Data is everywhere and is being generated at a breakneck pace. This is creating a huge opportunity for organizations to gain new insights, make the 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.
Leverage KDSP to unlock value from your data in a single, integrated environment.
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 a tangible business outcomes in a short period while enforcing best practices in building data programs.Download Platform Brief
Having access to many advanced analytics technologies under a single visual environment, such as a Data Science Platform, will enable you:
KDSP is a unified analytic and data framework. But under the covers, it contains a cross-engine 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.
Knoldus Data Science platform enables all the 4 phases and operationalizes data programs to deliver a tangible business outcomes in a short period while enforcing best practices in building data programs.
Detailed stories, estimated
and sprint level planning
Architecture beyond Knoldus
Data Science Platform
Hierarchy and teams
Business, Units, IT,
Meta Data, -
Interpretation of Data-
Schema storage, evolution,
format and data
We help organizations with their journey from challenges to high-performance business outcomes and look out for ways to leverage data science technologies along with existing systems. 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.
Our diverse wrokforce to challenge old practices and drive exceptional performance.