Confiz Logo

Databricks vs Snowflake: 7 major differences to learn

Working with data in the cloud has become a new normal for modern businesses. The flexibility, scalability, and accessibility it offers to access data anytime, anywhere has made it a must-have for data-driven businesses. With virtualized access to data through cloud data platforms, businesses are now processing and gaining insights from their data to drive […]

Reducing customer churn with Modern Data Platform: A quick webinar recap

Customer churn is a silent killer for businesses of all sizes. Losing a customer not only impacts the organization’s immediate bottom line, but also represents a missed opportunity for future growth. Therefore, with high competition and increasing customer expectations among retailers, retaining customers has become more complex than ever. The average customer retention rate in […]

Modern Data Platforms: Your guide to data-driven decisions

In the era of Big Data, organizations are faced with a deluge of data. The focus has shifted from data quantity to deriving actionable insights from this data. Here, a modern data platform (MDP) becomes indispensable, streamlining data access and analysis, and enabling organizations to generate insights and make informed decisions. Data fuels digital transformation […]

The essential roadmap to Data Strategy Assessment

Businesses generate vast volumes of data daily. According to an estimate, by 2025, 181 zettabytes of data will be produced worldwide. Which is huge! Naturally, where there’s data, there are challenges. Data integrity, reliability, validity, data timeliness, silos, and management are some of the common challenges that consistently confront data strategists, data architects, CTOs, and […]

From legacy to agility: A guide to Data Warehouse Modernization

From legacy to agility A guide to Data Warehouse Modernization

Organizations today grapple with an ever-expanding volume of data, requiring more robust solutions than traditional data warehouses can offer. Expanding data volume, processing workloads, and data analysis necessitate additional resources and skilled people. Relying on legacy tools to leverage enterprise data makes it almost impossible to achieve optimal business efficiency and agility in the face […]