Adoption of Data Analytics and AI

#1. What are the key data challenges your company faces? (select all that apply)

Limited visibility into Key Performance Indicators (KPIs) and business performance

Lack of self-service capabilities for business users

Difficulty developing a cohesive Analytics and AI strategy

Enhancing customer experience and driving organizational change

Challenges in gathering, analyzing, sharing, and acting on data quickly

Need for an Analytics and AI Readiness Assessment

Evaluating and selecting Analytics and AI tools

Choosing the right tools for better reporting and analysis

Identifying and selecting predictive analytics solutions

Other, please specify

#2. What are the primary obstacles to data accessibility in your organization? (select all that apply)

Difficulty integrating data from multiple sources

Limited access to real-time data

Concerns over data accuracy and consistency

Issues related to data privacy and security

Lack of robust technical infrastructure

Other, please specify

#3. Which barriers to Analytics and AI have impacted your organization? (select all that apply)

High or increasing volumes of data

Data silos or fractured systems

Poor data governance and reliability

Inadequate tools for data processing and analysis

Limited organizational skills and training for data analysis

Growing demands for analytics and reporting

Misalignment between business, IT, and corporate objectives

High perceived costs of implementation

Uncertainty about where to start

Other, please specify

#4. What business outcomes have been most positively impacted by analytics and AI in your organization? (select all that apply)

Increased revenue

Significant cost savings

Improved customer satisfaction

Enhanced operational efficiency

More effective risk management

Accurate forecasting and strategic planning

Other, please specify

#5. What Analytics or Business Intelligence tools does your organization currently use? (select all that apply)

Microsoft Excel

IBM Cognos

IBM Planning Analytics (TM1)

Salesforce Tableau

Microsoft Power BI

Qlik

MicroStrategy

SAP Business Objects

Oracle Business Intelligence

Datawatch

Domo

Anaplan

Other, please specify

None - no analytics or business intelligence tools currently in use

#6. Does your organization have any upcoming projects or priorities focused on improving analytics capabilities? (Select one)

Yes

No

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Adoption of Data Analytics and AI

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