Systems | Development | Analytics | API | Testing

4 ways you're not (but should be) using Talend tMap Component

Ever wondered what our most-used components are? Here at Talend, one of my “Shadow IT” jobs is to report on component usage. If you've ever used Talend Studio (either the open source Talend Open Studio or the commercial version) you most likely already know and love the component tMap.

Understanding ERP and Ecommerce Integration

Our Five Key Points: Effective ERP and Ecommerce integration means ensuring your online retail business is taking advantage of every aspect of your enterprise resource planning (ERP) tools. Your ERP gathers a range of digital information about your business, from finances to inventory management. This data could provide insights that boost sales or drive marketing campaigns.

Choreograph Uses Snowflake to Build a Data Mesh to Enhance Data Sharing Across WPP's Vast Enterprise

In order to satisfy client expectations, advertising and media agencies must aggregate, centralize, and mobilize data to augment customer insights, enhance campaigns, and measure attribution. Doing that well is no easy task. For WPP, the world’s largest advertising and media consulting company, that task is made more complicated by the vast amounts of data it owns that is spread over its large network of operating companies (Op-Cos).

Customer Insights | Acting on PlanSpace's Max Hulten's Bizview Suggestions

Today, we are celebrating two product enhancements suggested by Max Hulten of Planspace that were delivered in the latest version of Bizview. We appreciate Max taking the time to share his ideas with us. Recently, we had the pleasure of speaking with him to learn more about his ideas and why he sees value in providing feedback to insightsoftware. Max Hulten, Planspace Co-Founder and Partner has been working with Bizview since 2015, implementing the product for countless customers.

The Power of Exploratory Data Analysis and Visualization for ML

Data scientists and machine learning engineers in enterprise organizations need to fully understand their data in order to properly analyze it, build models, and power machine learning use cases across their business. Due to the lack of tooling specifically designed for data discovery, exploration, and preliminary analysis, this presents a significant challenge for these teams.