Systems | Development | Analytics | API | Testing

Integrate

What is the Best ETL Method for Data Analysis?

The five critical elements of ETL methods for analyzing data: ETL is a critical process necessary to discover the nuggets of truth locked inside a business’s vast ocean of data. Different data points, once analyzed as a whole, help businesses make smarter, more informed decisions. Companies that create substantial data figures, all coming from different, separate sources, find that ETL impacts the business’s decisions considerably. But what is ETL?

Performing Analytics on Call Center Data

Ask any executive if they know what’s going on in their call center, and they’ll assure you they are in control and they know what’s going on. (Executives are always in control and always know what is going on, or so they say.) Then ask the executive what’s actually taking place in the call center, and the executive will say, "We get 10,000 calls each day, and the calls last for 4 ½ minutes." Press the executive a little more: "What are your customers actually saying?

How Xenon Partners Designed an End-to-End No-Code Data Transformation Pipeline With Integrate.io on BigQuery

Every business relies on a number of IT systems for daily operations. Each of these systems contains valuable data that is essential for tracking success metrics, forecasting future trends, monitoring daily operations—and most importantly, steering businesses on the proper course. However, creating data transformation pipelines to integrate data into a cloud data warehouse for analysis is challenging.

Best BI Tools for Ecommerce | Integrate.io

Our three key points are: How well do you really know your Ecommerce business? If you have no way of accessing your store’s real-time big data, you can’t see a snapshot of your business at any point in time. Without a business intelligence software platform or BI tools, you’re missing out on real-time benefits.

5 Signs of a Rookie Mistake in Data Management

This is a guest post by Bill Inmon, an American computer scientist. Many industry leaders recognize him as the father of the data warehouse. Inmon authored the first book, held the first conference, and wrote the first magazine column on data warehousing. He currently focuses on developing the revolutionary technology known as textual ETL.

10 Critical E-commerce Metrics To Track Unified Customer Insights

Digital industries have come a long way in recognizing the value of their customers' data for making well-informed and timely decisions. Businesses invest a lot in implementing innovative strategies, but they also need some metrics to observe the effectiveness or success of those strategies to drive future decisions. Like any other industry, metrics in the e-commerce industry are quantifiable measures of an online business's performance.

What Is ETL, and Why Should Ecommerce Businesses Use It?

Here are five things to know about ETL and how it benefits your Ecommerce business: Think about all the data that exists in your Ecommerce business. That might include customer data, inventory data, sales data, advertising data, and social media data. Now think about all the software and systems that store that data. These might include transactional databases, relational databases, customer relationship management (CRM) systems, enterprise resource planning (ERP) systems, and SaaS tools.

Challenges of Textual Data and the Progression of Textual Analytics

In the beginning, simple systems collected data, wrote data to files, and created reports. For the most part, these systems operated on transaction-based data—bank deposits, sales, telephone calls, and the like. An entire infrastructure supported these essential business systems, but there was little or no place for text. All data was highly and tightly structured, and text was ignored.

How Do I Enrich My Data: Data Management and ETL

Five things you need to know about how to enrich data ETL: All business decisions happen based on the data that’s available. It makes sense, then, that the more detailed that data is, the more effective those business decisions can be. That’s where data enrichment comes in. When e-commerce companies enrich data, they can improve data analysis and business intelligence and make smarter, more informed decisions.

Futuristic Ecommerce Data Trends--Are They Within Our Reach?

Digitalization has significantly accelerated ever since the 2019 pandemic. Fortunately, Ecommerce is a flexible industry that is capable of constantly evolving with changing digital trends and global developments. Customers today use multiple devices like smartphones, laptops, and desktops, and employ all these channels to gather product information. Ecommerce businesses offer omnichannel shopping for these customers to seamlessly shop between all these devices, with multiple payment options.