Additional Areas of Focus and Expertise

Our experience, expertise, and proven track record address all of the major components that an organization needs to have in place on their journey in becoming a data driven organization. These areas of importance and how AIA can assist you include:

Data Services

AIA’s skilled and experienced consultants can help organizations identify and establish the best practices for implementing effective Data Services.

AIA staff offers support in the following areas:

Establish Clear Data Strategy

  • Create a detailed plan that outlines how an organization intends to manage, utilize, and leverage its data assets and aligns closely with an organization's overall business strategy and objectives.       

  • Assess the quality of data, for accuracy, consistency, reliability, and integrity. Identify trends, patterns, and correlations in the data.

  • Evaluate whether the data being collected and stored is relevant to the organization's goals and objectives.

Data Governance

  • Establish data governance principles, policies, and practices to ensure data quality, security, compliance, and privacy.

  • Ensure that data adheres to data quality standards and compliance requirements.

  • Define roles and responsibilities for data management, establishing data stewardship practices, and implementing data quality controls.

Modernize Data Infrastructure

  • Understand underlying data architecture that supports the data services, including data storage solutions (databases, data warehouses, data lakes), data processing platforms, and data integration tools including the design of data models, and schemas that structure data for easy understanding and use by data services.

Foster a Data-Centric Culture

  • Foster data-driven culture within the organization by promoting data literacy, providing training and education on data-related topics, and encouraging data-driven decision-making at all levels.  

Leverage Advanced Analytics

  • Determine how data is accessed and delivered to end-users.

  • Define the data analytics tools, data visualization platforms, and data science techniques that can be used to derive actionable insights.