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Analytics

Why Oh Why Is It So Difficult? Implementing Sales and Operations Planning

August 1, 2014 by Ray Major

Sisyphus.

Embrace the fact that the data isn’t where it needs to be. Make reliable data part of the project, not a prerequisite. Doing this will help everyone envision the desired future and will set the stage for some quick wins. And quick wins will unleash the dynamic duo of momentum and optimism.[read more]

IBM Brings Sophistication to Customer Analytics and Prediction

July 31, 2014 by Richard Snow

Customer analytics and prediction.

Companies already have huge amounts of customer-related data, and if you factor in the increasing volume of electronic communications, social media and the coming Internet of Things, this need will grow more acute. IBM has a variety of analytic products and is developing more.[read more]

Understanding User Expectations

July 30, 2014 by Lyndsay Wise

What do users expect?

Self-service access to analytics is becoming a key component when trying to expand BI and analytics access throughout the organization. For SMBs, this is especially important. Organizations need access to information that is relevant to business pains being experienced and to plan for the future.[read more]

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Big Data: The 4 Layers Everyone Must Know

July 29, 2014 by Bernard Marr

The Big Data Guru column.

There is still so much confusion surrounding Big Data. I thought it might help to clarify the 4 key layers of a big data system - i.e. the different stages the data itself has to pass through on its journey from raw statistic or snippet of unstructured data (for example, social media post) to actionable insight.[read more]

Fraud Prevention and Customer Experience Management: How Banks Leverage Real-Time Analytics to Achieve a Balance

July 29, 2014 by Dale Skeen
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Banks and real-time analytics.

The key takeaway here is that real-time analytics empowers banks to respond to the threat of a large-scale third party breach quickly, decisively and individually, thereby protecting the integrity of hassle-free fraud protection and mitigating losses. It’s good for the bank, and it’s good for customers.[read more]

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3 Organizations That Can See the Future with Predictive Analytics

July 26, 2014 by Michele Nemschoff

Predictive analytics.

The ability to foresee the future would certainly be the ultimate competitive advantage. In reality though, no business has a crystal ball for making critical decisions. That’s why all critical business decisions have always carried a certain amount of risk. This risk has always and will always be part of the competitive game.[read more]

America’s Favorite Pastime is Having a Data-Driven Renaissance

July 24, 2014 by Samantha Meckler

Baseball stadium.

Though live experiences are where sports fandom was born, the digital universe is what helps keep that fandom alive. So sports teams, leagues and venues are all charged with the task of owning and controlling the billions of data points collected each day when fans purchased merchandise, bought tickets, interact with a website, an app, a campaign, a social page, etc.[read more]

Pageviews are Dead, Engagement is King

July 24, 2014 by Tracey Wallace

Which analytics matter?

The pageview as a metric is dying a slow death, and you need little more than to keep your eye on the new digital "disruptors" to see the once hailed metric's downfall. Let's first define "disruptor," because not all new digital ventures are such. In order for a disruptor to truly disrupt, the created revenue stream, if or when there is one, needs to flow to different pockets than those previously worn by the legacy brands.[read more]

How Social Intelligence Can Identify Weak Points in Your Customer Journey and Drive Decision-Making

July 24, 2014 by James Ainsworth
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Customer journey.

Taking an ineffective approach to social media leads to either shallow inferences from the data or a general lack of awareness about its effects on the business. This prevents understanding of current opportunities, how to explore them and how to mitigate the current threats and risks.[read more]

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
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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]