2021 Data and Analytics Survey

The Chicago tech market is growing rapidly and we want to learn about our community's data maturity. We're looking to understand how your organization manages your data and how you use analytics to achieve your goals. This information will be used to create our 2021 Chicago Data and Analytics Benchmarking Guide.

Your answers are completely confidential. However, if you want to be entered to win one of three YETI coolers, make sure to provide your contact information at the end of the survey.

The survey should take no more than 5 minutes to complete.

Question Title

* 1. What is your primary job function?

Customer success

Finance

Marketing

Operations

Product development

Sales

Other (please specify)

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* 2. What is your level?

C-level

Director

Other (please specify)

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* 3. What is your organization’s primary industry focus?

Business and professional services

Finance/FinTech

Food industry

Insurance

Life sciences and healthcare

Manufacturing

Pharmaceuticals

Retail

Transportation, logistics, and supply chain

Other (please specify)

Question Title

* 4. Where are you in your data and analytics journey?

Novice: We have just scratched the surface – tremendous upside and potential.

Advanced beginner: We have some data and analytics tools in place but still a long way to go.

Intermediate: Some parts of our business (financial, operations, HR, marketing, etc.) leverage data and analytics, but we lack a holistic view at the company level.

Proficient: The basics are in place throughout the organization. We can access the data we need and create insightful reports and dashboards.

Expert: We are a data-driven organization with widespread adoption of our analytics tools. We have a modern data environment including advanced analytics capabilities.

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* 5. What are your top challenges with data in your organization? (Select up to 3.)

Data is inaccurate or inconsistent.

Data is decentralized or siloed.

Data is not secured.

Data is not easily accessible.

Data lacks standardized definition.

Data is not clean (e.g., duplicates, incomplete data points, formatting errors).

We lack IT support or have difficulty getting data from IT.

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* 6. To make business decisions, we rely more on spreadsheets than on a centralized reporting environment.

True

False

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* 7. Inadequate data access prevents my organization from creating the reports we need to make informed business decisions.

True

False

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* 8. What are your top reporting/analytics challenges? (Select up to 3.)

Lack of consensus on the correct key performance indicators (KPIs) or business metrics to measure

Lack of data needed for reporting

Lack of reporting tools or dashboards

Time, resources, skill required to create reports

Slow reporting or impact of reporting on other systems

Difficulty finding the right insights due to dashboard design or formatting

Lack of user adoption and training

Role-based reporting security

Inability to drill down for further details

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* 9. What are your top reporting/analytics priorities? (Select up to 3.)

Improving accessibility of data required for more advanced analytics

Incorporating more advanced analytics and data science

Defining organization-wide reporting objectives

Ensuring reporting answers the questions we’re asking

Decreasing report turnaround time

Being able to make changes to reports or dashboards

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* 10. What are the top risks to your analytics initiatives? (Select up to 3.)

Poor adoption

Ill-defined ROI expectations

Cost of technologies and implementation

Lack of strategy or poorly defined/documented strategy

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* 11. What are the greatest sources of resistance to new analytics initiatives in your organization? (Select up to 3.)

Number of processes that need to change

Lack of information about new tools or processes

Lack of interest in new tools

Lack of stakeholder buy-in

Cost of tools, implementation, and training

Too many tools

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* 12. Which of these features are most important in a reporting/analytics tool? (Select up to 3.)

Clean design with ease of comprehension

Ability to customize colors, branding, or other design aspects

Short learning curve

Export/data interaction functionality

Ability to easily connect to and report on your source data

Question Title

* 13. If you'd like to be entered to win a YETI cooler, please provide your contact information. (Optional)

Name

Email Address

Phone Number