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3 Ways to Use Big Data in FinTech

May 4, 2016 by Konstantin Rabin

Financial technology, or FinTech, applies to any novation in the financial areas including investments, retail banking, lending and many other segments. With the internet and mobile revolution FinTech has turbulently grown. There has been an enormous breakthrough in nearly every single aspect of the financial technologies. It gets more investments, media coverage and adoption as never before. Today I would like to focus on the role of Big Data when it comes to innovating the financial sector and I am going to describe the three uses of the data from the companies I am mostly familiar with.[read more]

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5 Ways to Improve Organizational Learning with Big Data Analytics

May 3, 2016 by Anand Srivastava
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Some things can never change when the concept of internet boom is taken into account. Since the dawn of human civilization, data has been at the forefront — dominating every piece of innovation. Over the period of centuries, we have evolved and so has the information sources— resulting in the emergence of ecommerce boon. Organizations...[read more]

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Enhancing Personalization Through Explicit User Feedback

May 3, 2016 by Huba Gaspar

A brief account of technologies, practices, and ongoing research that aim to employ "explicit user feedback" in creating enhanced personalized online experiences for users.[read more]

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NPV Considerations for Open Source Big Data Technologies

May 2, 2016 by Paul Barsch

Net Present Value (NPV) offers a compelling look at whether the present value of cash inflows expected from your proposed open source big data project exceed what’s potentially going out in terms of cash.[read more]

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Youth Not Only Driving Big Data Success, But Pushing

April 26, 2016 by Rick Delgado
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Big data use is only growing, with businesses realizing that their options are to jump on the craze or find themselves in an uphill battle against those utilizing the faster and more accurate information. However, with the next generation of entrepreneurs stepping onto the playing field, they’re doing more than just joining the craze –...[read more]

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Uniting Big Data with the Cloud

April 26, 2016 by Sean Mallon

Combining big data with the cloud seems like the perfect technology unity. Despite the many advantages that the cloud offers, many corporations have been slow to make this transition. In fact, according to a Gartner survey from 2014, less than half of all major corporations with big data programs confirm that they’re using the cloud...[read more]

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How Big Data Helps Solve Social Challenges

April 25, 2016 by Abdullahi Muhammed

Big data has challenges but it's clear that the pros of utilizing it now far outweigh the cons. Here are just a few ways that big data already helps solve social challenges.[read more]

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The Singularity and Personalization through Data: Where We Are Now

April 20, 2016 by Daniel Matthews

Big Data is allowing us to zoom closer into the personal lives of consumers. Just how close does advanced data science put us to the singularity?[read more]

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Can Big Data Help Bridge the Workplace Skills Gap?

April 20, 2016 by Joe Peters

Rapid technological advancement has led to a significant growth of demand for highly skilled workers, which is resulting in expansion of the skills gap across industries. Businesses have to leverage the commercial benefits of data-driven decisions in this area to bridge the gap and stay competitive.[read more]

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How data science and IoT helping in logistic management

April 19, 2016 by Yash Mehta

Data science and IoT together have touched every bit of our life and it is needless to say that at the same time it has proven to be fruitful for various industries as well. In today’s era when we are witnessing e-commerce industry is at boom, but in the background, there is another industry that is expanding rapidly. Any guess? Well,...[read more]

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How Blockchain is Challenging Finance

April 18, 2016 by Melissa Thompson

Of all the new startups during the past decade that are classed as FinTech (Financial Technology) one of the most controversial and potentially powerful is bitcoin. Growth in the use of this cyber currency has been fantastic. Bitcoin transactions per day have grown 150% during 2015. And bitcoins are circulating as never before; with a 10...[read more]

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Big Data Trends For 2016 - Predictions by Biggies

April 18, 2016 by Rehan Sheikh

It has become imperative for companies across all industries, small or large to join the big data movement. Volumes of data (both structured and unstructured) continue to rise in manifolds as we see there is an exponential increase in the number of handheld devices and other systems that are connected to internet. It is true that this...[read more]

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How Business Intelligence is Making Real Estate Easier

April 13, 2016 by Sean Mallon

 Real estate markets are prone to change at a moment's notice. Nothing is certain, and prevailing trends ultimately determine the success or failure of sales and deals. In many cases, small local deals are irrevocably impacted by the status of international economies. For real estate brokers and developers, this poses unique...[read more]

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Five Steps to Successfully Manage Multiple Data Platforms

April 13, 2016 by Kevin Petrie

We data folks live in exciting times.As we saw at the Strata + Hadoop show in San Jose, open source developers continue to deliver new ways to analyze high volumes of fast-moving data.One of the hottest, Apache Kafka, can feed data from thousands of applications to emerging platforms like HBase and Cassandra. Enterprises can use Kafka...[read more]

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How Big Data Is Changing The Customer Service Industry

April 12, 2016 by Jared Jaureguy

What Is Big Data? (Just a quick refresher)Companies are driven by data, which is the only way that large companies with hundreds of thousands or millions of customers can keep up with the customer they have. A company that has a few hundred customers may be able to remember their customers offhand, but bigger companies that have millions...[read more]

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The Future of Economics May Be in the Hands of Machine Learning

April 11, 2016 by Ari Amster

Economists have largely preferred to act within their own field and interpretations. However, the rise of big data challenges, data analytics, and machine learning is beginning to change all that. In the summer of 2015, Susan Athey, a Professor of Economics of Technology at Stanford attracted a crowd of over 250 economists for a one-day...[read more]

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4 Ways to Close the Communication Gap and Get Your Data Seen

April 11, 2016 by John Kelly

Data experts and executive management teams know that for businesses to stay competitive and dynamic, data must be not only well understood, but also effectively applied. One of the major challenges for anyone working with data is not only to enlighten others about the story it tells, but also to effectively persuade executive leadership to turn those insights into actions. Smart leaders see that the data revolution is also a management revolution. To ensure they get the most out of their data, you (as a data scientist) need to be able to recognize and respond to typical roadblocks. Knowing what to do if you encounter this issue can help smooth disconnects between management and data experts and ensure a bright future for the business's bottom line.[read more]

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New Research Reveals the Biggest Benefits of Self-Service Business Intelligence

April 11, 2016 by Jeff Zabin

With self-service BI, managers can spend more time focused on optimizing their numbers rather than compiling and trying to make sense of them. Knowledge workers can get more work done within the same timeframe, and make better, faster decisions along the way.[read more]

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5 Ways Local Governments Can Benefit By Embracing The Cloud

April 8, 2016 by Elianna Hyde
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Many people look at the way their local government operates and think that they are still working like it is the stone age. They see governments working with massive amounts of paperwork. They look at the amount of time that it takes to get information or to get anything done that involves the local government. It leaves people to wonder if there is anything that can be done to improve the way the local government operates.[read more]

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Five Key Benefits of Retiring Legacy Applications to the Data Lake

April 6, 2016 by Sean Martin

With its promise to transform data management and analytics by providing access to all data across the enterprise, the data lake is quickly becoming more than just an industry buzzword.[read more]