Name: Stella
Author: Agrud Technologies

Help Desk

Web and Video Conferencing

Customer Support

Mind Mapping

Mobile App Development

Push Notifications

Development

Audit

Business Intelligence (BI)

Calibration Management

Collaboration

Embedded Business Intelligence (BI)

Org Chart

Procurement

Enterprise

Accounting

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Credentialing

HR Management

Payroll

Professional Employer Organizations (PEO)

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

C/C++ Integrated Development Environments

Cloud Storage

Compliance Consulting

Cybersecurity Consulting

Data Virtualization

Dynamic Application Security Testing (DAST)

Electronic Data Interchange (EDI)

Fraud Detection

HTML Editors

IT Service Management (ITSM)

Identity Management

Infrastructure-as-Code (IaC)

Integration Platform as a Service (iPaaS)

Managed Print

Network Performance Monitoring

Password Management System

Relational Databases

Remote Monitoring and Management

Software Defined Networking (SDN)

Traffic Switching

Virtual Private Network (VPN)

Virtualization Management

Voice Recognition

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Consumer Ratings & Reviews

Content Management

Email Marketing

Heatmap and Session Recording

Landing Page

Marketing Automation

Marketing Resource Management

Mobile Marketing

Presentation

Social Login

Social Media Management

Survey & Forms Building

Video Streaming

Web Analytics

Marketing

Project Management

Professional Services

Customer Relationship Management (CRM)

Sales

Antivirus

User and Entity Behavior Analytics (UEBA)

Security

Auto Repair

Equation Editors

Insurance Agency Management

Legal Research

Library Management

OSS/BSS (Operations Support/Business Support)

Real Estate Property Management

Vertical-Specific

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Stella, developed by Agrud Technologies, is a Platform as a Service (PaaS) solution designed for Wealth Managers, Brokers, and Family Offices. According to the vendor, Stella aims to provide a comprehensive financial data, content, and analytics cloud infrastructure that caters to companies of all sizes in the wealth management and fintech industry. The product offers a range of features and functionalities that can potentially streamline operations, reduce costs, and provide faster time to market for professionals in the wealth management sector, brokers, family offices, fintech companies, and financial institutions.

## Key Features

**Global Market Coverage**: According to the vendor, Stella provides API connections to multiple data providers and bots, offering access to price, fundamental, and general data across 12 countries and close to 40,000 tickers in various asset classes such as Equities, ETFs, Indices, Mutual Funds, and Forex. It also collects data on filings, short interest, insider trading, and analyst ratings.

**Contextual Search**: Stella allows users to create context around all the tickers it covers. According to the vendor, it scans the web and social media platforms to track information about companies, including details about key employees, product launches, suppliers, and credit ratings.

**Actionable Data**: Stella generates actionable data, eliminating the need for data scientists and analysts to run their own processes. According to the vendor, it provides current and historical data on thousands of standardized analytics, including technicals, price analytics, ratios, and margins.

**Market Intelligence**: Stella offers market intelligence as a search functionality, running thousands of analyses at regular intervals. According to the vendor, it can provide answers to simple questions such as "Which large-cap stocks underperformed the market this year?"

**Portfolio Intelligence**: Stella allows users to evaluate asset allocation, sector weightings, and uncover concentrated positions. According to the vendor, it enables users to view individual holdings across all products and track personnel or manager changes.

**Backtesting & Scenario Analysis**: Stella enables users to create their own strategies, backtest them, and run scenario analysis using Python or Blocks. According to the vendor, it eliminates the need to download and maintain data, as everything happens in the cloud.

**Multi Portfolio and Watchlist Tracking**: Stella allows users to create and track multiple portfolios and watchlists. According to the vendor, it also tracks other watchlists of interest, such as portfolios of top investors or recommendations by reputable sources.

**Recommendation Engine**: According to the vendor, Stella's recommendation engine analyzes portfolios and investment needs to provide personalized recommendations. It considers thousands of attributes for each security to personalize recommendations based on short or long-term requirements.

**Output: NLG, Reports, Chatbots**: Stella seamlessly integrates with various output formats, including simple data, text, audio, or video, which can be accessed through APIs. According to the vendor, it enables the creation of automated reports, emails, chatbots, and triggers using instant messaging. Additionally, Stella offers a powerful natural language generation (NLG) tool for personalized daily updates.

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Agrud Technologies

BI Platform

Administration via Windows App

Administration via MacOS App

Administration via Web Interface

Live Connection to External Data

Snapshot of External Data

In-memory data model

OLAP (Pre-processed cube representation)

ROLAP (SQL-layer querying)

Multi-Data Source Reporting (Blending)

Data warehouse / dictionary layer

ETL Capability

ETL Scheduler

Supported Data Sources

Data sources that can be consumed by the application.

MS Excel Workbooks

Text Files (CSV, etc)

Oracle

MS SQL Server

IBM DB2

Postgres

MySQL

ODBC

Cloudera Hadoop

Hortonworks Hadoop

EMC Greenplum

IBM Netezza

HP Vertica

ParAccel

SAP Hana

Teradata

Sage 500

Google Analytics

BI Standard Reporting

Standard reporting means pre-built or canned reports available to users without having to create them.

Pixel Perfect reports

Pixel Perfect reports are highly-formatted reports with graphics and ability to preview the report before printing.

Customizable dashboards

Customizable dashboards are dashboards providing the builder some degree of control over the look and feel and display options.

Report Formatting Templates

Ad-hoc Reporting

Ad-Hoc Reports are reports built by the user to meet highly specific requirements.

Drill-down analysis

Drill down analysis is the ability to get to a further level of detail by going deeper into the hierarchy.

Formatting capabilities

Ability to format output e.g. conditional formatting, lines, headers, footers.

Predictive modeling

Predictive modeling is the ability to build future forecasting models.

Integration with R or other statistical packages

Integration with the open-source R predictive modeling environment.

Report sharing and collaboration

Report sharing and collaboration is the ability to easily share reports with others.

Report Output and Scheduling

Ability to schedule and manager report output.

Publish to Web

Publish to PDF

Output Raw Supporting Data

Report Versioning

Report versioning is the assignment of version numbers to each version of a report to help in tracking.

Report Delivery Scheduling

Report Delivery Schedule is the ability to have reports delivered to a destination at a specific data and time.

Delivery to Remote Servers

Ability to deliver reports to remote servers

Data Discovery and Visualization

Data Discovery and Visualization is the analysis of multiple data sources in a search for patterns and outliers and the ability to represent the data visually.

Pre-built visualization formats (heatmaps, scatter plots etc.)

Pre-built visualization formats are canned visualization types that can be selected to visualize different kinds of data.

Location Analytics / Geographic Visualization

Location analytics is the visualization of geographical or spatial data.

Predictive Analytics

Predictive Analytics is the ability to build forecasting models based on existing data sets.

Support for Machine Learning models

Machine learning refers to computer programs that can learn when exposed to new data.

Pattern Recognition and Data Mining

Pattern recognition and data mining mean the ability to recognize hidden patterns in large quantities of data.

Access Control and Security

Access control means being able to determine who has access to which data.

Multi-User Support (named login)

Named model access means that users have access based on name and password.

Role-Based Security Model

Role-based access means that access to data is determined by job or position in the corporation.

Multiple Access Permission Levels (Create, Read, Delete)

Multiple access permission levels means that different levels of users have different rights.

Report-Level Access Control

Report-level access control means that the type of report determines who has access to it.

Table-Level Access Control (BI-layer)

Stella

Overview

What is Stella?