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What is Kavout?

A comprehensive suite of thoroughly analyzed equity factors and signals is delivered as an automated data feed, specifically designed to meet the demands of systematic and quantitative investment experts with a focus on promptness and cost-effectiveness. This service produces a derived equity rating score ranging from 0 to 9, where elevated K Scores suggest a higher probability of outperformance. Quantitative buyside firms incorporate the K Score into their investment frameworks, leveraging it to inform their buy/sell strategies. Through the application of sophisticated machine learning methodologies and ranking algorithms, we evaluate over 200 factors and signals, which include fundamental, price/volume, and alternative data sources. Users benefit from immediate access to the latest researched factors, anomalies, and signals, allowing them to bypass the lengthy weeks typically required for in-house research and validation. This significant time and resource savings makes our service incredibly efficient. With a wealth of historical data and extensive coverage available via an automated feed, actionable insights are easily accessible, offering the benefits of an ETF while granting enhanced flexibility in investment approaches. Partnering with Kavout enables you to design portfolios that not only enhance indices but can also be tailored to target specific sectors or encompass a range of sectors, empowering investors to achieve their strategic objectives effectively.

What is Infosys Test Data Management?

The Test Data Management solution provided by Infosys ensures thorough test coverage by delivering the right data in adequate quantities and at the most effective times within a non-production environment. This solution adeptly facilitates the integration of Agile and DevOps practices, features a self-service data functionality, and leverages machine learning for various processes including data profiling, sensitivity analysis, and intelligent data masking. It also supports large-scale Big Data transformation projects in the cloud by making certain that essential data is available when needed. By skillfully merging data management strategies, proprietary tools for test data management, and partner solutions, it guarantees complete traceability of test data throughout the entire testing lifecycle. Furthermore, this approach boosts efficiency by simplifying the data preparation phase, which ultimately results in enhanced project outcomes and a more streamlined testing process. Thus, organizations can expect not only improved performance but also greater agility in responding to changing project demands.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Kavout

Date Founded

2015

Company Location

United States

Company Website

www.kavout.com

Company Facts

Organization Name

Infosys

Date Founded

1981

Company Location

India

Company Website

www.infosys.com/services/validation-solutions/service-offerings/test-data-management.html

Categories and Features

Stock Portfolio Management

Billing & Invoicing
Client Management
Data Warehousing
For Investment Advisors
For Traders
Order Management
Portfolio Accounting
Portfolio Rebalancing
Risk Management
Tax Management
Technical Analysis
Wash Sale Detection

Categories and Features

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