Sifflet Features

Allows administrators to assign role-based user access for specific data sets

Hides and masks sensitive data automatically based on user permissions

Provides historical insights into original data sources and transformations made to data sets

Create, design and manage workflows for repetitive tasks

Offers simple search capabilities to discover specific data sets

Allows users and administrators to easily clean data to maintain quality and integrity

Converts data formats of source data into the format required for the reporting system without mistakes

Tools to (re)structure data in a manner that allows extracting insights quickly and accurately

Allows users to comment on data sets to help future users better interact and interpret the data

Permits profiling of data sets for increased organization, both by users and machine learning

Creates a business glossary for faster understanding by the average business user

Indexes metadata descriptions for easier searching and enhanced insights

Verify, organize, manage & store enterprise data assets in a centralized repository

Manage and store data in a database

Ability to handle large datasets

Automates recommendations for users based on machine learning functionality

Offers natural language querying functionality for non-technical users

Cleans data to improve quality via automation

Monitors database functionality to verify baselines are maintained or exceeded.

Sends alerts via email, text, phone, and more when an incident or issue occcurs.

Captures logs for all database functions to garner greater information around issues or failures.

Monitors database query time for unusual execution times

Manually and/or automatically generates reports covering database performance

Follows database monitoring live information through graphical dashboards

Monitoring and measurement of relevant metrics to assess the performance of IT resources

Active monitoring of systems, applications, or networks

Continuously scan servers on a designated network to monitor health and search for any irregularities or failures

Active reporting of data and metrics

Track the availability time for a designated network or website over a given period of time

Monitor or audit historical and current transactions to analyze customer account activities

Receive data and information in real time

Correctly identify inaccurate, incomplete, or duplicated data from a data source.

Utilize deletion, modification, appending, merging, or other methods to correct bad data.

Standardize data formatting for uniformity and easier data usage.

Clean data as it enters the data source to prevent mixing bad data with cleaned data.

Finds duplicates using the fuzzy logic technology or an advance search feature.

Receive data and information in real time

Generate real-time depth analytics utilizing event metrics, logging and metadata.

Use custom or pre-built tests for buisness rules. to ensure data quality.

Involves automation capabilities to identify and track issues, failed operations by looking at historical trends.

Complete visibility of the data pipeline, and immediately notifies the data team if any issues. Ensures cross stack visbility.

Provide follow-up information after data cleanings through a visual dashboard or reports.

Automatically run data identification, correction, and normalization on data sources.

Schedule automated audits to identify data anomalies over time based on set business rules.

Gives a view of the entire data quality management ecosystem.

Allows user role-based access and actions to authorization for specific tasks.

Captures and manages data hierarchy and definitions.

Helps integrate external and internal reference data such as industry codes, entity identifiers, country codes etc used to categorize information across systems.

Helps understand the origination and route of data along with the transformations happening across various domains.

Provides context and information for data assets stored across domains and ensures adherence to established policies and processes.

Receive data and information in real time

Create, design and manage workflows for repetitive tasks

Create and manage digital catalog of products/services with their details, specifications, and price

Track and manage adherence to policies for any service, product, process, or supplier

Manage inventory, communication, marketing, orders & more across warehouses, stores and online channels

Identify the different type of anomalies and receive alerts.

The data observability environment can be viewed from a single dashboard.

Provides immediate alerts for any anomalies or expected events.

Establishes lineage for the data pipeline - from data warehouse to the data user.

Support integrations with various business applications which support different data processes. Also, integrate with apps to provide alerts.

Centralizes the management of multiple domains of master data which includes product, customer, vendor, asset, location and pricing.

Matches master data records and merges them into a single accurate record across source systems.

Shows relationships between records and entries, defined in a repository model.

Provides a simple customizable design environment to develop custom UIs using simple drag and drop actions.

Track the management and flow of data throughout the organization

Encompasses of policies, principles and qualities to promote access to accurate and certified master data.

Helps mask or hide critical information to prevent unauthorized access.

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.

