Overview of Flatly

Data filtering is a software feature that allows users to refine and sort through large sets of data based on specific criteria or parameters. It is a powerful tool that helps to streamline data analysis and eliminates the need for manual sorting and sifting through large amounts of information. With data filtering, users can select specific data points or categories to include or exclude from their analysis. This enables them to focus solely on relevant data and quickly identify patterns or trends. For instance, a user working with a large sales database

API integration is a feature that allows different software systems, platforms, or applications to seamlessly communicate with each other. It enables the exchange of data, functionality, and services between them, providing a more comprehensive and efficient solution for users. API, or Application Programming Interface, acts as a bridge between two or more software systems, essentially enabling them to "talk" to each other. This integration makes it possible for businesses to connect and synchronize various applications, automating tasks and workflows and streamlining processes.

Match & Merge is a powerful software feature that allows users to merge and combine data from multiple sources into one comprehensive file. This feature is designed to save time and increase efficiency by eliminating the need to manually transfer data between different documents or spreadsheets. With Match & Merge, users can easily match and merge data based on specific criteria, such as matching names, IDs, or other unique identifiers. The software leverages intelligent algorithms to identify and match similar data, ensuring accuracy and precision in the merging process

Master Data Management (MDM) is a comprehensive approach to organizing and managing an organization's critical data assets. It is a set of processes and technologies that enables businesses to create, maintain, and synchronize a single, consistent view of all master data across the enterprise. At its core, MDM is all about ensuring data consistency, accuracy, and accessibility across different systems, departments, and processes. It involves collecting and consolidating data from multiple sources, cleansing and standardizing it, and then creating

Compliance. It’s a daunting task for most compliance administrators. It’s also one of the most important components as to why you are regulated. You cannot comply without tracking your regulated items and monitoring that they are in place and working. The practice of arranging and tracking compliance-related data and actions to ensure that no detail is overlooked is known as compliance tracking. Compliance tracking may help you stay up to date when rules and standards change, as well as better understand how to plan for future projects, resources, and deadlines.

Data integration is a crucial feature in modern software that allows businesses to combine data from multiple sources seamlessly. It is the process of collecting, organizing, and combining data from various systems, databases, and applications, to provide a unified and comprehensive view of the data. This feature is an essential component of data management and analysis as it enables organizations to make informed decisions by gaining valuable insights from vast amounts of data. With data integration, businesses can eliminate data silos and create a single source of truth for

Cleaning, converting, and modeling data to discover relevant information for business decision-making is what data analysis is all about. Data analysis is the process of extracting usable information from data and making decisions based on that knowledge. When we decide our daily lives, we think about what happened the last time or if we make that particular option. This is nothing more than looking backward or forwards in time and making conclusions based on that information. We do so through recalling past events or dreaming about the future. So, data analysis is all there is to it. Data analysis is the name given to the same thing that an analyst conducts for business purposes.

Version control, often known as source control, tracks and manages changes to digital asset management software code. Version control systems are software development teams' go-to solutions for tracking source code changes over time. As development environments have become more rapid, version control solutions assist software teams in operating more quickly and intelligently. In a particular database, version control keeps track of every change in the code. If a mistake is made, developers can go back in and compare prior versions to help repair the problem while causing the least disruption to the rest of the team.