BA Learnings

JANUARY 15, 2018

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.

Interactive 100

Interactive IT 100

IBM Big Data Hub

JANUARY 16, 2018

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.

Data Governance 82

Data Governance Technology IT 82

Birst BI

JANUARY 16, 2018

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.

Data-driven 70

Data-driven Analytics Dashboards Machine Learning 70

The Unofficial Google Data Science Blog

JANUARY 16, 2018

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.

Testing 58

Testing Experimentation Measurement Modeling 58

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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?

Business Intelligence

Cloudera

JANUARY 19, 2018

The New Year is a great time to make resolutions, but it’s also a great time to reflect on the previous year. Before we get too far into 2018, let’s take a look at the ten most popular Cloudera VISION blogs from 2017. Today is an important day in the life of Cloudera. On April 28, 2017, Mike Olson , as one of the founders of Cloudera, writes about the initial public offering, and what the milestone means.

Machine Learning 45

Machine Learning Big Data IoT Data Science 45

IBM Big Data Hub

JANUARY 16, 2018

Big Data and Analytics Hub spoke with IBM Distinguished Engineer John Thomas (@johnjaithomas) about some of the importance of focusing on information architecture to make algorithms meet enterprise needs, as well as how machine learning can most effectively be applied in hybrid scenarios in 2018.

Machine Learning 63

Machine Learning Big Data Enterprise Analytics 63

Smarten

JANUARY 15, 2018

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.

Forecasting 40

Forecasting Statistics Visualization Testing 40

Nutanix

JANUARY 19, 2018

The 1-node Nutanix Enterprise Cloud offering was created with one thing in mind: you – our customers. You told us that a Nutanix offering specifically designed for smaller, remote deployments will radically simplify your ability to deliver virtualized applications at your remote sites.

IT 20

IT Enterprise 20

Nutanix

JANUARY 18, 2018

The oil and gas sector has been hit very hard over the past few years, due to the steep downturn in crude oil and other commodity prices. You can get a sense of this by looking at the macroeconomics trends in areas with a high density of oil and gas companies.

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