Being extremely versatile general purpose, professional programming language, Python offers plenty of applications. Python language is user-friendly and simple to grasp and this made it popular throughout the world. Python plays a critical role for data scientists to find out lucrative job opportunities. 

Today, Python has become the most in-demand programming language in the data science world. Python offers an extensive range…

In the data-driven enterprise system, Spark has become a popular name that is easy to use, offer speed and versatility. The data can be understood at fast speed allowing one to make faster decisions. The Big Data has a huge benefit with the faster data processing of Spark. This clustering of large datasets works with a framework in open source that helps in analyzing. The codes are done in the Scala that has made it possible and easier for data processing that gives a certain boost to the…

Today, enterprises recognize the critical value of advanced analytics within the organization and they are implementing data democratization initiatives. As these initiatives evolve, new roles emerge in the organization. The newest of these analysis-related roles is the 'analytics translator'. As the enterprise considers the relevance of this new role within the business, it is important to understand the responsibilities of an Analytics…

The narrow-sensed OLAP

OLAP is part and parcel of a BI application. As the name suggests, the word is an acronym for online analytical processing. Users, frontline employees, to be precise, are responsible for performing various types of data processing online.  

But, the concept of OLAP tends to be used in a very narrow sense. It has almost become an equivalence of multidimensional analysis. Based on a prebuilt data cubic, the analysis performs summarization…

Democracy is a great thing! The more involved people are, the more they understand, the better decisions they can make for themselves and for everyone else AND they can make a better contribution as well. Data Democratization works the same way. In years past, businesses thought that only senior management needed to understand the strategy and direction of the company but…

Telecommunications is complex business. As users we are mostly faced with one question- how to get the best deal out of the many telecom players in the market? But as an analyst in a Telecom company one may be faced with any one or more of the following question -

• How many Network Towers should be installed in a particular area to meet the rising demand given the rise in population, rising need of data connectivity and competition?
• What should be the optimum call rate…

Why do organizations seek to design effective multi-channel customer journeys? Customers demand it.…

All the hard work we put into the “model” on the right hand side of the equation, is only as accurate as the dependent variable was to start with in reflecting the business problem at hand.  Yet…. modeling efforts typically focus almost exclusively on the prediction of the objective variable, while often accepting the dependent “AS IS” with all that that…

Machine Learning is being hailed as “Next Generation Analytics”.Machine Learning tasks can be roughly classified as –

• Getting the data
• Cleaning the data…

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,…

Getting ready for the Industrial Internet of Things

 The IoT has been influencing the creation of a connected world where unbelievable amounts of data are generated from just about every imaginable thing. These connected, and previously dormant, things are now going to be able to communicate- from my dog’s collar, the milk carton, my car, my thermostat, my watch, my washer and dryer (not that I would particularly enjoy that conversation), you name it. This connectivity and…

In order for a business to be successful in today’s highly competitive world, it is necessary that to go above and beyond to prove themselves loyal and worthy of a customer’s relationship. There are many ways this is done, but it starts with the collection and analysis of various pieces of data. The data can provide an array of information that can be used to enhance the overall customer experience. However, it isn’t only the customer that benefits with the use of special data analysis…

In order to use Big Data effectively, a holistic approach is required. Organizations are now using data analytics at every level, and roles that previously would have had no need to concern themselves with data are now required to have some degree of understanding in order to leverage insights.

Ensuring that data is…

All businesses that own/control websites, blogs and web and/or mobile applications know the importance of having web analytics tracking code. Nonetheless, the implementation of said systems is more complex than most imagine it to be, leading to major and minor flaws in the instrumentation of the sites and applications as a result.

The explosion of…

From all indications, 2015 is well on its way to becoming the year of cloud computing. The feverish pitch of activities at key players on one hand and the data as well as observations of industry pundits affirm this. There are apparently  a handful of reason to keep the IT industry leaders awake at night.  

For starters, per , 2014 revenues for cloud services grew by…

Digital banking offers unprecedented opportunities both for banks as well as customers. It has provided banks breadth and ease in delivering their products and services to customers. As for customers, it has pushed service options and expectations to a new high. Given the opportunity spectrum, it is no surprise that banks have invested heavily in upgrading their digital preparedness. 2015 promises more investments in digital banking.

A definition of digital banking will be of help…

Currently I am working on a academic project that helps to identify factors that an organization must consider while creating a pricing policy. No this article has not to do anything around this but to set the context this is required.

When we talk about what should be the price of a particular thing? We need to answer a simple question

Do people really want that and how much are they willing to pay for it?

This was where my research…

Post the financial crisis, banks in the US have faced increased regulatory scrutiny that has resulted in broader and tougher regulations. Bankers are fully aware of the investments and efforts they have to put in to comply with these regulations. Consequently, compliance function in banks is evolving towards a broader risk canvas that is now seeking tighter coordination between the first and second lines of defense. This poses new challenges to banks – from being compliant to getting the…

What exactly is big data to an asset managers? It actually means more than sucking up social media data or spying on the satellite data. These are good data collection methodology - but realistically when you have a limited budget but you want to start something from ground zero, what should you do first? If you are to start it, what different elements you have to consider? I have some thinking about it - I wish that we can share more ideas here.

Consider supply…