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Self-Service BI vs Traditional BI: What’s Next?

Alation

How will moving to true self-service business intelligence — and achieving data democracy — impact your organization? The Failure of Traditional BI Approach. The Emergence of Self-Service BI. Self-service BI requires carefully labeled data and the ability for business users to access and explore data.

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Natural Language Processing Enables Self-service Analytics & BI

David Menninger's Analyst Perspectives

NLQ and NLG enable business personnel to communicate information needs with business intelligence (BI) systems more easily.

Analytics 247
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Practical Points from the DGPO: Dawn of Self-Service BI Governance

TDAN

It seems that Self-Service BI is finally taking off. In short, because Self-Service BI needs more than […]. After decades of hope, hype, over-promising, and disappointment, technology that businesspeople can use is finally becoming available, albeit with some level of data literacy.

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Self-Service BI: A Case of Trust Working Both Ways?

Alation

So I was surprised to learn from my colleague Myles Suer’s blog piece about Self-Service vs. Traditional BI that it was first referenced in 1865. And whilst the means to deliver BI have evolved greatly, the motivation behind it has not. BI has long been plagued by an audience divided, the data haves and have nots.

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

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Power BI vs. Tableau: Self-service analytics tools compared

CIO Business Intelligence

Business intelligence (BI) and analytics platforms have long been a staple for business, but thanks to the rise of self-service BI tools, responsibility for analytics has shifted from IT to business analysts, with support from data scientists and database administrators.

Analytics 106
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Zoho enters self-service BI market with focus on usability, data prep

CIO Business Intelligence

Productivity SaaS provider Zoho has entered the business intelligence (BI) platform market, announcing an AI-powered, self-service platform that combines the new Zoho DataPrep application with an enhanced version of Zoho Analytics.

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Dresner Advisory Services’ 2019 Wisdom of Crowds Data Catalog Market Study

The third annual Dresner Advisory Services’ 2019 Wisdom of Crowds® Data Catalog Market Study explores the strong link between data catalogs and successful BI usage. In the report, learn about the core set of capabilities that make data catalogs critical for self-service analytics.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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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

As a result, these two solutions come together to deliver: Lightning-fast BI and interactive analytics directly on data wherever it is stored. A self-service platform for data exploration and visualization that broadens access to analytic insights. A seamless and efficient customer experience.

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Using a Machine Learning Data Catalog to Reboot Data Governance

Speaker: David Loshin, President, Knowledge Integrity, Inc, and Sharon Graves, Enterprise Data - BI Tools Evangelist, GoDaddy

Join David Loshin, principal consultant of Knowledge Integrity, and Sharon Graves, business intelligence (BI) tools evangelist at GoDaddy, as they discuss the need to think about data governance with end users in mind, and explore how a machine learning data catalog can help.

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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

Join this webinar to learn how to blend Geospatial data (from SafeGraph), Financial Market and Transaction Data (from Facteus), & Global Websites Visit and Engagement KPIs (from SimilarWeb) to enrich, augment, and improve self-service analytics as well as predictive models.