Audience
Data centers, companies that need a Business Intelligence solution to move and manage a sizable amount of data
About Sprinkle
Businesses today need to adapt faster with ever evolving customer requirements and preferences. Sprinkle helps you manage these expectations with agile analytics platform that meets changing needs with ease. We started Sprinkle with the goal to simplify end to end data analytics for organisations, so that they don’t worry about integrating data from various sources, changing schemas and managing pipelines. We built a platform that empowers everyone in the organisation to browse and dig deeper into the data without any technical background. Our team has worked extensively with data while building analytics systems for companies like Flipkart, Inmobi, and Yahoo. These companies succeed by maintaining dedicated teams of data scientists, business analyst and engineers churning out reports and insights. We realized that most organizations struggle for simple self-serve reporting and data exploration. So we set out to build solution that will help all companies leverage data.
Pricing
Starting Price:
$499 per month
Free Version:
Free Version available.
Free Trial:
Free Trial available.
Company Information
Sprinkle Data
Founded: 2017
United States
www.sprinkledata.com
Videos and Screen Captures
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Product Details
Platforms Supported
SaaS
Training
Documentation
Live Online
Webinars
In Person
Support
Phone Support
24/7 Live Support
Online
Sprinkle Frequently Asked Questions
Sprinkle Product Features
Business Intelligence
Ad Hoc Reports
Dashboard
Key Performance Indicators
Performance Metrics
Predictive Analytics
Profitability Analysis
Visual Analytics
Benchmarking
Budgeting & Forecasting
Data Analysis
Natural Language Generation (NLG)
Strategic Planning
Trend / Problem Indicators
Data Extraction
Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Quality Control
Data Security
Information Governance
Master Data Management
Data Migration
Match & Merge
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control
Integration
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services