Compare Estated vs Splunk Enterprise

Summary

Estated allows users to access accurate property-related data. The tool relies on about 150 property data points to collect and classify properties. The tool works through an API that needs to be integrated with the user's apps and workflows. Users begin by placing inputs of property addresses using proper call type formats. Their workflows and app can then receive the returned JSON formatted data. It is possible to search based on certain areas and with specific parameters for focussed research using the bulk data solution. Users receive the returned list via email and can access unlimited custom datasets. The tool features a rich dashboard with options for API keys, usage, lookup, docs, account, and billing. Over 140 million properties' data can be accessed via this tool, which offers nationwide coverage as well. Users also have access to the historical data, and the tool collects property characteristics from all available public record sources. ..show more

Splunk Enterprise is a machine data management software that can turn data into answers with its intuitive machine learning-powered analytics tool. This software can help users harness the untapped value of data to optimize their organization and deliver excellent customer service all the time. Splunk can ingest data from various sources and turn them into meaningful business outcomes. It also uses different visualized metrics to boost search and monitor performances for a better result. Powered by Artificial Intelligence, the software renders much attention to the organization’s IT, security and business arenas. Finally, when the software is connected, it allows everyone in the organization to see insights and get a quick glimpse of the business anytime. With special machine learning and performance capabilities, Splunk Enterprise can deliver a better experience to customers. It can even assist the support and retail teams to have real-time visibility and understand their system and service statistics properly. ..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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• Tableau
• Okta

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