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Top 10 Augmented Analytics Platforms and Software to Use in 2022 – Crypto News Flash


The top augmented analytics platforms and software use AI and ML to generate insights

The augmented analytics platforms and software use artificial intelligence and machine learning to prepare data, produce insights, and add context to data exploration and analysis. Data scientists, businesses, and organizations can use augmented analytics software to undertake sophisticated data preparation to better understand enormous amounts of data throughout an organization.

The future of data and analytics, which is the next major disruption in the data business, is augmented analytics. It will represent a commanding driver in the field of analytics in the future. Experts in analytics and data science should be prepared to use the top augmented analytics platforms. Today, a massive amount of data is produced every day from many sources. After the strategies in question have been determined to be clear, a model or algorithm must then be built, and the model must then be evaluated. In this article, we discuss the leading augmented analytics platforms for 2022.



Domo transforms business by making data accessible to anyone. By going beyond conventional business intelligence and analytics, Domo’s low-code data app platform enables anybody to build data applications to drive any activity in their company, exactly where work gets done.



With Tableau, an integrated business intelligence (BI) and analytics solution, you can acquire, produce, and analyze company data and insightful information. Users using Tableau can gather information from a variety of sources, including spreadsheets, SQL databases, Salesforce, and cloud applications.


3.Microsoft Power BI

Power BI is a business analytics tool that enables you to share insights across your organization, display data, and integrate insights into apps and websites. Connect to countless data sources and use live dashboards and reports to bring your data to life, swiftly make well-informed decisions. Your data may be connected, modeled, and then explored using visual reports that you can generate, publish, and share.



AnswerRocket provides a data analytics platform with search functionality geared toward business users. You can use the software to ask business-related inquiries in everyday language and generate reports and analyses without any technological expertise. AI and machine learning are combined with powerful analytical capabilities in AnswerRocket. The technology can also speedily respond to ad hoc queries and automate tedious activities. AnswerRocket has native voice recognition and is mobile-friendly.


5.IBM Cognos Analytics

Under two separate product lines, IBM provides a broad range of BI and analytic capabilities. Users of the Cognos Analytics platform can access data to build dashboards and reports because it is an integrated self-service solution. Incorporating automated pattern recognition, support for natural language query and generation, and embedded advanced analytics capabilities, IBM Watson Analytics provides a machine learning-enabled user experience. Both on-premises and as a hosted solution through the IBM Cloud, IBM’s BI software is available for deployment.


6.Oracle Analytics Cloud

Modern, AI-focused self-service analytics solutions for data preparation, visualization, enterprise reporting, enhanced analysis, and natural language processing/generation are available through Oracle Analytics Cloud. There is a mobile BI companion app that also picks up on your interests. Analytics Cloud dashboards compile information from various sources and platforms so that consumers may interact with it through one interface.


7.Pyramid Analytics

Pyramid Analytics’ flagship platform, Pyramid v2020, provides data and analytics tools. The system boasts a multi-user, server-based analytics OS environment with self-service features. With the platform-neutral architecture of Pyramid v2020, users can manage data in any environment, regardless of technology. These users can prepare, model, visualize, analyze, publish, and present data from mobile devices and web browsers using the tool.


8.Qlik Sense

The company’s flagship product, Qlik Sense, is just one of the many BI and analytics solutions that Qlik offers. Organizations can merge all of their data sources into a single perspective thanks to the service. Users of the Qlik Analytics Platform can create, expand, and integrate visual analytics into already-existing applications and portals. Functionality that is embedded is carried out within a unified framework for governance and security. Simple mashups can be created by users and embedded in other applications, information services, or IoT platforms.


9.The Salesforce Einstein Analytics

Depending on the position, sector, and features that are offered, there are various variants of the Salesforce Einstein Analytics platform. Users can respond to inquiries using the product’s automatic data-finding capabilities that leverage clear and intelligible AI algorithms. Users can also modify analytics to fit their use case and strengthen findings with exact advice and detailed direction. With the aid of third-party apps, configurable dashboards, and customizable themes.


10.SAP Analytics Cloud

The enterprise and business-user-driven editions of SAP’s BI and analytics solutions are both extremely comprehensive. The main BI portfolio of the company is made available through on-premises and cloud installations built on top of the SAP HANA Cloud. Additionally, SAP provides a range of conventional BI features for reporting and dashboards.

The post Top 10 Augmented Analytics Platforms and Software to Use in 2022 appeared first on Analytics Insight.



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