AI Readiness Quiz

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Before we begin - a word on Data Privacy and Protection. At AI Surge we take your Data Privacy extremely seriously. The Data you share with us will be treated as though it were our own. We will use this information solely to provide you a bespoke report with actionable insight into your current state of Data Maturity, alongside suggestions on how you can improve.

Over time we will compile research findings for industries and regions but these will be completely anonymized.

Read our full privacy policy here. 🔐
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Let's start this right and get on first-name terms 🤝. Can I grab your First Name, please? * This field is required.This helps us find you if you get lost.
First Name
Last Name
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Thanks {name:first}, nice to meet you. This first section is quick - 2 questions on Data Value.
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Is data viewed as an asset within your organisation?* This field is required.Data Value Question 1 of 2
No
Data is a necessity for the operational processes of the business only
Critical data (e.g. in Regulatory or Financial reports) is viewed as an asset for KPI's and other management reporting
Data is viewed as a strategic enabler, allowing the business to achieve operational goals and objectives
Data is viewed as a driver of financial and corporate performance, essential to unlocking the growth potential of the organisation, a competitive differentiator
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How does your organisation track the value of its data?* This field is required.Data Value Question 2 of 2
Data value is considered only in terms of costs - e.g. of storage and/or movement of data
Data value has been calculated for some projects, e.g. improving marketing effectiveness through better contact data
Data value is calculated as part of a central team using simple business cases and ROI templates
Data value is considered holistically, taking into account reductions of operational risk, opportunity to increase revenue, and opportunity to reduce costs
Data value is cherished as an organisational differentiator and provider of competitive advantage with "hard" and "soft" dollar values directly attributed to data governance projects
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Cool, that's the first section down. Let's dive in and talk about some of the People elements 👨‍👩‍👧‍👦- here are 4 questions that will help us understand this better.
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Who owns the data in your organisation?* This field is required.Stewardship and People Question 1 of 4
No one
I.T. is responsible and owns the data
A central team has been established to own the data, and roles are being allocated
Business users have been assigned as Data Owners and are accountable for data in their domain
All organisation data elements have a Data Owner from the business that is actively overseeing and improving the data in their domain
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How is Data Quality viewed by your organisation?* This field is required.Stewardship and People Question 2 of 4
It's rarely or never thought of
Data is viewed as poor quality, but no formal processes are in place to fix it
Data Quality is managed by the IT team centrally
Data Quality issues are handled by a dedicated team that rectify and improve our data
Data Quality is seen as a responsibility across all roles in the organisation, and everyone does their part to maintain and improve the quality of the data they create or use
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How easily does your organisation adopt and accept change to Data policies and processes? * This field is required.Stewardship and People Question 3 of 4
Data Governance is not widely known of, change is always pushed back on, and rarely succeeds
Change happens slowly, and only then in some projects with strong executive sponsorship of Data Governance initiatives
Change is managed and monitored as part of the standard project implementation process
Change is accepted and understood, with alignment against project goals and corporate aims
Change is embraced, with thorough training programs in place to ensure the broadest possible adoption of new policies and processes
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How do you recruit and retain Data Governance roles in your organisation?* This field is required.Stewardship and People Question 4 of 4
Not relevant
Data Governance hires are internal, largely from I.T. and given limited or no training
Data Governance roles span Business and IT, with internal policies and some training provided to guide teams
A formal program exists to recruit and retain Data Governance talent, with standardised and effective training across the organisation
An effective, Enterprise-wide program exists to recruit and retain Data Governance skills. External experts are brought in to ensure current industry best-practice is adopted and shared
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Awesome work - you're a third of the way through ✅. Just in case we get cut off, can you provide your Work Email Address so we can ensure you get your results?* This field is required.
me@example.com
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Thanks for your email - you nailed that first section 🎯. Let's carry on to 5 questions about your Organisational setup.
