Gartner Releases 2022 Magic Quadrant for Analytics and Business Intelligence Platforms; Incorta named ‘Niche player’

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Gartner recently released their 2022 Magic Quadrant for Analytics and Business Intelligence Platforms report. As the ultimate reference document for business intelligence technology enthusiasts and buyers, this report provides a comprehensive overview of the industry, as well as growing trends and vendors that stand out in the market.

An unbiased snapshot of the analytics and business intelligence landscape

According to Gartner, “The analytics and business intelligence (ABI), data science and machine learning (DSML), and cloud data and analytics (D&A) markets continue to converge, often in the form of intelligent composable applications for customers. Vendors are being pushed to improve their analytics capabilities while helping their customers balance control and agility as their platforms are scalable for multi-person users, advanced analytics capabilities, diverse data and emerging use cases.”

Another key trend highlighted in the report involves no-code/low-code automation workflows and applications, which many companies are adopting so that they can provide contextualized insights and reports, as opposed to unstructured data sets.

ABI platforms are also beginning to capture information related to demographics, interests, and user behavior to provide customers with more impactful, personalized experiences. As ABI tools are further integrated with productivity tools, especially where user behavior can be easily tracked, this trend is predicted to continue well into the near future.

Inclusion criteria

Each year, Gartner adjusts its evaluation and inclusion criteria for Magic Quadrants as the technology market evolves. In this year’s Magic Quadrant, Gartner examined the strengths and weaknesses of 20 providers and charted the vendors based on the categories they fell into: niche players, challengers, visionaries, or leaders.

To be eligible for inclusion in this Magic Quadrant, suppliers must meet both of the following criteria:

Offer a widely available software product that aligns with Gartner’s definition of an ABI platform: “Analysis and business intelligence platforms enable less technical users, including business people, to model, analyze, explore, share and manage data, and work and share findings, powered by IT. and supplemented with AI. It may optionally include the ability to create, modify, or enrich a semantic model, including business rules.” Rank in the top 20 organizations in the market momentum index defined by Gartner.

Incorta recognized as “Niche Player”

Incorta stands out for its groundbreaking methods to tackle today’s most complex data challenges. Founded in 2014 by former Oracle executives, Incorta is an end-to-end data and analytics platform that requires minimal IT involvement and delivers data directly to users without relying on legacy processes such as data warehousing. It is essentially a multi-layered business intelligence software, integrating database, data extraction, data modeling and data visualization in a single tool.

This year, Incorta was recognized for the first time in the Magic Quadrant for Analytics and Business Intelligence Platforms report. Incorta excels at meeting the ABI needs of organizations using a particular cloud stack. Key strengths highlighted in the report include:

Time to Insight: Direct data mapping (DDM) functionality helps reduce time to insight by eliminating some data modeling tasks that would otherwise have to be built manually. End-to-end data and ABI capabilities: Users with limited technical expertise can easily access data from multiple applications, databases, and files with ease. Packaged business content: Incorta provides packaged analytics applications for various systems such as NetSuite, Salesforce, and Oracle E-Business Suite (EBS).

“Recognition by Gartner is a testament to our customers who use our product every day to drive operational excellence in their business,” said Scott Jones, CEO of Incorta. “Incorta’s unique approach is modernizing the way organizations think about their analytics capabilities and data pipelines, enabling them to unlock the full potential of their data, make more informed decisions and increase revenue.”

The future is bright for operational analytics

Following the aftershock of the pandemic, an undeniable shift is underway, shifting the focus away from time-consuming and costly data analytics efforts, and instead shine a light on companies that can create real, tangible value through data. As the market continues to move in a multi-cloud direction, the need to traverse data anytime, anywhere is becoming a top priority for business leaders. But to maintain their competitive advantage, companies must also realize that data quality expectations have also never been higher.

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