Analytics

The insurance industry has undergone a massive transformation over the last 20-30 years. Customer service and business processes that were once done on paper or over the phone are now completed via web and mobile experiences. As a result, manual paperwork and tasks have gradually become automated via software solutions. For the insurance customer, this transition has led to faster and more predictable experiences.

When optimizing costs, learn about the different factors that influence variance in BigQuery compression ratios.

Snowflake has always been committed to helping customers protect their accounts and data. To further our commitment to protect against cybersecurity threats and to champion the advancement of industry standards for security, Snowflake recently signed the Cybersecurity and Infrastructure Security Agency (CISA) Secure By Design Pledge.

At Databox, we’re firm advocates for improving your business through data. But just having that data isn’t enough – you need to manage it well for it to serve you. Customer relationship management (CRM) software excels at capturing the data you need for your marketing and sales operations. But that data needs regular upkeep and careful analysis for you to use it effectively. If you don’t feel like you’re on top of your CRM data management, you aren’t alone.

Salesforce is a powerful customer relationship management (CRM) platform that holds a vast amount of business-critical data. However, many data analysts and business professionals rely on Excel for data manipulation, reporting, and analysis. The ability to seamlessly connect Excel to Salesforce is essential for companies who need to centralize their data from Excel and other data sources to Salesforce.

Google BigQuery is a robust, serverless, and highly scalable data warehouse that allows businesses to analyze massive datasets in real-time. For data professionals working in mid-market companies, the ability to connect Excel to BigQuery opens up new possibilities for combining the advanced data manipulation capabilities of Excel with the powerful analytics engine of BigQuery to pass to downstream applications like Tableau or Power BI.

Businesses today rely heavily on data to inform decisions, predict trends, and optimize operations. However, more data volume and complexity has led to growing pressure to find scalable, cost-effective solutions for data storage while staying within IT budgets. Companies want to handle both structured and unstructured data efficiently, while supporting advanced data analysis and machine learning use cases.

Imagine a world where your sensitive data moves effortlessly between clouds – secure, private, and far from the prying eyes of the public internet. Today, we’re making that world a reality with the launch of Cloudera Private Link Network. Organizations are continuously seeking ways to enhance their data security. One of the challenges is ensuring that data remains protected as it traverses different cloud environments.

With generative AI, you have the opportunity to deliver a data strategy that helps business people answer their most pressing data questions—providing unprecedented value to your internal teams, partners, and customers. Hype around GenAI has overwhelmed people with too many use cases and too little focus on achievable value. That’s why we sponsored a first-of-its-kind survey with MIT SMR Connections, asking 1k global data and business leaders questions.