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Analytics

How Healthcare and Life Sciences Organizations Are Accelerating Data, Apps and AI Strategy in the Data Cloud

Accelerate Healthcare and Life Sciences is a one-day virtual event, featuring technology and business leaders from Elevance Health, Ginkgo Bioworks, Datavant and more, to discover executive priorities, best practices and potential data and AI challenges that are top of mind for 2024.

How to Create a Heat Grid in Yellowfin Dashboards

Welcome to the latest entry in Yellowfin Japan’s ‘How to?’ blog series! In our previous blog, we created a pie chart that aggregates on the basis of category. By using set analysis, we were able to represent the percentage of Books Only in the numeric display, based on the composition of the items ordered.

SaaS in 60 - Cyclic Group Dimensions

This week a new Dimension type for Master Item Dimensions is available, Cyclic groups. You all know that Master Items offer a centralized, reusable governed library of measures, expressions, visualizations and both single and drillable dimensions – now with Cyclic group defined dimensions – you can dynamically cycle through dimensions in every chart, at the same time using a click of a button or simple selection. Offering new ways to analyze data, save precious screen space and enable multiple use cases on a single chart.

Financial Optimization for SAP Bundle Flyover

Is your finance team spending too much time on data management and not focusing enough on delivering valuable financial insights? Without a proper reporting tool, your finance team is bogged down by manual processes and inefficient reporting cycles. Shorten time-consuming tasks and reduce your dependency on IT with insightsoftware Financial Optimization for SAP. This user-friendly solution provides finance teams with end-to-end process optimization that bridges the SAP to Excel gap, ultimately creating a faster, streamlined, and less error-prone work environment.

Data Filtering: A Comprehensive Guide to Techniques, Benefits, and Best Practices

Data filtering plays an instrumental role in reducing computational time and enhancing the accuracy of AI models. Given the increasing need for organizations to manage large volumes of data, leveraging data filtering has become indispensable.

Reimagine Batch and Streaming Data Pipelines with Dynamic Tables, Now Generally Available

Since Snowflake’s Dynamic Tables went into preview, we have worked with hundreds of customers to understand the challenges they faced producing high-quality data quickly and at scale. The No. 1 pain point: Data pipelines are becoming increasingly complex. This rising complexity is a result of myriad factors.

Better See and Control Your Snowflake Spend with the Cost Management Interface, Now Generally Available

Snowflake is dedicated to providing customers with intuitive solutions that streamline their operations and drive success. As part of our ongoing commitment to helping customers in this way, we’re introducing updates to the Cost Management Interface to make managing Snowflake spend easier at an organization level and accessible to more roles.

Data Accessibility: A Hurdle Before SAP's AI Integration

Unlocking the power of AI within SAP for your team requires overcoming a significant hurdle: data accessibility. SAP data’s complexity, spread across various modules, creates silos of information that your team might struggle to understand and utilize effectively. Inaccessible or misaligned SAP data will hinder your AI system’s ability to learn and deliver valuable results specific to your organization.

Data Prep for AI: Get Your Oracle House in Order

Despite the transformative potential of AI, a large number of finance teams are hesitating, waiting for this emerging technology to mature before investing. According to a recent Gartner report, a staggering 61% of finance organizations haven’t yet adopted AI. Finance has always been considered risk averse, so it is perhaps unsurprising to see that AI adoption in finance significantly lags other departments.