Remove services data-analytics-as-a-service
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What is Cloud Analytics and Its Importance?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The distribution of computer services through the internet is known as cloud computing. Businesses can adopt the cloud computing paradigm, where they can rent IT equipment and services instead of purchasing and operating their data centers.

Analytics 352
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Getting Started with Azure Synapse Analytics

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Azure Synapse Analytics is a cloud-based service that combines the capabilities of enterprise data warehousing, big data, data integration, data visualization and dashboarding.

Analytics 317
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IBM Builds on Analytics and BI Foundation

David Menninger's Analyst Perspectives

In today’s data-driven world, organizations need real-time access to up-to-date, high-quality data and analysis to keep pace with changing market dynamics and make better strategic decisions. By mining meaningful insights from enterprise data quickly, they gain a competitive advantage in the market.

Analytics 272
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Power analytics as a service capabilities using Amazon Redshift

AWS Big Data

Analytics as a service (AaaS) is a business model that uses the cloud to deliver analytic capabilities on a subscription basis. This model provides organizations with a cost-effective, scalable, and flexible solution for building analytics. times better price-performance than other cloud data warehouses.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. Five years ago they may have. But today, dashboards and visualizations have become table stakes.

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Rise of Microsoft Power BI as a Data Analytics powerhouse

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Microsoft Power BI is a collection of apps, software services, The post Rise of Microsoft Power BI as a Data Analytics powerhouse appeared first on Analytics Vidhya.

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DataOps For Business Analytics Teams

DataKitchen

Their business unit colleagues ask an endless stream of urgent questions that require analytic insights. Business analysts must rapidly deliver value and simultaneously manage fragile and error-prone analytics production pipelines. In business analytics, fire-fighting and stress are common. Analytics Hub and Spoke.

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How to Operationalize Data From Multiple Sources to Deliver Actionable Insights

Speaker: Speakers from SafeGraph, Facteus, AWS Data Exchange, SimilarWeb, and AtScale

Data and analytics leaders across industries can benefit from leveraging multiple types of diverse external data for making smarter business decisions. Data and analytics specialists from AWS Data Exchange and AtScale will walk through exactly how to blend and operationalize these diverse data external and internal sources.

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Building Best-in-Class Enterprise Analytics

Speaker: Anthony Roach, Director of Product Management at Tableau Software, and Jeremiah Morrow, Partner Solution Marketing Director at Dremio

Tableau works with Strategic Partners like Dremio to build data integrations that bring the two technologies together, creating a seamless and efficient customer experience. As a result, these two solutions come together to deliver: Lightning-fast BI and interactive analytics directly on data wherever it is stored.

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Up Your Analytics Game: How to Empower People to Take Action

Speaker: Tom Davenport, President’s Distinguished Professor of Information Technology and Management, Babson College

HR leaders in Financial Services are adopting the use of data and analytics faster than many other business functions and job roles. In fact, in a recent survey of 450 Financial Services professionals, 95% of respondents agreed that better integration of HR and Finance data was a top priority for the year.

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How to Democratize Data Across Your Organization Using a Semantic Layer

Speaker: speakers from Verizon, Snowflake, Affinity Federal Credit Union, EverQuote, and AtScale

Join this webinar panel for practical advice on how to build and foster a data literate, self-service analysis culture at scale using a semantic layer. In this webinar you will learn about: Making data accessible to everyone in your organization with their favorite tools.

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Embedded BI and Analytics: Best Practices to Monetize Your Data

Speaker: Azmat Tanauli, Senior Director of Product Strategy at Birst

How much potential revenue is hidden in your data? In a recent Economist survey of 476 senior executives worldwide, 60% are already generating revenue from their data, and a whopping 83% have used data to make existing products or services more profitable.