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Data Centers in 2021Data Centers in 2021

Have your data center priorities changed? Benchmark where you’re at with data centers against your peers.

If you had a magic wand - what's the #1 daily business challenge you'd eliminate?

Top Answer: Without a doubt - Technical Debt! It's a ball and chain that creates an ever increasing drag on any organization, stifles innovation, and prevents transformation.

If you are a current SAP customer, when do you plan to migrate to SAP S/4HANA?

Top Answer: No plan to migrate soon.

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Thinking about deep machine learning, how ready is your data (cleaned, prepped and labeled) for compute-heavy data models?

Top Answer: Probably depends on age and size of business. Ours has divisions over 100 years old or acquired less than 2 years ago. We struggle with data quality even within a division. Note that our smallest is probably 25,000 employees and largest 40,000. Total company 130k people, 15 major ERPs and probably 20 minor ERPs. We still have debates on Customer address and shipping fields sometimes during consolidations. My estimate 35% of the data we would like to use is ready

What’s the most challenging part of business intelligence (BI) or data warehouse implementation?

Top Answer: The most challenging part is that every user wants everything immediately. Every technology in today's world has to be data-driven, so the biggest challenge we’ve had to solve is real-time data availability. When we were thinking about how to make this possible, we did not want to invest because real-time data involves a lot of information exchange between the source and the target system. If something fails, then you have to put in a lot of manual effort to correct that information. Then whatever productive work you had planned for that day goes out the window, because business as usual (BAU) becomes more important. So defining the architecture and the kind of KPIs that you’ll need at the starting point is essential. If those aspects are not taken care of well, we’ll have to do a lot of reworking. We cannot go to the source over and over again, because our production systems are built for transactions, not for analysis and reporting; the data warehousing systems are built for that. If we have not done the base architecturing work correctly, it will require a lot of maintenance. To solve this issue, we have invested in change data capture (CDC) tools that help us move the data on a real-time basis. We have also automated many things, which helps reduce the manual effort needed.

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Data Lake vs. Data Warehouse - what strategy is working at your organization?

Top Answer: Data Warehouse has been working for us over the years. Data Lake is something that I am interested in implementing down the road.

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Cloud Infrastructure Strategy in 2021Cloud Infrastructure Strategy in 2021

This survey focuses on the pain points driving the decisions for Cloud Infrastructure and the overall approach towards it.

What are your thoughts on SaaS management platforms (SMP)?

Top Answer:

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What do organizations get wrong when it comes to data lifecycle management?

Top Answer: The way we’ve produced consolidated reporting is all the data gets dumped into Snowflake, and then you try to find connections. It's less of a data warehouse and more of a dumping ground. Maybe we could try to create consolidated reporting and then try to figure out the data integrity issues. That's one area that I think we are hoping to modernize at ZoomInfo. In a way it's just an evolution that’s part of any startup story, they're growing too fast. It's a great opportunity to bring in that rigor so that we can scale to the growth, streamline and hopefully optimize all of the operations, systems, and technology. We need to have data lifecycle management, otherwise we'll just keep collecting it all.

Where do you think your organization needs the most help in the Cloud related technologies / solutions?

Top Answer: These votes are interesting. While initially "Cloud native development" was leading in comparison with "Cloud migration", currently it looks like (at 88 votes), "Cloud migration" is leading and the Cloud native development has lagged.   Does that mean Organizations are yet to migrate many of their workloads to Cloud yet (at the end of 2021), and Cloud native development takes a backseat in the priorities overall?