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Have you established a Data Governance organisation?* This field is required.Data Governance Organisation - Question 1 of 5
No
We are exploring how to set up a Data Governance organisation
We have a team set up to Govern our Data
Our Data Governance team is established with clear objectives and documented processes. The Data Governance actively enforce these processes and track results
The Data Governance team is a central function that manages our critical data, engages in new business projects and reports performance against goals set by executive management
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How engaged are your senior stakeholders in the value and benefits of Data Governance?* This field is required.Data Governance Organisation - Question 2 of 5
Not at all
The value of Data Governance is only seen by some senior stakeholders
Data Governance is widely viewed as beneficial by senior stakeholders
Senior stakeholders play an active role in Data Governance
Data Governance is viewed as an essential component of business and strategy planning by the stakeholder community
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Do you have defined roles and responsibilities for Data Governance?* This field is required.Data Governance Organisation - Question 3 of 5
No
We are in the process of defining these now
Core Data Governance roles such as Data Owner and Data Steward have been defined and filled
A full set of Data Governance roles and responsibilities are defined and performance against objectives is tracked
Data Governance is deeply entrenched in the Organisation and everyone is aware of their roles and responsibilities in the process of governing data
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Do you have defined roles and responsibilities for Data Quality?* This field is required.Data Governance Organisation - Question 4 of 5
No
Data is cleaned at point of use by whoever is using it
There is a central Data Quality team who fix issues if they are reported
Issues are reported to a central team who coordinate with Data Owners and Stewards to fix the issue at source
Issues are reported, investigated and analysed by a central team, in conjunction with the relevant Data Owners and Stewards. Root cause analysis is used to prevent the data quality degrading in future
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You're on fire 🔥! What's your current role in the Organisation?
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How are budgets assigned and allocated to Govern Data?* This field is required.Data Governance Organisation - Question 5 of 5
No budget exists for Data Governance
Existing project budgets are used for ad-hoc Data Governance if it is deemed necessary
The I.T. team has a central budget used to ensure basic compliance with Data Management best practices
There is a dedicated Data Governance budget defined for the setup and operation of the Data Governance team
There is a dedicated central Data Governance budget that is constantly evaluated and adjusted to ensure the Data Governance team can respond to changing business priorities
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That was easy! Moving up a gear ⚙️- please answer these 5 questions on Business Alignment.
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Why are you adopting Data Governance in your Organisation?* This field is required.Business Alignment Question 1 of 5
We are not adopting Data Governance
Not sure
A central policy has been created to force us to do Data Governance
We are using Data Governance to increase revenues, decrease risk, or reduce costs in the Organisation
Data is critical to our Organisation's strategic goals and objectives, and Data Governance allows us to meet those needs
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Is there a defined Data Strategy in use within the Organisation?* This field is required.Business Alignment Question 2 of 5
No
We are in the process of drafting a Data Strategy
Yes, a Data Strategy exists
Yes, a Data Strategy exists and we monitor and report on progress against it
Yes, a Data Strategy exists that is aligned with Organisational strategic aims and constantly adjusted to optimise the return on investment
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What's the name of the Organisation you're completing this for?* This field is required.The report won't look great without your Organisation showing up in 💡 lights 💡!
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Quick question - are you completing this on behalf of the entire Organisation you work for, or just the Business Unit you work in?* This field is required.
Whole Organisation
My Business Unit
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How is Data Governance viewed within your Organisation?* This field is required.Business Alignment Question 3 of 5
No awareness of Data Governance
Data Governance is seen as a cost or time overhead
Data Governance is seen as something that can improve operational processes
Data Governance is seen as a key enabler of strategic objectives
Data Governance is a critical business partner that is essential for maximising the value of data across the organisation
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What relationship exists between the Business and the Data Governance team?* This field is required.Business Alignment Question 4 of 5
No Data Governance team exists
Data Governance is largely an IT function
Data Governance is a collaboration between Business and IT, but issues complying with Data Governance still remain
Data Governance is an integral part of Business planning and operations
Data Governance is a strategic enabler for new and existing Business processes, seen as a strong ally and partner for the business
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Has the organisation defined the value of Data Governance to the business?* This field is required.Business Alignment Question 5 of 5
Not relevant
Business cases exist for some Data Governance initiatives such as Master Data Management
The business case for Data Governance is well defined across a range of Organisation projects
Data Governance benefits have been quantified and reported for some organisational projects
Data Governance benefits are quantifiable and measurable, with hard dollar values associated and attributed to the Data Governance team
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That's the end of the Organisation Questions - you're on the home stretch to complete the quiz and get the report 📈 now! Here's 3 questions on the technology 👩‍🔧 capabilities you have in place.
