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How to Prepare Data for Microsoft Power BI

For data analysts, business intelligence professionals, and CTOs to optimize and scale business operations, they must first understand the business data that is available to them. One of the best platforms to turn complicated data points from multiple platforms into a singular, coherent data set is Microsoft Power BI. However, you must first prepare the data sets to eliminate fragmentations and create structural consistency. This article explores how to prepare data for Microsoft Power BI.

PII Pseudonymization: Explained in Plain English

Data processors handle an abundance of data — including personal information about individuals. As the collection and use of data become more widespread, governments continue to enact laws that protect personally identifiable information (PII). Failing to comply with such laws means risking serious fines and penalties, and damaging public trust. Masking PII through pseudonymization is one way to protect it.

Privacy & Security Rules for Healthcare Marketers

Marketing is more complex if you're engaged in the healthcare field. Whether you work with patients or market to consumers interested in healthcare products, it's important to understand HIPAA guidelines. This article explains the basics of HIPAA Privacy and Security Rules, and how this legislation affects your marketing strategy.

What is Customer Data Ingestion?

The verdict is in: The more you analyze your customer data, the better chance you have of outperforming your business rivals, attracting new prospects and providing excellent service. For example, a report by McKinsey & Company has good news for companies who are "intensive users of customer analytics:" Their chances of excelling at new customer acquisition and being highly profitable are 23 and 19 times more likely, respectively, than those of their competitors.

Pushing Data from a Data Warehouse to Salesforce

Salesforce is the world’s leading CRM (customer relationship management) software, with a 20 percent market share. The Salesforce CRM software is chock-full of features for business intelligence (BI) and analytics so that you can capture hidden insights and make smarter, data-driven decisions. The traditional ETL (extract, transform, load) process extracts data from one or more sources and then deposits it into a centralized data repository.

PII Pseudonymization is the New Normal

Businesses rely on personal data to better tailor their approach to customer relations and streamline a marketing strategy suited to their target audience. In today's business climate, holding onto the personally identifiable information (PII) of specific individuals for various marketing and customer services purposes requires secure storage and extraction. PII pseudonymization is the latest and greatest method for protecting personal data.

Secure PII Pseudonymization: How to Do It Right

With news of a devastating data breach constantly in the headlines, you need to take proactive steps to safeguard the personally identifiable information (PII) that your organization stores and processes. Along with techniques such as PII masking, PII pseudonymization is one of the most popular and practical ways to protect sensitive data. But what is PII pseudonymization, exactly, and how can you pseudonymize PII? We’ll answer these questions and more in this article.

AWS Data Pipeline Best Practices

Knowing best practices for Amazon Web Services (AWS) data pipelines is essential for modern companies handling large datasets and requiring secure ETL (Extract, Transform, Load) processes. In this article, we discuss AWS data pipeline best practices to ensure top performance and streamlined processes — without complications that can impede the execution of data transfer.