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.

What is the Difference Between Business Intelligence, Data Warehousing and Data Analytics

In this contributed article, Christopher Rafter, President and COO at Inzata,, writes that in the age of Big Data, you’ll hear a lot of terms tossed around. Three of the most commonly used are “business intelligence,” “data warehousing” and “data analytics.” You may wonder, however, what distinguishes these three concepts from each other so let’s take a look.

What is Governed, Self-Service Business Intelligence and Why is it Important?

In this contributed article, Ben Bloch, CEO of Bloch Strategy, believes the most effective tools contributing to governed, self-service BI are those that make it easy to migrate data securely and effectively. With this model, organizations can merge self-service BI with governed data sources.

How to Stop BI Team Members from Dropping Like Flies

Data is the backbone of every company. So keeping BI teams happy is a top priority… Right? In reality, BI teams’ needs are largely ignored by companies, with a 21% turnover rate and 36% of employees reporting dissatisfaction with their work environment. What’s the next step – what can be done to address the dire straits currently facing BI teams and what companies must do to staunch the analyst exodus and keep their key teams thriving?

Interview: Steven McMullen, Senior Business Intelligence Manager at Stack Overflow

I recently caught up with Steven McMullen, Senior Business Intelligence Manager at Stack Overflow, to discuss how his company tapped pre-IPO data analytics unicorn, Looker to modernize their marketing ops, acquire new leads and new customers. The business results were impressive, transforming Stack Overflow’s marketing strategy for the better.

3 Must-Have Business Intelligence Tools

In this contributed article, Ben Bloch, CEO of Bloch Strategy, discusses the rise of Digital Transformation (DX) and how it is a hot topic right now. It’s the idea that organizations must take strategic, purposeful — even dramatic — actions to reshape how they use technology to bolster business performance.

How Machine Learning is Improving Business Intelligence

In this contributed article, Lauren Adley, writer and editor at Essay Writing In Australia, discusses how machine learning (ML) is improving BI. The ML ability to streamline operational processes is probably its most important way. With the help of intelligent IT automation, productivity boosts can be massive, and this is why this aspect of ML is attracting a lot of attention.

Qlik Expands Analytics and BI Leadership in AI and Machine Learning

Qlik® continues to lead the analytics and business intelligence industry in delivering AI (augmented intelligence) innovation that expands the value of Qlik’s platform for all users. With the November 2018 release of Qlik Sense®, Qlik has introduced new machine learning (ML) capabilities into its cognitive engine and platform. Precedent-based machine learning allows the Qlik cognitive engine to get smarter over time, continually learning from user interaction and feedback as well as other sources. Qlik is the first analytics company to bring AI and ML capabilities together with human intuition in a way that truly augments the user’s power to discover.