Matrix Business Intelligence Software

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Matrix Business Intelligence Software – For more than 10 years Gartner has been releasing its famous Magic Quadrant for analytics and business intelligence platforms, and 2023 is no exception. Both Salesforce’s Tableau and Microsoft’s Power BI have consistently demonstrated strong performance and strong capabilities in the Leader quadrant over the years. Tableau has always received high marks and Microsoft has done a great job of keeping itself ahead of Tableau. Not only as a result of faster development cycles and the regular addition of new functionality, but also through the redefinition of criteria underlying these annual Magic Quadrants.

Below I summarize Gartner’s market definition and overview, key platform capabilities, evaluation criteria, and the following vendor strengths and caveats:

Matrix Business Intelligence Software

Matrix Business Intelligence Software

Get your full copy of the Gartner Reprint via Tableau’s page: Registration is required to access the report.

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Analytics and Business Intelligence (ABI) platforms enable low-tech users, including business people, to model, analyze, explore, share and manage data, and collaborate and share results enabled by IT and augmented by artificial intelligence (AI).

The presence of major cloud ERP and CRM application providers also influences ABI platform selection considerations. On the one hand, cloud-based sourcing creates inevitable concerns about lock-in and unexpected costs of data and analytics portfolios. On the other hand, cloud service providers recognize the importance of openness in their software stack and the growing importance of a “multicloud” approach, whereby organizations run applications on and across multiple cloud offerings such as Databricks and Snowflake.

One might expect, especially in the Netherlands, that one vendor – Microsoft – dominates the market in terms of user adoption. Microsoft Power BI is growing exponentially, fueled primarily by bundling this product with Office 365 (at the E5 license level) at a significantly lower price and ease of installation through the Windows Store. However, like platform openness and portability, these should not be the only considerations for choosing an ABI platform, as below shows a review of the strengths and weaknesses of selected vendors.

According to Gartner, the ABI platform functionality includes the following 12 core capabilities, which have been updated to reflect market changes, differentiation and customer demand areas:

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Gartner removed three critical capabilities from its evaluation criteria: security, natural language generation (NLG; involved in telling data stories) and cloud analytics (which will be considered a go-to-market strategy going forward). And a security subcriteria regarding authorization granularity (for example, queue-based security), has been moved to enterprise reporting capabilities.

Tableau’s products focus primarily on visualization-based inquiry that enables business users to access, prepare, analyze and present their data. CRM Analytics, formerly Tableau CRM, provides advanced analytics capabilities for analysts and citizen data scientists. In 2022, Tableau leverages its enhanced consumer vision to deliver relevant insights with deep integration with Salesforce Data Cloud.

Microsoft’s primary ABI platform delivers massive reach and speed to market through Power BI, Microsoft 365, Azure and Teams integration, flexible pricing, above-average functionality and an ambitious product roadmap.

Matrix Business Intelligence Software

Google Cloud’s Looker is a cloud-architected ABI platform that provides highly controlled analytics with self-service visualizations and dashboards, and a code-first semantic modeling layer based on LookML. Looker’s developer-centric analytics platform provides a version-controlled, collaborative framework for building internal BI and enabling customers to build applications.

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SAP Analytics Cloud is a cloud-native multitenant platform with a comprehensive set of capabilities for data visualization, reporting and augmented analytics. It integrates analytics and enterprise planning to build end-to-end processes from insights to business operations. The analytics application’s low-code and advanced coding capabilities provide scalable analytics applications for the business sector. It has enhanced data integration and modeling capabilities, especially to take advantage of the full context of the SAP data and application ecosystem.

Qlik’s primary product is Qlik Sense Enterprise SaaS, which includes Qlik Sense, Qlik AutoML, and Qlik Application Automation. Qlik is a cloud-agnostic vendor and has partnerships with Databricks and Snowflake as well as top-level partnerships with each of the three primary cloud service providers (AWS, Microsoft, and Google). Choosing the right BI tool is difficult. A good BI tool should be accessible and friendly to your end-users who are often non-analysts or non-technical business users. It should be able to answer your specific use case and analytical needs.

