Analytics

If personally identifiable information (PII) falls into the wrong hands, it could have devastating consequences for both you and the affected individuals. But what if you could transform that information so that it would be useless to any attacker? That’s exactly what PII masking seeks to do. So what is PII data masking exactly, and how does PII masking help safeguard your sensitive and confidential information from PII data breaches? Keep reading for all the answers.

How SaaS providers can build bulletproof data replication APIs.

ERP (enterprise resource planning) software helps organizations streamline and optimize their processes and workflows by maximizing efficiencies and enabling better reporting, intelligence, and analytics. From human resources and logistics to finance and sales, nearly every department can benefit from the judicious use of the right ERP software.

For all of the buzz surrounding both artificial intelligence and data-driven management, many companies have seen mixed results in their quest to harness the value of enterprise data. To avoid those pitfalls, we mixed best-of-breed and proprietary solutions to develop our enterprise data platform (EDP), focusing much of our attention on a combination of smart changes in technology, culture and process for data lakes.

Like most organizations, Yellowfin has a CRM tool. The data in your CRM should be able to help you understand how you’re selling and how you win. But everyone I speak to is frustrated by the analytics they get from their CRM. We realized very quickly that the reporting in our CRM tool wasn't meeting our needs, so we built our own solution.

Amazon Redshift supports native integration with Fivetran. Here’s how to set it up.

Sometimes, the data you want to analyze lives in AWS S3 buckets by default. If that’s the case for the data you need to work with, good on you: You can easily ingest it into an analytics tool that integrates with S3. But what if you have a data source — such as logs generated by applications running in a Kubernetes cluster — that isn’t stored natively in S3? Can you manage and analyze that data in a cost-efficient, scalable way? The answer is yes, you can.

A data architecture expert gives a crash course on moving analytics to the cloud — including a step-by-step plan to ensure success.