Company, Product

Gartner® Recognizes Incorta in the 2022 Magic Quadrant™ for Analytics and BI Platforms

Incorta is flying to new heights this week after hitting a major milestone for our company and product — our first time being recognized by Gartner® in the 2022 Magic Quadrant™ for Analytics and BI Platforms

Incorta is entering the Magic Quadrant™ as Niche Player. That makes sense when you consider our focus on operational data analytics and the fact that Incorta is fundamentally different from every other analytics platform out there today. 

We believe that what makes the Incorta platform so unique is our approach: Incorta changes the game by directly analyzing original operational data, eliminating the need for the data reshaping and aggregation steps required by other platforms. This has a profound impact on data engineers and architects: they can slash development time, make more data available to their users, and deliver more value. It’s huge for business analysts, data scientists, and other business users too. For the first time, they can access and analyze all their usable data, with full transactional detail that is 100% identical to the source, and enjoy unmatched performance even against billions of records. 

These capabilities have never been more important than they are right now. Companies today are operating in a world where urgency and uncertainty are both at all-time highs. It’s an extremely challenging environment to navigate and it creates a surge in demand for real-time access to operational data — i.e., the data surrounding the core parts of a business that create value (finance, supply chain, manufacturing, people operations, and the like).

Take finance teams, for example: For decades, it was fine for the office of finance to report on a few key accounting metrics on a quarterly basis. Not anymore. Today, CFOs and finance teams are far more strategic, proactive, and involved in the day-to-day operations of the business. They need to be able to turn on a dime and make bold moves with conviction. Having the ability to run sophisticated, self-directed analytics in real time makes all the difference. 

While other analytics tools and platforms claim to enable fast, agile, self-service analytics, in reality it’s a “devil in the details” type of situation. If you define the speed of analytics in terms of how fast a query can run, then there’s no shortage of tools that can deliver real-time analytics. But queries are just one part of the workflow — they are the “last mile” of the data’s journey from source to screen. Focusing on query speed alone disregards all of the data preparation work that must happen beforehand in these traditional systems — moving data from one system to the next, aggregating and reshaping the data so it all fits together, cleansing the data, etc — i.e., the hardest, slowest, and most obstructive parts of the entire process.

With Incorta, time to insight is a true measure of how quickly you go from raw data to analytical insight because our platform lets you run analytics directly against raw data as it appears within source systems. You aren’t constantly moving data between systems or left sacrificing the fidelity and trustworthiness of the data in the name of analytical performance. You are doing the opposite: moving the analytics to the data instead of the other way around. More specifically, you are working on a digital twin of the data with real-time refresh rates – that way your production systems aren’t being crushed by queries.

What happens when companies simplify their data pipeline by directly analyzing incoming data “as-is” with Incorta? They reap a host of benefits, including newfound agility, unprecedented data fidelity, best-in-class data governance and security, and a single source of truth. That’s why our customers — many of which are category leading companies that already have many other tools and platforms — find so much value in Incorta.

Here at Incorta, we believe there is a fundamentally better paradigm for analytics, aligned with emerging data mesh principles, that provides compelling benefits to the business. How long will it take the rest of the analytics industry to catch up? Time will tell. 

Until then, here’s a link to the full report, which you can download courtesy of Incorta.

 

Gartner disclaimer

Gartner 2022 Magic Quadrant™ for Analytics and BI Platforms, Analyst(s): Austin Kronz, Kurt Schlegel, Julian Sun, David Pidsley, Anirudh Ganeshan, 22 March 2022.
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