Systems | Development | Analytics | API | Testing

Of the many things one might take for granted, access to banking and financial services may not immediately come to mind. But as a thought experiment, imagine trying to buy a home or a car without the ability to take out a loan. Try depending on cash payments from your employer, or relying on alternative banking solutions like short-term payday loans, check-cashing services, and prepaid debit cards.

Navigating the complex world of data, businesses often grapple with raw, unstructured information; this is where data wrangling steps in, turning chaos into clarity. Seamlessly intertwined with ETL processes, data wrangling meticulously refines and prepares data, ensuring it's not just ready but optimized for insightful analysis and decision-making.

You can’t rank well in Google if its crawlers are unable to access your website. Sure, 404 errors and internal links have a part to play in how Google spiders find their way around your site. But we wanted to find out how big of an impact your site structure on SEO. And, if so, how you can optimize your website to make it easier for Google (and your users!) to navigate. So in this guide, we cover.

Recent Fivetran data model releases help companies get insights out-of-the-box and seamlessly build a Customer 360.

Have you heard this quote from Edwards Deming? – “In God we trust, all others bring data.” In today’s competitive landscape, if you’re not measuring your performance and closely analyzing each relevant data point, you’re not going to see much success with your strategies. This is the golden rule no matter what type of business you run – whether you’re a small, local jewelry store or Coca-Cola. And KPIs (key performance indicators) help us do just that.

Building a smart call center app based on generative AI is a promising solution for improving the customer experience and call center efficiency. But developing this app requires overcoming challenges like scalability, costs and audio quality. By building and orchestrating an ML pipeline with MLRun, which includes steps like transcription, masking PII and analysis, data science teams can use LLMs to analyze audio calls from their call centers. In this blog post, we explain how.

The ability to perform custom text analysis in a variety of ways makes our toolset even more comprehensive and user-friendly.