Compare Wdata vs Iteratively

Summary

Wdata is a data, documents, and team consolidation tool built by Workiva for organizations. It helps their finance teams to gather, prepare, and interpret large datasets from cloud or any other platform. All the information is centralized, enabling users to search, connect, and add context. This connected data is completely traceable and auditable from the source system to the final report. Users can allow access to the data to anyone and also keep its control and transparency. IT professionals can enable self-service data preparation without compromising its control and governance. Analysts can unify and explore disparate datasets, conduct data transformations, and leverage refined tooling for a more meaningful analysis. Teams can ensure consistent and quality information for their existing reporting and compliance efforts, by accessing the connected data. Wdata also enables users to connect and simplify updates, pivot and drill down for more details, view data trends, and create interactive charts. These features help to improve efficiency, provide better transparency, and reduce the risk to the organizations. ..show more

Iteratively software is a platform used to manage analytics with quality data. The software offers data security and privacy to stay compliant for data governance. Collaborate with your team and track with CI and unit testing integration. It integrates with Amplitude, Mixpanel, and more. Developers, Small and Medium companies make use of the software. ..show more

Customer Data Helps in recording, accessing and managing customer information

Data Analysis Helps in analyzing stored raw data and converting them into useful reports

Data Capture Helps in gathering and extracting data from documents and transforming them into computer-readable form

Data Integration Helps in collecting and combining data from multiple data sources and offer them in a unified manner to the user

Data Migration Facilitates transferring or shifting data between computer storage types and or file formats

Data Quality Control Helps in monitoring the quality of data input and processed

Data Security Ensures secure storage of data by encryption

Information Governance Allows adopting a holistic approach to govern or manage the corporate data

Master Data Management Enables an organization to manage and integrate all of its critical corporate to a centralized point of reference

Match & Merge Helps matching data across multiple sources and to merge them for offering a better view to the data managers

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• Mixpanel
• Heap
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• Segment
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• Amplitude

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