Use Case

Scalable Data Governance

As more users access and use data in your organization, data governance grows in importance. By balancing data governance with self-service access to analytics, you can make progress on the road to both analytics transformation and digital transformation.

Risk Reduction

Scale self-service analytics and data access without losing control

Efficiency Gains

Implement data governance strategy that doesn’t become a bottleneck for analytic access

Workforce Upskilling

Create a culture of analytics understanding and data governance best practices

Bottom-Line Returns

Stop reinventing the wheel and implement analytic access and data security across the organization

Customer Experience

Get the most out of customer data while ensuring data security


Business Problem

When your organization embraces data and digital transformation, employees in almost all roles get involved. Whether they’re running a simple query, automating a process, building a dashboard, formatting a report, or training a predictive model, their hands are on the data. Applications that enable self-service for business users and tools that facilitate complex analysis are a big part of this data democratization.

But without proper mechanisms to govern the use of data, you can suddenly find too many cooks in the wrong kitchens. You run the risk of hampering productivity through improper data use. Sloppy data handling can lead to data security breaches and subsequently IT deciding to revert back to the model of leaving data in silos, where it was less vulnerable and less prone to misuse.

Analytics Solution

The right solution strikes the balance between the access that users want and the governance that IT and management want. With analytics you can ensure that the right data is accessible to the right people at the right time.

In the modern paradigm, governance isn’t meant to control or build a wall around data, but instead to provide guardrails. Smart companies use analytics to enable users to leverage data, while at the same time ensuring that users adhere to guidelines, follow basic principles, and practice accountability. Once that balance is in place, business leaders can promote analytic innovations and use cases aligned with the rest of the organization.


Customer Success Stories

Témoignage client
Quarry Leverages Alteryx to support client ABM
Quarry leveraged data and analytics to build an account-based marketing prioritization model for their customers.
  • Marketing
Lire maintenant
Témoignage client
UBS AG On Governance of Models and Workflows in a Regulated Environment
Global Financial Services firm UBS has 3,300 Alteryx users, helping to shape a company-wide data culture and strategy.
  • Information Technology
  • Alteryx Machine Learning
  • Services financiers : Banque
Lire maintenant
Témoignage client
The IRS Improves Accountability and Transparency with Alteryx
A government agency leverages analytics to improve data accountability and transparency in procurement.
  • Préparation et analytique des données
  • Data Science et Machine Learning
  • Alteryx Designer
Lire maintenant

Recommended Resources

Livre blanc
Building Data Talent for the Decade Ahead
This paper lays out several approaches that educational institutions can take to embed data analytics into legacy academic programs or the DIY path individuals can follow.
  • BI/Analytique/Data science
  • Mondiale
Lire maintenant
Témoignage client
Jebsen Group: Bridging the Gap Towards Digital Transformation
The Jebsen Group uses Alteryx to automate and accelerate key data processing and analytics workflows that help the business manage a large portfolio of premium brands.
  • BI/Analytique/Data science
  • Finance
  • Planification et analyse financières
Lire maintenant
Unifying Your Data Platform Architecture
Organizations that unify their data can reap numerous benefits, but creating a unified platform requires thoughtful planning and execution. Learn the critical plays for getting started.
  • IT
  • BI/Analytique/Data science
Lire maintenant