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Self-Service BI vs Traditional BI: What’s Next?

Alation

How will moving to true self-service business intelligence — and achieving data democracy — impact your organization? The Failure of Traditional BI Approach. The Emergence of Self-Service BI. Self-service BI requires carefully labeled data and the ability for business users to access and explore data.

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Accomplish Agile Business Intelligence & Analytics For Your Business

datapine

When it comes to implementing and managing a successful BI strategy we have always proclaimed: start small, use the right BI tools , and involve your team. When encouraging these BI best practices what we are really doing is advocating for agile business intelligence and analytics. What Is Agile Analytics And BI?

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Understanding Augmented Analytics and Its Evolution

Smarten

‘Augmented analytics is the use of enabling technologies such as machine learning and AI to assist with data preparation, insight generation and insight explanation to augment how people explore and analyze data in analytics and BI platforms. What is self-service analytics? We should probably explain before we move on.

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Self-Service BI: A Case of Trust Working Both Ways?

Alation

So I was surprised to learn from my colleague Myles Suer’s blog piece about Self-Service vs. Traditional BI that it was first referenced in 1865. And whilst the means to deliver BI have evolved greatly, the motivation behind it has not. Access remains a core challenge: Who benefits? Who loses out?

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Simplify Metrics on Apache Druid With Rill Data and Cloudera

Cloudera

Cloudera has partnered with Rill Data, an expert in metrics at any scale, as Cloudera’s preferred ISV partner to provide technical expertise and support services for Apache Druid customers. Rill’s services and platform ensure the performance, reliability, and security required to meet the most demanding SLAs. . Apache Druid.

Metrics 84
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Understanding Structured and Unstructured Data

Sisense

Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Structured vs unstructured data. Most BI tools also know how to work with it, allowing users to optimize resources from a technical perspective.

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Master Your Analytics Challenges With Professional Embedded BI Tools

datapine

Table of Contents 1) What Is White Label BI? 2) What Is Embedded BI? 3) The Link Between White Label BI & Embedded Analytics 4) An Embedded BI Workflow Example 5) White Labeled Embedded BI Examples In the modern world of business, data holds the key to success. What Is White Label Business Intelligence?

Analytics 191