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

 
Customer Story
Protected: Quarry Leverages Alteryx to support client ABM
Quarry leveraged data and analytics to build an account-based marketing prioritization model for their customers.
  • Marketing
  • APAC
  • Brazil
Learn More
 
Customer Story
Protected: 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.
  • IT
  • Machine Learning
  • Financial Services
Learn More
 
Customer Story
Protected: The IRS Improves Accountability and Transparency with Alteryx
A government agency leverages analytics to improve data accountability and transparency in procurement.
  • Data Prep and Analytics
  • Data Science and Machine Learning
  • Alteryx Analytics Cloud
Learn More
 

Recommended Resources

 
E-Book
The Analytics Champion’s Guide to Modernizing the Data Stack
Download our guide today and start your journey towards a more data-driven organization.
  • Cloud Products
  • IT Leader
  • IT
Read Now
 
Analyst Report
2024 Self-Service BI Market Study from Dresner Advisory Services
The 2024 Self-Service Business Intelligence Market Study, published by Dresner Advisory Services, reviews self-service BI trends and provides insight into industry adoption, user requirements, and vendor capabilities.
  • Data Science and Machine Learning
  • Generative AI
  • Analytics Leader
Read Now
 
White Paper
Market Research: Attitudes and Adoption of Generative AI
Where are businesses in their adoption and maturity around generative AI, and how does this compare to the public’s perception and understanding?
  • Generative AI
  • Analytics Leader
  • IT Leader
Read Now