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

Alation

In the 1970s, data was confined to mainframes and primitive databases. Reports required a formal request of the few who could access that data. The 1980s ushered in the antithesis of this version of computing — personal computing and distributed database management — but also introduced duplicated data and enterprise data silos.

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10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

With the right Big Data Tools and techniques, organizations can leverage Big Data to gain valuable insights that can inform business decisions and drive growth. What is Big Data? What is Big Data? It is an ever-expanding collection of diverse and complex data that is growing exponentially. Top 10 Big Data Tools 1.

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From Disparate Data to Visualized Knowledge Part I: Moving from Spreadsheets to an RDF Database

Ontotext

Picture this – you start with the perfect use case for your data analytics product. And all of them are asking hard questions: “Can you integrate my data, with my particular format?”, “How well can you scale?”, “How many visualizations do you offer?”. Nowadays, data analytics doesn’t exist on its own.

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Self-Serve Analytics Supports Continuous Improvement!

Smarten

When you provide access to augmented analytics solutions for your business users, you distribute knowledge and engender fact-based decision making, helping your users to accurately complete tasks and plan for future success. There is good reason for these results. Continuous improvement improves results!

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How IT leaders are driving new revenue

CIO Business Intelligence

“Growth, profitability, productivity, and engagement are all now part of the CIO role that 20 years ago was all about internal operations,” says Herlihy, who has been an IT executive since landing his first CIO position in 2000. A 2022 report from Info-Tech Research Group revealed that supporting revenue growth was No.

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The Data Behind Tokyo 2020: The Evolution of the Olympic Games

Sisense

This analytics engine will process both structured and unstructured data. “We We are constantly collecting data from all kinds of different sources — whether it is a library of documents, analytics reports, pictures, or even videos,” says Chris. Data will create a better-connected future.

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Becoming an Intelligent, Sustainable Enterprise with SAP

Timo Elliott

Here at SAP, we enable our customers to become Intelligent, Sustainable Enterprises by having connected business processes spanning the enterprise, including areas such as record to report, design to operate, hire to retire, order to cash, and many more. Trusted by customers.