January, 2018

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What Business Analysts Can Learn From Swiss Cheese

BA Learnings

Swiss cheese has holes in various places on different slices of cheese when you cut it up. Let’s imagine these holes reflect weaknesses in the system where mistakes can pass through, afterall no system is perfect. One mistake passing through a hole in one slice of cheese might remain unnoticed and not lead to a business catastrophe, if it's corrected.

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Unsexy Fundamentals Focus: User Experiences That Print Money

Occam's Razor

Like me, I'm sure you are working on complex challenges when it comes to data. Multi-petabyte data warehouses. Multi-touch, cross-channel attribution analysis. Media mix modeling. Predictive analytics. Human-centric analysis. Oh, and let's not forget the application of machine learning to every facet of your work. It is genuinely fun to work on these opportunities.

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4 easy ways to get started with information governance

IBM Big Data Hub

Two paradoxes of information technology are: data has no value if you can’t access it, and it’s a liability if the wrong people access it. Company leaders don’t think they need data governance until these paradoxes hit them hard.

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Data Quality and Chicken Little Syndrome

Jim Harris

“The sky is falling!” exclaimed Chicken Little after an acorn fell on his head, causing him to undertake a journey to tell the King that the world is coming to an end. So says the folk tale that became an allegory for people accused of being unreasonably afraid, or people trying to incite an unreasonable fear in those around them, sometimes referred to as Chicken Little Syndrome.

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State of AI in Sales & Marketing 2025

AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.

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Bloomberg's Data Initiative: Big Data For Social Good In 2018

Bruno Aziza

Whether it is data-driven marketing, sports analytics, political campaigns, or national security threats, data has become central to any type of informed analysis and plan of action.

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AI+BI: Augmented analytics will soon bring data-driven insight to the masses

Birst BI

When you hear the words “artificial intelligence,” (AI) what’s the first thing you think of: robots doing backflips , Alexa , medical diagnostic innovations or something else? If you’re a business intelligence (BI) and analytics application user, it’s likely that “data-driven insight to the masses” will soon be top-of-mind. Machine learning will transform BI and analytics.

More Trending

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Designing A/B tests in a collaboration network

The Unofficial Google Data Science Blog

by SANGHO YOON In this article, we discuss an approach to the design of experiments in a network. In particular, we describe a method to prevent potential contamination (or inconsistent treatment exposure) of samples due to network effects. We present data from Google Cloud Platform (GCP) as an example of how we use A/B testing when users are connected.

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Get a jump start on real-time analytics and insights

IBM Big Data Hub

Unlock the trusted information about your customers with MDM and empower your business analysts to search, explore and match with other data collections with governed freedom.

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Make BI Applications More Intuitive With Search Like GUI

Boris Evelson

Most business intelligence (BI) applications are constructed using point-and-click drag-and-drop graphical user interfaces (GUI), but still require end user training and long ramp up times, although not to the extent of learning and writing SQL code. Few business decision-makers access data directly, instead rely on trained business analysts, even for basic information.

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Big Data: Amazon, Google, Microsoft, The Cloud And Other 2018 Trends

Bruno Aziza

In his latest book, “Thank You For Being Late,” Thomas Friedman highlighted 2007 as one of the most pivotal years in technology: 2007 saw the birth of Hadoop, the iPhone and Amazon’s Kindle for instance. My bet is that 2018 will start a new era for the technology space very much like 2007 did.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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Data Engineering is Critical to Big Data Success

Cloudera

I mentioned in an earlier blog titled, “Staffing your big data team, ” that data engineers are critical to a successful data journey. That said, most companies that are early in their journey lack a dedicated engineering group. And the longer it takes to put a team in place, the likelier it is that your big data project will stall. The data engineering team is responsible for collecting and ingesting batch and stream-oriented data, inventorying the data, working through ingest bottlenecks, and d

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Groupthink Culture: How BAs Can Navigate The Tide

BA Learnings

Groupthink, a term introduced by social psychologist Irving Janis in 1972, occurs when a group makes bad decisions because group pressures lead to a reduction in mental efficiency and moral judgement. These groups ignore alternatives and are usually insulated from outside opinions. Think about these scenarios: You attend a meeting where ideas are bounced around.

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More than Data: It’s Networked BI that Enables a “Single Version of the Truth”

Birst BI

Data governance is a broad topic that people seem to agree is important, but still argue about the details. Specifically, it’s hard to find an IT professional or BI and Analytics user who doesn’t believe that good execution on data governance will yield the “single version of the truth” required to make confident, accurate business decisions. But what exactly is a “single version of the truth?

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Data governance is not a sailor’s yarn

IBM Big Data Hub

Whether you want to build a bridge, explore the sea, or simply try to identify new markets, you will only be as good as the data you use. This means it must be complete, in context, trusted and easily accessible to drive insights.

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Zero Trust Mandate: The Realities, Requirements and Roadmap

The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.

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Will 2018 See More BusinessObjects in the Cloud?

