Structure

Thank you for taking the time to contribute to our survey on needs and concerns around data analytics. The information we gather helps provide us all with a unique view on this emerging world and the role of information professionals in it.

DEFINITION: For our purposes, "data analytics" refers to projects that incorporate large datasets, analysed through technology that surfaces insights and results that would be difficult or impossible to reach manually. We tend to refer to projects that rely at least in part on third-party data.

The survey is 13 questions on 4 screens and should take less than 15 minutes to complete.

The questions on this page gather information about structure supporting analytics.

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* 1. We consider "ownership" to mean the stakeholder or department responsible for setting strategy and policy around a topic. Within your organisation, where does ownership for data analytics sit?

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* 2. What types of analytics projects, if any, has your organisation undertaken?

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* 3. What role, if any, does your department have in supporting analytics?

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* 4. Please rate your agreement with the following statements.

  1 - completely disagree 2 3 4 - completely agree
The right parts of our business are working together to develop and support analytics projects.
Our team is actively developing new knowledge and skills to support analytics.
Our team is appropriately involved with analytics projects.
My organisation takes a strategic approach to applying analytics to business problems.
We participated in more analytics projects in 2017 than in 2016.
Our team is confident in the role we need to play in a data-focused future.
Stakeholders in our business understand when and how to bring us into analytics projects.
My organisation has a clear strategy around analytics.
I expect we will participate in more analytics projects in 2018 than we did in 2017.

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