Systems | Development | Analytics | API | Testing

It’s great when analysts, media members and industry thought leaders tout your company’s leadership; it’s a point of pride for all of us behind the scenes working to continually improve Qlik Sense’s position as a leading and world-class analytics platform. However, the biggest praise (for me) comes from customers/users – the people Qlik Sense helps – whose recognition assure me we’ve really delivered.

Snowflake was architected with cross-cloud security built into its core, providing multiple layers of robust protection from network access, to authentication and access control, to data protection using encryption (for more details on Snowflake security, check out the on-demand session from Snowflake Summit). For the most-regulated customers around the world, enabling private connectivity is a critical first line of defense.

It’s one of the great paradoxes of doing business in the 21st century: Customers expect more personalized products and services even as in-person customer contact decreases. This is just one of several disruptive trends facing every industry. At the first day of Hitachi Financial Services Summit 2021, I addressed these challenges in a keynote session with Marek Chlebicki of Raiffeisen Bank International.

Salesforce is the world’s leading CRM (customer relationship management) platform: More than 100,000 organizations use it worldwide. Thanks to its vast array of powerful features, it’s no surprise that Salesforce has become the most popular software as a service (SaaS) CRM, with an estimated 18 percent market share. Despite this functionality, Salesforce can’t do everything alone.

Raw data—like unrefined gold buried deep in a mine—is a precious resource for modern businesses. However, before you can benefit from raw data, the process of data transformation is a necessity. Data transformation is the process where you extract data, sift through data, understand the data, and then transform it into something you can analyze. That’s where ETL (extract, transform, load) pipelines come into play.

Data is the lifeblood that runs through your organization. It powers automated workflows, gives customer service reps the full story every time the phone rings, drives every upgrade planned for a product, informs decision-making leaders on what to focus next, and an endless list of etceteras. Wouldn’t it be amazing to have all your data in one place? Yes. Can you? Well…. It’s complicated.

A performance report delivers a plateful of benefits. Here are 9 examples of how these reports helped SaaS experts improve their product.

Analysts and data scientists use SQL queries to pull data from the data storage underbelly of an enterprise. They mold the data, reshape it, and analyze it, so it can offer revenue-generating business insights to the company. But analytics is only as good as the material it works with. That is, if the underlying data is missing, compromised, incomplete, or wrong, so will the data analysis and inferences derived from it.

As Halloween night quickly approaches, there is only one question on every kid’s mind: how can I maximize my candy haul this year with the best possible candy? This kind of question lends itself perfectly to data science approaches that enable quick and intuitive analysis of data across multiple sources.