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

Allows users to generate text based on a text prompt.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

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

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

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

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

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

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

Engages in human-like conversation for task delegation

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

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

Determine and plan production capacity based on changing demands

Process of planning, scheduling and executing the optimal and effective use of human capital across projects

Automatically identify unusual behavior

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

Remotely monitor and manage client networks, endpoints, systems, and devices via locally installed applications

Securely stores data to prevent data loss or breaches

Assembly of graphs and charts for visualizing and tracking statistics/metrics

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

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

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

Manage user accounts, profiles, roles, permissions, and other details across applications, devices or networks

Monitor service demand and performance to plan for adequate resources that meet business needs

Access client's system information, including hardware and software configuration, to perform diagnostics

Track and manage task relationships and dependencies

Take actions to troubleshoot issues for networks, devices, etc.

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

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

Predict future data based on historical data sets

Plan, schedule, and execute organization's accounts and assets to ensure compliance with policies and laws

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

Track, manage and store the applications of potential future members, customers or candidates

Manage and store data in a database

Track, monitor and analyse information pertaining to specific applications

Operate multiple applications in a shared environment

View and analyze individual requests received by a database

Organize and manage the accomplishments and development of employees or performance of applications or systems

Define levels of authorization for access to specific files or systems

Track and manage adherence to policies for any service, product, process, or supplier

Review data from past periods to reveal recurring tendencies

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

A chronological record of actions or occurrences within a network, software, or process

Creation and customization of dashboards

Automatically identify systems to be monitored

Arrange tasks based on the level of priority or urgency

Record and follow the progress of every issue

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

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

Reallocate existing resources to better utilize capacity

Analyze and gain insights into data in real-time

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

Retrieval of embedded metadata that is present within a file

Data is backed up automatically to prevent data loss

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

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

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

Verify the identity of users/devices to enable secure access

Protect sensitive data for digital privacy

Track the management and flow of data throughout the organization

Moving and separately storing data that is not actively used or continuous storage of data for compliance purposes

Discover and connect variety of data sources to the application for analysis

An organized inventory of all data assets

Allows users to manage data from a number of sources

Organize and group data or items based on various criteria

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

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

Attach digital tags to documents and assets for identification, search, or monitoring purposes

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

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

Set & manage permission levels based on user roles and restrict access to only authorized individuals

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

Collection of processes, policies, and standards to manage the storage & usability of enterprise data

Centralized repository to store content and assets

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

Import and export data to and from software applications

Define levels of authorization for access to specific files or systems

Graphical representation of data

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

Indexes metadata descriptions for easier searching and enhanced insights

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

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

Create, design and manage workflows for repetitive tasks

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

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

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

Import and export data to and from software applications

Rules followed by the software/AI can be configured by users to suit their specific needs

Verify, organize, manage & store enterprise data assets in a centralized repository

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

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

Allows users to manage data from a number of sources

Online portal through which end users can access the system, manage tasks, or obtain information

A collection of customer information such as contact details, demographics, previous interactions, etc.

Process of checking different types of data for accuracy to avoid errors or inconsistencies

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

Manage and support multiple languages

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

Compare new data with existing records to detect duplicate entries

Extract email addresses from multiple data sources

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

Examines, analyzes, and organizes data to create relevant summaries or graphs.

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

Track the management and flow of data throughout the organization

Verifies and confirms the accuracy of an address

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

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

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

Track revisions and updates made to files and navigate between different versions

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

Import, collect, and capture data from multiple sources

Define levels of authorization for access to specific files or systems

Track and manage adherence to policies for any service, product, process, or supplier

Discover and connect variety of data sources to the application for analysis

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

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

Allows users to manage data from a number of sources

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

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

Define levels of authorization for access to specific files or systems

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

Establish guidelines about how much and what kind of data can be stored in the repository

Examines, analyzes, and organizes data to create relevant summaries or graphs.

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

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

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

Set & manage permission levels based on user roles and restrict access to only authorized individuals

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

Connect to big data sources

A record of all activities within the system, including user access, changes made, etc.

Process of checking different types of data for accuracy to avoid errors or inconsistencies

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

Data compression technique for eliminating duplicate copies of repeating data

Graphical representation of data or processes

Import, collect, and capture data from multiple sources

Import and export data to and from software applications

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

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

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

Graphical representation of data

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

Track revisions and updates made to files and navigate between different versions