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All Blog Posts Tagged 'Big' (211)

Does Your Company Speak the Same Data Language?

“A company that ceases to grow will die;” a useful albeit slightly morbid mantra for any business trying to make it out there in the big wide world. How can business avoid such an outcome? One answer is by staying relevant, no mean feat in our rapidly changing environment.

Staying relevant is a question of recognising what your customers want and having the ability to deliver that requirement as quickly as possible. Easier said than done, however, with the enormous…

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Added by Amy Flippant on March 14, 2017 at 8:03am — No Comments

Data Virtualization: A Supermarket for Data

What is data virtualization? Here’s an analogy using a concept that we can all relate to: a supermarket.

Picture the scene: Shopping list in one hand, shopping basket in the other, you’re ready to tackle your weekly shopping in your local supermarket. Your items range from fruit and vegetables to washing detergent, perhaps with some free-range eggs thrown in for good measure. Quite the eclectic mix, but you know that you’ll be able to find all you need under one…

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Added by Amy Flippant on March 9, 2017 at 12:30am — No Comments

The Danger of Pursuing Customer 360 View

One of the best parts of my job is talking to a wide variety of customers across a wide variety of industries at a wide variety of different points on their big data journey. I’ve recently had several customer engagements where the client’s top business initiative is creating a Customer 360 View. Danger, Will Robinson!! I think the Customer 360 View business initiative is both dangerous and distracting; it is dangerous because it gives organizations a false goal to pursue, and it…

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Added by Bill Schmarzo on March 8, 2017 at 2:00pm — 2 Comments

A Critical Evaluation of Business Analytics in the Age of Big Data

Business Analytics and Business Intelligence are the most-heard terms in the global corporate environment lately. It refers to utilizing advanced technological tools to gain business insights and enhance performance. The predictive analytic methods with Big Data are becoming so prevalent in every industry.

Big Data rules

Big Data is believed to be here to stay. The hype we see about it is not temporary. The fundamental technological change it applies to the universal business…

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Added by Barrack.diego on March 1, 2017 at 9:00pm — No Comments

How B2B Ecosystems & (Big) Data Can Transform Sales and Marketing Practices

Managing your relationships with customers, suppliers, and partners and constantly improving their experience is a proven way to build a sustainable and profitable business, and contrary to popular assumption, this doesn’t apply to B2C businesses only. With…

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Added by Ronald van Loon on February 27, 2017 at 8:00am — No Comments

Data Science: Identifying Variables That Might Be Better Predictors

I love the simplicity of the data science concepts as taught by the book “Moneyball.” Everyone wants to jump right into the real meaty, highly technical data science books. But I recommend to my students to start with the book “Moneyball.” The book does a great job of making the power of data science come to life (and the movie doesn’t count, as my wife saw it and “Brad Pitt is so cute!” was her only takeaway…ugh). One of my favorite lessons out of the book is the…

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Added by Bill Schmarzo on February 9, 2017 at 5:30am — No Comments

Business Model Transformation and What it Means to the Data Industry

I recently read an MIT Sloan Management Review article by Clayton Christensen’s recent book titled “The Hard Truth About Business Model Innovations.” While the article is full of great observations about business model transformation, the most important motivation for business model transformation is found at the end:

“..our understanding of the business model journey allows us to see that, over the long term, the greatest innovation risk a company can take is to decide not…

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Added by Bill Schmarzo on February 7, 2017 at 4:30am — No Comments

All You Need To Know About Business Models in Digital Transformation

In very simple terms, Business model is how you plan to make money from your business.



A refined version is how you create and deliver value to customers. Your strategy tells you where you want to go and the business model tells you how you are going to do it.



In this time of industry 4.0 with Digital Transformation, businesses are getting disrupted faster than they get established. We all know what Apple did for music, Uber did for taxis and Airbnb did for…

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Added by Sandeep Raut on February 4, 2017 at 7:00am — No Comments

How to Build a Data Science Team





Businesses today need to do more than merely acknowledge big data. They need to embrace data and analytics and make them an integral part of their company. Of course, this will require building a quality team of data scientists to handle the data and analytics for the company. Choosing the right members for the team can be difficult,…

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Added by Ronald van Loon on February 3, 2017 at 6:00am — No Comments

Journey Science in Telecom: Take Customer Experience to the Next Level





Journey Science, being derived from connected data from different customer activities, has become pivotal for the telecommunications industry, providing the means to drastically improve the customer experience and retention. It has the ability to link together scattered pieces of data, and enhance a telco business’s objectives. Siloed…

