Enterprises are driving real business transformation through data science and analytics
Data is everywhere and is being generated at a breakneck
pace. This is creating a huge opportunity for organizations to gain new insights, make
data-driven decision and arrive at outcomes that drive success.
In the scramble to catch up, many organizations have
adopted a hodgepodge of tools without a clear strategy for how each fits in the broader
analytics technology stack in their environment. These dynamics affect organizations at all
maturity levels; and after investing more resources in big data and data science, they
are not yet realizing their anticipated return on investment.
Knoldus Data Science Platform (KDSP)
Leverage KDSP to unlock value from your data in a single, integrated
Knoldus Data science platform uses a structured data program for
the entire data science life cycle, including data integration and exploration, model
development, and model deployment.
within a single integrated environment. It combines open source and commercial analytic
technology together to operationalize insights, solve complex business problems, and enable
descriptive, predictive and prescriptive analytics-including autonomous decision-making.
The KDSP delivers the best analytic functions and engines, preferred tools and languages
and support for multiple data types.
Knoldus Data Science platform enables organizations to deliver
tangible business outcome in a short period, while enforcing best practices in building
Unlock the Business Values with Knoldus Data
Having access to many advanced analytics technologies under a single visual environment,
such as a Data Science Platform, will enable you:
Centralized location for data
Quickly Operationalize Analytics
Technical Specification and a brief Architecture of Knoldus Data
KDSP is a unified analytic and data framework. But under the covers, it contains a
crossengine orchestration layer that pipelines the right data and analytic request to the
right analytic engine across a high-speed data fabric. The result is a tightly integrated
analytic implementation that is not bound by functional or data silos.
Data Science Platform Components
Knoldus Data Science platform enables all the 4 phases and operationalizes data program to
deliver tangible business outcome in a short period, while enforcing best practices in
building data programs.
Implementation methodology of Knoldus Data Science Platform
Detailed stories, estimated
and sprint level planning
Architecture beyond Knoldus
Data Science Platform
Data Org Structure
Hierarchy and teams
Business, Units, IT,
Governance & Policies
Meta Data, -
Meta Data Management
Interpretation of Data-
Schema storage, evolution,
format and data
How Knoldus Data Science Platform impacts our clients and discover new ways to monetize
We helps organizations with their journey from challenges to high performance business
outcomes and look out for ways to leverage data science technologies along with existing
With a single and integrated framework that enables data to flow throughout an organization
to where it is needed, and when it is needed to bring insights and value.
Data Integration and Machine Learning for Deeper Insights