What is SCIKIQ?

A cutting-edge AI-driven platform for data management that promotes data democratization is here to revolutionize how organizations innovate. Insights foster creativity by merging and unifying all data sources, enhancing collaboration, and equipping companies to innovate effectively. SCIKIQ serves as a comprehensive business platform, streamlining the data challenges faced by users with its intuitive drag-and-drop interface. This design enables businesses to focus on extracting value from their data, ultimately boosting growth and improving decision-making processes. Users can seamlessly connect various data sources and utilize box integration to handle both structured and unstructured data. Tailored for business professionals, this user-friendly, no-code platform simplifies data management via drag-and-drop functionality. Additionally, it employs a self-learning mechanism and is cloud and environment agnostic, granting users the flexibility to build upon any data ecosystem. The architecture of SCIKIQ is meticulously crafted to navigate the complexities of a hybrid data landscape, ensuring that organizations can adapt and thrive in an ever-evolving data environment. Such adaptability makes SCIKIQ not only a tool for today but a strategic asset for the future.

Pricing

Price Starts At:
$10,000 per year
Price Overview:
Yearly License
Free Trial Offered?:
Yes

Integrations

Offers API?:
Yes, SCIKIQ provides an API

Screenshots and Video

Dashboard

Dashboard

Company Facts

Company Name:
DAAS Labs
Date Founded:
2014
Company Location:
India
Company Website:
scikiq.com
Edit This Page

Product Details

Deployment
SaaS
Windows
Mac
Linux
Chromebook
On-Prem
Training Options
Documentation Hub
Online Training
On-Site Training
Video Library
Support
Standard Support
24 Hour Support
Web-Based Support

Product Details

Target Company Sizes
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Government
Startup
Supported Languages
English

SCIKIQ Categories and Features

PIM Software

Content Syndication
Data Modeling
Data Quality Control
Digital Asset Management
Documentation Management
Master Record Management
Version Control

Master Data Management Software

Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization

Integration Software

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

ETL Software

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Data Quality Software

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Data Mining Software

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

Data Management Software

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Data Governance Software

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Data Discovery Software

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Catalog Management Software

Catalog Creation
Content Library
Content Management
Cross Selling Functionality
Custom Product Attributes
Customizable Catalogs
Desktop Publishing
Pricing Management
Product Comparison
Search

Business Intelligence Software

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

Big Data Software

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates