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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

ETL (extract, transform, and load) technologies, streaming services, APIs, and data exchange interfaces are the core components of this pillar. In terms of implementation, the same technologies may be used for both inbound and outbound, but the functions are different. However, it’s not mandatory to use the same technologies.

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Understanding BI Tools in Today’s Market

Smarten

Find out how business intelligence and analytics technology can support your enterprise and engage the experts to help you choose an approach.’ As the Business Intelligence solution market evolves, it may be difficult for an organization to know when to invest in these tools, and which tools are best for enterprise and user needs.

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6 Case Studies on The Benefits of Business Intelligence And Analytics

datapine

Because things are changing and becoming more competitive in every sector of business, the benefits of business intelligence and proper use of data analytics are key to outperforming the competition. Ultimately, business intelligence and analytics are about much more than the technology used to gather and analyze data.

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What to Consider When Selecting a BI Tool

Smarten

You will want to select a partner that can ensure your growth and provide advanced technologies like artificial intelligence (AI), low-code and no-code development and other advancements in analytics, techniques and concepts.’ Traditional BI Tools include dashboards, key performance indicators (KPIs), reporting , graphs and charts.

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Traditional & Modern BI and Analytics: A Perfect Combination Solutions!

Smarten

The world-renowned technology research firm, Gartner, predicts that, ‘through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives’. Combine Traditional BI with Modern BI and Analytics to Improve User Adoption and Gain Advantage !

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How to Leverage Data Analytics in the Hospitality Industry

Alation

Data analytics techniques, such as machine learning (ML), artificial intelligence (AI), and predictive modeling, can help businesses extract valuable insights from this data to improve operations and customer experience. Meanwhile, predictive analytics enable them to analyze customer market trends.

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How to Leverage Data Analytics in the Hospitality Industry

Alation

Data analytics techniques, such as machine learning (ML), artificial intelligence (AI), and predictive modeling, can help businesses extract valuable insights from this data to improve operations and customer experience. Meanwhile, predictive analytics enable them to analyze customer market trends.