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Next-Generation of Tableau Brings Advanced Analytics and Automated Insights to Business Users

oday, at the annual Tableau Conference, Salesforce introduced Tableau Cloud, the fast and easy way for customers to get the full value of Tableau at enterprise scale. The offering is the next generation of what was formerly known as Tableau Online and includes several new innovations to deliver intelligent, powerful and easy-to-use analytical tools to help anyone uncover insights, confidently make data-driven decisions, and create a single source of truth for all trusted data, accessible anytime, anywhere.

AI-Augmented Analytics is Transforming Business Intelligence and Simplifying Data Complexity

In this contributed article, Ajay Khanna, CEO & Founder of Tellius, highlights that when it comes to business intelligence and data analytics, AI is a driving a new wave of innovation called augmented analytics that makes it easier for individuals of all technical skill levels to analyze volumes of data to accelerate more valuable business insights. AI and machine learning are transforming industries and improving how we use technology at an amazing pace, whether it’s accelerating drug discovery and therapeutics, allowing us to speak to our home appliances, or using facial recognition on our handheld devices.

Data Literacy to be Most In-Demand Skill by 2030 as AI Transforms Global Workplaces

The report, Data Literacy: The Upskilling Evolution, was developed by Qlik in partnership with The Future Labs and combines insights from expert interviews with surveys from over 1,200 global C-level executives and 6,000 employees. The findings, which were largely consistent across all geographies surveyed, reveal how the rapid growth in data usage is extending enterprise aspirations for its potential and, in turn, transforming working practices.

The Shift to NLP-powered BI Will Unlock Its True Potential for Business Users

In this contributed article, Marcos Monteiro, CEO and co-founder of Veezoo, discusses how as AI and NLP technology evolves, the capabilities of natural-language interfaces to data become exponentially more powerful and there will be fewer use cases where traditional interfaces will remain superior.

5 Easy Steps to Make Your Data Business Ready

In this contributed article, Ayush Parashar Vice President of Engineering at Boomi, discusses five core components to a strong data strategy so businesses can derive insights from and act on the data. As the uses for data continue to grow, businesses must ensure their data is actually usable.

Webinar: Using ESG and Sustainability Data in the Cloud to Drive Business Value

[SPONSORED CONTENT] In this virtual session, our panel of experts will uncover how companies across several verticals use ESG data to move beyond the reporting benchmark, deepen business insights, and create competitive differentiation. Thursday, July 29, 2021 at 11AM PT | 2 PM ET.

Business Intelligence vs. Operational Intelligence – What Businesses Should Know

In this contributed article, Ratheesh Raveendran, COO of OpsVeda, discusses the key differences between business intelligence and operational intelligence systems, how businesses should make informed decisions when looking to implement the technology and how their outcomes will differentiate depending on the select system.

The Era Of Continuous Intelligence

In this contributed article, James Corcoran, Senior Vice President of Engineering at Kx, discusses the era of ‘continuous intelligence,’ namely the ability for organizations to make smarter decisions derived from insights gained from analysis of data – whether real time, historic or both in as short a time frame as possible.

Data Platforms – A journey. The Yesteryears, Today, and What Lies Ahead

In this contributed article, Darshan Rawal, Founder and CEO of Isima, explains how the data ecosystem has exploded in the last decade to deal with multi-structured data sources. But the fundamental architecture of using queues, caches, and batches to support Enterprise Data Warehousing and BI hasn’t. This article looks at the architectural styles of the three eras of data management – pre-big data, the open-source revolution, and the cloud-native version. It will be a dive into trade-offs of each and what lies ahead. You’ll get a techno-strategic best practices of architecting data platforms as they pave the path to recovery for your organization.

How Automation Helps You Exploit the Value in Big Data

In this sponsored post, Simon Shah spearheads marketing at Redwood Software to support continued market growth and innovation for their cloud-based IT and business process automation solutions. He believes that by using automation to collect and manage your big data processes, you will truly exploit its value for the business.