Panoply vs IBM Watson Analytics

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Our analysts compared Panoply vs IBM Watson Analytics based on data from our 400+ point analysis of Business Analytics Tools, user reviews and our own crowdsourced data from our free software selection platform.

Panoply Software Tool
IBM Watson Analytics Software Tool

Product Basics

Panoply is a fully-integrated data management platform that syncs, stores, organizes and analyzes data from many sources. It enables the use of search query language to explore data, then analyze and visualize it through its robust integration capabilities.

Accessible anywhere via the cloud, it combines data warehousing, AI-powered data processing and a variety of integrations to provide a user-friendly data analysis infrastructure.
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IBM Watson Analytics is a software platform that leverages artificial intelligence and machine learning to empower businesses with data-driven insights for improved decision-making. It caters to businesses of all sizes and across various industries seeking to enhance their competitive edge. Benefits include optimized decision-making, increased productivity, cost reduction, and improved customer satisfaction. Popular features encompass predictive and prescriptive analytics, natural language processing, and data visualization. Pricing is determined on a per-user basis, taking into account the number of users, features utilized, and the chosen subscription plan. User experiences suggest that IBM Watson Analytics offers a user-friendly interface and robust capabilities, making it a valuable tool for businesses seeking to harness the power of data analytics. However, it's recommended to explore alternative options and consider factors such as pricing, features, and user reviews to determine the best fit for your specific business needs.

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$199 Annually
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Tailored to your specific needs
$500 Monthly
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Tailored to your specific needs
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On-Premise
Mobile
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Product Assistance

Documentation
In Person
Live Online
Videos
Webinars
Documentation
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Live Online
Videos
Webinars
Email
Phone
Chat
FAQ
Forum
Knowledge Base
24/7 Live Support
Email
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Chat
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24/7 Live Support

Product Insights

  • Connect Data in a Single Source: Draws data from over 100 sources including CRM products, eCommerce sites, APIs, databases and an organization’s intranet. Extensible to integrate with 200 additional data sources via its ETL partner network. Handles all aspects of data collection and data warehouse management.
  • Simplify Data Processes: Analyze data code-free with its user-friendly interface and speedy set up, irrespective of technical skill levels. No need to resize and analyze via standard SQL.
  • Gain Visibility: Gain insight into the data pipeline and improve data literacy across the whole operation by reducing silos. Make the analytics process accessible without relying on data scientists.
  • Automate Data Analysis: Keep data up-to-date with automated data ingestion and schema reindexing set on a predetermined schedule. Improves query speeds by reducing data-engineering maintenance tasks like vacuuming through AI and automatically optimizes data storage based on recorded usage. 
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  • Enrich Data Interactions: Reduced reaction times give users nearly instantaneous access to data. The solution can be trained to prioritize common requests in order to optimize future interactions with users. 
  • Apply and Discover Data: Speedy data discovery helps process millions of data points in a timely manner to get on with the work that matters most. 
  • Anticipate and Prevent Disruptions: Identify potential issues in workflows that can cause long-lasting damage to an organization using AI and pattern identification. 
  • Detect and Mitigate Risks: Security measures like role-based access, single sign-on and advanced learning combine to create a secure system that protects data from theft and leakage. Train the solution to adapt to and follow the latest privacy regulations to preemptively discover compliance breaches. 
  • Democratize Access and Use: Foster data literacy throughout the organization by utilizing employee knowledge combined with industry teachings and empower the whole workforce through AI-augmented learning. 
  • Customize and Teach the System: It learns as it is used to adapt to individual user’s needs and habits through AI, NLP and machine learning. 
  • Gain a Competitive Advantage: Using the data already available to an organization, managers can predict the shape of future trends that will affect their business. It also positions businesses to remain agile in the face of changes. 
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  • Data Cleansing and Querying: Retrieves information quickly and efficiently by performing data queries against a local database. Detects, corrects and removes inaccurate data points from the database based on user parameters to cleanse and prepare it for analysis.
  • Data Encryption: Encodes data in a cipher to make it more difficult to hack or leak. Decrypts and offers users access to data via encryption key, ensuring data security for any industry. Restrict information to authorized employees through role-based access and table-level control.
  • High Volume Processing and Storage: Process big data sets quickly, structuring and cleansing data for analysis. Perform data management tasks such as archiving, retention, management and secure storage.
  • Natural Language Processing: Query using natural language searches to retrieve insights. Teach the platform to return more relevant results over time using NLP through artificial intelligence.
  • Replicate Databases: Replicates relational databases such as MySQL, Redshift, BigQuery and more. Ingests and structures a variety of data types including CSV, XLS, TSV, JSON and server files into tables for smooth processing.
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  • Watson Discovery: Watson Discovery, IBM’s advanced AI, offers smart document understanding that lets users visually label text in documents and incorporate structured understanding. 
  • Simplified Predictive Analysis: Automated analysis techniques simplify the roles analysts must play in the data analytics process. Build advanced predictive models with the bare minimum requirements. 
  • Dashboards: Customizable dashboards let users interact with data in real time, as well as collaborate on visualizations. 
  • Speech to Text: Converts spoken words to text as well as written text to audio. 
  • Image Analysis: Analyze visual content such as video or images through machine learning capabilities. 
  • One-Click Visualization: Data discovery and analysis via visualization are accessible with single-click exploration. 
  • Natural Language Processing: Users can perform queries in plain English, and the system will carry on a natural language dialogue to facilitate intuitive searches. 
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Product Ranking

