Scikiq: Comprehensive Data Management Platform
Why Choose Scikiq: Comprehensive Data Management Platform?
You should choose Scikiq if you want a no-code, AI-powered data management platform that saves you tons of time and money. It handles everything from data integration to governance and analytics, all in one place. Perfect for teams wanting real-time insights without needing tech skills or complex setups.
SCIKIQ, a no-code data management /fabric platform powered by AI, addresses key data challenges for medium to large organizations. - Empowering Teams to gain real time insights without the need for complex technical skills. - Helps Enterprises save 80% of Data Management costs. - 75% time for Data Transformation. - 40% faster Data Discovery than competitor Platforms The Vital features include - - Generative AI Powered tool. - Integration capability of 100+ types of data Sources. - Automatic and Dynamic Data lineage. - 80%-time reduction in High Volume data Migration with parallel processing. - Real time data analytics. - Real-time data validation and quality checks, available on the move. - Feasibility to function with Multi-Cloud and Multi-vendor data landscapes. - Leverage Elastic search capabilities. - Automate Meta Data Management. - Identify data anomalies at data integration stage. SCIKIQ Offers: Rapid Transformation: Yielding results withing months. 360-Degree Data Management: Replacing Multiple data tools under a single hood. Save Resources and Money: Drives Savings, Optimizes Manpower and reduces TCO by 80%. Minimal Workflow Disruption: Ensures a smooth transition to more advanced data management. High Adaptability: Flexibly caters to the ever-evolving business needs.
Scikiq: Comprehensive Data Management Platform Introduction
What is Scikiq: Comprehensive Data Management Platform?
A Trailblazing, No code, All in one Data fabric platform. SCIKIQ, a no-code data management /fabric platform powered by AI, addresses key data challenges for medium to large organizations. - Empowering Teams to gain real time insights without the need for complex technical skills. - Helps Enterprises save 80% of Data Management costs. - 75% time for Data Transformation. - 40% faster Data Discovery than competitor Platforms The Vital features include - - Generative AI Powered tool. - Integration capability of 100+ types of data Sources. - Automatic and Dynamic Data lineage. - 80%-time reduction in High Volume data Migration with parallel processing. - Real time data analytics. - Real-time data validation and quality checks, available on the move. - Feasibility to function with Multi-Cloud and Multi-vendor data landscapes. - Leverage Elastic search capabilities. - Automate Meta Data Management. - Identify data anomalies at data integration stage. SCIKIQ Offers: Rapid Transformation: Yielding results withing months. 360-Degree Data Management: Replacing Multiple data tools under a single hood. Save Resources and Money: Drives Savings, Optimizes Manpower and reduces TCO by 80%. Minimal Workflow Disruption: Ensures a smooth transition to more advanced data management. High Adaptability: Flexibly caters to the ever-evolving business needs. SCIKIQ enables the organisations to manage data regardless of where it lives. It brings the following cutting-edge possibilities when it comes to managing your data. 1. Data integration - Connect to your Application/Data Store using pre-build Connectors and Recipes 2. Data Preparation - Integrate Data Assets across the enterprise by curating and building a Single Version of Truth. 3. Data Governance - Discover, Manage and Trust the Data Lake by following the best-in-class governance module 4. Data Visualisation: Consume data and insights via reports and dashboards, Data as a Service, or Embedded Analytics When organisations deploy SCIKIQ , Organizations benefit from introducing a unified data management platform architecture such as SCIKIQ, where the end-to-end data management processes are combined, specifically: 1. ETL Tools: Provides capabilities to extract, transform and load data into the target state. 2. Data Catalogue: Provides Data Cataloguing and Meta Data Management Capabilities 3. Data Preparation: Provides data exploration, preparation, and wrangling capabilities for BI/analytics 4. Data Warehousing: Provides capabilities such as Data Modelling, Storing, retrieving, and archival of Data sources 5. Data lakes: A data lake is a system or repository of data stored in its natural/raw format, usually object blobs or files. 6. Reporting: Provides capability to create standard and ad-hoc reports on a self-serve basis 7. Analytics: Provide integration with ML and Statistical model where business can draw key insights