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Get Ready For These Six 2020 Business Intelligence Trends

Smart Data Collective

More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. Here are the six trends you should be aware of that will reshape business intelligence in 2020 and throughout the new decade.

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Big Data Offers Tremendous Benefits to Business Intelligence Solutions

Smart Data Collective

Business intelligence can help you gain a more accurate perspective on how your business is performing using key performance metrics. By 2023, 33% of companies will practice decision intelligence. Are you looking to use business intelligence to optimize business and security operations?

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Emerging Data Science Trends in 2025 You Need to Know

Pickl AI

Trends in data science reflect technological advancements, evolving business needs, and new analytical methodologies that shape how data is collected, processed, and utilized. For data scientists and aspiring professionals, awareness of these trends guides skill development and career growth in a rapidly changing landscape.

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Data lakes vs. data warehouses: Decoding the data storage debate

Data Science Dojo

By using this method, you may speed up the process of defining data structures, schema, and transformations while scaling to any size of data. Through data crawling, cataloguing, and indexing, they also enable you to know what data is in the lake. To preserve your digital assets, data must lastly be secured.

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Exploring the fundamentals of online transaction processing databases

Dataconomy

Conversely, OLAP systems are optimized for conducting complex data analysis and are designed for use by data scientists, business analysts, and knowledge workers. OLAP systems support business intelligence, data mining, and other decision support applications.

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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

Data models help visualize and organize data, processing applications handle large datasets efficiently, and analytics models aid in understanding complex data sets, laying the foundation for business intelligence. Cloud providers offer data redundancy and backup solutions to ensure data durability.

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Celebrating 40 years of Db2: Running the world’s mission critical workloads

IBM Journey to AI blog

Don Haderle, a retired IBM Fellow and considered to be the “father of Db2,” viewed 1988 as a seminal point in its development as D B2 version 2 proved it was viable for online transactional processing (OLTP)—the lifeblood of business computing at the time. Db2 (LUW) was born in 1993, and 2023 marks its 30th anniversary.

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