ibi vs SAS Visual Analytics

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

ibi Software Tool

Product Basics

Ibi by Information Builders offers cloud-based data and analytics platforms that empower users to turn their information into insights through robust visualization, reporting and data management. WebFOCUS is its primary offering. Flexible, configurable and scalable, it integrates data from many sources, simplifies data workflows and enables fast, easy organization and analysis of data. It allows users to make more confident data-driven decisions that drive business results.

As of 2020, the vendor has announced that it will be acquired by TIBCO.
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SAS Visual Analytics offers fast answers to complex questions drawn from datasets of all sizes. It provides guided exploration, interactive dashboards, smart visualizations and self-service analytics to users of all technical skill levels, promoting data literacy and visibility. Its versatile, scalable design helps users make better business decisions based on data transparency. Built on a cohesive in-memory architecture, it promotes intelligent action driven by insight.
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$1,500/User, Annually
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$8,000 Monthly
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Tailored to your specific needs
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Windows
Mac
Linux
Android
Chromebook
Windows
Mac
Linux
Android
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Cloud
On-Premise
Mobile
Cloud
On-Premise
Mobile

Product Assistance

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

Product Insights

  • Improve Data Literacy: Make data accessible to all, turning everyone into a decision-maker with a holistic overview of data. View the business as a whole through a comprehensive analytics dashboard, or drill down deeper to examine key components and drivers.
  • Highly Adaptable: Built for businesses of any size, it adapts to a broad range of skill levels, needs and expectations with ease. Choose from various plug-and-play options, which include industry-specific solutions.
  • Innovative Insights: Operationalize artificial intelligence, machine learning, natural language processing and advanced analytics to uncover significant discoveries hidden in enterprise data.
  • Embeddable: Enable teams or customers to efficiently make use of data through analytics embedded directly into their existing applications. 
  • Cloud-Based: Scale flexibly and stay current with updates through an all-in-one secure platform for the cloud.
  • Open Framework: Seamlessly connect to any database, data ecosystem or enterprise data source through the tool’s open, ubiquitous framework.
  • Free Trial: Try the cloud analytics platform for free for 14 days.
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  • Easily Create Models and Explore Data: Build models that are stable, accurate and easy to create, based on proven techniques. Interact with and prepare data for self-service analysis or visualization. Unify diverse datasets and present in an easy-to-interpret format.
  • Discover Data Relationships and Patterns: Make data relationships easy to see and understand through machine learning that visualizes narratives from the data. Identify patterns in data through algorithms and pre-defined related measures.
  • Visualize Data in Intuitive Graphics: Discover and display trends in the form of intuitive graphics, reports and dashboards, including geographical data displayed on interactive maps, making them easier to explain, share and understand.
  • Glean Data-Based Insights: Gain insights and understand the business more thoroughly by identifying patterns, trends or important points in data. Improve transparency at every level — answer specific business questions, identify pain points in workflows, highlight areas for improvement and forecast future results much more accurately.
  • Perform Guided and Augmented Analysis: Leverage a variety of augmented or automated features that facilitate the data discovery and analysis processes. Get suggestions on the best-fit graphic for a given set of data via augmented analytics. Identify potentially related groups of data based on pre-set factors through automated explanation, uncovering insights potentially missed by the naked eye.
  • Make Better Business Decisions: Make data-driven business decisions based on historical information. Glean insights from data trends and patterns and apply them to forecasting, budgeting and other business planning.
  • Share and Collaborate: Collaborate on dashboards and share them easily with internal teams, clients, management and other key groups. Add comments to reports, create alerts for report objects to notify key members when a trigger factor is met, distribute PDF reports securely and restrict access to maintain the report’s integrity.
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  • Data Preparation: Connect to, join, blend and cleanse data through streamlined, automated processes. Improve data through quality indicators, data enrichment, built-in cleansing tools and more.
  • Data Integration: Integrate information from all kinds of data sources — real-time, batch, streaming, big data, social media, mainframes and more. Retrieve structured and unstructured data from multiple sources, including databases, cloud and on-premises applications, files and spreadsheets.
  • Data Management: Easily manage information with out-of-the-box components that give a more complete, holistic perspective of an organization’s data.
  • Data Governance: Instill an organization-wide trust in data that leads to better understanding overall. Establish references and standardize processes with centralized data collaboration, data lineage support and a formalized glossary of accepted terms.
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  • Ad Hoc Reporting and Analysis: Assemble reports from data creatively in real time as opposed to relying on a predesigned template. Run queries and perform analysis on data on demand without knowing code.
  • Predictive Analysis: Make predictions about future conditions based on historical data through data mining, machine learning and predictive modeling.
  • Mobile Apps: Leverage the power of native apps on iOS, Android and Microsoft devices, with an optimized mobile interface. Interact with visualizations on the go, view previous reports, leave comments, capture screenshots and set mobile notifications.
  • Interactive Discovery: Identify outliers, clusters, relationships, trends, etc. by exploring data in a natural query-based way rather than through coding.
  • Location Analytics: Lasso data points on a map through OpenStreetmap or Esri ArcGIS to select them for analysis and then enrich demographic data through point clustering, map pins, custom polygons and more.
  • Trend Indicators: Identify which types of data to observe through built-in trend indicators that attempt to predict future movement of data points based on historical trends.
  • Visualizations: Get desired insights from data and easily discover patterns through a range of visualization options, such as bar graphs, pie charts, donut graphics, line graphs, scattergrams, heat maps, bubble maps, dot maps, needle graphics, numeric series, schedule charts, vectors, key value infographics and more.
  • Scheduled Reporting: Programmable to send reports at scheduled intervals or based on triggered events to ensure they are delivered regularly.
  • Customizable Dashboard: Access only relevant tools, visualizations and data through the customizable dashboard interface. Engage with data as well as collaborate with others on data visualizations, irrespective of technical skill levels.
  • Embedded BI: Embed the system into web applications or other software solutions for a seamless interface and direct data draw. Also, embed individual reports and dashboards using SAS SDK.
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Product Ranking