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Does the organisation have any Data Quality tools in place?* This field is required.Technology Question 1 of 3
No
Some in-house developed scripts are used
Data Quality tools are used by a central team with basic effectiveness
Data Quality tools are leveraged by the Data Governance team with reasonable effectiveness
Data Quality tools are fully implemented, with performance tracked using Data Quality dashboards and improvement plans in place
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Does the organisation use any metadata management tools?* This field is required.Technology Question 2 of 3
No
Largely reliant on manual systems using Excel, word, email etc
Some tools are in place, but poorly leveraged or used
Tools are implemented and broadly used across the organisation
Enterprise-wide tools are deployed and are well used and understood by the organisation
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Does the organisation use any Data Modelling tools?* This field is required.Technology Question 3 of 3
No
Largely reliant on manual systems using Excel, word, email etc
Some tools are in place, but poorly leveraged or used
Tools are implemented and broadly used across the organisation
Enterprise-wide tools are deployed and are well used and understood by the organisation
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That's technology 💻 complete - you're crushing this ! Now let's work through 2 questions on Governance 👮‍♂️
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Is there a governance, risk and compliance process associated with your organisation's data?* This field is required.Governance Question 1 of 2
No
Some policies exist, however the processes are poorly formalised and on an ad-hoc basis
Standard policies are employed across some parts of the organisation
Standard policies are in place across the whole organisation
The organisation has standard Governance, Risk and Compliance policies applied enterprise wide that are continuously reviewed and updated in response to changing regulatory requirements
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How important is the role of risk management in your Data Governance organisation?* This field is required.Governance Question 2 of 2
We don't have a Data Governance organisation/No single person is responsible for risk management in our Data Governance organisation
Risk Management is seen as a by-product of Data Governance
Risk management is one of many roles engaged in Data Governance treated equally
Risk management is an important role in Data Governance, with a dedicated stakeholder
Risk management is a critical role in Data Governance, represented by a stakeholder with power and influence
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And now for 6 questions on Change Management in your Organisation ❣️
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Is effective management of change an explicitly stated objective aligned to your organisation's strategy, and have your executives made this a priority?* This field is required.Capacity for Change Question 1 of 6
No
Change management is sometimes included as part of projects
Change management is considered as part of any corporate project
Change management is a core part of project rollouts, leveraging a standardised approach to managing change
Executives ensure the appropriate time, resources and effort is made to plan for, manage and deliver change that is clearly aligned against known corporate strategies
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Do your employees across the enterprise understand change management, why it is important to success and how they play a role in making change successful?* This field is required.Capacity for Change Question 2 of 6
No
Staff are usually resistant to change and fight against it
Staff will make changes to behaviour where necessary, usually begrudgingly
Staff are aware of the need to manage change and participate in change programs
Staff enthusiastically adopt change and are clearly aware of the benefits each change will bring to both their own work and the wider organisation
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Do Managers and supervisors routinely use change management techniques to help support a broad range of initiatives, from strategy changes to individual employee development?* This field is required.Capacity for Change Question 3 of 6
No
Some managers will adopt approaches to coerce their staff into changes in behaviour
Managers follow standard processes to deliver change
Managers are well trained on change management methodologies and use these to drive change during projects
Managers and supervisors go through regular training to ensure they approach Change Management as a core component of a successful project, leveraging internal and external resources where needed
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Does your organisation gather data to enable continuous improvements to a common change management methodology with respective tools and learning journeys?* This field is required.Capacity for Change Question 4 of 6
No
Limited data exists on an ad-hoc basis
Data is captured in a standard format, but it is up to each project how they want to use the results
Data is captured and tracked by a central team to measure the success of Change Management in each project
Data is captured and tracked by a central change management team that use it for both performance management and continuous improvement
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Have you measured improvements in Change KPI's (e.g. higher ROI, lower productivity loss, less employee resistance) to change across the organisation over the last years?* This field is required.Capacity for Change Question 5 of 6
Not Sure
Management do not actively track KPIs related to change
Some tracking of these metrics has happened on an ad-hoc basis
