The
know-how derived from domain expertise and architectural principles is
key to a sound data strategy. Execution however, is the important half
that streamlines data strategies into successful implementation.
Deriving
value from data is not a process in isolation. It requires co-crafting.
It depends upon the alignment with other processes. It requires an
understanding of the time value. It benefits from visualization.
At
Datafiniti, we leverage critical thinking to decompose complex problems
and crystallize succinct data requirements. We do a Business case
analysis to derive the value of the data and the architectural choices.
In existing situations we look at Gap Analysis to define the reference
between the current and target choices. Data is not seen in isolation
and needs to be coordinated with Business processes. We conduct a Flow
analysis and Process alignment to ensure that that the data flows as
expected through the elements in the network and preserves integrity
across multiple hops.
We
get exposed to solving unique data situations. These demand a solid
grasp of traditional and contemporary project and product management
techniques. At
Datafiniti, we take full ownership and
accountability of custom work with Project Management
practices.
Most data
problems center around products. Both Transformational and Evolutionary
strategies in the product life-cyle need a strong underpinning of
product management. Datafiniti aligns to these management practices to
build lasting returns with data.