#26

among all
Business Intelligence Tools

#28

among all
Business Intelligence Tools

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Analyst Rating Summary

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Analyst Ratings for Functional Requirements Customize This Data Customize This Data

ibi
SAS Visual Analytics
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Advanced Analytics Augmented Analytics Data Management Data Pre-processing Data Transformation Data Visualization Embedded Analytics Capabilities Geospatial Visualizations And Analysis Mobile Capabilities Platform Capabilities Reporting 79 64 80 100 100 92 86 88 79 83 100 0 25 50 75 100
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Analyst Ratings for Technical Requirements Customize This Data Customize This Data

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User Sentiment Summary

Great User Sentiment 420 reviews
Great User Sentiment 137 reviews
87%
of users recommend this product

ibi has a 'great' User Satisfaction Rating of 87% when considering 420 user reviews from 4 recognized software review sites.

83%
of users recommend this product

SAS Visual Analytics has a 'great' User Satisfaction Rating of 83% when considering 137 user reviews from 5 recognized software review sites.

4.4 (156)
3.8 (11)
4.5 (170)
4.3 (33)
n/a
4.3 (38)
4.3 (63)
4.3 (10)
3.2 (31)
3.9 (45)

Awards

we're gathering data

SelectHub research analysts have evaluated SAS Visual Analytics and concluded it earns best-in-class honors for Data Pre-processing.

