If you ask anyone, they will probably tell you that dates are the simplest data formats they have ever worked with. This is because they use dates all the time in different documents and applications, and they (dates) have never caused any confusion. However, when they start digging deeper into dates or even time formats, they realize that dates are more complicated than they initially thought. … [Read more...]
Data Architecture: What You Need To Know
Data architecture is a sub-discipline of IT architecture. The data architecture takes a holistic view of fundamental structures and processes related to data or information. In this article, we'll take a look at what it's all about and review some common mistakes people make when working with data architecture! The data architect is responsible for defining the future situation, alignment … [Read more...]
Big Data in Sports
Big Data is a very simplified concept that refers to an ensemble of data that cannot be stored in traditional databases because of their complexity, speed, and most of all, the volume of information. The amount of data known as big data needs other types of storage that are mostly organized in cloud services and other platforms of storage. A common mistake is thinking about Big Data as a generic … [Read more...]
Why You Need A Big Data Consultant
In the age of information, it's important to have access to all of the data that can be used in your business. Some companies don't take the time to think about this and that's why they don't get as much success as they could. If you want your company to grow and be successful, then you'll need big data consulting services. Understanding the data dilemma Data is growing at an … [Read more...]
How To Leverage Big Data In Social Media
It’s not news that social media marketing has become a modern and essential part of every business's marketing strategy. Through the various social media platforms, firms can reach a wider audience and engage with them. Aside from this, they can also learn more about their audience and make effective content through the metrics features that these platforms provide. However, using social media … [Read more...]
What is Data Reconciliation?
Data reconciliation in the narrow sense is the comparison of electronic data solely to detect the differences. In a broader sense, this includes the alignment of data sets with each other. After that, each of the storage media contains the same updated data. A well-known example is the comparison of address data and appointments between a handheld computer (or PDA) and a (main) computer. The … [Read more...]
Big Data in Education: Importance and Benefits
Before the Second World War, most of the time-consuming calculations were operated manually, limiting the data analysis’s potential and scales. After the War, certain post-analysis was made, and scientific computing began to progress. Each company with resources was encouraged to create original software via special formulas and algorithms, and then upload various data into the written programs. … [Read more...]
What is Click Analytics?
Click analytics is a special type of web analytics that is click-oriented and constitutes the first stage in the conversion funnel. Click analytics is useful for the analysis of web activity, marketing, software testing, market research and analyzing employee productivity. That is, click analytics serves fundamentally to help improve the website and show website owners what their site visitors are … [Read more...]
What is Open Database Connectivity (ODBC)?
Open Database Connectivity (ODBC) is a standardized database interface that uses SQL as the database language. It thus provides an application programming interface (API) that allows a programmer to develop his application relatively independently of the database management system (DBMS) used, if an ODBC driver exists for it. ODBC allows you to set up the database access details (credentials), … [Read more...]
What is Statistical Inference?
Inferential statistics is a part of statistics that comprises the methods and procedures that utilize induction to determine properties of a statistical population, from a part of it. Its objective is to obtain useful conclusions to make deductions about a totality, based on the numerical information of the sample. It is dedicated to the generation of the models and predictions associated with … [Read more...]
What is False Discovery Rate?
The False Discovery Rate (FDR)is used to control multiple test problems. For a test procedure, it is defined as the expected ratio of incorrectly rejected null hypotheses to the rejected null hypotheses as a whole. In statistics, false discovery rate (FDR) is a method of detecting the rate of Type I errors in the testing of a null hypothesis. FDR control procedures are designed to check the … [Read more...]