Data Analystics Glossary

is a data quality dimension that tells us whether data is fresh and current and whether data is functionally available when needed.For example, data files are delivered late, updates of scores are not completed on time.

• Structured Data

• Uniqueness

• Timeliness

• Unstructured Data

.....Analyzes past trends in data to provide future insights. It is used to answer the question, “What is likely to happen?” For example: Predicting profit or loss that is likely to happen in the next financial year.

• Regression Model

• Structure

• Predictive Analytics

• Machine Learning

is software for performing multidimensional analysis at high speeds on large volumes of data from a data warehouse, data mart, or centralized data store.

• data

• Online Analytical Processing (OLAP)

• AI

• Online transaction processing

is a branch of artificial intelligence based on the idea that systems/models can learn from data, identify patterns, and make decisions with minimal human intervention.

• Machine Learning

• HTML

• descriptive Analytics

• Metadata

is the process of replacing null or blank values in the data set with meaningful values like mean, median, previous, next value, most frequent, etc., for accurate analysis.

• Data cleaning

• out

• AI

• imputing

is a graphical representation of data in order to determine trends, insights, and complex relationships between variables. Different elements like graphs, charts, and maps help in understanding patterns, trends, and outliers.

• Big data

• Meta data

• Data visualization

involves checking the accuracy and quality of source data before using, importing, or processing data.

• Data profiling

• IT

• Data Validation

distinguishes among two or more discrete values or separates data into different classes, like whether an email is a spam or not, will the customer pay his loan on time or not.

• data modeling

• confortable data

• Classification Model

• conformity

is a data quality dimension, and so it measures how well the data aligns to internal, external, or industry-wide standards.

• bigdata

• Analytics

• AI

• Conformity

...is a process used in order to define and analyze data requirements that needs to support the business processes within the scope of corresponding information systems in organizations.

• completeness

• Data modeling

• Information Technology

• neutral networks