Learn all about data, straight from the mouths of the experts.

Effective data strategy begins early, with fearless data exploration! This article highlights how developing a solid data strategy at the outset uncovers hidden data realities and shapes BI efforts to better align with the business, while preparing companies to move beyond reporting to proactive, predictive analytics.

Learning how to think like a product manager to deliver better data products means moving beyond ticking off a list of features and focusing instead on the results those features deliver. In the end, it’s not about what you build, but what difference it makes.

Understanding three critical hurdles is essential for healthcare organizations aiming to transform raw data into improved patient care without compromising security or compliance. This article explores these core barriers and offers practical insights on how to overcome them to bring calm to the chaos of healthcare data projects.

A global pharmaceuticals company was struggling to turn their data into a strategic asset. Their legacy data warehouse environment was disconnected, hard to scale, and slow to deliver insights.

In this blog, we walk step-by-step through one case study of a hospital's data maturity, culminating in a guide to strategically adding resources to progress up the data pyramid as a provider.

Selecting the right CDC tool involves balancing your environment, latency, and scalability needs against team capabilities and budget in the context of your actual data workflows. Here's what's out there and how to choose.

Cleaning up a data model is a strategic investment in the reliability, performance, and trustworthiness of your data products, and it should be looked upon as much more than a technical exercise. By following best practices like trimming unused data, filtering dimensions, indexing keys, and optimizing high-cardinality fields, you can transform a sluggish, error-prone model into a streamlined engine for insight.

DI Squared, a leading data consultancy specializing in building reliable and scalable analytics ecosystems, today announced a strategic partnership with Astrato, a self-service cloud BI platform. Together, they aim to revolutionize how organizations access, analyze, and act on data across their enterprises.

Learn about key strategies for Qlik app development. The core elements of the Qlik development checklist are a programmatic way of breaking down tasks into manageable bites and checking your work to make sure it’s as thorough as it can be.

Change Data Capture (CDC) is a powerful technique that enables organizations to track and respond to changes in their data in real time, fueling everything from analytics pipelines to data replication. In this guide, we'll explore the core concepts, implementation strategies, and best practices for leveraging CDC to unlock the full potential of your data ecosystem.

In this post, we’ll quickly identify the key differences between Snowflake managed Iceberg tables, externally managed Iceberg tables, and where the emerging Snowflake Open Catalog fits.

Part of a three-part blog series exploring the capabilities, use cases, and future potential of the Qlik Ops Toolkit, an open-source framework developed collaboratively by DI Squared and Pupfish Analytics to streamline the administration and migration of Qlik environments.

Using federated queries is ideal for large-scale, highly structured data within enterprise warehouses, not random business unit data or loosely organized data silos. And that's where Starburst Galaxy proves its mettle.

Trust the journey. Your trek to data maturity is the point, and it’s our focal point in this article.

Qlik Connect 2025 is shaping up to be an extraordinary event for those eager to push the boundaries of their analytics capabilities. With a lineup of great sessions, this year’s conference promises true connections between real-life success stories from industry leaders AND the current state of the analytics industry.

Boost user adoption with proven change management strategies. Learn to measure progress, overcome resistance, and lead impactful transitions.

Learn how to build a complementary, high-performing data team that thrives on collaboration using the "four personas" method. Discover practical strategies for creating a balanced team that will boost innovation while building one another up.

Start identifying real problems that end users need solved and stop overfocusing on "nice to haves". Prioritize your data work based on clear business objectives that deliver value. Here's how.

Your quick guide to free tools for Snowflake change management to enhance data governance and automate deployments.

Discover how dbt simplifies data orchestration in CRM migration projects. Learn about templating, YAML configurations, and robust testing to ensure clean and reliable data transitions.

Learn how to use the Agile methodologies that are best suited for your organization and specific purposes. Find better ways of measuring data team success!

Check out practical methods for sharing analytics insights effectively across your org. Learn how to utilize BI tools, embed dashboards, and distribute reports without costly software licenses. Simple, impactful, and accessible.