There's a central change management team that measure the effectiveness of change initiatives
There's a central change management team that measures the effectiveness of their initiatives and actively aims to improve against these metrics
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Phew 😰 you've finished the hard stuff - here come the final 7 questions - finish it off strong 💪👊
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Is there a formal process in place for documenting and resolving Data Quality Issues that exist in your Organisation?* This field is required.Data Management Question 1 of 4
No process is in place. Some users discover, document and resolve Data Quality issues as they try to use the data
We are working out what we need to have as a process. There are basic, project-level Data Quality processes applied by some teams
Data Quality processes have been designed and are in the process of being rolled out
Data Quality policies are established and applied across Critical Data Elements in the Organisation
Data Quality processes are in place across the data we use. These are regularly reviewed and improved to ensure all Critical Data continues to meet the needs of the business and is fully fit for purpose
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Do you have any policies or procedures related to Data Collection, Use, Storage, Archival and Deletion?* This field is required.Data Management Question 2 of 4
No formal policies or procedures exist. These issues are managed on a case-by-case basis
Certain critical projects and systems have policies around these issues, driven by local or regulatory requirements (e.g. tax reporting)
There's a centralised set of policies issued by the IT team that govern these issues
The organisation adheres to well defined policies and procedures for these issues, with a centralised team responsible for enforcing the procedures
There's a cross-functional Business and IT team that aligns data capture, use, storage and deletion against corporate goals and objectives and audits the organisation for compliance against these policies
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Has your organisation set clear policies around critical or private data in relation to who is allowed access and for what purpose?* This field is required.Data Management Question 3 of 4
No. The data users have access to is governed only by their system access privileges
The organisation is trying to comply with local privacy laws and establish policies to protect critical and private data
The organisation has documented the critical data elements and has defined policies to govern who should have access and for what purpose
The organisation enforces data access policies over critical data elements, and proactively manages compliance against these policies
Data access to critical or private data is governed by an automated solution, with auditable sign off for Data Sharing Agreements and tracking of data usage
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Has the organisation adopted Master Data Management processes for core Data Domains (e.g. Customer, Product, Employee etc)?* This field is required.Data Management Question 4 of 4
Some basic definitions of Master Data exist, usually at the system data model level
There are some efforts to standardise the definition of Master Data between departments and across teams
Master Data Definitions exist and the Organisation is aware of which systems and processes leverage this data
Master Data is well defined and documented. A central hub is used to manage the Master Data on a domain level
Enterprise Master Data Management is in force, with redundant data sources decommissioned, automated validation against the MDM standard on capture, and coordination with downstream systems that rely on the Master Data
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Has your organisation defined and documented metadata requirements across technical, operational and business needs?* This field is required.Data Classification Question 1 of 3
No
A few core systems or critical processes have done this, mainly in silos along technical or operational needs
This is documented centrally for core systems and is a requirement for any new system implementations or development projects
This is defined for most of the technical, operational and business systems in use
These requirements are defined and documented Enterprise-wide
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Do you have a Business Glossary?* This field is required.Data Classification Question 2 of 3
No
Data dictionaries and data models are available for some systems and processes
Business Glossaries exist for some Data Domains where owners have been identified
Business Glossaries exist with clear ownership and responsibilities allocated for the definitions, attributes and terminology used
An Enterprise-wide Business Glossary is adopted using industry leading technology, with roles and responsibilities audited and automated through workflow
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Who is responsible for maintaining metadata in the Organisation?* This field is required.Data Classification Question 3 of 3
No one
Some project teams manage it on an ad-hoc basis, little agreement between teams on terminology or best practice
A central team is in place to document and maintain the metadata, focused on critical data first
A central team maintains the metadata, with defined roles and responsibilities
Metadata is managed centrally using a dedicated platform, with workflow used to track progress, escalate issues and improve the metadata in an ongoing, iterative process
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Boom!, you are a superstar 🤩You've completed the Quiz. Let's get you your Report 📊and plan how to help you use them 🚀
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We're going to send the report to {email} - is that the correct email address?
YESNO
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