HOW ENTERPRISES ARE CAPTURING
BUSINESS VALUE FROM THEIR
ANALYTICS INVESTMENTS?

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XX% of organizations use formal criteria to prioritize and approve analytics projects

Organizations that segment analytics projects by priority see better acceptance and engagement.

XX% of organizations increased their investment in data and analytics over the past three years

Over xx% of the respondents completed up to xx analytics projects in 2018. Other organizations have initiated analytics programs to further their business objectives.

XX% of organizations consider their data and analytics program to be effective or very effective

Data visualization has the strongest impact on program effectiveness. It offers visual insights that power decision-making.

XX% of organizations have an independent, standalone department to manage analytics programs

Most organizations have a separate analytics department dedicated to drawing business-level insights from available data.

Most organizations rely on analytics for performance management, decision-making and organizational restructuring.

Attitude Towards Analytics

    XX.X%

    Core component of decision-making within our organization

    XX.X%

    Used extensively for decision-making within our organization

    XX.X%

    Peripheral component of decision-making within our organization

    XX.X%

    Only leveraged occasionally

Top Business Functions Where Analytics is Used Regularly

HR departments mainly count on descriptive analytics for their operations.

Majority organizations use both descriptive and predictive analytics for their customer insights efforts, such as scenario analysis.

While organizations predominantly use descriptive analytics, almost half are also using predictive analysis.

Majority organizations use both descriptive and predictive analytics for their customer insights efforts.

While manufacturers tend to predominantly rely on descriptive analytics, almost half are using predictive analytics as well.

Given that marketers need to focus on targeted content distribution and churn rate prediction, predictive analytics becomes a reliable tool for them.

Process management functions prefer descriptive analytics over predictive analytics.

Product Development / R&D are more likely to rely on predictive analytics to support their decision making.

Quality teams still rely predominantly on descriptive analytics, even though they can gain significantly from predictive analytics in minimizing rework and errors.

Supply chain departments rely almost equally on descriptive analytics and predictive analysis

Sales teams leverage their analytics teams mainly for predictive analytics support.

Organizations typically use descriptive analytics to support their procurement teams’
decision-making.

Organizations typically rely on descriptive analytics such as standardized performance reporting for their operations support.

Organizations typically rely on descriptive analytics for the knowledge management teams.

Most organizations' analytics programs typically have XX FTES or fewer.

Analytics Program Structure

Data visualization has the largest impact on program effectiveness.

Supporting Organizational Goals

Organizations leverage analytics to support 5 primary goals.

Though not as regularly, organizations also use analytics for other activities.

As analytics becomes pervasive, organizations have increased their investment in these tools over the past three years.

Investment Over Last Three Years

HOW ARE ORGANIZATIONS
MEASURING SUCCESS?

Organizations use a mix of measures to capture the value of their efforts and manage their ongoing analytics programs.

Change
Management

Performance
Management

Program Tracking
& Monitoring Tools

What are the Top Five Measures for Analytics Program Performance?

Customer
Satisfaction

XX.X%

Stakeholder
Satisfaction

XX.X%

Cost/Benefit
or ROI

XX.X%

Output Utilization
or Consumption

XX.X%

Prediction or
Model Accuracy

XX.X%

Analytics is predominantly used as a tool for decision-makers to create actionable insights. It is also widely leveraged by organizations to provide visual tools such as dashboards and enhance customer satisfaction, reduce costs, and improve productivity.

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