Big Data has currently become a fundamental tool across most industries. Naturally, as a market that's always at the forefront of innovation and development, the gaming industry adopted it quickly, with many companies and brands harnessing the power of big data to improve their offering in 2020 and beyond. Analytical frameworks using big data are a natural fit for the gaming industry since today … [Read more...]
Cloud Computing
Cloud computing is becoming more and more important. Here are articles on Cloud Computing,Cloud Server,SaaS,PaaS,IaaS and Cloud related technology.
Machine Learning in Capital Markets : Part VI
This is the continuation of part V of Machine Learning in Capital Markets. The determined values can be converted into a uniform interval by scaling. The interval can range from -100 to +100 units. It is only important that all values are scaled so that the relative size is not changed. In contrast to the RSI method, individual outliers are not eliminated, only the size of the individual … [Read more...]
Required Transformation to Use the Hybrid Cloud Services
Despite the adversities we have described in the article The need of Digital Strategy for the Hybrid Cloud Services, the transformation began in most companies - sometimes only because a digitally more affine company was bought out and is now driving digital change. Managed services providers feel the insecurity of their customers. On the one hand, many companies no longer want to conclude … [Read more...]
The need of Digital Strategy for the Hybrid Cloud Services
Most of the managed services providers are technologically and personally prepared for the challenges of the new, hybrid IT world. They reach their limit if the customer does not pursue a clear digital strategy. Whether in your own company or the cloud: IT landscapes are becoming more complex. This is an important reason why companies obtain tasks such as IT security, maintenance of applications … [Read more...]
Machine Learning in Capital Markets : Part V
This is the continuation of forth part of Machine Learning in Capital Markets in Capital Markets. The technical indicators are intended to help identify a trend as early as possible. The result of the various technical indicators is to provide a mathematical value that is determined from the price and trading data. It also tries to incorporate information from the past into future forecasts. … [Read more...]
Sales Opportunities Through Customer Data Platform (CDP)
An American analyst coined the term customer data platform back in 2013. Since then, there are leading experts who research and explain how marketers use CDPs to address the most important marketing challenges to be able to solve. In our previous article, we have explained that Customer Data Platform (CDP) is a software platform which creates a persistent, unified customer database that can help … [Read more...]
What is Customer Data Platform (CDP)?
A Customer Data Platform (CDP) is a software platform which creates a persistent, unified customer database that can help the companies to gain a meaningful 360-degree view of their customers and, above all, their satisfaction. After all, customers who have been loyal to a company for a long time represent a reliable source of sales. Some of these software may provide marketing performance … [Read more...]
Machine Learning in Capital Markets : Part IV
This is the continuation of third part of the series. The basis of learning from data is gathering the sources of data which can generate the forecast and a methodology to be able to evaluate them. In order to be able to create stock forecasts using machine learning, the sources must first be defined with regard to the required data. For a forecast, the data should come from sources from which … [Read more...]
Machine Learning in Capital Markets : Part III
This part is the continuation of part II. With the help of fundamental analysis, the value of a company is assessed taking various factors into account. The fundamental analysis approach follows the assumption that the company in question has an economic value to which the associated share price adjusts in the long term. The value of the company in question is defined as the intrinsic share value. … [Read more...]
Data Integrity vs Data Consistency
Data Integrity and Data Consistency are for reproducing the correct information. Data integrity is the overall accuracy and consistency of data. A database can be said to be data consistent when the content under question does not give us the chance to infer a contradiction directly or indirectly. Data can be entirely consistent but entirely wrong. So, the phrase data integrity is about the … [Read more...]
Machine Learning in Capital Markets : Part II
This part is the continuation of part I. Machine learning should classify the data transmitted to it as efficiently as possible and without serious deviations. Consequently, all relevant characteristics must be selected and taken into account in order to be able to classify the relevant data. There are a total of three different procedures for annexing the existing data. In contrast to the … [Read more...]