What are data insights? Definition, examples and best practices
What makes an insight unreliable? While inaccurate or incomplete data can contribute to the issue, it is not the sole factor. Human error is often a significant challenge. Even with high-quality data, if a team cannot interpret or apply it effectively, the resulting insights can lead to misguided decisions. Ultimately, reliable insights are the foundation of sound decisions, and sound decisions are the cornerstone of effective strategies. Let us examine how to transform raw data into insights that deliver tangible value.
Business intelligence vs. business analytics: Understanding the key differences
To make intelligent decisions, tackle challenges, and stay profitable, specific tools and strategies are needed to turn that data into actionable insights. That's where business intelligence (BI) and its close relation, business analytics, come into play. These are methods for managing and interpreting data to uncover valuable insights. But how do they differ, and which is best used in different scenarios?
Build vs buy: where should you focus your development efforts?
Businesses will face the same dilemma when making decisions about technology investments, do we buy or build? We outline some common concerns that arise during the buy vs. build debate and how to overcome them.
Embedded analytics incorporates data through visualizations like charts and dashboards within an application or web portal. Read this blog to discover what it involves and how it differs from Business Intelligence.