Enterprise Intelligence Assessment

Step 1 of 11

To what extent does your organization have leadership and a culture that values data and data-driven decision-making?

11% of organizations now have a Chief AI Officer

Step 2 of 11

How often are actions taken in your organization driven by data analysis?

36% of organizations rank data analysis among their top 2 areas of investment in the next 12 months

Step 3 of 11

To what extent do you agree that executives in your organization believe that using external data is a critical competency?

65% more organizations with Fair Enterprise Intelligence state that the ability to synthesize data is an insurmountable challenge compared with organizations with Excellent Enterprise Intelligence

Step 4 of 11

Rate how well your organization surfaces actionable information to the following users in the flow of work.

Executives

Managers

Staff workers

Data analysts

56% of organizations with Excellent Enterprise Intelligence deliver actionable information to their users compared with only 8% of those with Poor Enterprise Intelligence

Step 5 of 11

How would you rate the ability of people in your organization to identify misinformation or challenge mistakes in data?

32.5% of organizations feel that false information that is undetected is used for training AI models

Step 6 of 11

Of the data being analyzed in your organization, approximately what percentage is being analyzed using each of the methods below?

Answers should add up to 100%

Spreadsheets

Commercial business intelligence tools

Statistical data science/advanced analytics tools

AI/ML technologies

Your current sum is %. The sum must equal 100%.

69.1% of respondents cited that they have data that they do not analyze or use

Step 7 of 11

At what stage are you implementing Artificial Intelligence in the following areas?

Accessing and exploring data to generate insights

Surfacing recommendations and corresponding actions to business users

Finding connections and correlations among disparate data stores

Integrated set of capabilities to support the full data workflow

Embedded support for AI/ML model execution

55% of organizations with Poor Enterprise Intelligence struggle with a lack of AI-driven automation in their processes compared with 2% of those with Excellent Enterprise Intelligence

Step 8 of 11

How important are the following factors in selecting a cloud data platform for your organization?

Support for open standards

Ease of integration with other systems

Integrated set of capabilities to support the full data workflow

Embedded support for AI/ML model execution

Only 3.4% of organizations cited that they are NOT using cloud platforms in their AI and digital business efforts; 34.1% have a multicloud approach

Step 9 of 11

To what extent does your cloud data platform meet your expectations in the following factors?

Support for open standards

Ease of integration with other systems

Integrated set of capabilities to support the full data workflow

Embedded support for AI/ML model execution

31% of organizations cited that they will run GenAI workloads in public cloud platforms

Step 10 of 11

What percentage of data and analytics technologies are implemented in the following ways in your organization?

Answers should add up to 100%

On-premise

Private cloud

Hybrid cloud

Public cloud

Your current sum is %. The sum must equal 100%.

Step 11 of 11

In which country is your organization primarily headquartered?

Which of the following industries best applies to your organization?

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