#63

among all
Business Analytics Tools

#22

among all
Business Analytics Tools

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User Sentiment Summary

Great User Sentiment 104 reviews
Great User Sentiment 291 reviews
88%
of users recommend this product

Panoply has a 'great' User Satisfaction Rating of 88% when considering 104 user reviews from 5 recognized software review sites.

84%
of users recommend this product

IBM Watson Analytics has a 'great' User Satisfaction Rating of 84% when considering 291 user reviews from 3 recognized software review sites.

4.6 (50)
4.1 (141)
4.05 (21)
n/a
4.0 (20)
n/a
5.0 (8)
4.4 (89)
4.5 (5)
4.1 (61)

Synopsis of User Ratings and Reviews

Deployment: All users who reviewed implementation said that the software is easy to set up.
Data Analysis: All users who mentioned its analytic capabilities said that, coupled with the power of AI, the tool helps deliver game-changing business insights.
Data Connectivity: Approximately 90% of users who discussed data connectivity said that the tool integrates smoothly with data sources and business applications.
Support: Vendor support, as well as the online user community, is excellent and responsive, according to around 87% of users who reviewed them.
Functionality: Approximately 55% of users who reviewed functionality said that the platform is robust and versatile, with a zero-maintenance ETL system.
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User-Friendly Interface: It has an advanced, intuitive and user-friendly interface, as noted by 61% of reviewers who mention user-interface.
Integration: Around 70% of the users referring to integration state that it enables easy integration with various technologies and data sources.
Implementation: It has a quick and straightforward implementation process, as observed by 89% of reviewers who specify implementation.
Customizable Reports: All the users specifying reports state that it provides highly customizable reporting capabilities.
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Hard to Use: Around 50% of users who reviewed the interface said that it is not very user-friendly and needs additional features.
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Learning Curve: It has a steep learning curve for beginners, as noted by 50% of the users referring to the learning curve.
Customer Support: Over 60% of reviewers who mention customer support specify that customer support responses often get delayed.
Slow Performance: Some of its functions and features work slowly at times, as stated by 71% of the users who observe performance.
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Panoply is a unified data warehouse solution that enables automated data analytics by giving users greater visibility into data pipeline processes and trend forecasting. The solution is easy to deploy, requiring minimal technical skills, as said by all users who reviewed ease of implementation. All users who mentioned its AI-powered analytic capabilities said that, with effective ETL querying, the tool combines data from a multitude of sources to provide game-changing business insights. A majority of users who reviewed functionality said that, with a strong ETL engine, the platform is versatile and delivers maximum performance, though some users said that its features are not as ubiquitous as other data management tools. On the flip side, 50% of users who discussed the interface said that it is not very user-friendly and needs more features. Some users said that, since the platform has limited report generation functionality, they are forced to export data to third-party tools to enhance visualizations. Quite a few users who reviewed its pricing said that a good amount of necessary third-party integrations add to the overall cost. In summary, Panoply is a smart data analytics solution that automates data collection and querying, giving management clearer insight into the data analytics process for better decision making, though it might not be a good fit for companies with more complex data structures.

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IBM Watson is an open and multi-cloud platform that helps users automate their AI lifecycle and create powerful models. It is easy to implement and ensures a smooth customer experience through its advanced, intuitive and user-friendly interface. It offers comprehensive integration and reporting capabilities for achieving greater insights. Many reviewers have noted that it works slowly sometimes, affecting overall performance. Also, delayed responses from its customer service team and steep learning curve for beginners can be tedious.

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