MANAGEMENT ASSIGNMENT

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AnalyticsSurvey.docx

ANALYTICS SURVEY

ANALYTICS COMPONENTS

Totally disagree

1

2

3

4

Totally agree

5

CULTURE

Integration of information management and business analytics into strategy

Promotion of analytics best practices

Collaborative use of data across company lines

Planned investments in analytics technology, new talent and training

Pressure from senior management to become more data-driven and analytical

Data is treated as a core asset

Analytics is a top-down mandate

Analytical insights guide future strategy

Data analysis outweighs management experience when addressing key business issues

Organizational openness to new ideas and approaches that challenge current practices

Analytics changes the way business is conducted

Analytics causes a power shift in the organization

DATA MANAGEMENT

Managers have all the data they need to make key business decisions

Customer-facing employees have access to insights to help drive sales and productivity

Access to useful data has improved during the past year

The organization is effective at capturing data, cleaning data, aggregating/integrating data and visualizing data

Data is shared across functional silos and/or business units.

The organization uses a great deal of the data it generates or collects.

Functional areas are planning to make investments in analytics technology in the next 12months, and/or have already made investments in the past 12 months.

Analytics is being applied to key business issues by the organization as a whole.

SKILLS

The organization as a whole is effective at analyzing information and disseminating data insights

The organization has the appropriate analytical talent to make good use of analytics

Executives are effective at balancing analytics and intuition

Individual managers feel adequately prepared to use the organization’s data to address business issues

Functional areas have made investments in the past 12 months and are planning to make Investments in the next 12 months in analytics-related human resources (hiring analytics talent such as data scientists or analysts) and training (expanding analytical skill sets of current employees)