Yellowfin's roadmap: automated analytics, mobile, and data interpretation
As analytics software vendors, we need to do something profoundly different to improve how business users access, consume, and interact with data.
As analytics software vendors, we need to do something profoundly different to improve how business users access, consume, and interact with data.
When doing data matching with large sets of data, consideration should be given to the combinations that can be generated, and it’s associated effects on performance. This has an effect when using Talend’s Data Integration Matching and Data Quality components. Matching routines do not scale in a linear fashion.
Ever find yourself in your closet searching for an article of clothing or trying to squeeze one more hangers on the rack? I took the better part of the afternoon on Saturday to clean out my closet. It made me realize a few key things. I am a pack rat and this clean up exercise took way longer than I thought. I anticipated the exercise taking 30-45 minutes tops. How hard could it be? What I discovered 3 hours later is I keep too many unnecessary items.
Track and visualize all of your online store KPIs like sales, orders placed, best-selling products (and more!) with Databox.
We know that data is a key driver of success in today data-driven world. Often, companies struggle to efficiently integrate and process enterprise data for fast and reliable analytics, due to reliance on legacy ETL solutions and data silos. To solve this problem, companies are adopting cloud platforms like Microsoft Azure to modernize their IT infrastructure.