Discover how you stack up against industry benchmarks for Google Analytics 4, Google Search Console, and Google My Business metrics.

Organizations that consistently use data for decision-making and improving operations outperform their competition. In fact, B2B companies utilizing data experience above-market growth and earnings increases of 15 to 25%. McKinsey forecasts that by 2025, almost all employees will use data to support their work naturally and regularly. Compare that to how organizations currently apply data-driven approaches—sporadically throughout the organization.

Companies are now making a decisive shift from traditional on-premises Oracle software to Oracle’s cutting-edge cloud solutions. In fact, a recent Gartner report on cloud expenditure found that cross-industry cloud spend has risen from 8% as a percentage of total IT spend in 2018 to 16% in 2022. Worldwide spending on public cloud services is expected to grow by 21.7% in 2023.

By the end of this two-part series, we will dive into what data warehouse architecture is and how to implement one for your organization. Part one will look at architectural layers and common data warehouse components, while part two dives into multi-tiered data warehouse architecture.

Adopting a new business intelligence (BI) solution requires a thorough understanding of its feature-set and functionality in order to ensure analytics is integrated into your business as seamlessly as possible and that the value of your new tool is realized. Previously, we have covered how Yellowfin can be used with Power BI as a complementary solution.

The importance of a well-structured data lake architecture cannot be overstated. As businesses work with an ever-increasing influx of data, the need for a robust, scalable, and efficient data storage solution becomes crucial. Let’s explore Data Lake Architecture Design—a concept revolutionizing how enterprises store, access, analyze, and compute their data.

Confluent and AWS Lambda can be used for building real-time, scalable, fault-tolerant event-driven architectures, ensuring that your application logic is executed reliably in response to specific business events. Confluent provides a streaming SaaS solution based on Apache Kafka® and built on Kora: The Cloud Native Apache Kafka Engine, allowing you to focus on building event-driven applications without operating the underlying infrastructure.

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One of my favorite analogies is that data is the lifeblood of the business. Before you roll your eyes at me (I see it now), hear me out. At your annual physical, when you get your blood work done, think of how much information is uncovered about your overall health from a tiny vial of your blood. From those 10 CCs they extract comes back pages of information regarding your cell counts, glucose, cholesterol, and other information.