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Making Self-Service BI a Reality in the Enterprise

For most analysts, the pace of analytics and data science can be frustrating. The common waterfall approach works well for the fixed reports, but it can be a lengthy process to request additional data sets, create new reports, or serve new use cases. So it’s no surprise that organizations are looking to shift towards a self-service model, empowering business users to discover and iterate quickly.

However, it’s not just about opening up this access, but also ensuring the results are accurate and trusted. When there are petabytes of data, how does a user know which tables to use and which are most relevant? How do you strike the balance between discovery and agility, while still meeting enterprise governance standards to truly get more value from your data?

During this webinar, you’ll learn how to empower end-users to make self-service BI a reality within your organization while fostering governance collaboration between all data stakeholders. We’ll discuss and demo:

- Strategies of consolidating data across silos for fast, flexible access
- Enabling easy discovery and exploration, including understanding which data to trust and where to start
- New capabilities for intelligent query assistance as well as immediate performance optimizations and recommendations as-you-go
- Collaboration and access outside of just SQL for data science and beyond

In addition, we will walk through best practices and considerations when developing your organizational strategy around self-service analytics, and highlight several real-world success stories from a wide range of industries.
Recorded Nov 15 2018 56 mins
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Presented by
Romain Rigaux Lead Software Engineer, Cloudera
Presentation preview: Making Self-Service BI a Reality in the Enterprise

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  • Making Self-Service BI a Reality in the Enterprise Recorded: Nov 15 2018 56 mins
    Romain Rigaux Lead Software Engineer, Cloudera
    For most analysts, the pace of analytics and data science can be frustrating. The common waterfall approach works well for the fixed reports, but it can be a lengthy process to request additional data sets, create new reports, or serve new use cases. So it’s no surprise that organizations are looking to shift towards a self-service model, empowering business users to discover and iterate quickly.

    However, it’s not just about opening up this access, but also ensuring the results are accurate and trusted. When there are petabytes of data, how does a user know which tables to use and which are most relevant? How do you strike the balance between discovery and agility, while still meeting enterprise governance standards to truly get more value from your data?

    During this webinar, you’ll learn how to empower end-users to make self-service BI a reality within your organization while fostering governance collaboration between all data stakeholders. We’ll discuss and demo:

    - Strategies of consolidating data across silos for fast, flexible access
    - Enabling easy discovery and exploration, including understanding which data to trust and where to start
    - New capabilities for intelligent query assistance as well as immediate performance optimizations and recommendations as-you-go
    - Collaboration and access outside of just SQL for data science and beyond

    In addition, we will walk through best practices and considerations when developing your organizational strategy around self-service analytics, and highlight several real-world success stories from a wide range of industries.
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We believe data can make what is impossible today, possible tomorrow
At Cloudera, we believe that data can make what is impossible today, possible tomorrow. We empower people to transform complex data into clear and actionable insights. We deliver the modern platform for machine learning and analytics optimized for the cloud. The world's largest enterprises trust Cloudera to help solve their most challenging business problems.

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  • Live at: Nov 15 2018 4:00 pm
  • Presented by: Romain Rigaux Lead Software Engineer, Cloudera
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