The sessions of the Quest Data Empowerment Summit Data Governance track examined the issues surrounding how to find, understand and use data assets for faster speed to meaningful insights. Data governance requires a consistent way of handling data to ensure its integrity as a single source of truth.
Speakers focused on implementing data governance frameworks and principles, modernizing data infrastructure and using data governance as a driver for business transformation, competitive differentiation and growth.
The intelligence approach to enterprise data governance.
Organizations are still coping with the Big Bang of Big Data. The struggle to manage all of it continues – let alone use it for greater good. We’ll look at the current state of data governance, including definitions, drivers, program maturity and common challenges. Most important, we’ll explore how to find, understand, govern and socialize data assets for faster speed to meaningful insights. With a comprehensive yet flexible data governance framework, you don’t have to choose between guardrails and growth – your organization can have both.
Knowing where your data came from and how it changed along the way is critical to ensuring downstream accuracy and fit-for-use analysis. Whether designing a new reporting mart, ensuring consistent PII classifications, or specifying a new data set to feed advanced analytics, your data teams need the ability to drill down into data’s origin and transformation. This session explores the data journey with an emphasis on lineage and provenance to help solve organizational data mysteries. With the ability to see and understand your enterprise data’s history, you can deliver robust data intelligence that can be trusted.
Increasing data regulations, such as the General Data Protection Regulation and the state and federal laws it has since spawned worldwide, elevated the practice of data governance from the halls of IT to the C-suite. But despite regulatory pressures and potential fines, many data governance programs are still a work in progress, rather than a core capability. In this session, we’ll talk about how it’s possible to jumpstart enterprise data governance with tips from an industry expert on how to navigate its complexities and establish a successful and sustainable framework.
As many as 80 percent of businesses are expected to migrate to the cloud by 2025, according to Computerworld UK. To get the most from these projects, companies are aligning them with other strategic moves to mitigate risks associated with the pandemic or natural disasters and to examine the availability, elasticity and scalability of the cloud to transform and modernize their businesses. In this session, you’ll learn about the power of the Snowflake Cloud Platform and how erwin by Quest supports the complete migration and modernization journey. We’ll cover how to effectively plan your cloud migration, transform your ETL and BI initiatives, and govern cloud data assets from end to end.
Petco is a category-defining health and wellness company focused on improving the lives of pets, pet parents and their own Petco partners. Since its founding in 1965, they’ve been trailblazing new standards in pet care, delivering comprehensive wellness solutions through our products and services, and creating communities that deepen the pet-pet parent bond. They operate more than 1,500 Petco locations across the United States, Mexico and Puerto Rico, including a growing network of more than 100 in-store veterinary hospitals, and offer a complete online resource for pet health and wellness at petco.com and via the Petco app. Watch this session to learn how Petco implemented enterprise data governance as a means of driving competitive differentiation, transformation and intelligence to manage its volcanic growth.