NEDAPS

NEDAPS is a business analytics tool designed to help companies analyze and understand their data, with the aim of making informed decisions and driving business growth. According to the vendor, NEDAPS is suitable for companies of all sizes, from small startups to large enterprises, and is utilized by professionals in various industries such as business analysis, data science, marketing, finance, and retail.

Key Features

Data Visualization: NEDAPS provides data visualization capabilities that allow users to create interactive charts, graphs, and dashboards to visually represent their data. Users have the option to customize the visualizations by selecting from a variety of chart types, colors, and formatting options. According to the vendor, the visualizations can be shared with others, facilitating the communication of insights and findings.

Data Exploration: NEDAPS enables users to explore their data in depth by allowing them to drill down into specific dimensions and metrics in order to identify patterns and trends. Users can apply filters, sorting, and grouping options to manipulate and analyze the data from different perspectives. The tool also supports advanced data exploration techniques such as data slicing and dicing, pivot tables, and ad-hoc queries, as claimed by the vendor.

Data Integration: According to the vendor, NEDAPS allows users to connect and integrate data from various sources, including databases, spreadsheets, cloud storage, and third-party applications. The tool supports data extraction, transformation, and loading (ETL) processes, enabling users to cleanse and transform data before analysis. Users can schedule automated data imports and updates to ensure that their analyses are based on the most up-to-date information.

Data Modeling: NEDAPS provides a range of data modeling capabilities, allowing users to create and manage data models that reflect their business logic and requirements. Users can define relationships between different data entities, create calculated fields, and apply advanced data modeling techniques such as hierarchies and aggregations. The vendor states that the tool supports both relational and multidimensional data models, providing users with flexibility in structuring and analyzing their data.