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Conventional databases are no longer the appropriate solution in a world where data volume is growing every second. Many modern businesses are adopting big data technologies like data lakes to counter data volume and velocity. Data lake infrastructures such as Apache Hadoop are designed to handle data in large capacities. These infrastructures offer benefits such as data replication for enhanced protection and multi-node computing for faster data processing.

Here’s what you need to know about how to use your customer data platform (CDP) as your data warehouse: Whether you’re a mom-and-pop store or an ecommerce giant, understanding the customer journey is crucial to your organization’s success. When you collect data across a wide range of customer touchpoints, you can use this wealth of information for many different use cases: performing audience segmentation, improving your marketing campaigns, boosting customer engagement, and more.

This is a guest post with exclusive content by Bill Inmon. Bill “is an American computer scientist recognized by many as the father of the data warehouse. Inmon wrote the first book, held the first conference, wrote the first column in a magazine, and was the first to offer classes in data warehousing.” -Wikipedia. The five critical considerations for corporate loyalty.

Data fuels the growth of any modern organization, but what happens when the fuel goes bad? The growth stops. Data-driven enterprises rely heavily on their collected information to make important business decisions, but if this information contains errors, the organization may have to suffer huge losses. In 2021, Gartner reported that organizations incur an average loss of USD 12.9 million due to poor-quality data.

The better you understand your customers, the better you can optimize and focus your marketing and products. This is where a customer data platform (CDP platform) can help. A CDP platform automates the process of aggregating and analyzing historical and real-time customer data from the widest variety of sources. Then it transforms that data into accurate and actionable business insights.

This is a guest post with exclusive content by Bill Inmon. Bill Inmon is a prominent American computer scientist and prolific author, recognized by many as the father of data warehousing. Inmon has written over 60 books, including the first book exploring the core concepts of data warehouses. Inmon also held the first data warehousing conference and has written for many respected data management publications, as well as offering classes in data warehousing.

Modern organizations have multiple touch points continuously collecting customer data. Data collection is essential for firms that use it for personalized marketing campaigns and improving customer experience. Analytics provided by this data help enterprises observe customer behavior and make critical business decisions. However, before firms can explore any use cases, it is crucial for them to recognize the data touch points where vital information is collected.

It’d be hard to find anyone who’d say that taking a data-driven approach to business decisions is not worthwhile. Yet, so many businesses aren’t doing it because, as simple as it may sound on paper, it takes a great deal of strategic planning to pull off. One of the most crucial tools when it comes to accomplishing a data-driven decision-making process is known as ETL.

This is a guest post for Integrate.io written by Bill Inmon, an American computer scientist recognized as the "father of the data warehouse." Inmon wrote the first book and first magazine column about data warehousing, held the first conference about this topic, and was the first person to teach data warehousing classes.

The customer journey is the decision-making process each buyer goes through before converting to a paying customer of your business. Mastering this journey will require an in-depth understanding of each stage and how you can continually improve your efforts. To understand this journey, you need to take a customer-centric approach, putting yourself in your customer’s shoes to understand their point of view.