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Sep 28, 2022   |  By Hannon Brett
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.
Sep 26, 2022   |  By Terence Bennett
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.
Sep 23, 2022   |  By Bill Inmon
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.
Sep 21, 2022   |  By Hannon Brett
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.
Sep 19, 2022   |  By Donal Tobin
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.
Sep 16, 2022   |  By Bill Inmon
This is a guest post for 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.
Sep 14, 2022   |  By Felix Knott
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.
Sep 13, 2022   |  By Abe Dearmer
Organizations of all sizes and industries now have access to ever-increasing amounts of data, far too vast for any human to comprehend. All this information is practically useless without a way to efficiently process and analyze it, revealing the valuable data-driven insights hidden within the noise. The ETL (extract, transform, load) process is the most popular method of collecting data from multiple sources and loading it into a centralized data warehouse.
Sep 12, 2022   |  By Hannon Brett
Our five key points: Your data management processes are only as effective as the quality of the data you collate. Gaining access to as much data as possible is vital if you want the business-critical insights that can set you apart from the crowd. For Ecommerce businesses, so many of the resources you use are online, such as cloud-based SaaS, ERPs, or CRMs.
Sep 9, 2022   |  By Bill Inmon
This is a guest post with exclusive content by Bill Inmon. Bill Inmon “is an American computer scientist, recognized by many as the father of the data warehouse. Inmon wrote the first book, first magazine column, held the first conference, and was the first to offer classes in data warehousing.” -Wikipedia. Our key points: One of the characteristics of most computing and analytical environments is that the environment consists of only one type of data.
Feb 23, 2022   |  By Integrate - the data warehouse integration platform designed specifically for e-commerce. Transform your data warehouse into a data platform with’s ETL, ELT, Reverse ETL, and API Management offerings. Your data warehouse is no longer a place where your data goes to get stored. Your data warehouse needs to sit at the center of your operations and be the heartbeat of your organization.
Jan 11, 2022   |  By Integrate
Instead of the normal ETL or ELT process, we’ll do the opposite, Reverse ETL. Using Reverse ETL allows you to pull customer data from your data warehouse, then push data back into your CRM to empower your sales team. Learn how to enhance your lead data and win more deals during this webinar.
Oct 22, 2021   |  By Integrate
In this video, we will set up a database connection in Amazon RDS with Xplenty. AWS RDS is a feature-rich and mature offering that makes it easy for even less tech-savvy users to operate their own relational databases. Xplenty can help you gain the most benefit from your Amazon RDS deployment. Xplenty offers comprehensive data analysis and management and can integrate your Amazon RDS database with dozens of other services and products. In this way, you can use the technology stack that gives your business the greatest advantage.

Integrate’s cloud-based, easy-to-use, data integration service makes it easy to move, process and transform more data, faster, reducing preparation time so businesses can unlock insights quickly. With an intuitive drag-and-drop interface it’s a zero-coding experience. Integrate processes both structured and unstructured data and integrates with a variety of sources, including Amazon Redshift, SQL data stores, NoSQL databases and cloud storage services.

The most advanced data pipeline platform:

  • A complete toolkit for building data pipelines: Implement an ETL, ELT or a replication solution using an intuitive graphic interface. Orchestrate and schedule data pipelines utilizing Integrate’s workflow engine. Use our rich expression language to implement complex data preparation functions. Connect and integrate with a wide set of data repositories and SaaS applications.
  • Data integration for all: We believe that anyone should be able to create ETL pipelines regardless of their tech experience. That's why we offer no-code and low-code options, so you can add Integrate to your data solution stack with ease. For advanced customization and flexibility, use our API component. You can also connect Integrate with your existing monitoring system using our service hooks.
  • An elastic and scalable cloud platform: Let Integrate handle ops – deployments, monitoring, scheduling, security and maintenance – while you remain focused on the data. Run simple replication tasks as well as complex transformations taking advantage of Integrate’s elastic and scalable platform.
  • Support you can count on: Data integration can be tricky because you have to handle the scale, complex file formats, connectivity, API access and more. We will be there with you along the way to tackle these challenges head on. With email, chat, phone and online meeting support, we’ve got your back.

Big Data Processing Simplified. No Coding. No Deployment.