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SCIKIQ

SCIKIQ

Overview

What is SCIKIQ?

SCIKIQ is an AI-driven business Data Fabric framework that helps Data rich organizations overcome the Data silos and other limitations generated by complex multi-vendor, multi-cloud environments and deliver a trusted and real-time view of data across an enterprise in a…

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Pricing

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What is SCIKIQ?

SCIKIQ is an AI-driven business Data Fabric framework that helps Data rich organizations overcome the Data silos and other limitations generated by complex multi-vendor, multi-cloud environments and deliver a trusted and real-time view of data across an enterprise in a short span of time. …

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  • Premium Consulting/Integration Services

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Product Details

What is SCIKIQ?

SCIKIQ is an AI-driven business Data Fabric framework that helps Data rich organizations overcome the Data silos and other limitations generated by complex multi-vendor, multi-cloud environments and deliver a trusted and real-time view of data across an enterprise in a short span of time.

Its No Code, Drag, and Drop User Interface helps business teams focus on decisions and outcomes rather spending time stitching together data across Organisational Silos.

SCIKIQ enables organizations to manage data regardless of where it lives. It brings the following cutting-edge possibilities when it comes to managing data.

  1. Connect- Connect to Application/Data Store using pre-build Connectors and Recipes
  2. Curate - Integrate Data Assets across the enterprise by curating and building a Single Version of Truth.
  3. Control- Discover, Manage and Trust the Data Lake by following the best-in-class governance model
  4. Consume- Consume data and insights via reports and dashboards, Data as a Service, or Embedded Analytics

When organizations deploy SCIKIQ, Organizations introduce a unified data management platform architecture, where 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

SCIKIQ's goal is to make the data available to business users in a faster & trusted manner to accelerate Business transformation for the organization.

SCIKIQ Features

  • Supported: Connect- Connects to an Application/Data Store using pre-build Connectors and Recipes
  • Supported: Curate - Integrates Data Assets across the enterprise by curating and building a Single Version of Truth.
  • Supported: Control- Discover, Manage and Trust the Data Lake by following the best-in-class governance model
  • Supported: Consume- Consume data and insights via reports and dashboards, Data as a Service, or Embedded Analytics

SCIKIQ Screenshots

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SCIKIQ Technical Details

Deployment TypesOn-premise, Software as a Service (SaaS), Cloud, or Web-Based
Operating SystemsWindows, Linux
Mobile ApplicationNo
Supported CountriesNorth America, Europe, Middle East ASIA, South East ASIA
Supported LanguagesEnglish

SCIKIQ Customer Size Distribution

Consumers0%
Small Businesses (1-50 employees)0%
Mid-Size Companies (51-500 employees)10%
Enterprises (more than 500 employees)90%
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