Introduction to Data Preparation Tools
Data preparation tools are used for discovering, enriching, processing, refining, blending, as well as transforming the data. These tools are important for the integration and analysis of huge datasets with the help of advanced business intelligence. Data preparation tools are used by professional data analysts, analytics leaders, data scientists, BI directors, IT departments, and ordinary business owners.
List of Data Preparation Tools
These tools help to efficiently integrate data from various sources at one time.
1. Alteryx
Alteryx is the most popular self-service data preparation and analytics software. Alteryx provides unique and efficient data preparation, blending and analyzing functionality in one place. It uses repeatable workflow to generate deployable analytics and shares the derived analytics, which gives deeper data insights in few hours.
It does cleansing of data from data spreadsheets, data warehouses, cloud applications and many other sources. First, it integrates the data and then conducts a statistical predictive and spatial analysis without writing any other code. Thus, it provides scalable analytics, which improves overall functionality.
2. Microsoft Power BI
Microsoft Power BI is a business analytics software for visualizing and analyzing data and sharing insights. It offers business monitoring for informed and quick decision making with the help of easy to use real-time dashboards. Microsoft Power BI helps users to turn the data into amazing visuals that can be shared on various devices with team members. It enables both on-site and cloud visual exploration and analysis of the data.
Users can collaborate with interactive data reports on reports and share custom Dashboards. It comes with built-in security and control features which can be distributed across your company. It has a built-in real-time and interactive user interface for data visualization, which helps you create business insights. It takes just minutes, not hours, to create exclusive apps that can be connected to the data. It also offers workflow automation directly to the app without any coding.
3. DataMeer
DataMeer is a Data preparation platform based on Saas. Datameer cleanses data by identifying duplicates, outliers, and inconsistent values and Filtering missing values, blanks, nulls. It also uses the formula builder for advanced patterns in the datasets. It also helps to blend structured data with unstructured data easily. It has a union feature which appends datasets to each other without a cardinality.
It has various features for data transformations Column splitting, Statistical grouping, Column and row pivoting, Advanced text parsing, Path construction, if and comparison functions, as well as Time, Date, and text manipulation functions. Datameer also has great analysis features like Path analysis, Graph analytics, Clustering, Statistical functions, Correlations, Text mining, Decision trees, etc.
4. Trifacta
Trifacta has widely used data wrangling software that enhances data analysis process efficiency or makes use of new data sources to execute analytics initiatives. Trifacta is an innovative platform that allows both individuals and organisations to discover, transform, and integrate data from various sources for analysis more efficiently. In addition, it offers to discover new data structures, cleansing, validating, and publishing data for analysis.
Trifacta has a suite named ‘data wrangling’ tools in three different types: Trifacta Wrangler, Wrangler Edge, and Wrangler Enterprise. These other iterations also offer data discovery, cleaning, structuring, and validation functionalities in an advanced way. The Predictive Transformation features let users to set definitions for data transformations. It helps the Integration of data into Cloud Data Warehouse efficiently. It also improves the quality, speed, and agility of reporting and analytics of data.
5. SAP
SAP is an agile data preparation tool that provides data migration, accurate analytics, and master data management (MDM) initiatives. SAP is a self-service data preparation tool that provides a facility of on-site and on cloud deployment. It enhances the usefulness and quality of data by discovering and sharing data from various sources. In addition, SAP offers fast insights by speedily importing multiple data from any source and allowing the program to direct you through ways of cleaning, discovering, and merging data.
It provides data curation for much better data analysis by Preparing datasets with an interactive interface and by recommending fixes for duplicate, incomplete, and inaccurate data. It has a great feature like One-click data action, which helps for Preparing the data without any technical scripting knowledge. Users can just Apply various actions like a filter, merge, aggregate, append, and many other defined formulas in a few clicks SAP offers Automatic deduplication and cleansing of data. It automatically Cleanses and deduplicates data on the basis of various content types like name, address, firm, e-mail address, contact, details, etc.
6. Talend
Talend is also a widely used Data Preparation tool that uses machine learning algorithms to explore, clean, standardization, pattern recognition, reconciliation, etc. This tool provides automated suggestions to guide users through the process of data preparation. In addition, Talend offers governance through masking rules, role-based access, data curation on the basis of workflow. Users may also share preparations and databases, or integrate data preparations into the batch, bulk, and live data.
Conclusion
In this article, we have seen various Data preparation tools for efficiently discover, transform, and combine diverse data for better analysis.
Recommended Articles
This is a guide to Data Preparation Tools. Here we discuss the introduction and list of data preparation tools, respectively. You may also have a look at the following articles to learn more –
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