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CGEIT · Question #597

An enterprise has launched a digitization effort requiring a single view of customer information across all product lines. Which of the following should be done FIRST to enable this initiative?

The correct answer is C. Assess the current data standards that are in use for applications. To achieve a single view of customer information, the initial step must be to understand the existing data landscape and standards across different applications.

Submitted by devops_kid· Apr 18, 2026Governance of Enterprise IT

Question

An enterprise has launched a digitization effort requiring a single view of customer information across all product lines. Which of the following should be done FIRST to enable this initiative?

Options

  • ADevelop funding estimates for integrating applications
  • BModify the future state enterprise architecture (EA)
  • CAssess the current data standards that are in use for applications
  • DAudit the infrastructure architecture for integration points

How the community answered

(36 responses)
  • A
    6% (2)
  • B
    17% (6)
  • C
    75% (27)
  • D
    3% (1)

Why each option

To achieve a single view of customer information, the initial step must be to understand the existing data landscape and standards across different applications.

ADevelop funding estimates for integrating applications

Developing funding estimates is premature before understanding the scope and complexity of the integration work, which is determined by data standards.

BModify the future state enterprise architecture (EA)

Modifying the future state enterprise architecture is a later step, requiring an initial understanding of the current state, particularly regarding data.

CAssess the current data standards that are in use for applicationsCorrect

Assessing current data standards is the crucial first step because a single view of customer information depends entirely on understanding how customer data is currently defined, stored, and formatted across various product lines. This assessment reveals inconsistencies and gaps that must be addressed for effective data integration.

DAudit the infrastructure architecture for integration points

Auditing infrastructure for integration points focuses on the technical connectivity layer, which is secondary to harmonizing the data content itself for a "single view."

Concept tested: Enterprise data integration prerequisites

Topics

#Data Standards#Data Integration#Enterprise Information Management#Digitization Strategy

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