BUSINESS INTELLIGENCE

Domo Positioned as a Challenger in the 2022 Gartner® Quadrant™

Domo | April 01, 2022

Domo
Domo was awarded a Challenger in Gartner's Magic Quadrant for Analytics and Business Intelligence (BI) Platforms for 2022 today.

Gartner Magic Quadrants are the conclusion of Gartner analysts' research in various technology markets, providing technology purchasers with a broad picture of the market's rivals' relative positions and how they perform in comparison to Gartner's opinion. Because of its completeness of vision and capacity to execute, Domo has been selected to the challenger quadrant for the second time.

According to Gartner1, “Today’s analytics and BI platforms are augmented throughout and enable users to compose low/no-code workflows and applications. Cloud ecosystems and alignment with digital workplace tools are key selection factors.”

“Domo challenges the status quo of traditional BI, where the use of data is limited to a fraction of an organization. Through data apps built on our platform, Domo puts data to work for everyone at all levels of an organization right where work gets done. Data apps break the traditional BI model because they combine data with workflow, packaged into an experience that can be put right at the point where work gets done, or embedded within software applications used inside a company, or external to the company by customers and partners.”

John Mellor, chief executive officer at Domo

Mellor added, “Our data apps and platform enhancements unveiled this week at Domopalooza 2022 showcase how we accelerate digital transformation across all areas of business and how we continue to focus our investments in delivering customer value.”

Domo has a 94 percent recommendation rating in the analytics and BI platforms area of Gartner Peer InsightsTM as of the 24th March 2022, based on 72 customer reviews in the last 12 months.

Spotlight

In simple terms, a data scientist’s job is to analyze data for actionable insights. Data scientists spend most of the time on data cleaning, making the data ready for the models and the cool algorithms finding the hidden patterns. Much time is also spent in writing documentation regarding your “discoveries” and delivering the final product. For instance, a data scientist spend 2 weeks analyzing a data set and now it is time to present the results to a business audience.In this infographic, we list 8 tasks data scientists do on a daily basis.


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Synopsys | June 03, 2022

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Spotlight

In simple terms, a data scientist’s job is to analyze data for actionable insights. Data scientists spend most of the time on data cleaning, making the data ready for the models and the cool algorithms finding the hidden patterns. Much time is also spent in writing documentation regarding your “discoveries” and delivering the final product. For instance, a data scientist spend 2 weeks analyzing a data set and now it is time to present the results to a business audience.In this infographic, we list 8 tasks data scientists do on a daily basis.

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