Data Analytics (DA) is the process of examining data in order to draw conclusions about the information they contain, increasingly, with the aid of specialized systems and software. Data Analytics technologies and techniques are widely used in commercial industries to enable organizations to make more-informed business decisions and by scientists and researchers to verify or disprove scientific theories . Data Analytics can help :
The ultimate goal of data Analytics is to improve the business performance. Depending on the particular application, the data that's analyzed can consist of either historical records or new information that has been acquired from sales and practical experience.
Data Mining can be described as a process where usable data is extracted from larger set of raw data. It involves analysing data patterns in large batches of data using one or more software. Data mining has applications in multiple fields like science, research, telecom, healthcare, environment etc. As an application of data mining, businesses can learn more about their customers and develop more effective strategies related to various business functions and in turn leverage resources in a more optimal and insightful manner. This helps businesses be closer to their objective and make better decisions. Data mining involves effective data collection and warehousing as well as computer processing.
Key features of data mining include:
Exploratory Data Analysis (EDA) is the first step in any data analysis process. The data which has been collected has to be understood and manipulated to get the answers.EDA helps us to tackle specific tasks such as:
Our Team has expertise in specific statistical functions and techniques with R and Python to perform Exploratory Data Analytics.
Predictive Analytics uses past data to predict the future. Important trends are captured by building a mathematical model by utilizing the historical data. This model developed is known as the predictive model which uses the current data to predict what will happen next or suggests actions to be taken which will have the best optimal outcome. A predictive Analytics workflow is given below:
The easiest definition is when the computer has sight it is known as computer vision. Some facts about Computer Vision: