Break Down Data Silos With a Data-Centric Integration Strategy

Integrate your data or disintegrate your business.

Onsite Workshop

Not having a business-aligned approach to data integration results in:

  • Inefficient, inaccurate, and delayed decision making.
  • Wasted resources due to inefficient operations and processes.
  • Inaccurate insights, inconsistent or erroneous operational and management reports, and ineffective cross-departmental use of analytics.

Having a business-aligned approach to data integration results in:

  • Good data quality, allowing you to generate insights into customer intimacy, operational excellence, and innovation leadership.
  • Effective data architecture tactics driven by business need for data.
  • A corporate culture that holds data as a priority and an asset.

Module 1: Collect Integration Requirements

The Purpose

  • Explain approach and value proposition.
  • Review the common business drivers and how the organization is driving a need to optimize data integration.
  • Understand Info-Tech’s approach to data integration.

Key Benefits Achieved

  • Current integration architecture is understood.
  • Priorities for tactical initiatives in the data architecture practice related to integration are identified.
  • Target state for data integration is defined.

Activities: Outputs:
1.1 Discuss the current data integration environment and the pains that are felt by the business and IT.
1.2 Determine what the problem statement and business case look like to kick-start a data integration improvement initiative.
1.3 Understand data integration requirements from the business.
  • Data Integration Requirements Gathering Tool

Module 2: Analyze Integration Requirements

The Purpose

  • Understand what the business requires from the integration solution.
  • Identify the common technical requirements and how they relate to business requirements.
  • Review the trends in data integration to take advantage of new technologies.
  • Brainstorm how the data integration trends can fit within your environment.

Key Benefits Achieved

  • Business-aligned requirements gathered for the integration solution.

Activities: Outputs:
2.1 Understand what the business requires from the integration solution.
  • Data Integration Requirements Gathering Tool
2.2 Identify the common technical requirements and how they relate to business requirements.
  • Data Integration Trends Presentation

Module 3: Design the Data-Centric Integration Solution

The Purpose

  • Learn about the various integration patterns that support organizations’ data integration architecture.
  • Determine the pattern that best fits within your environment.

Key Benefits Achieved

  • Improvement initiatives are defined.
  • Improvement initiatives are evaluated and prioritized to develop an improvement strategy.
  • A roadmap is defined to depict when and how to tackle the improvement initiatives.

Activities: Outputs:
3.1 Learn about the various integration patterns that support organizations’ data integration architecture.
  • Integration Reference Architecture Patterns
  • Data Integration POC Template
3.2 Determine the pattern that best fits within your environment.
  • Data Integration Mapping Tool

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