Thought leadership

February 22, 2024

Building Strong Relationships with Business Stakeholders | Webinar (Featuring Nik Acheson)

Join Egor and Nik in this insightful webinar as they delve into the importance of fostering strong relationships with business stakeholders in the realm of data leadership.

Egor Gryaznov

Join Egor and Nik in this insightful webinar as they delve into the importance of fostering strong relationships with business stakeholders in the realm of data leadership.

This engaging discussion highlights key strategies for success, including the use of shared language, understanding business needs, and translating technical capabilities into tangible business outcomes.

Strategies Covered:

- Importance of Shared Language
- Understanding Business Needs
- Translating Tech Capabilities into Business Outcomes
- Delivering Quick Value
- Guiding Data Strategy with Business Needs
- Shared OKRs and Time to Value
- Empathy Towards Business Stakeholders
- Role of Metrics in Business Success

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Throughout the conversation, Egor and Nik draw from their own experiences and share real-world business scenarios to illustrate these concepts. Whether you're a seasoned data leader or just starting in the field, this webinar offers valuable insights to help you navigate the complex landscape of data leadership and build stronger relationships with your business counterparts.

Watch the Recording On YouTube

Connect with Egor on LinkedIn

Connect with Nik on LinkedIn

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Resource

Monthly cost ($)

Number of resources

Time (months)

Total cost ($)

Software/Data engineer

$15,000

$540,000

Data analyst

$12,000

$144,000

Business analyst

$10,000

$30,000

Data/product manager

$20,000

$240,000

Total cost

$954,000

Role

Goals

Common needs

Data engineers

Overall data flow. Data is fresh and operating at full volume. Jobs are always running, so data outages don't impact downstream systems.

Freshness + volume
Monitoring
Schema change detection
Lineage monitoring

Data scientists

Specific datasets in great detail. Looking for outliers, duplication, and other—sometimes subtle—issues that could affect their analysis or machine learning models.

Freshness monitoringCompleteness monitoringDuplicate detectionOutlier detectionDistribution shift detectionDimensional slicing and dicing

Analytics engineers

Rapidly testing the changes they’re making within the data model. Move fast and not break things—without spending hours writing tons of pipeline tests.

Lineage monitoringETL blue/green testing

Business intelligence analysts

The business impact of data. Understand where they should spend their time digging in, and when they have a red herring caused by a data pipeline problem.

Integration with analytics toolsAnomaly detectionCustom business metricsDimensional slicing and dicing

Other stakeholders

Data reliability. Customers and stakeholders don’t want data issues to bog them down, delay deadlines, or provide inaccurate information.

Integration with analytics toolsReporting and insights

Building Strong Relationships with Business Stakeholders | Webinar (Featuring Nik Acheson)

Join Egor and Nik in this insightful webinar as they delve into the importance of fostering strong relationships with business stakeholders in the realm of data leadership.

Strategies Covered:

Watch the Recording On YouTube

Connect with Egor on LinkedIn

Connect with Nik on LinkedIn

What is Data Quality?