What is the biggest inhibitor to data-driven culture?

Data & Analytics People & Leadership

Risk aversion (overly stringent data governance)5%

Low data literacy across org43%

Low business literacy in data teams23%

Low maturity of D&A function (technical limitations)19%

Adversarial relationships between teams4%

Poorly defined data strategy6%

Something else1%

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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?

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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How do you think AI will disrupt business across industries? Add to my list: 1. Content creation 2. Photos and video production 3. Basic coding and debugging 4. Strategic analysis to be highly complimented

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Do you believe Semantics and how we use language, more important or less important than ethics? in the world of AI and is semantics relevant? Is meaning more important than understanding?

What will be the effects of AI on meaningful work?

Mostly Replacing18%

Managing the Machine65%

Minding the Machine62%

Amplifying- Productivity Boost37%

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