What problems with self-serve analytics have you dealt with?

Data & Analytics End-User Services & Collaboration

Lack of adherence to data governance23%

Users lack necessary skills48%

Data security issues55%

Poor tool selection30%

Increased fragmentation and data silos24%

Lack of scalability13%

Unable to balance cost and value generation13%

Resistance to change or poor change management9%

Unable to measure ROI8%

Other1%

106 PARTICIPANTS

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VP of Data in Healthcare and Biotecha year ago

I selected "Other". We simply struggle to make analytical data "self-serviceable". If I were an analyst, I would struggle. We try to treat data as a product, leverage a data catalog, provide personal coaching or instruction, create company specific data training. While I do think it's getting better, data can be frustratingly complex. Even if you can write basic SQL queries, knowing where to look and how to join highly normalized tables is a challenge. I'd love to hear comments and/or recommendations from those of you who are further along the journey.

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Considering your current FinOps or Cloud Financial Management practice , at which maturity level below do you would rate ? maturity may consider how established an organisation is based on team/unit collaborations, level of automation, clear roles & governance on financial management to execute well on planning budget/expense cloud, visibility and reporting, allocation of cost through showback/chargeback, optimization spend with cost avoidance and rate reduction, effective measurement with kpis on spend vs budget or cloud business value.

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