Data Autonomy Assessment Questionnaire (DAAQ)2022-05-05T10:52:33+00:00

Data Autonomy Assessment Questionnaire (DAAQ): Find Out How Data-Driven You Are?

Unifying data across “People, Process & Platform.” DAAQ is a data autonomy assessment questionnaire that will help you evaluate your organization’s strengths, weaknesses, and opportunities in linking its Data, People, Process, and Platform to achieve business goals.

Data Autonomy Assessment Questionnaire (DAAQ): Find Out How Data-Driven You Are?

Unifying data across “People, Process & Platform.” DAAQ is a data autonomy assessment questionnaire that will help you evaluate your organization’s strengths, weaknesses, and opportunities in linking its Data, People, Process, and Platform to achieve business goals.

Trusted by companies of all sizes

A word from our lead engineer

What is DAAQ?

The Data Autonomy Assessment Questionnaire (DAAQ) is designed to help small, medium, and large enterprises undergo self-evaluation to define measurable goals and track their outcomes (with OKRs & KPI) and get themselves ready to embrace a data culture suited to their business values and requirements.

DAAQ model is derived from the most well-known data management maturity models: DAMA-DMBOK (Data Management Body of Knowledge Guide), DCAM (Data Management Capability Model), CMMI CERT-RMM (Data Management Maturity Model) by CMMI3, IBM Data Governance Council Maturity, Stanford Data Governance Maturity, Gartner’s Enterprise Information Management Maturity.

Why should I take DAAQ?

Data Autonomy Assessment Questionnaire (DMAQ) provides a comprehensive yet pragmatic set of indicators to help organizations assess their data-centric preparedness on two aspects:

  1. Data engineering as a process
  2. Data analytics for achieving outcomes

The first refers to a robust data governance mechanism along with supporting institutional structures. The second refers to the availability of data itself and its usage in decision-making using advanced technologies.

DAAQ keenly focuses on unifying data across “People, Process and Platform” to help you with your data strategy to strive as a data-driven organization. DAAQ provides a 360 Degree Data Autonomy Assessment and recommendations to help you overcome your current data challenges.

How it works?

Our mission is to solve big data problems and help you make better decisions for complex business problems.

Take the DAAQ Assessment
Start the assessment and answer all 20 questions.

Get your customized report
We will send you a fully customized assessment report for improving your data autonomy

Accountability on both sides
We check in with you on your data autonomy progress regularly.

Join thousands of other companies working with Zuci’s DAAQ recommendations to make better business decisions.

They’re happy.
And so are we.

The DAAQ is a must for any organization looking to improve their data strategy.

Chief Technology Officer, Banking
I found this to be an excellent and simple way to learn what is important in data analytics and how we can improve upon it.
Data Scientist, F500 Enterprise
I am so happy I found this tool! I can now assess my data literacy and know the steps to take to improve.
Data Engineer, Healthcare

Our approach built on experience

Built on experience, but tailored to your specific business problems.

A proven methodology

Our goal is simple: work closely with you to understand your business goals and objectives, then use our data & analytics framework to build actionable, data-driven insights and recommendations.

Data Context

1 MAY 2016

Data is one thing, data in context is another. Understanding data context is the core of any data analysis project to filter out what is useful and what is not. We sieve and sort through your data, adding the human understanding born of our experience and knowledge.

Data Architecture

1 MAY 2016

Data Architecture is vital for data & analytics projects. It focuses on how to secure, structure, and integrate data silos in a manner that supports business intelligence and reporting requirements.

Data Governance

1 MAY 2016

We will help set the data governance for managing the data assets of your enterprise data by determining who owns a data asset, where it is stored, how it can be used, who can use it and what they can do with it.

Data Engineering

1 MAY 2016

Our data engineering phase of the framework establishes a bridge between your production data and the analytics teams. It supports them by providing a sound foundation for data, and it provides a long-lasting data structure for the analytic teams to mine.

Data Analytics

1 MAY 2016

We start our data analytics framework with statistics, which is more fundamental and broader in scope. We analyze patterns and relationships within the data we collect, to help enterprises with core business problems.

Data Visualization

1 MAY 2016

Data Visualization is the last step in the data and analytics framework. With our custom technology and tools, the data is consumed and arranged in charts, graphs, and other formats into meaningful visualizations that effectively communicate data insights to executives, non-technical employees, and key business stakeholders for faster insights and better decisions.

Help yourself and your organization take a step forward by assessing your data autonomy.

Go to Top