Recognizing this challenge, the DataTier and Chartio community created a BI assessment matrix for everyone to use. Full credit goes to Adam Roderick for sharing this with the DBT community

Even if the team updates it, this BI matrix can be 100% up to date with the current state of said BI tools.

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That being said, this is a good starting point despite the plethora of BI tools on the market.

The purpose of this comparison matrix is ​​to give you a framework for evaluating BI tools. Different companies have different analytics setups, use cases and levels of data literacy – so you should make a copy and make it your own.

BI Evaluation Matrix – Updated by the Datateer and Chartio community, this how-to worksheet gives you a framework for evaluating the tool, everyone’s criteria will be different, so make a copy and make it your own, or add comments and edit suggestions Make this sheet – light work with many hands! Color coding is a combination of importance and features…Google Docs

Matrix Business Intelligence Software

Positioned as an alternative to Looker and Tableau for modern data teams, Astrato is an analytics and visualization layer on top of Snowflake Cloud. Every time you interact with and filter your visualization, the Astrato Data Engine creates an SQL query and visualizes the results instantly across all your data.

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ActionDesk is a spreadsheet interface that connects to your SaaS and the databases you already use so you can create dashboards and generate reports without manually importing data.

A self-service BI platform. In addition, analysts create and maintain analytical logic at the semantic modeling level. Non-technical users analyze and create their own charts without writing SQL. All made controllable and maintainable with Git version control.

Comes with powerful self-service functionality – including domestic time comparison, drill down, embedded analytics, shareable links and custom data alerts. It incorporates DevOps best practices in analytics, including modeling and query language, DBT integration, and Git version control.

Powered by the open source Apache Superset, Preset is a lightweight data visualization and exploration platform. Users can explore data with the no-code builder or run in-depth analysis with the SQL editor.

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B.I. PI is an embedded BI tool – designed for users/real estate + MLS stakeholders or any company using embedded analytics.

Beep is a modern BI tool that comes with a data modeling layer to centralize business logic and a visualization layer to explore data for everyone.

Canvas is a data exploration tool that allows teams to create dashboards without a fully managed data stack Canvas connects to Stripe, QuickBooks, Segment, HubSpot, and 150 other apps and lets you build dashboards and answer questions without setting up and maintaining a data warehouse.

Matrix Business Intelligence Software

Looker is an innovative BI with a unique approach to business intelligence. Looker has its own proprietary modeling language called LookML, it also provides a data modeling layer that is reusable and maintainable and a wide range of visualization options. Looker also offers a variety of data tools that can help you get the most out of your analytics, including ML models deployed on your dataset. For example, BigQuery ML models, including classification, regression, and time series forecasting models, are available in the Looker Marketplace.

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Despite its functionality and feature-packed features, Looker may leave mid-sized companies behind due to its hefty price tag.

Qmool is an embedded analytics platform that allows non-technical users to create interactive dashboards with a drag-n-drop report builder.

Xplo is an embedded analytics solution. It comes with embedded dashboards, shareable links and white-label portals for customer-facing analytics needs.

Domo Business Cloud is a low-code data platform that combines self-service analytics, data sharing and embedded analytics, interactive reporting and data apps in one place.

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GoodData is a BI and data analytics platform built with open APIs to build real-time dashboards and no-code/low-code analytics applications. It provides self-service reporting, a semantic layer, declarative metadata, React, and a Python SDK for rapid development.

Helica Insights is an open source BI, providing standard BI functionality such as embedding, self-service reporting, canned reports or data delivery via email.

Izenda was acquired by InsightSoftware and rebranded as Logi Analytics It provides an embedded analytics solution suitable for enterprises.

Matrix Business Intelligence Software

This allows you to answer your ad-hoc data queries In “General Query” mode, you can filter, summarize and visualize data If you have more complex questions, you can choose a “custom question” that powers you

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Mode is a collaborative data platform that combines SQL, R, Python and visual analytics in one place. Users can also set schedules to share updated reports via email and Slack. Other features include collaborative data editing, interactive charts, white-label embeds, and more.

Observable is a collaborative data platform built for data scientists and developers. It offers users a shared ability to work together and create complex graphs, charts and other visual representations of data.

PanIntelligence is a low-code embedded analytics solution for SaaS

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