With technological advancement, artificial intelligence is set to touch and modify the financial sector, specifically retail banking in many different ways. It's still the beginning stages of AI adoption for most banks. A Narrative Science survey highlighted that 32 percent of financial executive participants utilize AI technology, such as voice recognition and predictive analytics. Moreover, an Accenture survey noted that 76 percent those surveyed believe most banks will use AI interfaces primarily for customer interaction by 2020. But AI is changing retail banking in more ways than one. [...]
The earth is having a difficult time, for quite a while now. Deforestation is still happening at a large scale across the globe, in Brazil alone, 40,200 hectares were deforested in the past year. The great pacific garbage patch is still growing and smog in Beijing is more common than a normal bright day. This is nothing new, unfortunately, and with Trump leaving the Paris agreement, it seems that problems will remain for a bit longer. However, there is some good news. Since a few years, scientists, companies and governments are turning to Big Data to solve climate change problems or even [...]
Prescriptive analytics can be seen as the future of Big Data. If we see descriptive analytics as the foundation of Business Intelligence and we see predictive analytics as the basis of Big Data, then we can state that prescriptive analytics will be the future of Big Data. There are three stages of big data analytics: descriptive analytics, predictive analytics and prescriptive analytics, where each stage offers more and better insights to create a better organisation. Each phase also growths in complexity as does the value it can offer the organisation.
Descriptive analytics enables [...]
Of course, you know all about web analytics or social media analytics, which has been around for years. However, web analytics and social media analytics alone is not enough to gain an understanding of your (online) business. There is another type of analytics that cannot be overlooked, which is content analytics. What makes it so special and why should you be paying attention to it?
Content analytics can be defined as unlocking business value from unstructured content via semantic technologies to find answers to important questions or discover causes to certain trends. Companies can use [...]
Customer Relationship Management involves a company’s interaction with current and future customers. It is a combination of all customer contact moments and it is used to provide a better customer service. CRM has always involved data, but most of it used to be structured data such as contact information, latest contacts, products bought etc. With the Big Data techniques, it is also possible to process, store and analyse massive amounts of unstructured data not supplied by the customer and use this to gain additional insights. Using Big Data technologies, Customer Relationship Management can[...]
The transportation sector is on the brink of a paradigm shift thanks to big data. Smarter transportation will result in operational efficiency, improved end-to-end customer experiences, reduced fuel consumption and increased flexibility. Logistics companies are already working hard to use sensor data in trucks to optimize the routing and decrease fuel consumption. American logistics company US Xpress has installed almost 1.000 sensors in each truck to monitor where the trucks drive, how fast it drives, how often it breaks, when maintenance is required and even the capabilities of the driver. [...]
Analytics-as-a-Service is the combination of analytics software and cloud technology. Instead of hosting any analytics software on premises using your own servers, you use a ready-to-go solution that is easy to deploy and most of the time has a pay-as-you-go payment system. It is part of a larger ‘as-a-Service’ solutions such as ‘Software-as-a-Service’ or ‘Platform-as-a-Service’. Thanks to the advancements made by well-known hosting providers such as AWS and Microsoft Azure, Analytics-as-a-Service has really taken off in the past years and is here to stay.
There are a lot of [...]
As discussed in the 7 Big Data Trends for 2017, organisations need to apply big data analytics to make sense of their organisation and their environment. The impact big data analytics will have on your organisation depends on which type of business analytics is applied within the business. There are four types of analytics, ranging from descriptive and diagnostic analytics to the more advanced predictive and prescriptive analytics. These are different stages of understanding your business and the more advanced the analytics is, the more complex it will be, but also the more value it can [...]
Winning customers for life is a challenging task for organizations. How can you connect with your customer and how can you ensure that they stay with your organization for a long time? Questions that many organizations face. Fortunately, with the advance of big data and analytics, it has become a little bit easier for organizations. These are challenging times for organizations. Organizations have to face disruptive innovations from many different angles and accelerated change in technological advances require organizations to constantly change and adapt. On the other hand, we have moved [...]
The quality of your data determines the quality of your insights from that data. Of course, the quality of your data models and algorithms have an impact on your results as well, but in general it is garbage in, garbage out. Therefore, (Total) Data Quality Management (DQM) or Master Data Management (MDM) have been around for a very long time and it should be a vital aspect of your data governance policies.
Data governance can offer many benefits for organizations, including reduced head count, higher quality of data, better data analysis and time savings. As such, those companies that can [...]