A unified data model allows businesses to make better-informed decisions. How? By providing organizations with a more comprehensive view of the data sources they’re using, which makes it easier to understand their customers’ experiences. A singular, interrelated network that’s connected to one source of truth gives organizations a more efficient, accurate, and comprehensive analysis of […]
Data Strategy Prerogatives That CIOs Need in 2023
Without data, businesses wouldn’t have much to work with when making informed decisions. Data by itself, though, isn’t enough for business leaders to rely on when they’re driving growth; a gigantic collection of data isn’t worth nearly as much as a data strategy defining how you use and manage your data. Without a solid data […]
How Descriptive Analytics Leverages Data for Better Decisions
Organizations are recognizing that data can be a powerful business asset, and are investing in data analytics to provide this valuable tool. According to research, more than 95% of all organizations today incorporate data initiatives into their business strategies. However, most businesses falter when it comes to effective and efficient uses of data. Descriptive analytics, the most […]
Data Lakehouses: The Future Of Data Migration
It’s no surprise that, in 2023, business enterprises want to become truly data-driven organizations. For many of these organizations, the path toward becoming more data-driven lies in the power of data lakehouses, which combine elements of data warehouse architecture with data lakes. Data lakehouse architecture is particularly attractive to businesses that want to more rapidly […]
Goodbye Dashboards: How Modern BI Tools Are Being Used to Analyze Data
Not all that long ago, the only way for businesses to readily access their data was through dashboards. And, even then, these predefined and static dashboards provided data that was restricted only to citizen data scientists and data analysts. Standalone, static dashboards also inadvertently distract users and force them to shift their focus from their typical tasks […]
How a Modern Cloud Analytics Stack Can Optimize the Value of Your Data
Data is vital when it comes to growing a business, but many organizations fail to utilize it properly once it has been collected. At the same time, many forward-thinking businesses, from startups to large corporations, have implemented a modern cloud analytics stack to use data more efficiently. In this article, we will discuss how a modern […]
How Data Privacy Regulations Can Affect Your Business
The importance of consumer data can never be underestimated from a business perspective. It can help identify where a company can grow and improve and highlight any gaps in the service offering. This collection of valuable data has been made harder due to stricter data privacy regulations and a reluctance among consumers to allow their information to […]
Cloud Computing vs. Edge Computing: What’s the Difference?
Much has been said about the mass migration towards cloud-based computing, known by most simply as “the cloud.” Organizations worldwide have shifted to the cloud for better security, scalability, and efficiency. However, much less is known about edge computing, another influential technology gaining traction. Edge computing is increasingly becoming the IT infrastructure of choice for enterprises that […]
Data Preparation and Raw Data in Machine Learning: Why They Matter
In our current digital age, data is being produced at an unprecedented rate. With the increasing reliance on technology in our personal and professional lives, the volume of data generated daily is expected to grow. This rapid increase in data has created a need for ways to make sense of it all. Machine learning is […]
What Is Data-Centric AI All About?
Data-centric AI (DCAI) is a new class of AI technology that focuses on understanding, utilizing, and making decisions based on data. Before data-centric AI, AI was largely reliant on rules and heuristics. While these could be useful in some cases, they often led to suboptimal results or even errors when applied to new data sets. […]