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Added by Ronald van Loon on February 1, 2017 at 7:30am — No Comments

What I Always Wanted To Know About Big Data* (*but was afraid to ask)

When I first heard the term Big Data few years ago, I didn’t think much of it. Soon after, Big Data started appearing in many of my conversations with many of my tech friends. So I started asking a very simple question 'What is Big Data?'. I kept asking that question to various folks and I did not get the same answer twice from any number of people. ‘Oh, it’s lot of data’. ‘It’s variety of data’. ‘It’s how fast the data is piling up’. Really? I thought to myself but was…

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Added by Ramesh Dontha on January 9, 2017 at 1:00pm — 1 Comment

The rise of advanced analytics

In five short years the world of analytics has changed immeasurably. Five years ago Hadoop was reaching the peak of the hype cycle and it acted as a wake-up call to businesses that perhaps there is value in their data.

This evolved more recently into big data analytics. Although Hadoop opened a door to big data, it wasn’t actually the right tool for what most businesses needed – fast analytics, interactive experimentation with data and exploratory analysis of…

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Added by Aaron Auld on December 7, 2016 at 8:00am — No Comments

Getting the Social Data Intelligence right

As the reach of social data expands by every passing day, more and more people are posting their views, thoughts and ideas over a broad array of interconnected social networks. In the era of the booming social media it is critical for businesses to sieve through social data - data generated through the multiple social media channels to gather the actionable insights.

 

Garnering Social Data Intelligence

Simply mapping social data to figure out data…

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Added by Sherna Jay on November 17, 2016 at 9:53pm — No Comments

What Is the Future of Data Warehousing?

There is no denying it – we live in The Age of the Customer. Consumers all over the world are now digitally empowered, and they have the means to decide which businesses will succeed and grow, and which ones will fail. As a result, most savvy businesses now understand that they must be customer-obsessed to succeed.…

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Added by Ronald van Loon on November 1, 2016 at 7:00am — 4 Comments

Looking at the Big Picture: The Future of Big Data



At first there were a lot of different opinions, but now, almost everybody agrees that big data was able to take over the whole business world. A lot of businesses are relying on it and improving the tools they use for taming big data on a daily basis. They all agree that the importance of big data is huge and that everyone who wants to stay competitive in the business world…

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Added by Ivan Dimitrijevic on October 14, 2016 at 3:00am — No Comments

The 7 Myths of AI - By Robin Bordoli

The 7 Myths of AI

By Robin Bordoli

If you’re a business executive (rather than a data scientist or machine learning expert), you’ve probably been exposed to the mainstream media coverage of artificial intelligence or AI.  You’ve seen articles in …

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Added by Leena Kamath on September 29, 2016 at 9:30am — No Comments

More data beats better algorithms - By Tyler Schnoebelen

 

Most academic papers and blogs about machine learning focus on improvements to algorithms and features. At the same time, the widely acknowledged truth is that throwing more training data into the mix beats work on algorithms and features. This post will get down and dirty with algorithms and features vs. training data by looking at a 12-way…

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Added by Leena Kamath on September 23, 2016 at 12:00pm — 1 Comment

Creating Edge Intelligence for the Industrial Internet of Things (IIoT)

This article is about how to use a standards-based approach to deploy analytics on the edge of Industrial Internet of Things (IIoT) networks.

IIoT is here today. Wherever you look in aerospace, defense, energy production and/or transport, healthcare, manufacturing, mining, materials or smart cities the proliferation of…

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Added by Mark Rabkin on September 13, 2016 at 1:00pm — No Comments

Why Do Television Companies Need a Digital Transformation

Over just a few years, the world of television production, distribution, and consumption has changed dramatically. In the past, with only a few channels to choose from, viewers watched news and entertainment television at specific times of the day or night. They were also limited by where and how to watch. Options…

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Added by Ronald van Loon on September 8, 2016 at 1:30am — No Comments

Machine Learning Becomes Mainstream: How to Increase Your Competitive Advantage



First there was big data – extremely large data sets that made it possible to use data analytics to reveal patterns and trends, allowing businesses to improve customer relations and production efficiency. Then came fast data analytics – the application of big data analytics in real-time to help solve issues with customer relations, security,…

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Added by Ronald van Loon on August 18, 2016 at 7:00am — No Comments

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