Transformation
Transformation is where the different
data sources are prepared, cleaned,
consolidated, and normalized so
that they can be reliably interpreted
together. Then, depending on what
was identified and uncovered in
the discovery phase, data is staged
and stored or directly stored in a
data lake and processed later on for
user needs.
Insights
After transforming the data into
organized structures, you can now
turn it into useful information to
increase efficiency and safety.
A variety of tools are available to
pull the data from storage to start
visualizing and understanding it.
By adapting workflows to be fully
data-driven, cities can have greater
confidence in their decisions
as they continue to keep their
communities safe.
Governance
To achieve governance, we cover security,
data quality, access rights and auditability
to ensure:
data is protected against compromise
data quality is maintained for
trustworthy decisions
the right people have access to the
right data
the integrity of sensitive information
within the data
