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Experts predict the big data market will be worth $474 billion by 2030, proving data is incredibly valuable for businesses of all types. However, a company's ability to gather the right data, interpret it, and act on those insights will determine the success of data projects. The amount of data accessible to companies is increasing, as are the different types of data available. Business data comes in a wide variety of formats, from strictly formed relational databases to social media posts.

Actionable marketing dashboards are a key to any marketing campaign. To get the most out of your campaign, it’s important to choose the marketing dashboard that will best fit your business goals. Read on to learn more about actionable marketing dashboards, what makes a good marketing dashboard, and discover 20 examples of marketing dashboards filled with valuable insights.

Put simply, data literacy is the ability to translate data into insights, a capability that every technology buyer is seeking this year. The importance of data has been well established and technology leaders understand the value sitting dormant in their ever-growing databases. When researching the right application for their teams, features that boost data literacy will be front of mind for your buyers.

Integration as a Service (IaaS) has emerged in recent years to become a pivotal force in 2024. This cloud-based solution is redefining how businesses operate in the digital landscape. It represents a significant leap in the integration of software applications, platforms, and services by streamlining processes that were once seen as cumbersome and time-consuming.

Change data capture (CDC) has long been one of the most popular, reliable, and quickest ways to connect your database tables into data streams. It is a powerful pattern and one of the most common and easiest ways to bootstrap data into Apache Kafka®. But it comes with a relatively significant drawback—it exposes your database’s internal data model to the downstream world.

We previously announced Snowflake’s Unistore workload, which continues Snowflake’s legacy of breaking down data silos by uniting transactional and analytical data in a consistent and governed platform. Today, we are pleased to announce that Hybrid Tables — the core feature powering Unistore — is in public preview in select AWS regions. Hybrid Tables is a new table type that enables transactional use cases within Snowflake with fast, high-concurrency point operations.

Gen AI is quickly reshaping industries, and the pace of innovation is incredible to witness. The introduction of ChatGPT, Microsoft Copilot, Midjourney, Stable Diffusion and many more incredible tools have opened up new possibilities we couldn’t have imagined 18 months ago. While building gen AI application pilots is fairly straightforward, scaling them to production-ready, customer-facing implementations is a novel challenge for enterprises, and especially for the financial services sector.

Data is often described with cliches like, it's "the new oil" or “the new air.” No matter how you describe it, there is no denying the increasing importance of data monetization across every industry. Forward-thinking organizations recognize data apps as both a revenue stream and a differentiated service to increase customer loyalty.

Sifting through vast amounts of data for usable information is both challenging and time-consuming for independent software vendors (ISV) in today’s fast-paced market. But without a continuous search for timely insights, you risk your end-users missing critical business opportunities, or failing to address emerging issues in their data promptly, potentially leading to dissatisfaction and churn.