrock of understanding, appropriate toolsets and DQ
maturity stages (requirements, assessment, and
management) emerge.
About Maveric Systems
Starting in 2000, Maveric Systems is a niche, domain-led
Banking Tech specialist partnering with global banks to
solve business challenges through emerging technology.
3000+ tech experts use proven frameworks to empower our
customers to navigate a rapidly changing environment,
enabling sharper definitions of their goals and measures to
achieve them.
Across retail, corporate & wealth management, Maveric
accelerates digital transformation through native banking
domain expertise, a customer-intimacy-led delivery model,
and a vibrant leadership supported by a culture of
ownership.
With centers of excellence for Data, Digital, Core Banking,
and Quality Engineering, Maveric teams work in 15
countries with regional delivery capabilities in Bangalore,
Chennai, Dubai, London, Poland, Riyadh, and Singapore.

7. Contact Us
Reach us: https://maveric-systems.com/reach-us/
Website: https://maveric-systems.com/
Original Source: https://maveric-systems.com/blog/how-is-
information-quality-engineering-changing-in-2022/
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