Gartner Blog Network

Svetlana Sicular
Research VP
6 years at Gartner
23 years IT industry

Svetlana Sicular is passionate about bringing analytics to domain experts and helping organizations successfully compete by applying their business acumen in analytics and data science. She is convinced that domain expertise and high-value data are the greatest assets that companies should monetize in new analytics applications. Read Full Bio

And the 2017 Cool Vendors Are…

by Svetlana Sicular  |  June 1, 2017

This is the time of our Cool Vendors season finale — the reports showcasing fascinating technologies and breakthrough ideas are out. The season usually starts in January, when analysts submit the names of vendors that impressed them the most.  It is purely an analyst choice whether to submit and what. The criteria by which a […]

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Hadoop is dead, long live Hadoop!

by Svetlana Sicular  |  September 29, 2016

This year, we are celebrating the 10th anniversary of Hadoop. In 2006, we lived in the dark ages of data: Several databases were old news and a single Gartner analyst was covering them all. Today, a whole team of Gartner database analysts could barely handle all the new options. In summer 2009, baby-elephant Hadoop made its […]

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Centaur Intelligence: Half-Human, Half Machine

by Svetlana Sicular  |  September 20, 2016

I call the symbiosis of a man and a machine Centaur Intelligence, in which the head is always human: people do at what they excel — curiosity, creativity and compassion. And machines do their best too: learn at scale, crunch data and answer questions lightning fast. Machine answers require a human interpretation to turn correlations […]

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Balancing Data and Analytics Governance

by Svetlana Sicular  |  April 26, 2016

If you hear someone saying “D&A” it is not “DNA.” D&A stands for “Data and Analytics.” (Not “Depreciation and Amortization” or “Drug and Alcohol.”) The term “Information” has been confusing for years, it led to many information-interpretation debates:  what’s the difference between data and information? is information about analytics? how do we manage information if we […]

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A Secret Sauce of Data Governance

by Svetlana Sicular  |  February 28, 2016

When Gartner clients ask me how to start data governance, they often expect some magic solution. And they are right — such magic exists: it’s the people. Find others — SMEs, executives, business stakeholders — who deal with data at their own in capacity, and talk to them. Ask them what keeps them up at […]

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Who Owns the Data?

by Svetlana Sicular  |  February 17, 2016

The greatest meaning of “big” in “big data” is the role of data in the digital economy. The question who owns the data is big too. With IoT and cloud, data ownership will matter soon even to those who don’t care now. And there is no universal answer — data ownership is culture-specific. In some cases, nobody […]

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Data and Analytics at Catalyst Conference: Get Oriented Now!

by Svetlana Sicular  |  August 8, 2015

Catalyst conference starts tomorrow. Our track is Building a Sustainable Data and Analytics Architecture for the Digital World, and in addition, there are more talks on data and analytics in other tracks. I’d like to help you get oriented before Catalyst starts by telling you which analyst specialize on what topics, and what talks are […]

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Catalyst Makes You Look Smart: Big Data Analytics for Non-Data Citizens

by Svetlana Sicular  |  July 24, 2015

Analytics is exploding — it is becoming everybody’s domain, rather than an expert’s domain. The digital economy requires to expand your existing expertise with new knowledge. The digital economy is begetting citizen-data scientists along with citizen-developers and citizen-not-my-job people. Things are getting mixed up in the digital whirlwind: Amazon is now worth more than Walmart, […]

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Big Data Is Pregnant with Analytics

by Svetlana Sicular  |  June 23, 2015

We are at the interesting point: big data time is over. It is now big data analytics time. Many organizations are at the point when they have figured out how to get data in Hadoop (or other big data stores), but not — how to get the data out and derive value from it. These […]

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Two Main Questions about Big Data

by Svetlana Sicular  |  April 16, 2015

More and more people describe the speed of big data technologies in dog years. In the lightning-fast cadence (“fail fast”), considerations for actual technical professionals who are deploying big data solutions fall into cracks. Vendors look at abstract “customers.” Big data ecosystem talks about “data scientists.” A new term “data engineer” is bubbling to the […]

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