Companies produce, collect and manage massive amounts of data

Recently in TechBullion, Anodot’s CEO, David Drai, addressed the question, ‘Why Every Company Needs DataOps’ With DevOps, IT was finally recognized as the strategic advantage that the business needed to beat the pants off their competition. Companies now deploy code tens, hundreds or even thousands of times per day, while still delivering unsurpassed stability, reliability and security.

DevOps isn’t foolproof

Drai expands by saying: “I can cite hundreds of major and expensive incidents that even DevOps couldn’t protect businesses from facing.” More and more, organizations have come to the realization that DevOps is just a part of the solution for maintaining reliable business performance.

Where does DevOps Fall Short?

While DevOps plays a key role in minimizing the friction between development and production, BI teams see a similar struggle with between backroom and front room developers. The challenge is in closing the gap between these two areas. Drai wrote, “Devops understands monitoring without a holistic understanding of the business and its granular data.  On the other end of the spectrum are BI and data teams that do have a nuanced understanding of business data, but are lacking in tools for around-the-clock monitoring and alerting to abnormal behavior of the data.”

What is DataOps?

Companies rely on data from a variety of different sources, helping them to gain a better understanding of customers, products, and markets.

Explained Drai, “an entirely new role is needed: DataOps.  Because of the dynamic nature of data and the constant new services, partnerships, and products entering the market every quarter, the DataOps role is ongoing and should comprehensively understand and use the proper tools to monitor the ebb and flow of company data including business anomalies, trend changes, changes in predictions, etc.”

Why not traditional BI role? How does DataOps differ?

The skills gap will not be found in traditional BI strategies. The DataOps role will fill growing gap by working with data across the organization and uncovered a better ways to develop and deliver analytics.

“As the focus of DataOps is to monitor and understand all company data, there is a strong existing link between this role and existing company roles like BI analysts and data engineers,” Drai emphasized, “Each role is unique enough to stand on its own, and all three should be reporting to a Chief Data Officer, a position that is becoming increasingly prevalent in data-driven companies.”

Next Step

See the full article on TechBullion: From DevOps to DataOps : Why Every Company Needs DataOps


Written by Anodot

Anodot leads in Autonomous Business Monitoring, offering real-time incident detection and innovative cloud cost management solutions with a primary focus on partnerships and MSP collaboration. Our machine learning platform not only identifies business incidents promptly but also optimizes cloud resources, reducing waste. By reducing alert noise by up to 95 percent and slashing time to detection by as much as 80 percent, Anodot has helped customers recover millions in time and revenue.

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