Self-service Business Intelligence Tools: Gartner Magic Quadrant Innovators Exposed – For more than 10 years, Gartner has published its 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 demonstrated strong performance and capabilities in the Leaders quadrant. Tableau has always been highly rated and Microsoft has done a great job of putting itself ahead of Tableau. Not only as a result of the rapid development cycle and the constant introduction of new functions, but also by updating the basic criteria of the Magic Quadrant every year.
Below I will review Gartner’s definition and market overview, key domain competencies, evaluation criteria and summarize the strengths and cautions of the following vendors:
Self-service Business Intelligence Tools: Gartner Magic Quadrant Innovators Exposed
Get a full copy of the Gartner Reprint on the Tableau page: https://qbq.li/GMQ23Tab. Registration is required to access the report.
Gartner Magic Quadrant 2023. Qlik Vs Power Bi Vs Tableau
The Analytics and Business Intelligence (ABI) platform enables less technical users, including entrepreneurs, to model, analyze, search, share and manage data, and to collaborate and share findings. IT and augmented by artificial intelligence (AI).
The presence of major ERP and CRM cloud application providers is also a driver for considering the choice of an ABI platform. On the other hand, cloud mining creates inevitable concerns about shutdowns and unexpected costs in the data and analytics portfolio. On the other hand, cloud service providers recognize the importance of openness in the software architecture and the increasing importance of the “multicloud” approach, which allows organizations to run applications on, and across, multiple cloud offerings such as Databricks and Snowflake.
According to the Gartner ABI platform, there are the following 12 capabilities, which have been updated to reflect areas of market change, differentiation and customer demand:
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Gartner removed three key capabilities from its evaluation criteria: security, natural language generation (NLG; converted to data analytics) and cloud analytics (which will be considered as a go-to-market strategy). . And one of the security measures, regarding authorization (for example, number-based security) has been moved to business reporting capabilities.
Tableau’s products are primarily focused on visual search that allows business users to access, organize, analyze and present the results in their data. CRM Analytics, formerly Tableau CRM, provides additional analytics capabilities for analysts and citizen data scientists. In 2022, Tableau leveraged its growing customer vision to provide insights related to deeper integration with the Salesforce Data Cloud.
Microsoft’s first ABI platform, Power BI, has a large market share and speed through Microsoft 365, Azure and Teams integration, low cost, above-average performance and roadmap the ambitious product.
Google Cloud’s Looker is a cloud-based ABI platform that offers highly controlled analytics, including visualizations and dashboards, and the first semantic modeling layer based on LookML. Looker’s developer-focused analytics platform provides a version-controlled and collaborative framework to build internal BI and enable customers to build applications.
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SAP Analytics Cloud is a cloud-native multitenant platform with extensive capabilities for data visualization, reporting and advanced analytics. It integrates analytics and business planning to build an end-to-end process from vision to business action. The low-code and high-code capabilities of analytics applications offer composable analytics applications for the enterprise sector. It has improved data integration and modeling capabilities, especially using the SAP database and application environment.
Qlik’s first product is Qlik Sense Enterprise SaaS, which includes Qlik Sense, Qlik AutoML and Qlik Application Automation. Qlik is a cloud-agnostic vendor and has top partnerships with each of the top three cloud service providers (AWS, Microsoft and Google), along with partnerships with Databricks and Snowflake. Yesterday, Gartner released its 2018 Magic Quadrant for Business Intelligence. . MQ research for BI has been around for a decade. This is the document for buyers of Business Intelligence technology.
Looking at the price point, it doesn’t seem like much has changed…BUT, if you look closely, you’ll see that one of the biggest changes in the history of the Magic Quadrant has just happened…
For the first time in 3 years, Gartner dropped a large number of vendors from its pitch. There were 24 sellers in the company quadrant in 2016 and 2017. This year, the Magic Quadrant only had 20 sellers… that’s a 16% decrease. Did the market go down?!
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Not that: the market has evolved….and in a very predictable way. Take a look at the 3-year activity analysis chart below: we see a consistent story, e.g. the bosses are getting bigger, some of the visionaries have been distracted (or disappeared) and few ‘trendsetters’ have graduated. More precisely:
You’ll find copies of the Magic Quadrant on some vendors’ websites and we’re sure your team is looking forward to flipping through the 60+ pages. But, before they do that, we recommend that they direct their attention to some of the “planning considerations” highlighted on the first page of the document. Special:
We believe Gartner has an important theme here: Business Intelligence is about Business Value. “Self-service BI”, the trend that led the industry to grow by 60% YOY in 2015 had an unexpected side effect: companies bought a lot of BI tools. Some carried weight. Some did not. The result: in 2017 the market grew by just 10% and Gartner now expects it to grow by 8% until 2021.
This Magic Quadrant is due to be released on Feb 16 according to Gartner’s website. We can only guess that the reason it took an extra week is because of the drastic new changes that happened this year.
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Some of the biggest players in the technology industry were excluded from this year’s report: Google (NASDAQ: GOOGL ) and Amazon (NASDAQ: AMZN ) are starting to build a growing influence in the space . They all have the ability to think. Surprisingly, they are only mentioned a few times during the report: Amazon is mentioned 8 times. Google was mentioned only 4 times…
It is difficult to look back at the past three years and accurately predict what the next three years will look like. However, we hope that the 3-year activity analysis table will help you make better choices for your organization. In addition to the table, here are some additional ideas:
Now, as we explained in the MQ analysis webinar (recording available here), remember that conditions change over time. The move is one component of many things: the vendor’s expertise but also Gartner’s annual approach.
Reference: Gartner, Inc., “Magic Quadrant for Analytics and Business Intelligence Platforms,” by Cindi Howson, Rita L. Sallam, James Laurence Richardson, Joao Tapadinhas, Carlie J. Idoine, Alys Woodward, February 26, 2018 .
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Cuadrante Magico De Gartner Feb2021
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What Is Self Service Business Intelligence (self Service Bi)?
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