Sat.Mar 10, 2018 - Fri.Mar 16, 2018

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Celebrating Db2’s 25 years of awesome

IBM Big Data Hub

March 16, 2018 is the 25th anniversary of the Db2 relational database product on Linux UNIX and Windows. Over the past 25 years, this team has built the Db2 brand for the distributed product, complementing IBM’s Db2 mainframe offering and creating a market force.

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What's in a Juicebox: Connected Visuals

Juice Analytics

The ability of an excel novice (i.e. me) to use a pivot table is basically naught. My ability to manipulate data does not exist, and yet I work for one of the most forward-thinking data presentation companies! Nevermind why I was hired, I quickly learned how to use a Juicebox application because Juicebox is designed with the everyday end user in mind.

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Randomness Is Often Not Random

Perceptual Edge

In statistics, what we often identify as randomness in data is not actually random. Bear in mind, I am not talking about randomly generated numbers or random samples. Instead, I am referring to events about which data has been recorded. We learn of these events when we examine the data. We refer to an event as random when it is not associated with a discernible pattern or cause.

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How American Express Excels As A Data-Driven Culture

Bruno Aziza

For many in the industry, Ash Gupta is seen as being the father of data-driven risk analysis, and his efforts have contributed to the increased usage of data and analytics in financial services

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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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3 signs your database may be out of date

IBM Big Data Hub

For decades, a company’s database usually had a single job: operating as either an operational — also known as transactional — database or acting as a data warehouse. It was also typically deployed in a single location: on premises. Today, companies not only want more from their databases, but also expect greater flexibility concerning where they are located and how they consume data management resources.

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Assisted Predictive Modeling and Analytics for Everyone

Smarten

Need Analytics for Business Users AND Data Scientists? No Problem! Does your business intelligence solution provide true advanced analytics capabilities? Can your BI tool satisfy the needs of business users, data scientists and IT staff? That may seem like a tall order but with the right business intelligence software, you can provide predictive analytics for business users, including assisted predictive modeling that walks users through the analytical process and allows them to achieve the best

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Immersive Insights: Better data through AR

IBM Big Data Hub

Augmented reality (AR) and augmented intelligence systems such as Watson are breaking data outside the confines of a two-dimensional monitor and putting them into a three-dimensional visualization format. Big Data and Analytics Hub spoke with IBM AR designer Ben Resnick about what’s next for Immersive Insights and how data visualization will improve business intelligence for enterprise decision makers.

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New hyper-fast data ingestion enables smarter decisions

IBM Big Data Hub

Human beings tend to filter out events they deem unimportant. They can only process so much at any given time. Computer systems, however, must be able to handle a massive number of events in real time or near-real time to help support a wide range of applications.

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Dispelling myths about the IBM Integrated Analytics System

IBM Big Data Hub

There are some misleading messages in the market about the IBM Hybrid Data Management and its data warehouse strategy. So here’s some clarification.