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Transforming Ideas into Features: Tableau's Commitment to Community-Driven Innovation

Tableau

We had this in mind when in 2011, Tableau created the Ideas section of the Forums to help you share Tableau product features you’d like to see created. Since 2011, more than 11,000 ideas from almost 4,000 community members have been shared on the Forums, including more than 430 new ideas in 2023 alone.

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24 September 2011, Business Intelligence Conference, Hyderabad

ElegantJ BI

ElegantJ BI sponsors a Business Intelligence Conference event as the Gold Partner , organized by Silicon India on 24th September 2011 at Hyderabad from 9:00 a.m. to 4:30 p.m.

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Unlock Productivity and Innovation With Our ChatGPT Primer

Cprime

In today’s fast-paced digital landscape, efficiency and innovation are more than goals; they’re necessities. Generative AI is a broad category of tools and applications designed to automate and innovate various aspects of business and personal tasks. Generative AI, particularly ChatGPT, can empower you in this quest.

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Is Google BigQuery The Future Of Big Data Analytics?

Smart Data Collective

Other uses may include: Maintenance checks Guides, resources, training and tutorials (all available in BigQuery documentation ) Employee efficiency reviews Machine learning Innovation advancements through the examination of trends. (1). Big data analytics advantages. What is Google BigQuery? Final thoughts.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

History and innovations in recent times. Cloud technology and innovation drives data-driven decision making culture in any organization. It is the epitome of modern technology right now with multi-dimensional innovations shaping every layer. The pandemic gave it the push it needed to accelerate in terms of growth and innovation.

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Evolution of Scrum – A Trip Down Memory Lane

Cprime

From 2010 to 2011, several interesting changes occurred with regards to Scrum. From 2011 to 2013, the Scrum guide was further refined to include a few key changes described below. I see this as a great change that more teams should take advantage of in effort to continue innovating and avoid stagnation.

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How To Write Good User Stories – An Aggregate of User Story Articles

BA Squared

I am not advocating for big upfront analysis phases and processes, rather more of an iterative, lightweight, and ongoing analysis so that teams can continuously learn about the users and their needs in order to effectively prioritize the backlog and innovate. Do you remember Moneyball? This is the job of every BA.

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