Remove self-service-analytics
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Boosting Enterprise Adoption of Self-Service Data Analytics

Corinium

The need for widespread enterprise analytics to accelerate business growth and operational efficiencies is clear: Forrester says that insights-driven businesses are growing at an average of more than 30% each year, and by 2021 will take $1.8 trillion from less-informed peers.

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5 tips for excelling at self-service analytics

CIO Business Intelligence

One potential solution to this challenge is to deploy self-service analytics, a type of business intelligence (BI) that enables business users to perform queries and generate reports on their own with little or no help from IT or data specialists. But there are right and wrong ways to deploy and use self-service analytics.

Analytics 134
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Qlik Advances Self-Service Analytics and Business Intelligence

David Menninger's Analyst Perspectives

The analytics and business intelligence market landscape continues to grow as more organizations seek robust tools and capabilities to visualize and better understand data. BI systems are used to perform data analysis, identify market trends and opportunities and streamline business processes.

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Becoming More Data-Driven With Self-Service Analytics

Dataiku

The concept of self-service analytics isn’t exactly a new topic. However, there are many misconceptions around what self-service analytics involves. Many people think that self-service analytics is only about pulling data from dashboards. This is — spoiler alert — false!

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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. Driving a self-service analytics culture with a semantic layer. Using predictive/prescriptive analytics, given the available data.

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Natural Language Processing Enables Self-service Analytics & BI

David Menninger's Analyst Perspectives

Natural language processing (NLP) is a field that combines artificial intelligence (AI), data science and linguistics that enables computers to understand, interpret and manipulate text or spoken words.

Analytics 215
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Data Governance for Self-Service Analytics Best Practices

DataKitchen

The post Data Governance for Self-Service Analytics Best Practices first appeared on DataKitchen.

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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.

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From Hadoop to Data Lakehouse

In this migration playbook, you will get: A step-by-step guide on how to migrate Hadoop to the data lakehouse with Dremio Breakdown of benefits from each phase of the migrations An understanding of why self-service analytics for data consumers should be a top priority

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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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How to Use a Semantic Layer to Scale Data & Analytics Across Your Organization

Download this guide for practical advice on using a semantic layer to improve data literacy and scale self-service analytics. The guide includes a checklist, an assessment, industry-specific use cases, and a data & analytics maturity model and roadmap.

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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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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.