What has prevented you from going “all in” on cloud databases at your organization?

Cloud Data & Analytics

Price33%

Security47%

Compatibility50%

Scalability20%

Lack of multicloud offerings16%

None of the Above7%

All of the Above3%

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Head of IT and Security in Finance (non-banking)4 years ago

Add to it compliance and regulations

3

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What are the biggest technical challenges preventing organizations from being able to use their existing data to enable digital transformation?

Finding data and putting it to good use13%

Controlling the security and privacy of data45%

Understanding how data is currently being used20%

All of the above19%

None of the above1%

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What's your most indispensable cloud infrastructure tools to use in addition to what you get from GCP, AWS, Azure?

HashiCorp (Terraform, Vault, Packer, etc.)22%

Cloud infra automation (Ansible, Puppet, Chef, etc.)56%

APM (Datadog, AppD, SignalFX, NewRelic, etc.)10%

Others?10%

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We use Microsoft PowerBI extensively at the company. Over 15,000 reports.
For our "corporate" reports, like financials or HR, we centralize those requests and attend them with my team.
We currently "extract" information from multiple systems (ie. SAP, SuccessFactors, CRM, etc...) and put in into a SQL Analysis Services. For interpreting the data we have a Semantics model in PBI.
The problem I see is we can't scale enough to comply with the reporting demands as the semantic model is "unique" and we end up having only one or two developers that can work at a time.
Anyone has an idea how to scale their PBI teams without having to redevelop the semantic model per report?

Does someone have advice on how they have balanced the risk/reward as it relates to introducing Open-Source Software to organization? My org is dipping its toe into the OSS world and the architecture and risk governance teams are looking to get ahead of these requests by coming up with policies and standards for OSS technology being brought into our environment. To clarify, this is not for software development and CI/CD pipelines, SDLC etc. This is for installing solutions that already exist out there (Zabbix, GreyLog, Prometheus etc.) into the organization's environment. We are looking to provide a balance on the obvious risk with the ability to move fast (like everyone else now).

Which vendor solutions are being considered to "read, identify and redact information" in unstructured data sets? I'm specifically looking at solutions that can mask / redact or hide content within documents, that allow documents to be consumed but certain piece of information to be hidden.

What has prevented you from going “all in” on cloud databases at your organization? | Gartner Peer Community