Business Data Strategists

1. Translate Business Problems Understand organization vision, business verticals, business drivers, market condition and key competitors. Map the business value chain with high level understanding of business processes. Understand business challenges, pain points, strategic and operational risks. Identify whitespaces where data and analytics interventions can help Build use cases that can be translated to the technical team for further decomposition.

2. Define Data Strategy:Lead the development of the organization’s data strategy, aligning data initiatives with overall business goals and objectives.Define long-term data strategies, including data collection, management, analysis, and usage, ensuring alignment with corporate priorities.Identify key opportunities to leverage data as a strategic asset across the business.Develop and maintain a roadmap for data initiatives that integrate various departments' needs (e.g., marketing, finance, operations, etc.).

3. Identify Data Governance Requirements:

• Define policies and frameworks to ensure data quality, consistency, and compliance across the organization.

• Frame best practices for data collection, storage, access, and utilization to ensure data integrity.

• Outline solutions for metadata management including data lineage, data catalog and business glossary.

• Provide recommendations regarding data privacy and security standards including specific compliance requirements (e.g., GDPR, CCPA).

• Define guardrails for ethical use of data in AI initiatives.

4. Collaboration with Business Leaders:

• Lead business stakeholder workshops and discussions with necessary domain knowledge.

• Work with business stakeholders to understand their data needs, translate those into actionable data strategies, prioritize and ensure data solutions are aligned with business objectives.

5. Business Value Delivery:

• Articulate to senior leadership regarding business value derived from the data strategy.

• Build a mechanism to track and monitor effectiveness of data strategy, ensuring data initiatives deliver measurable business value.

• Keep track of quantitative and qualitative benefits arising out of any consulting assignment, including downstream business opportunit