Systems | Development | Analytics | API | Testing

Your Data Stack Needs An Upgrade - Here's Why

What if prepping, integrating, and modeling your data was as simple as chatting with an AI agent? No complex configurations. No steep learning curves. Just fast, intelligent results powered by natural language and agentic AI. In Episode 3 of the Round Table Series, we explore why an Agentic Data Management Platform is the next generation of data technology. It is smarter, faster, and fully autonomous.

Connect Workday to Your BI Tools with Simba Driver from insightsoftware

Looking to streamline data access from Workday? The Simba Workday ODBC/JDBC Driver from insightsoftware makes it easy to connect Workday data to your preferred BI and analytics tools — including Power BI, Tableau, Qlik, and more. Enable seamless data access Build dashboards without manual exports Improve decision-making with real-time insights Whether you’re a financial analyst, data engineer, or IT leader, this driver empowers you to unlock the full value of your Workday data — securely and efficiently.

What's New in ThoughtSpot's Latest Release

Check out what’s new in ThoughtSpot’s latest release! Access data literacy skills within Spotter, and have your agent explain the data model. Now also offering contextual suggestions for questions and additional details on calculations. KPI alerts can now also trigger only for specific attributes and values, enabling more focused and contextual decision-making. Fully customize your user interface by using String IDs for custom system text in white-labeled scenarios.

No More Ad Spend Surprises: Weekly Report for Ecom #agencylife #marketinganalytics #ecommerce

Solutions Partner Jeffrey Broger at JJB Industries shares how he helped a global eCommerce brand: Combine Shopify, Meta, and Google Ads into one dashboard Track ROAS and spend by country Replace manual updates with automated weekly reports Give clients real visibility—and control—over their marketing Now his client can make smarter decisions and avoid costly surprises, like overspending or shutdowns.

What's Next in Data Streaming: 4 Key Trends for IT Leaders | Life Is But A Stream Podcast

Is your data strategy keeping up with your AI ambitions? In this special episode, we unpack findings from Confluent’s 2025 Data Streaming Report—a global pulse check on how IT leaders (4,000+ to be specific) are using data streaming to drive innovation, faster time to market, and reduce costs and complexity.

#shorts - The Straight Table Just Leveled Up

Time for a new - The new Straight table in Qlik Cloud Analytics has officially taken center stage. With more styling options, flexible layouts, and enhanced interactivity, it’s a serious upgrade for your dashboards. If you haven’t tried it yet, now’s the time to see what’s new and start planning your move. Watch the video to get a quick look!

An Open Letter to Informatica Customers

Over the past few weeks, I’ve spoken with a number of leaders who are digesting Salesforce’s move to acquire Informatica and what it will mean for them. If you are doing the same, I get it. Informatica has been an established company but in recent years pushing customers to move to their cloud only platform, will this accelerate this in particular with their recent PowerCenter end-of-support news?

200+ Data Privacy Statistics: Fines, Laws, and Consumer Behavior

The digital landscape is changing. More and more, consumers are realising the importance of data privacy. This shift in mindset is something businesses must attune to if they hope to build strong relationships with their customers. The phasing out of third-party cookies by Google at the end of 2024 and global regulations like GDPR and CCPA tightening data collection mean companies that embed privacy as a core part of their operations have the most to gain.

What is Data Completeness Index for ETL Data Pipelines and why it matters?

Data completeness in ETL pipelines refers to whether all expected data has been successfully processed without missing values or records. The Data Completeness Index (DCI) is a metric that quantifies the percentage of complete data fields in your ETL processes, helping organizations identify gaps that could lead to faulty analytics or business decisions. When your data completeness testing in ETL processes reveals a high DCI score, it indicates reliable data that stakeholders can confidently use.