Using the past to predict the future is a time-honoured practice. Of course it can backfire — which is why financial services firms are required to inform us that ‘past performance is not a guide to future performance’ — but customer behavior is often remarkably consistent. Which is why the
Being able to communicate effectively is the most important of all life skills. Communication can make or break our world. It can build up healthy and productive relationships or break them forever. For example, how many times each one of us has experienced quarrels that are just a result of
Regardless of the industry and the company size, companies today have access to a huge amount of data. In order to convert this Big Data into useful insights, analytics strategies aligned with business objectives are required, supported by technology, commitment of the top management and a cultural shift that involves the entire organization. A
At this stage our organization has already defined the business objectives for Data Governance programme (step 0) and started to manage business terms, as described in step 1. Step 2: tracking data flow in organization Data Governance is not only related to understanding the data – it also focuses on
Some of the most common questions from customers are about their analytics administration. Often regarded as house-keeping, administration failures can nevertheless cause real pain. The typical day-to-day tasks of analytics administration include checking availability and health of the analytics platform components, allocating proper resources for users like memory, file systems,
The Internet of Things (IoT) is drastically changing our lives, whether this is at home, in the car, at work or even in the street. Gartner has predicted that by 2020, 20.8 billion devices will be connected. Moreover, the potential economic impact of IoT by 2025 is estimated to be
Having introduced the term of Data Governance and defined business objectives, we can start to fulfill the first tasks within Data Governance programme construction. Step 1: business meaning of data While conducting their activity, organizations use many industry-specific terms. The mere definition of who a customer is for the company
21st century is the era of information revolution, when mass exploitation of data is a part of daily routine. Nowadays any business requires that the information driving the decision-making process be of a high quality, timely delivered and, above all, reliable and that it ensure security of the activity conducted.
The world nowadays is full of all sorts of data. With so much information from such a wide range of sources being compiled on a daily basis, we need to be capable of processing and analysing it extremely quickly. We also want information and knowledge immediately to hand, and are
Everybody talks about Analytics today. Analytics have become so popular that you will hear concepts like “data science” in popular TV shows, such as House of Cards, and I truly expect my grandfather to ask me what I think of big data just about any day now. When I decided
