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Integrating Key Vault Secrets with Azure Synapse Analytics

Apiumhub

Azure Synapse Analytics is Microsofts end-to-give-up information analytics platform that combines massive statistics and facts warehousing abilities, permitting advanced records processing, visualization, and system mastering. What is Azure Synapse Analytics? Why Integrate Key Vault Secrets with Azure Synapse Analytics?

Azure 91
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The future of data: A 5-pillar approach to modern data management

CIO

The proposed model illustrates the data management practice through five functional pillars: Data platform; data engineering; analytics and reporting; data science and AI; and data governance. However, the analytics/reporting function needs to drive the organization of the reports and self-service analytics.

Data 167
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Part 1: A Survey of Analytics Engineering Work at Netflix

Netflix Tech

This article is the first in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. Subsequent posts will detail examples of exciting analytic engineering domain applications and aspects of the technical craft.

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AI in the C-suite: Using AI to shape business strategy

CIO

But the more analytic support we have, the better,” Gonzalo Gortázar CEO of CaixaBank, told IBM. Second, decision-makers increasingly rely on genAI to … ask questions about their financial and operational data without relying on traditional dashboards and reports,” said Greenstein.”

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Embedded Analytics Insights for 2024

Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format.

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Accelerating AI for financial services: Innovation at scale with NVIDIA and Microsoft

CIO

GenAI is also helping to improve risk assessment via predictive analytics. In one example, BNY Mellon is deploying NVIDIAs DGX SuperPOD AI supercomputer to enable AI-enabled applications, including deposit forecasting, payment automation, predictive trade analytics, and end-of-day cash balances.

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Accelerating AI at scale without sacrificing security

CIO

For some, it might be implementing a custom chatbot, or personalized recommendations built on advanced analytics and pushed out through a mobile app to customers. How does a business stand out in a competitive market with AI?

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The Essential Guide to Analytic Applications

Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges. We interviewed 16 experts across business intelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core.

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Modern Data Architecture for Embedded Analytics

Every data-driven project calls for a review of your data architecture—and that includes embedded analytics. Before you add new dashboards and reports to your application, you need to evaluate your data architecture with analytics in mind. Expert guidelines for a high-performance, analytics-ready modern data architecture.

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The Definitive Guide to Embedded Analytics

But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. It will show you what embedded analytics are and how they can help your company.

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How and Why: Embedded Analytics Interfaces For Your SaaS Product

Speaker: Sam Owens, Product Management Lead, Namely Platform

Sam and Jessica faced a problem that many product managers face: their customers wanted better analytics and reporting, but analytics wasn’t the core function of the SaaS product Sam and Jessica manage. If your users would want analytics as part of their interface, you don't want to miss this session.

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How to Leverage AI for Actionable Insights in BI, Data, and Analytics

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities? Infusing advanced AI features into reports and analytics can set you apart from the competition.

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Using Data & Analytics for Improving Healthcare Innovation and Outcomes

The complexity of healthcare data, the need for real-time analytics, and the demand for user-friendly interfaces can often seem overwhelming. But with Logi Symphony, these challenges become opportunities.

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How to Select an Embedded Analytics Product: 12 Criteria to Consider

This report is designed to help readers select an embedded analytics product. It provides 12 criteria to consider when evaluating embedded capabilities. It also comes with a companion spreadsheet that enables users to score and compare products along these 12 dimensions and others they may add.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. But today, dashboards and visualizations have become table stakes.