Streamlining Financial Market Intelligence with Time-Series Innovations and Tick Data Modernization
Why now is the time for data leaders in financial services to address the challenges of tick data analysis — and how Snowflake can help.
The Power of the Best-in-Class Ecosystem
In the business world, gaining the “unfair advantage” often seems like a strike of great luck and timing (think Zoom and the pandemic). But in reality, it’s often the result of deliberate strategies and actions (in Zoom’s case, delivering a superior user experience). One great strategy: getting the unfair advantage through a best-in-class technology ecosystem.
Real-Time Insurance Claims Processing With Confluent
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.
How CIOs can drive AI success with a strong data foundation
Learn how to accelerate and ensure impactful AI initiatives by leading with optimal data strategies.
Run pandas on 1TB+ Enterprise Data Directly In Snowflake
As one of the most widely used libraries in the Python ecosystem, pandas helps developers analyze, load and transform data across data science, data engineering and machine learning. The flexibility and ease of use of the pandas API have driven rapid growth in popularity, with pandas being used by one in every five developers, according to the StackOverflow 2024 Developer Survey.
5 Effective Strategies for Optimizing Data Infrastructure Costs
With infrastructure spending rising, optimizing data infrastructure expenses has become a critical priority for business, technology, and data leaders. Join us for an insightful webinar on Mastering Data Infrastructure Cost Management with industry experts Sonny Rivera, CPO at Tifin AG and Snowflake Data Superhero, and Sid Lasley, VP of Solution Engineering at Hevo Data. Discover how to maximise the value of your investments in data infrastructure by navigating the complexities of cost management across multiple cloud service providers.
Experimenting with BigQuery data compression
When optimizing costs, learn about the different factors that influence variance in BigQuery compression ratios.
How to Improve Your CRM Data Management Based on Insights From 140+ Companies
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.
Connect Excel to Salesforce Using 4 Methods
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.
Comprehensive Guide to Connecting Excel to Google BigQuery
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.