Gartner Magic Quadrant For Business Intelligence And Analytics Platforms
The Gartner Magic Quadrant is a research methodology and visualization tool that provides a graphical representation of a market's direction, maturity, and participants. It was first introduced in the late 1990s and has since become a standard reference for industry professionals, investors, and customers researching various technology markets. The Gartner Magic Quadrant for Business Intelligence and Analytics Platforms is one of the most popular reports in this series and is a must-read for anyone interested in the field.
What Is Business Intelligence And Analytics?
Business Intelligence (BI) and Analytics refer to the processes, technologies, and tools used to collect, integrate, analyze, and present business data. The goal is to help organizations make informed decisions based on insights gained from the data. BI and Analytics platforms provide a comprehensive view of a company's operations, customers, and competitors, allowing decision-makers to identify trends, patterns, and issues that affect their business performance.
What Is The Gartner Magic Quadrant?
The Gartner Magic Quadrant is a research methodology that assesses technology providers across two dimensions: Ability to Execute and Completeness of Vision. The former measures a company's ability to deliver on its promises and meet customer expectations, while the latter evaluates its strategy, innovation, and market understanding. Based on the scores, companies are positioned in one of four quadrants: Leaders, Challengers, Visionaries, or Niche Players.
What Are The Criteria For Inclusion?
The Gartner Magic Quadrant for Business Intelligence and Analytics Platforms evaluates vendors that provide end-to-end platforms that support a broad range of BI and Analytics use cases, including reporting, dashboards, data discovery, and advanced analytics. To be included in the report, vendors must meet the following criteria:
- Provide a comprehensive set of BI and Analytics capabilities
- Be recognized as a significant player in the market
- Have a broad customer base and strong financials
- Demonstrate a strong product roadmap and vision for the future
What Are The Key Findings?
The 2021 Gartner Magic Quadrant for Business Intelligence and Analytics Platforms has some interesting findings that are worth highlighting:
- The market continues to shift toward cloud-based platforms, with more than 50% of new deployments being cloud-based.
- Augmented Analytics, which uses machine learning and natural language processing to automate data preparation, insight discovery, and sharing, is becoming a critical capability for organizations.
- The COVID-19 pandemic has accelerated the adoption of self-service analytics as more employees work remotely and require access to data and insights from anywhere.
- Open-source platforms, such as Apache Superset and Metabase, are gaining popularity among organizations looking for cost-effective and flexible solutions.
- Consolidation is happening in the market, with larger vendors acquiring smaller ones to expand their capabilities and customer base.
Who Are The Leaders?
The 2021 Gartner Magic Quadrant for Business Intelligence and Analytics Platforms identifies the following vendors as leaders:
- Microsoft
- Tableau (now part of Salesforce)
- Qlik
- ThoughtSpot
- SAS
- Alteryx
- IBM
- Oracle
- Sisense
- TIBCO Software
These vendors are recognized for their ability to execute and completeness of vision, as well as their strong presence in the market and broad customer base. They offer a wide range of capabilities, from traditional reporting and analytics to advanced features such as augmented analytics, machine learning, and natural language processing.
What Does It Mean For Customers?
For customers, the Gartner Magic Quadrant for Business Intelligence and Analytics Platforms is a valuable resource for evaluating vendors and selecting a platform that meets their needs. The report provides an objective and independent assessment of the market, based on rigorous research and analysis, and helps customers make informed decisions.
However, customers should not rely solely on the Magic Quadrant to make a decision. They should also consider their specific use cases, data sources, integration requirements, and budget. They should also evaluate the vendor's product roadmap, customer support, and user community. Finally, they should conduct proof-of-concept tests to ensure that the platform can deliver the expected results.
Conclusion
The Gartner Magic Quadrant for Business Intelligence and Analytics Platforms is a valuable resource for anyone interested in this field. It provides a comprehensive view of the market, identifies the leaders and challengers, and highlights the key trends and challenges. However, customers should use this report as a starting point for their research and evaluation, and not as a definitive guide. They should consider their specific needs and requirements, and evaluate multiple vendors before making a decision.
