Introduction: Why Data is Your Business’s Pulse In today’s digital landscape, data transcends being merely a component of business operations; it emerges as the cornerstone, propelling insights, fostering innovation, and crafting a competitive advantage. Central to harnessing this data is adopting Large Language Models (LLMs). In this domain, Lovelytics leads in integrating these technologies into … Read more
Insights
In the constantly evolving landscape of data management and analytics, the adoption of advanced platforms like Databricks marks a pivotal shift, signaling a new age of enhanced efficiency, deeper insights, and unified data intelligence. This significant transformation is not just a leap forward in technology, but also a crucial moment for an important group within … Read more
Embarking on a journey toward data excellence requires more than just technological prowess; it demands a strategic approach that unifies, organizes, and empowers every facet of your data ecosystem. The expert advisors and engineers at Lovelytics understand the pivotal role that efficient data management plays in driving business success. Join us as we explore the … Read more
As the Sphere shut its tired eyes on AWS re:Invent 2023, our team at Lovelytics is excited to share a quick-hit recap of the most relevant highlights from the intersection of cutting-edge technology and data empowerment. 1. Keynote Highlights: AWS re:Invent kicked off with a visionary keynote, emphasizing the role of data in shaping the … Read more
I’ve always found web scraping interesting, there’s a massive trove of data available to us in a wide array of formats- it presents the perfect ‘big data’ problem, how can we capture, ingest, analyze, and leverage this data? To keep things relevant for a broader audience, I’m going to focus on the capture and ingest … Read more
One feature of tableau prep is the ability to help with data cleansing. Data cleansing is the process of detecting and correcting (or removing) corrupt or inaccurate records from a dataset, table, or database and refers to identifying incomplete, incorrect, inaccurate, or irrelevant parts of the data and then replacing, modifying, or deleting the dirty … Read more
