Ethics in data and AI: Getting ahead of compliance

Is your enterprise prepared to comply with new laws and regulations on data and artificial intelligence? Ethics in data and AI is an increasingly important topic to legislators and policymakers, considering the passage of CPPA and other initiatives on ballots across the country. What’s your…

Reducing friction in the enterprise data and IT partnership

Tensions between IT and the data organization can slow down cloud adoption and advanced analytics while limiting data access. How can you build a stronger relationship with IT to successfully achieve your data strategy objectives? It’s important to: Educate and align IT with your data…

Data quality: Establishing a solid foundation for enterprise analytics

Data quality is critical to building machine learning and artificial intelligence solutions that provide meaningful, actionable insights. How do you ensure employees at all levels in your multibillion-dollar enterprise understand the importance of data quality? Do you have a clearly defined data quality program with…

Running an effective data governance council

You need a data governance council, but how do you meaningfully engage members to build trust and compliance throughout the enterprise? What works and what doesn’t in creating and sustaining a winning council? It’s critical for data strategy leaders to:  Define success and win over…

Competing for and retaining talent against the tech giants

As the head of data strategy, you need to recruit and retain top talent — and it’s an increasingly competitive battle. Tech giants often have flashier brands and stronger data foundations. What does your company offer for tech employees to thrive?  How do you recruit…

Mitigating enterprise risk in sunsetting legacy data platforms

Legacy systems are stitching together your data technology stack, so why are you keeping them? Simple: the risk. There are painful potential consequences, like inaccurate C-level metrics, predictive models, or analytics, which can lead to bad business decisions. How do you identify the systems to…

Keys to winning C-suite support for your data strategy

If you don’t have support from your C-suite, your data strategy may be nothing more than a slick presentation.  How do you gain trust and support from your top executives so that you can execute on your data strategy roadmap?  How do you handle pushback?…

Building an enterprise Center of Excellence for analytics

Centralizing analytics can help consolidate education and tools for a large organization, but a completely centralized model may not work for all.  What are the pros and cons of the different models?  How do you empower embedded analysts with tools and education? How do you…