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Analytics

Do You Have Any Rights in the Age of Big Data Analytics?

July 23, 2014 by Lachlan James

Your rights and big data.

With Big Data-related excitement on the verge of finally reaching a crescendo, many market analysts are forecasting gargantuan outlays. But, as more organizations begin to explore the potential of Big Data Analytics in greater depth, many practical, moral and legal challenges will further emerge, requiring our attention.[read more]

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The Amazing Ways Big Data Is Now Used in HR

July 22, 2014 by Bernard Marr

The Big Data Guru column.

Employees are a both a business’s greatest asset and its greatest expense. One company offering unique solutions to help others tackle this challenge is Evolv, and in this post I will have a look at what they do, and why it’s an important – but controversial - example of big data analysis driving business growth.[read more]

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How the Internet of Things Is Making Food Safer

July 22, 2014 by Rick Delgado

Food safety.

One area that stands to benefit greatly from the IoT is the food industry, more specifically making improvements in food safety. With advances in wireless technology and cloud computing, the IoT has the potential to make food safer from the farm all the way to the customer’s dinner plate.[read more]

A Case for Digital Transformation in the Pharmaceuticals Industry

July 21, 2014 by Mithun Sridharan

The pharmaceuticals industry.

Digital technologies and internet have been instrumental in dislodging the pharmaceutical industry from the cozy position it once occupied. For the industry to rejuvenate itself, it has to leverage the very tools that brought about this shift.[read more]

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Banking on Hadoop: 7 Use Cases for Hadoop in Finance

July 20, 2014 by Michele Nemschoff

Finance. 

The bottom line is that all enterprises, especially financial firms, need to use big data and Hadoop technologies to their fullest potential now, particularly with the overwhelming amount of data and transactions amassed on a daily basis In order to remain competitive and maintain current customers while attracting new ones, financial firms should start planning to utilize big data.[read more]

How Data and Analytics Can Help the Developing World

July 19, 2014 by Travis Korte

The Developing World.

While commentators routinely discuss the opportunities for the United States and many other developed countries to use data and analytics to improve the lives of their citizens, the many opportunities for data to transform the developing world are less well-known.[read more]

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Data and Dating: How Agencies are Using Big Data to Find the Perfect Match

July 17, 2014 by Rick Delgado

Data and dating.

Dating agencies still have plenty of challenges to overcome to fully utilize big data. Sites need to work on fine tuning their algorithms to make better matches. They also need to find new ways to generate data, while filtering out data that is inaccurate or leads to less than satisfying results.[read more]

Get Deep Audience Intelligence Where It Matters: From Your Ads

July 16, 2014 by gennaro leo

Deep audience intelligence.

Intelligent ads are truly transformative across the sales landscape. The additive value of rich audience analytics accompanied with pure ad performance "metrics" allows our partners to articulate the premium value of their audiences and enables them to tell much more comprehensive stories in sales pitches.[read more]

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3 Ways Big Data Is Changing Financial Institutions Forever

July 15, 2014 by Bernard Marr
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The Big Data Guru column.

Big data and financial services are natural match – after all, with nothing to manufacture, and no physical product to sell, data is the bedrock the industry is built on. On top of that, most of their business is quantitative – they mainly deal in good old-fashioned numbers – the simplest data to record and analyse.[read more]

Is There One "Right" Strategy to Implement Business Intelligence?

July 14, 2014 by Ray Major

How do I implement BI?

o avoid disappointment, plan on a BI strategy full roll out to take not just a few months, but more in the range of 1-2 years. Provide new capabilities in stages, or phases. This allows your users to acclimate to the new way of doing business, and provide feedback on a contained functionality set.[read more]

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Retail is Dead. Long Live Retail!

July 14, 2014 by Charles Settles

Using data for retail.

Walmart has several strategies to grow their ecommerce operation. Their distribution system is already the model upon which others are built — including Amazon’s. They have already been leveraging their supply chain management system, built on collaborative, vendor-managed inventory, to secure their place as the largest retailer in the world.[read more]

Stream vs. Batch Processing: Which One is the Better Business Operations GPS?

July 11, 2014 by Dale Skeen

Stream vs. batch processing.

Many organizations across industries leverage “real-time” analytics to monitor and improve operational performance. Essentially this means that they are capturing and collecting data in lots from various systems and analyzing it in batches through periodic on-demand queries.[read more]

Is Big Data Good or Evil?

July 11, 2014 by Bill Franks

Analytics matters.

With all of the lawsuits working through the courts and all of the scary possibilities being discussed in the media, it has led some people to assume that big data is inherently evil. Once you believe that big data is evil, a natural response is to try and shut down the collection and analysis of big data to the maximum extent possible. While big data certainly has risks, it would be a classic case of throwing out the baby with the bathwater if the use of big data is shut down.[read more]

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How Predictive Modeling is Changing the Way We Work and Live

July 10, 2014 by Sergii Shelpuk

Predictive modeling.

Thanks to ongoing advances in computing and warehousing technologies, big data keeps getting bigger and advanced analytics such as predictive modeling make it ever more useful. The proliferation of smart devices, cloud computing and SaaS applications, both in our personal lives and the workplace, gives us the ability to know more about human behaviors and practices than ever before.[read more]

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The Impact of Big Data on Linguistics

July 9, 2014 by Gil Allouche

Big data and linguistics.

Linguistics is an area that is constantly changing from one day to the next. There’s no stopping the evolution of language, and with the web and social media the speed at which it’s evolving has increased dramatically. There are so many contributing factors to language that impact how and when it changes that it can be extremely difficult to track and completely understand what about the language is changing and why it’s changing.[read more]