As you look ahead to 2016, it’s a good time to ponder: what’s the “new black” for improving customer experience? The Beyond the Arc team decided to play the role of #stylespotter and share some of our predictions.

Leaders will retool their culture to become more customer-focused

There’s an old saying that culture eats strategy for lunch. To us,…

Introduction

This blog was originally posted as part of our Text Analysis 101 blog series. It aims to explain how the classification of text works as part of Natural Language Processing. It was the second blog on harnessing…

With the development of web technologies, an increasing amount of opinions are published online every day!!

People rely on the reviews more than before to help determine the quality of product in which they are interested!!

We use the chatter data from Twitter.com to forecast box-office revenues for movies!!

The data that is being generated on the social networks as a result of human activities is commonly referred as Social Data. This is one of the largest streams of…

Today, analytics-driven best practices dictate that, content collecting portals and other data-centric projects undergo the process of data cleaning and enrichment because analytic-oriented failures (i.e. descriptive, predictive, and prescriptive analytics models or reports) are often linked to the quality of data. To halt the perpetuation of bad data across the enterprise, initial “clean and enrich” initiatives have been effective including gathering missing or incomplete data, identifying…

Currently, high schools have some of the biggest challenges determining the individual paths of students that enter the school yard each day. In fact, both institutions and industries would like to know, for example, which student will graduate from a particular course program and which student will need assistance in order to graduate on time. Which graduates are most receptive to what kind of high education institution? Which non-graduates are most receptive to what kind of intervention to…

Historically, Leadership and Organizational assessments were recommended or promoted as means to determine if enterprises were effective and efficient. Often determined when all elements of the organization were aligned properly, resulting in superior performance. Today, some professionals advise their clients in ways to improve performance by conducting alleged unique assessment models similarly to the traditional form (e.g. gut-feeling approaches). The purpose of these assessment models…

A growing gap between those enterprises that, see the value of business analytics and are transforming themselves to take advantage of these new found opportunities, and those that have yet to embrace them. Businesses today have a plethora of data available from an increasing number of sources. While some appreciate the potential benefits others face difficulties using data beyond hindsight, to actionable insights or further - foresight. Read these books to learn more!…

Over 100 years ago, the great science fiction writer H. G. Wells was credited with saying, "Statistical thinking will one day be as necessary for efficient citizenship as the ability to read or write." It is clear that this statement is probably more true today than ever, as Big Data and Analytics are paraded before every aspect…

Social CRM is a business strategy, supported by a technology platform, business rules, workflow, processes and social characteristics, designed to engage the customer in a collaborative conversation in order to provide mutually beneficial value in a trusted and transparent business environment. It's the company's response to the customer ownership of the conversation.

Facing this topic I have made a personal research, and realize a synthesis, which has helped me to clarify…

Today’s organizations are challenged to gain insight into most productive marketing and sales actions across multiple channels they use. Doing this requires multi-channel marketing attribution approach.

Facing this topic I have made a personal research, and realize a synthesis, which has helped me to clarify some ideas. The attached presentation does not intend to be exhaustive on the subject, but could perhaps bring you some useful insights:  …

A Social Network is a theoretical construction useful in the social sciences to study social relationships.

Social network analysis refers to methods used to analyze social networks, social structures made up of individuals or organizations, which are connected by one or more specific types of interdependency, such as friendship, common interest, financial exchange, or relationships of beliefs, etc.…

Facing this new domain I have make a personal…

Big amount of information is available in textual form in databases or online sources, and for many enterprise functions (marketing, maintenance, finance, etc.) represents a huge opportunity to improve their business knowledge.

Sentiment analysis or opinion mining refers to the application of language processing to identify and extract subjective information in source materials. Generally speaking, sentiment analysis aims to determine the attitude of a speaker or a writer…

Improving our presentation skills will make for happier clients and bosses.  In this article, Tim Graettinger focuses on five crucial practices that will make your next presentation twice as good as your last.

Read the…

For a company, having "a presence" in social media is worthless unless it allows it to achieve some objectives. However, beyond the control of the company, social media talk about the company, under these conditions is it reasonable to ignore this space frequented by customers, prospects, partners and competitors?



Social media influences reputation, image, and perceived value. All this has an impact on business results, sales, recruiting new customers, the frequency of…

In the data mining process, where do data scientists like you and me add the most value?  Is it in exploring the data, uncovering anomalies and seeing relationships between elements?  In selecting transformations for the elements to improve their representations for modeling and analysis?  In building sophisticated predictive models?  For my money, the answer is ‘none of…

My company (Discovery Corps, Inc.)  president Tim Graettinger has released a new article I think you'll like:

"If you’re a data miner, there’s a good chance you saw the movie Moneyball.  For me, the movie was entertaining, but the book was really enlightening.  I found it to be a source of numerous and familiar lessons about data mining - while couched in the intriguing context of major league baseball.  In this article, I’d like to share some of…

WATCH THE VIDEO ON YOUTUBE:

https://www.youtube.com/watch?v=FrZyHlxfGMU