Execution Support
Execution support includes defining data standards, defining processes to measure and track against these standards (including data quality), change management, stakeholder engagement, and program management for execution support. Here are some of the areas where we can help.
Change Management
Data Culture and Training: Fostering a data-driven culture within the organization by providing training and education to employees on data literacy, data governance, and best practices for using data effectively in their roles.
Alignment with Business Objectives: Ensuring that data initiatives and investments are aligned with the organization's overall business objectives and priorities, and that data-related activities deliver measurable value and contribute to business success.
Change Management and Stakeholder Engagement: Engaging stakeholders across the organization, including executives, business users, data analysts, and IT professionals, to gain their buy-in and support for the data strategy, and managing change effectively throughout the execution process.
Data publishing for AI: Working with data publishers to ensure that published data includes aspects important to AI, including standardization of data, machine understandability, metadata, labeling, and enrichment.
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Feature Engineering: Helping publishers and model teams develop and deploy features. This includes selecting, transforming, and creating features (input variables) from raw data that are most relevant to the AI task. Well-engineered features can significantly enhance the performance of AI models.
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Data Quality Management: Implementing data quality controls, data validation processes, and data quality monitoring mechanisms to ensure that data is accurate, complete, consistent, and reliable across the organization.
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Data Integration and ETL: Developing data integration pipelines and Extract, Transform, Load (ETL) processes to ingest, transform, and integrate data from disparate sources into a unified format for analysis and decision-making.
