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Data Integration for B2B E-Commerce, Explained

Five things to know about data integration for B2B ecommerce: Business-to-business (B2B) ecommerce companies share many of the same data integration obstacles as their business-to-consumer (B2C) counterparts—managing multiple data types, abiding by data governance guidelines, merging data with partners, etc. Still, many data integration solutions cater specifically to ecommerce enterprises in the B2C space, so integrating data remains a challenge for the B2B sector.

Processing Unstructured Data 101

Here are five things to know about processing unstructured data: Unstructured data is big. Really big. According to an MIT Sloan School of Management study, 80-90 percent of data is unstructured information such as photos, text, audio, emails, and social media posts. This should come as no surprise to e-commerce retailers who collect and store unstructured data from invoices, online product reviews, sales presentations, and chatbot conversations with customers.

Extending BigQuery Functions beyond SQL with Remote Functions, now in preview

Today we are announcing the Preview of BigQuery Remote Functions. Remote Functions are user-defined functions (UDF) that let you extend BigQuery SQL with your own custom code, written and hosted in Cloud Functions, Google Cloud’s scalable pay-as-you-go functions as a service. A remote UDF accepts columns from BigQuery as input, performs actions on that input using a Cloud Function, and returns the result of those actions as a value in the query result.

ThoughtSpot Launches New Editions for Individuals and Teams to Democratize the Modern Analytics Cloud

New edition enables companies of any size to take advantage of the Modern Analytics Cloud and build their business on data, paying only for what they use instead of shelfware licenses sold by traditional analytics vendors.

ThoughtSpot Expands the Modern Analytics Cloud to Help Companies Dominate the Decade of Data

New capabilities empower customers to use insights to drive actions, take advantage of any kind of visualization, and embed Live Analytics seamlessly into products and services to get the most value from the entire Modern Data Stack.

Why Drag and Drop Analytics are Important for Seamless BI Reporting

Drag and drop analytics are more interactive and user-friendly compared to traditional, high code business intelligence (BI) solutions. They allow users without programming experience to easily explore the data and don't require coding knowledge, with a drag and drop user interface to conveniently enhance functionality of any dashboard report. In this post, you will find the importance of drag and drop analytics for more seamless reporting and user experiences when analyzing business-critical data.

A Guide to Free Data Integration Tools

In the 21st-century business world, data reigns supreme. This means that how organizations to store, organize, move, and automate their valuable company data is crucial for overall success. When it comes to data management, having a great data integration solution in place is key. The process of data integration allows users to combine data from multiple sources, creating a data pipeline.

Leadership Tips: Keeping Data Teams Focused & Engaged | Data Legends Podcast

How do you keep your data team focused and build something that people will derive value from? In this episode, we cover team engagement, how to evaluate tech, and the influence of consumer analytics on innovation. Listen to our conversation with Raheem Daya, Sr. Software Development Manager, Envision Engineering at Amazon Web Services: How to set a clear vision and keep your data team engaged How to decide what tech to invest in and build How consumer tech is democratizing data