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Q1. Thinking about your current role, what do you use data analytics for?
a. Sharing and collaborating on data, to improve the quality of the service provided to UK citizens.b. Reducing staff workload across the organisation.c. Regulatory compliance reporting.d. Understanding and visualising complex, multiple datasets to give us better insights.e. To help our staff make better-informed decisions and improve their delivery of certain services
Q2. How ‘data literate’ (Corporate data literacy is both the ability of a company workforce to read, analyse and utilise data for decisions, and communicate with data throughout the organisation and using that data knowledge in decision making throughout the organisation) would you say your organisation is?
a. We are very data literate and have already used data knowledge in decision making throughout our organisation.b. Fairly data literate.c. Don’t know.d. Not very data literate.e. Not data literate at all.
Q3. How much has your organisation invested in data analytics projects, business intelligence tools or similar initiatives?
a. A significant amount, through large IT projects.b. A fair amount, through data analytics projects as part of our BAU activities.c. A little, we have local autonomy and have deployed small data analytics projects.d. Not much, we are still discovering what data analytics can help us with.e. None.f. I don’t know.
Q4. What have been the effects of austerity on your ability to use data? (TICK ALL THAT APPLY)
a. Austerity has meant we rely more on the quality of data we generate and analyse.b. Austerity has reduced our ability to analyse and make use of data.c. Austerity has forced us to focus on data and improved our decision-making.d. Austerity has prevented us from rolling out data-driven initiatives.e. Austerity has had no noticeable effect on our analysis and handling of data.
Q5. In terms of data governance and data literacy, what is holding your organisation back from bringing siloed data sets together for analysis?
a. Fear of data loss or a breach.b. Security concerns.c. Lack of technical expertise.d. Lack of data expertise/ employees at all levels throughout the business are not confident to analyse and interpret datae. Lack of project management expertise/ lack of senior supportf. Budget.g. Lack of infrastructure / processes to carry this task out.h. A lack of confidence to undertake this kind of project.i. Process is too complex.j. GDPR concerns.
Q6. How data literate do you feel your frontline staff are to extract insights/value from the data they use each day?
a. Confident, well-trained and empowered to make discoveries in their data.b. Competent and want to learn more.c. Not confident, not sure how to interpret data insights.d. Under-trained and scared of too much data.e. I am not sure.
Q7. How would you characterise what data-driven initiatives have achieved in your department? (TICK ALL THAT APPLY)
a. Has allowed a better management of demand, capacity and capability.b. Has improved the visibility of data that affects process, people and systems.c. Has saved staff time and allowed more proactivity.d. Has allowed staff to be better informed, make better decisions and be more effective.e. Overall, has increased productivity.f. Overall, has increased the transparency and confidence in the organisation.g. Has increased staff’s confidence in working with the insights they see in our data.h. Has increased our department’s value including gross margin, return-on-assets, return-on-equity or achieved significant cost savings.i. Has allowed staff to collaborate more with other team members.j. Has not had any clear benefit but we expect to see some.k. Has not had any clear benefit, and we don’t expect to see any.
Q8. At this stage in the budget cycle, how well do you feel your current data-initiatives are serving you?
a. Very helpful in helping us collaborate across departments.b. Very helpful in helping us identify areas for savings.c. Not as helpful as we had hoped.d. Too early to say but feel they will help a lot.e. Not helpful at all.f. I am not sure.
Q9. To what extent does your organisation share and use data from other public sector organisations? - For example, crime data shared between the Police force, the NHS and Ambulance service, or any other activities related to sharing and collaborating with data with external Public Sector entities?
a. We have a multi-agency office of data analytics in place that collates and provides app-based products to partners, with robust protocols and benefits in place.b. We share strategic and operational data between agencies, with robust protocols in place.c. We share some multi-agency data, but could be improved with the right technology, protocols and leadership.d. We have very little multi-agency data, but really see the benefits in implementing a programme of sharing.e. We are not ready today but will be in the next six months.f. We are not ready today but will be in the next seven to twelve months.g. We are not ready today but will be in the next thirteen to eighteen months.h. We would not be ready for at least eighteen months.i. We have no plans for cross-department collaboration.j. Our data set-up is not suitable for cross-department collaboration.k. I am not sure.
Q10. Which of the following analytics techniques do you use? Select all that apply.
a. We use raw data in spreadsheet format.b. We use descriptive analysis techniques.c. We use diagnostic analysis techniques.d. We use predictive analytics techniques.e. We use prescriptive analytics techniques.f. We use scenario planning analytics techniques.g. I am not sure what analytics techniques we use.