Systems | Development | Analytics | API | Testing

When I began working at Qlik nearly seven years ago, it was fairly common for us to end our first meeting with a Federal agency with their team saying: “We need this.

After migrating a Data Warehouse to Google Cloud BigQuery, ETL and Business Intelligence developers are often tasked with upgrading and enhancing data pipelines, reports and dashboards. Data teams who are familiar with SQL Server Integration Services (SSIS) and SQL Server Reporting Services (SSRS) are able to continue to use these tools with BigQuery, allowing them to modernize ETL pipelines and BI platforms after an initial data migration is complete.

Leveraging the Internet of Things (IoT) allows you to improve processes and take your business in new directions. But it requires you to live on the edge. That’s where you find the ability to empower IoT devices to respond to events in real time by capturing and analyzing the relevant data.

Analysts have found that roughly 50% or more enterprise resource planning (ERP) projects fail, and approximately half of all projects are considered challenging.

The scientific method is a proven route to successful, tested and verified improvement. Here’s how to combine it with BI.

Account-based marketing, or ABM, is more often used as targeted demand generation—not one-to-one marketing. In a 2020 study of more than 300 organizations worldwide, Forrester found that “a significant number of respondents claimed they were using an ABM approach but weren’t doing what we would consider the basics of ABM, such as working with sales.”1 ABM isn’t just about assigning one siloed team the responsibility of targeting and revealing high-potential prospects.