Paul Blogs on BI

While it’s fun to make predictions at the beginning of a new year, I must admit that my track record on getting them right has not always been perfect. I tend to lean heavily towards things I want to happen, rather than things that are more likely to happen. In the world of Business Intelligence, predictions by leading experts and vendors have also not always been stellar.

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What A World Without Net Neutrality Looks Like

Bruno Aziza

Fundamentally, whether you’re on the internet, making a phone call or sending and receiving messages, your communication should simply go through, free of interference from your service provider.

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Breaking through the clouds in Asia Pacific

Cloudera

To quote Sam Walton, Walmart’s founder, “There is only one boss. The customer. And he can fire everybody in the company from the chairman on down, simply by spending his money somewhere else”. This very much forms the lens for our focus here at Cloudera Asia Pacific. And it is this unwavering passion and commitment that has driven the team to strive for the very best for our customers and partners, and milestones that we have collectively attained since 2015.

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How Business Analysts Can Avoid Confirmation Bias

BA Learnings

When we have a strong belief about something or a bias towards a particular opinion, we consciously or unconsciously seek out evidence that validates what we already believe. When we come across contrary evidence, our default behaviour is to ignore it, diminish it or in some cases, conclude that it’s wrong prematurely without exploring its merits. This behaviour is due to a cognitive bias known as confirmation bias.

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Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.

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Smart Data Visualization Makes Users Smarter

Smarten

Smart Data Visualization Guides Users to Clear Data in the Right View! Imagine if your advanced data discovery tool could take the guesswork out of data preparation and visualization and allow your business users to see past the obvious to find the true insight and subtle patterns, trends and data that will help your business to achieve success. Features like smart data visualization make it easy to see what is happening, where the source of a problem lies and what market opportunities may be ri

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Learn how to build your ladder to AI with "Machine Learning Everywhere"

IBM Big Data Hub

Join us 27 February at 1 PM ET for "Machine Learning Everywhere: Build Your Ladder to AI." Visit the event landing page to learn more about the event and register for a calendar reminder: ibm.com/mleverywhere.

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5 New Things to get Excited about in Version 18

Paris Technologies

You asked and we listened! Version 18 of PowerOLAP® and Olation® comes with enhancements and new features that we know both new and existing users will want to get their hands on. Here’s our top 5 features to get excited about in Version 18. 5. PowerOLAP Portal Version 18 takes the administrative pain out of […].

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The Chief Data Officer Dilemma

Bruno Aziza

In a 2018 survey, which was recently released, nearly two-thirds of executives – 63.4% -- now report their firm having a CDO. Clearly, the Chief Data Officer has become an established role within a majority of leading corporations.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Six Strategies for Advancing Customer Knowledge: Bringing Data Together

Cloudera

I often meet with our customers to help them understand how to connect modern technology to business success. The ever-present question at these encounters is “Where do I start?” For them, they may understand that they need a data-driven strategy or the culture may aim to take a shift to being guided by data. These are often goals set by the executive team with little guidance on how to execute or implement.

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Digital Transformation and Role of DevOps

Nutanix

Digital transformation (DX) has triggered a major overhaul in the way organizations think about tried-and-true business models and operationalize day-to-day processes.

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What is Augmented Data Discovery?

Smarten

Wondering if Augmented Data Discovery is for You? Wonder No More! If you have heard of Augmented Data Discovery (aka Smart Data Discovery), but you don’t quite understand what it is and its value to average business, then we really need to talk! Augmented Data Discovery allows your business to go beyond data monitoring and helps users discover the more subtle yet crucial factors that affect business success.

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Are spreadsheets really the best tools for financial planning and forecasting?

IBM Big Data Hub

Still using spreadsheets for financial planning? Learn more in this webinar how predictive technologies can improve the accuracy of your own planning and forecasting.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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My introduction and my love for DATA

Sanjeev Mohan

I have been working as a research analyst responsible for the Big Data topics for the last year. I plan to regularly post my blogs here. I have been accused of being an insufferable and recovering dataholic since my days at Oracle in the early 1990s. So, my goal is to write about all things data. However, for my first blog, I thought of writing a paean to my admiration for data.

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The Unholy Trinity: Ad Fraud, Hate Speech And Fake News

Bruno Aziza

There’s so much risky and objectionable content on the internet—fake news, hate speech, incendiary articles and representations of violence.

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Staffing your big data team

Cloudera

Building the right team is as important as assembling the right IT infrastructure – and the needs differ just as dramatically. A traditional BI and analytics organization consists of three main groups: Analysts that develop reports often using sample data. The data management team – modelers that take requests, find data, and develop models to answer the questions.

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Announcing Girls in Tech’s Newest Board Member

Nutanix

Of all the blog posts I’ve written since starting Nutanix, this one is particularly special to me because it deals with an organization that’s helped me on my personal and professional journey.

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The GTM Intelligence Era: ZoomInfo 2025 Customer Impact Report

ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!