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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.

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.

In financial services, data is essential for storing product information, capturing customer details, processing transactions and keeping records of accounts; the relationship between products and their underlying data has always been symbiotic. A significant amount of data infrastructure is static, fragmented across data silos or based on legacy platforms. This has created an impedance mismatch between products and the underlying data.

June is the month which holds the summer solstice, and (at least in the northern hemisphere) we enjoy the longest days of sunshine out of the entire year. Just as the sun is making its longest trips across the sky, the BigQuery team is delighted to announce our next set of user-friendly SQL features.

When ATB Financial decided to migrate its vast SAP landscape to the cloud, the primary goal was to focus on things that matter to customers as opposed to IT infrastructure. Based in Alberta, Canada, ATB Financial serves over 800,000 customers through hundreds of branches as well as digital banking options. To keep pace with competition from large banks and FinTech startups and to meet the increasing 24/7 demands of customers, digital transformation was a must.

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.

Data pipeline performance hinges on several important techniques, including algorithmic optimization and parallelization.