ANOW! Suite Features

Processes batch, real-time, and streaming data workloads in singular, multi-tenant, or cloud systems

Expands functionality while maintaining balanced loads. Serves growing demand without reducing functionality.

Provides additional AI analytics to drive insights.

Streamline the flow of work processes by establishing triggers and alerts that notify and route information to the appropriate people when their action is required within the compensation process.

Visually displays connected applications and integrated data. Allows customization and management of workflow structures.

Processing changes to data sources and applications as changes are made in real-time.

Offers the ability to record processes performed by humans to be recreated by bots.

Automates all parts of the Data Warehouse lifecycle - warehouse design, provision data sources.

Supports real-time data ingestions and updates in the cloud or on-premises.

Software delivers insights into data in order to identify gaps, risk within the data warehouse.

Supports no-code/low code development patterns.

Provides Administration tools/console that are easy to use and learn for routine maintenance tasks

Creates new or streamlines existing workflows to better handle IT support tickets and service.

Utilizes data to proactively identify and prioritize IT issues.

Supports trust actions( recommend, manual or automated) to take a decision.

Software is able to alert the user immediately in case of a fault in the processing line.

Provides operational access to job scheduling on a 24/7 basis. This gives IT users a flexible point of access to control workloads.

Software is able to alert the user in case of any errors.

Utilizes data to proactively identify IT issues.

Creates new or streamlines existing data models to ensure business continuity.

Automates IT related to the running of batch Jobs.

Application Programming Interface Specification for how the application communicates with other software. APIs typically enable integration of data, logic, objects, etc. with other software applications.

Provides true integration with multi vendor tools to ensure business continuity.

Automatic creation and management of documents.

The software supports a wide variety of data sources and data warehouses that require automation.

Supports a template system, making it easier to set up configuration parameters.

Gives the ability to build a workflow based on business logic or a specific condition in order to route work to different people based on rules.

Provides the user with a no-code or low-code environment in which they can build applications and workflows, including drag-and-drop features.

Gives the user the ability to manage documents, including versioning and the ability to integrate those document with third-party applications.

Integrates data and processes from multiple sources into a single system.

Build interfaces once and use them across one or more processes.

Gives the user the ability to build and use forms on mobile devices.

Integrates data and data-related technologies into a single environment.

Provides metadata management capabilities.

Empowers the user via a self-service capability to manage data workflows.

Completely automates end-to-end data workflows across the data integration lifecycle.

Provides a high performance, flexibile analytics platform to support data management and embrace data driven decision making.

Collect and displays metrics across the data integration via a dashboard.

Involved solely in monitoring data pipelines, sending alerts and troubleshooting data.

Deploys testing capabilities such as report testing, big data testing, cloud data migration testing, ETL and data warehouse testing.

Supports analytical platforms and data pipelines across complex hybrid environments.

Supports migration of component or pipeline to different cloud environments.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Supports scaling to handle peak demand scenarios in processes

Allows customization of processes to fit specific business requirements

Allows users to automate complex business processes efficiently

Enables the management and optimization of workflow tasks

Automates critical, high-stakes business processes effectively

Enables seamless integration with a wide range of third-party software tools

Provides the ability to integrate various endpoints like APIs, microservices, and human tasks

Offers an intuitive interface for designing and visualizing processes

Offers real-time monitoring capabilities for ongoing processes

Facilitates adaptation of processes to meet changing business needs

Manages customer-facing processes

Supports execution across multiple types of endpoints

Ensures processes comply with relevant regulations and standards

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Makes informed choices based on available data and objectives

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Running multiple processors to handle separate parts of an overall task and manage complex tasks/computations.

Allows users to manage data from a number of sources

Application programming interface that allows for integration with other systems/databases

Blending and analysis of large data sets without moving data out of a database.

Observe and track the demand, usage, progress or quality of a system, product, or user

Active reporting of data and metrics

Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency

Active monitoring of systems, applications, or networks

Connect to big data sources

A set of indicators that tracks the performance of networks, applications, systems, teams, etc.

Generate one-off reports that meet information requirements

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Define levels of authorization for access to specific files or systems

Assemble applications and processes by dragging over and arranging pre-built components

Graphical representation of data

Import and export data to and from software applications

Looking at data from different sources and finding possible duplicates, or identical matches

Translate EDI formats into data suitable for use with company applications.

Securely stores data to prevent data loss or breaches

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Alter the layout and content of reports

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Move from one database to another, or upgrade the version of database software being used

Track the management and flow of data throughout the organization