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Recreating Organizational Architecture Through Network Orchestration

CIO Business Intelligence

The COVID-19 pandemic has tested humankind’s resilience in unprecedented ways. For the first time in a century, we continue to live with a mix of restrictions on social interactions, travel, and assembly. By Nitin Rakesh, Chief Executive Officer, and Managing Director at Mphasis.

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10 Big Data Examples Showing The Great Value of Smart Analytics In Real Life At Restaurants, Bars, and Casinos

datapine

From targeted advertising, education, and already mentioned massive industries (healthcare, manufacturing, or banking), to real-life scenarios, in guest service or entertainment. What’s the motive? And when you consider that by the year 2020, 1.7 Big data can serve to deliver benefits in some surprising areas. 10) A Nostalgic Shift.

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What’s Next for the Future of Work?

CIO Business Intelligence

The interactive conference will tackle themes of understanding generational differences, creating a vibrant workplace culture, and implementing innovations such as intelligent automation. Innovative IT leaders should be testing new models of work such as automation. National Labor Relations Board.

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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

Fractal’s recommendation is to take an incremental, test and learn approach to analytics to fully demonstrate the program value before making larger capital investments. It is also important to have a strong test and learn culture to encourage rapid experimentation. Therefore, understanding customers for cross and up-sell is paramount.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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Slow Down on the Software Updates

Paul Blogs on BI

Some customers require 6 to 9 months to implement and test a new release of BusinessObjects because it is often integrated with lots of other applications. Many of these clients have hundreds of thousands of BO reports and the regression testing, even with automation, is a formidable task. I would love to hear your feedback.

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Migrate an existing data lake to a transactional data lake using Apache Iceberg

AWS Big Data

In this post, we show you how you can convert existing data in an Amazon S3 data lake in Apache Parquet format to Apache Iceberg format to support transactions on the data using Jupyter Notebook based interactive sessions over AWS Glue 4.0. AWS Command Line Interface (AWS CLI) configured to interact with AWS Services.