In response to a latest survey, information engineers are reporting almost twice as many information incidents this 12 months as final. On common, it takes 15 hours per incident to succeed in a decision. And almost 75% of the time, enterprise stakeholders are the primary to establish information points. As information leaders know, when enterprise customers encounter information that’s lacking, misguided, or in any other case inaccurate, decision-making is compromised and belief in information erodes. 

That’s why we’re excited to announce that uniting various information group personas to collectively guarantee information high quality simply received simpler, due to a brand new integration between Monte Carlo’s information observability platform and Atlan’s energetic metadata platform. 

Collectively, these market main instruments make it attainable for firms that depend on information for a aggressive benefit to grasp and enhance information high quality, whereas making certain information shoppers have all of the context they want, inside their current workflows, to make knowledgeable choices with information.

Monte Carlo provides groups end-to-end information observability by way of automated detection, alerting, and incident decision for information high quality points. Atlan is a house for various information groups, serving as a single supply of reality that prompts metadata throughout the trendy information stack to allow new modalities of collaboration. And each platforms already present deep integrations throughout the trendy information stack, together with Slack, Snowflake, dbt, Databricks, Sigma, and Fivetran. 

Now, these two platforms work in tandem to offer information groups with enhanced visibility into key information operations and granular insights for information asset discovery and exploration. Knowledge shoppers can simply entry up-to-date details about the standard of information belongings earlier than they use them, streamlining collaboration throughout the group whereas constructing belief in information. 

How companies can leverage Monte Carlo + Atlan

With Monte Carlo and Atlan, groups can achieve an up-to-date understanding of their information well being, construct belief in information, and assist progressive new methods to method distributed information infrastructure. 

Extending visibility into information well being

Groups utilizing Monte Carlo and Atlan can now rapidly perceive the well being of particular information belongings throughout their Knowledge Property. Knowledge standing updates in Atlan about information well being are knowledgeable by Monte Carlo, and information groups can now view screens and exams created for every manufacturing desk.

“Earlier than we modernized our information stack, our information monitoring was very reactive,” mentioned Michael Weiss, Senior Director of Product Administration (NAM, Knowledge Entry and Analytics) at NASDAQ. “The pipeline would possibly succeed, however we wouldn’t know if the information was proper, flawed, or detached. With Monte Carlo and Atlan, we will catch information incidents early on, and supply everybody with clear visibility into the present standing of information accuracy. That is proving invaluable and has been crucial for the chief group to have faith we will ship on our promise of dependable, reliable information.” 

By extending visibility into information well being, information groups can work proactively to resolve points quicker and guarantee any impacted enterprise customers are conscious of potential downstream impacts.

Growing information belief and collaboration throughout the enterprise

With this new integration, information shoppers can view particulars of the newest information incidents and anomalies detected by Monte Carlo. This helps all information group personas, no matter technical skillset,  to maintain shut tabs on the reliability of any given asset, based mostly on a typical metadata management aircraft.  

“With 1,600 workers serving over 1,000 purchasers with actionable, data-driven insights, we churn by way of huge volumes of information each day,” mentioned Kenza Zanzouri, Knowledge Governance Strategist at Contentsquare. “Our inside groups are at all times targeted on creating worth with new dashboards, fashions, or information explorations, so making certain that information is dependable is crucial. With Monte Carlo and Atlan, we’ve been in a position to shift from guide checks and testing to automated information high quality protection—and make it readily obvious to enterprise customers when information belongings could also be impacted by high quality points. This helps us scale in the long run and enhance communication between departments.”

By dramatically enhancing visibility throughout information operations and streamlining communication, thereby enabling wider belief in information, information shoppers and engineers can work with information in additional environment friendly, collaborative, and progressive methods.

Enabling domain-oriented information administration

Ahead-thinking information organizations are more and more shifting to undertake distributed information architectures just like the information mesh. Monte Carlo and Atlan assist present these information groups with peace of thoughts about information reliability, which is usually a problem when belongings are owned by area groups and out there by way of self-serve entry.

“At BairesDev, we offer main companies around the globe with expertise groups on demand, and carried out an information mesh method to attain information high quality, availability, and efficiency throughout our group,” mentioned Matheus Espanhol, Knowledge Engineering Supervisor at BairesDev. “Automation is an absolute necessity to attain robust information governance throughout decentralized domains. With Monte Carlo and Atlan working in tandem, we will automate information high quality requirements whereas sustaining visibility into how every group follows international insurance policies and units native insurance policies inside the area.”

With end-to-end visibility into information well being and a centralized supply of reality, it’s now attainable for information groups to facilitate self-serve analytics with out compromising on governance and high quality requirements. 

How the combination works

With this new integration, Atlan and Monte Carlo work collectively seamlessly to centralize data and communication about information high quality. 

Knowledge incidents detected by Monte Carlo shall be surfaced in Atlan, with all of the context wanted to grasp precisely what and the place information has been impacted. When incidents are resolved, they’ll be cleared—that means a scarcity of incidents signifies all is nicely with a given asset. What’s extra, any Monte Carlo customized screens shall be recorded as native belongings in Atlan, offering the road of sight for information shoppers to the underlying information high quality framework carried out with Monte Carlo.  

By uniting a wider spectrum of information personas, Monte Carlo and Atlan allow the activation of information shopper enterprise context, such that this invaluable IP may be productionized to additional advance information belief and a deeper tradition of information high quality.

The mixing takes 5 minutes or fewer to configure, with no API use wanted, and all information is out there by way of the Atlan Chrome extension. This implies groups can entry wealthy metadata context instantly within the workflows the place they use the underlying belongings, reminiscent of Knowledge Clouds, Lakehouses, Warehouses, and well-liked Enterprise Intelligence tooling 

Get began right now

To study extra about constructing belief in information with Monte Carlo and Atlan, discover our documentation. 
Create an account-service API key

Configure the combination in 5 minutes (with interactive walkthrough)

Metadata sourced from Monte Carlo

Prepared to begin enhancing your information high quality with end-to-end information observability and cataloging? Attain out to request a Monte Carlo demo to see information observability in motion or begin a free trial with Atlan to see information collaboration work.