Self-service Business Intelligence Tools: Gartner Magic Quadrant’s Developing Yard

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Self-service Business Intelligence Tools: Gartner Magic Quadrant’s Developing Yard – As Visionary as 1-2-3 For the third year in a row, Yellowfin has been named a Visionary in the 2022 Gartner® Magic Quadrant™ for Analytics and Business Intelligence Platforms.

Yellowfin is the only enterprise with integrated analytics suite that successfully combines action-based dashboards, automated business monitoring and data storytelling in one integrated, seamless platform.

Self-service Business Intelligence Tools: Gartner Magic Quadrant’s Developing Yard

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Self Service Analytics: The Future Of Data & Bi Powered By Ai

Change from a legacy or BI reporting solution to a modern dataset and analytics that business users will love.

Increase user adoption by giving users the data experience they want – and enabling all stakeholders to engage and collaborate on data.

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See Top 10 Analytics & Business Intelligence Trends For 2023

Gartner [Magic Dial for Analytics and Business Intelligence Platforms], [Austin Kronz, Kurt Schlegel, Julian Sun, David Pidsley, Anirudh Ganeshan], [March 22, 2022]

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Get the latest Yellowfin news as well as timely information on data, analytics, AI, integrated BI and beyond. Featuring everything from tips on how to use Yellowfin more effectively to the inside scoop on what new product features have been dropped, The Y-Files is without a doubt the place for BI lovers. For over 10 years Gartner has published their famous Magic Quadrant for Analytics and Business Intelligence Platforms and 2023 is no exception. Over the years, Salesforce’s Tableau and Microsoft’s Power BI have consistently shown strong performance and strong capabilities in the Leaders quadrant. Tableau has always scored high and Microsoft has done an excellent job of positioning itself in front of Tableau. Not only the result of the fast development cycle and adding new functionality regularly, but also through the redefinition of the criteria behind these magic dials every year.

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Below, I’ll summarize Gartner’s Definition and Market Insights, Critical Platform Capabilities, Evaluation Criteria and summarize the Strengths and Cautions of these vendors:

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

Analytics and business intelligence platforms (ABIs) allow less technical 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 is also an influence in considering ABI platform selection. On the one hand, cloud-led sourcing creates inevitable concerns about closure and unforeseen costs of data files and analysis. On the other, cloud service providers accept the importance of openness in their software stack and the growing importance of “multicloud” approaches, where organizations run applications in, and through, multiple cloud offerings such as Databricks and Snowflake.

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

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

Gartner removed three critical capabilities from their evaluation criteria: security, natural language generation (NLG; rolled into data storytelling) and cloud analytics (which will be considered a go-to-market strategy). And one of the security sub-criteria, on the granularity of authorization (eg, range-based security) has moved to the ability of corporate reporting.

Tableau’s products focus primarily on visual-based exploration that enables business users to access, prepare, analyze and present results from data. CRM Analytics, formerly Tableau CRM, provides enhanced analytics capabilities for citizen analysts and data scientists. In 2022, Tableau strengthened its augmented consumer vision to provide contextualized information and deeper integration with Salesforce Data Cloud.

Magic Quadrant For Analytics & Business Intelligence Platforms

Microsoft’s flagship ABI platform, Power BI, has a large market and momentum through Microsoft 365, Azure and Teams integration, flexible pricing, above-average functionality, and an ambitious product plan.

Google Cloud’s Looker is a cloud architecture ABI platform that offers highly governed analytics, including self-service visualizations and dashboards, and a semantic code modeling layer based on LookML. Looker’s developer-focused analytics platform provides a version-controlled collaborative framework for building both internal BI and empowering customers to build their applications.

SAP Analytics Cloud is a native multitenant platform with a wide range of capabilities through data visualization, reporting and leveraged analysis. It unifies analytics and enterprise planning to build end-to-end processes from insights to business actions. The low-code and advanced coding capabilities of analytics applications offer composable analytics applications across lines of business. It improves data integration and modeling capabilities, especially by leveraging the full context of the SAP data and application ecosystem.

Qlik’s main product is Qlik Sense Enterprise SaaS, which includes Qlik Sense, Qlik AutoML and Qlik Application Automation. Qlik is cloud vendor agnostic and has the highest level of partnerships for each of the three major cloud service providers (AWS, Microsoft and Google), as well as partnerships with Databricks and Snowflake. It’s that time of year (where the hell have 12 months gone!) where Gartner announces the latest version of their Magic Quadrant for business intelligence tools, or this year what they call “Modern Analytics and BI Platforms”.

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I’m always interested in which vendor hit my inbox with a link to the magic dial first, this year it was the SiSense team, but Qlik was a mere 1 hour and 10 minutes later.

So following my previous years approach, SiSense are the winners and you can find your copy of the Gartner 2019 Magic Quadrant for Analytics and Business Intelligence Platforms on their website here:

Can I also congratulate SiSense for only asking me for an MVP number in question to receive the report, well done!.

If you’re interested in comparing the changes, check out my blog post on last years Magic Dial here:

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So the big legacy suite players are moving down and to the left and the new players are moving to the top right. No surprise there.

And we see new players expanding their product footprint through acquisitions or new product modules. Tableau Data Prep and Qliks’ acquisition of Podium are two recent examples.

If history repeats itself, we should start to see the big suite players start acquiring the right top companies, pretending they want to integrate these features into their suites, but these products and features will disappear over time making one wonder if they really buy these companies. clear the competition and give customers less choice.

Last year I blogged that Gartner said Augmented Intelligence and Natural Language were the new black. This year is almost the same view:

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“As disruptive as visual-based data discovery has been to traditional BI, a third wave of disruption has emerged in the form of augmented analytics, with machine learning (ML) generating insights into increasingly vast amounts of data. Augmented analytics also includes natural language processing (NLP) as a way to query data and generate narratives to explain drivers and graphics. Marketers who have leveraged analytics as a differentiator are better able to command premium prices for their products.

They put a 2020 target on what they start to readily adopt, what I’ve seen is a lot of vendor posters about these things, but very little market adoption (in New Zealand at least). Companies like Trifacta and Waterline Data have Augmented Intelligence at their core by recommending to the user what they can do next based on their data profile and the global wisdom of the crowd they’ve made with similar data. And no doubt, there are many startups in “discretionary” mode that seem to be the new black that will be launched

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