dataPARC Features

Reports interface for standard and self-service reports is intuitive and easy to use.

Requires a minimal number of steps/clicks to answer business question.

Offers a variety of attractive graph and chart formats.

Score cards visually track KPI's.

Provides business users an interface to easily design, refine and collaborate on their dashboards

Alter the layout and content of reports

Reports specific to marketing and associated campaigns

Reports specific to sales analysis for trends and strategies

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

Edit and personalize data view as needed

Alter the layout and content of reports

Alter the layout and content of reports

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

Alter the layout and content of dashboards

Reports interface for standard and self-service reports is intuitive and easy to use.

Receive email reports and notifications regarding metrics.

Requires a minimal number of steps/clicks to answer business question.

Ability to track historical data.

Track metrics in real time with consistent and frequent updates.

Set a time to generate routine reports automatically

Alter the layout and content of reports

Predict future data based on historical data sets

Ability to handle large datasets

Receive data and information in real time

Ability to track historical data.

Track metrics in real time with consistent and frequent updates.

Consolidate manufacturing information from multiple sources

Structure data using hierarchies to make it easier to use and manage

Ability to trasnfer data between shop floor systems and software products

Provide features for manual and automated data collection

Process manufacturing information to remove errors and duplicated data

Include standard KPIs to monitor manufacturing quality

Deliver real time data on manufacturing operations and processes

Customizable dashboards display KPIs and metrics in real time

Run detailed queries for searching, sorting, and analyzing data.

Create personalized dashboards for observing and interacting with data.

Contains tools to visualize data sets or workflows.

Offers actionable insights or relevant findings from unstructured data sets.

Graphical representation of data

Provides useful pre-defined data connections to various types of IoT sensors and objects.

Provides a robust external interface for integrating data, logic and workflows with other software applications.

Maintains an efficient, reliable data flow with established sources.

Specialized for devices with sensors and processing ability to connect and exchange data over the internet

Learn about overall operational performance from device observations.

Make observations about environmental and workplace conditions.

Measure the usage of and/or demand for various resources.

Offers a variety of attractive graph and chart formats.

Score cards visually track KPI's.

Provides business users an interface to easily design, refine and collaborate on their dashboards

Allows one to create and export visualization into various formats (PNG, JPEG, etc.)

View and present dashboard on mobile devices

Publish dashboard publicly on various platforms

Share dashboard screen within private user groups

Provides the ability to easily share visualizations.

Allows multiple users to edit and create visualizations together.

Has the ability to edit visualization across devices and device types (e.g. computer and phone).

Use AI to generate content in the form of text, images, videos, etc.

Anticipates needs and offers suggestions without prompting

Identify component attributes like servers, hardware, software, and manage relationships across all services

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

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Monitor the usage of assets, such as equipment, tools, software, etc., throughout their lifecycle

Tools for the systematic analysis of various types of data or statistics

Active reporting of data and metrics

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

Process of gathering, measuring, and analyzing accurate data

Receive data and information in real time

Review data from past periods to reveal recurring tendencies and predict future performance

Track and document all activities across devices, networks, and other systems

Use AI to generate content in the form of text, images, videos, etc.

Allows users to manage data from a number of sources

Ability to handle large datasets

Predict future data based on historical data sets

Examine large amounts of data to uncover hidden patterns, correlations, and other insights

Interact with data visualization elements, such as charts and graphs, to drill down into data

System alerts about the need to escalate an issue or request

Active monitoring of systems, applications, or networks

Notifications that are delivered to users as soon as an event occurs

Process of extracting, transforming, and loading data

Analyze and gain insights into data in real-time

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

Critical link between devices, network, and reliable delivery of IoT data.

Monitor and analyze the performance and status of a server or system/application

Track the status over time for a request, process, asset, or transaction

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

Tracking the status of previously identified performance measurements

Securely stores data to prevent data loss or breaches

Allows users to manage data from a number of sources

Graphical representation of data

Allow users to access multiple services after entering their login credentials once

Ability to interact with the application using human languages such as English

Search and filter data across systems to locate required information by entering keywords or certain criteria

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

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

Notifications that are delivered to users as soon as an event occurs

Provides a channel for team members to share media files, communicate, and work together

An extended application or connector that enables users to perform additional services with their current set of tools

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

Generate one-off reports that meet information requirements

Track and document all activities across devices, networks, and other systems

View and track pertinent metrics to find patterns and gain insights from data

Add customized logos and colors to align with company branding

Collect, process and structure data from multiple sources for further analysis

Creation and customization of dashboards

Connect to big data sources

Pre-designed layouts that can be customized to match preferences and requirements

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

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

Form predictions based on past and present data/trends

Various components within a system including buttons, clickable icons, hover effects, and more

Display aggregated data points on one page for a bird's eye view assessment

Import and export data to and from software applications

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

Define levels of authorization for access to specific files or systems

Review data from past periods to reveal recurring tendencies and predict future performance

Create, design and manage workflows for repetitive tasks

Set up connections to third-party platforms to improve business processes

Perform various mathematical calculations using the data

Information, data and reports that are being tracked over time

Import, collect, and capture data from multiple sources

Process of visually navigating data and applying analytics to detect patterns, gain insight, and answer specific business queries.

Receive system updates as soon as any changes are made

Active reporting of data and metrics

Track the management and flow of data throughout the organization

Relationship diagram view that arranges items in data based on the relationships between them in a freeform graph.

Interact with data visualization elements, such as charts and graphs, to drill down into data

Online Analytical Processing technology for performing high-speed complex queries or multidimensional analysis on large volumes of data

One-off queries made on an as-needed basis

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns