Practical articles on data strategy, engineering, dashboards and AI, built from real projects.
Data quality is built on accuracy, completeness, consistency, timeliness, validity, uniqueness, and integrity, ensuring data is reliable, relevant, and fit...
A few years ago, Looker emerged as a standout BI platform, back then known for its powerful semantic layer, integration...
Transaction data and behavioral data are essential for understanding user interactions with your product or service, but they serve different...
Last week, I wrote a blog post about my initial impressions of GoodData (First impression of GoodData). This week, I...
To make a comprehensive comparison of the data visualization tools out there, I spent the last few days exploring various...
Imagine the frustration: you’re a marketer, pouring your heart and soul into building stellar campaigns. But when it comes to...
Machine Learning (ML) and Artificial Intelligence (AI) have become crucial tools for businesses today. Over the years, at i-spark we...
Comparing AI and Machine Learning What is Artificial Intelligence (AI)? Ask a random person on the street, and they might...
Ensuring the accuracy of data pipelines is an important aspect for any data-driven organization. As more and more organizations increasingly...
As a consulting firm specializing in implementing Klipfolio across various data sources, including Salesforce, we at i-spark are committed to...
To ensure a robust protection of individuals’ personal data while also fostering innovation and economic development in the European Union,...
In the previous articles, we explored roles and integration issues. In this final article in a series of three on...