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Analytics Magazine

Tag "big data"

Hungry for data, thirsty for time

Organizations of all sizes and types are awash in data possibilities, yet most of them cannot capitalize on the potential for a variety of reasons. The good news, however, is that with the right decisions and focus, these possibilities can turn quickly into realized opportunities.

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ISMS Marketing Science Conference

The 39th Annual ISMS Marketing Science Conference will be held June 7-10 at the University of Southern California in Los Angeles. The ISMS Marketing Science Conference is an annual event that brings together leading marketing scholars, practitioners and policymakers with a shared interest in rigorous scientific research on marketing problems.

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Disarming ‘Weapons of Math Destruction’

    Disarming ‘Weapons of Math Destruction’

Cathy O’Neil, an industry insider and experienced expert, thoroughly covers the sociological downside of data science in her New York Times bestseller and first-of-its kind book, “Weapons of Math Destruction.” In the world of big data, there’s a lot of music to be faced. With all its upside, data science’s deployment risks being prejudicial, predatory, exploitative, buggy, blindly trusted and secretive. And it has the potential to magnify the consumer’s personal economic struggle rather than remedy it.

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Executive Edge: Graph databases, journalists & the Panama Papers

The Panama Papers, the unprecedented leak of 11.5 million files from the database of the global law firm Mossack Fonseca, opened up the offshore tax accounts of the rich, famous and powerful – laying bare how they have exploited secretive offshore tax regimes for decades.

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Analyze This!: Victimized by WMD

My family and I are spending the second half of my sabbatical in Madrid. We arrived in Spain a couple of weeks ago, and the day we arrived I tried to log in to my bank’s online site to pay my credit card bill.

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Data Lakes: The biggest big data challenges

    Data Lakes: The biggest big data challenges

Many organizations have noticed that the data they own and how they use it can make them different than others to innovate, to compete better and to stay in business. That’s why organizations try to collect and process as much data as possible, transform it into meaningful information with data-driven discoveries, and deliver it to the user in the right format for smarter decision-making. With the right analytics, data can be turned into actionable intelligence that can be used to help make businesses maximize revenue, improve operations and mitigate risks.

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Analytical Journey: Navigating the big data analytics SaaS terrain

    Analytical Journey: Navigating the big data analytics SaaS terrain

With the continued hype from so many big data companies, it is hard to understand the best way to start down the big data analytics path. After all, the reason we use big data software tools is to improve our data analytics, not to see if we can get the latest and greatest big data tool to work. We have seen too many “square-peg” solutions pounded into “round-hole” problems.

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Big Data & Analytics: Fulfilling the promise of analytics

    Big Data  & Analytics: Fulfilling the promise of analytics

While data and analytics have been part of business for a long time, it’s only in recent years that the value they provide has captured the attention of senior executives and managers. That is because there has been an explosion of systems and devices that generate data coupled with greatly reduced costs to collect, store and analyze that data. The result: big data.

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Big Data Analytics: Cloud-supported machine learning services

    Big Data Analytics: Cloud-supported machine learning services

Big data analytics and cloud computing are two of the most prominent technologies of high interest to business organizations and researchers across the globe today. Harnessing its potential has become the key to competitive advantage for data-driven businesses. This phenomenon, characterized by the “3Vs” (volume, velocity and variety), produces information far beyond the processing capability of conventional tools. Building powerful computational infrastructure to warehouse and make sense of all the data requires large investments and poses practical limitations. Cloud computing offers an attractive alternative.

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Dealing with Big Data: The ascendency of data lakes

    Dealing with Big Data: The ascendency of data lakes

January/February 2016 The premise, the promise, the potential of new method for managing big data. By Sean Martin The data

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Analytics Blog

Electoral College put to the math test


With the campaign two months behind us and the inauguration of Donald Trump two days away, isn’t it time to put the 2016 U.S. presidential election to bed and focus on issues that have yet to be decided? Of course not.

Headlines

2017 Tech Trends: the kinetic enterprise

From dark analytics to mixed reality, machine intelligence and blockchain, Deloitte’s annual Technology Trends report analyzes the trends that could disrupt businesses in the next 18-24 months. CIOs who can harness the possibilities of these technologies will be better positioned to shape the future of their business. Read more →

FICO: Financial crime trends for 2017

If the world seemed dangerous from a financial crime perspective last year, FICO experts predict an even more challenging 2017. In a new paper, four of the leaders in the company’s fraud and financial crime group laid out 17 predictions, ranging from killer devices in the home to hacked fingerprints. Read more →

UPCOMING ANALYTICS EVENTS

INFORMS-SPONSORED EVENTS

CONFERENCES

2017 INFORMS Healthcare Conference
July 26-28, 2017, Rotterdam, the Netherlands

CAP® EXAM SCHEDULE

CAP® Exam computer-based testing sites are available in 700 locations worldwide. Take the exam close to home and on your schedule:


 
For more information, go to 
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