With Knoldus Data Science expertise, we would make sure that
you make the most efficient use of data.
We will identify data
sources, both internal and external, likely to provide valuable
information for specific analytical use cases, or for general
enterprise applicability. We can show how unstructured data can
be transformed into a valuable input into decision making.
We validate the solution of
business problems with insights available from your data. For
instance, we might evaluate enterprise work order data for its
ability to help understand equipment failure, generating
hypotheses around the relationship between training, equipment
condition, and maintenance outcomes.
We will build both custom
and tool-based data visualizations that enable exploration and
communication of data and insights. At early stages we provide
rich mockups that help build understanding with the parts of
the business the work is designed to support.
Descriptive profiling and
generation of summary statistics for data sources enables us to
understand variance, sparseness, and other critical
characteristics. We will evaluate data for hygiene and its
utility in helping diagnose problems or predict outcomes.
We design, build and
evaluate mathematical models to enable scoring, prediction,
categorization and other workloads. We also implement model
management strategies, encompassing storage, version control,
and deployment services. As part of a mature solution, we
design and implement model audit trail and compliance
From mockups through pilots
and production, we build application interfaces such as
dashboards or embedded capabilities in other applications (e.g.
dispatch apps for fleet management), using advanced
visualization capabilities. We emphasize providing key
functionality at an early stage, ensuring early validation of
the core application value.