Data Pre-processing Award

Synopsis of User Ratings and Reviews

Support: All of the users who mentioned the vendor’s support praised their responsive, helpful support team and dedication to customer success.
Reporting: Around 96% of users who mentioned reporting said that this tool works well for report creation and scheduled distribution.
Data Visualization: About 90% of users who reviewed the tool for data visualization said that it excels in dashboard and chart creation.
Functionality: This is a robust, feature-rich tool with a great degree of flexibility and frequent updates, according to around 76% of users who reviewed the tool’s functionality.
Ease of Use: According to about 63% of users who reviewed the platform’s ease of use, its intuitive drop-and-drop interface simplifies data analysis and visualization.
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Data Analysis: Around 81% of users who reviewed its data analysis capabilities said that the tool offers out-of-the-box advanced analytics to identify patterns and relationships in business data.
Functionality: Citing its powerful in-memory technology, approximately 62% of users who reviewed functionality said that the solution provides a single, compact interface for data exploration and modeling for faster analytic computations.
Data Visualization: Around 60% of users who reviewed data visualization said that they can perform exploratory data analysis with a multitude of graphics options, such as bubble charts, line charts, dual axis charts.
Ease of Use: Approximately 54% of users who mentioned ease of using the software said that it is easy to generate reports with some basic SQL knowledge.
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User Interface: Of the users who mentioned this solution’s UI, approximately 87% said that it looks outdated, especially compared to those of competitors.
Cost: About 83% of users who reviewed it for price said that this solution is expensive, especially when considering add-on modules.
Performance: All of the users who reviewed the platform’s performance and speed mentioned bugs, lag and crashes, among other issues.
Learning Curve: It takes some time to learn this platform, according to about 60% of users who reviewed its learning curve.
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Cost: Around 80% of users who discussed the platform’s cost said that they find the pricing to be cost-prohibitive.
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Information Builders Inc. (ibi) offers a feature-rich business intelligence data and analytics platform that unlocks actionable insights and the power of decision-making for users throughout an organization. Rated highly for ease of use by most reviewers, it empowers self-service data discovery with a user-friendly UI that enables drag-and-drop data analysis and visualization; some users noted that this UI looks outdated, especially compared to those of competitors. The platform offers a wide range of prebuilt data visualizations that users can further customize if necessary. This platform excels at creating and designing reports, then distributing them either at-will or through the automated scheduling tool, as noted by a majority of users who reviewed reporting. Most notably, the platform has an outstanding support team — all of the users who reviewed its support expressed satisfaction with their proactive, responsive assistance, citing the vendor’s dedication to the success of their customers as notably apparent. Customers can tailor the platform to their needs, as its flexibility allows for customized solutions. Frequent updates add value over time, though some users remarked that these sometimes break features from older versions. Other performance issues noted in reviews include lags when performing complex queries, infrequent crashes, slow load times and issues when accessing the platform from specific devices or browsers. While easy to pick up and use, especially for the end-user, some reviewers said that there is a learning curve to master the many features of this tool — a few users noted that this learning curve lasted a few months for some team members in their organizations. Overall, ibi data and analytics is a worthy pick for self-service data visualization and reporting, especially in the hands of an organization willing to invest the resources and time to make it shine.

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SAS Analytics is a versatile business intelligence and analytics tool that empowers users to explore and understand data through interactive data visualizations. Many users who reviewed data analysis said that, coupled with the power of predictive analytics, the platform offers a plethora of graphics options — charts, graphs and dashboards — with deep-dive capabilities, such as filtering, to zero in on pertinent business data. Many users who reviewed functionality and data preparation said that, possibly because of its capable ETL engine and in-memory architecture, data processing speed is very high and reports load faster. A majority of users who reviewed data connectivity said that the tool is efficient in pulling data from multiple sources for data modeling and analysis. On the flip side, quite a few users who reviewed functionality said that the platform’s integration with Python and R is still in the development stage and this limits its functional scope. Some users who discussed user-friendliness said that the processes are not the most intuitive — errors and warnings in logs are misleading, and new users may find adoption difficult. Though the industry scope of user tutorials is limited, a majority of users said that the steep learning curve of the platform is sufficiently addressed by training. For many users, its cost-prohibitive licensing plans caused them to not consider it their first choice when it came to purchasing a BI solution. Overall, SAS Visual Analytics is a versatile tool with fast data processing capabilities and strong visualizations to generate reports for insightful data analysis.

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