Data Analytics - Decision Making Strategy
What is Data Analytics?
Data analytics
involves gathering, transforming, and structuring data with the aim of deriving
conclusions, predicting outcomes, and facilitating well-informed
decision-making. Data analytics in other words is the science of analysing raw
data to make conclusions about that information. - Data
Analysis Online Course
5 Types of Data Analytics
·
Descriptive Analytics.
·
Diagnostic Analytics. .
·
Predictive Analytics. .
·
Prescriptive Analytics. .
·
Cognitive Analytics.
The following are some of the Data
analytics features
·
Data Collection:
Gathering and compiling relevant data from various sources, including internal databases, external repositories, and real-time streams.
·
Data Cleaning and Preparation:
Identifying and addressing inconsistencies, errors, and missing values in the data to ensure its accuracy and reliability. - Data Analytics Online Training
·
Exploratory Data Analysis (EDA):
Analysing and visualizing data to discover patterns, trends, and relationships, providing an initial understanding of the dataset.
·
Data Modeling:
Creating mathematical models that represent relationships within the data, facilitating predictions and simulations.
·
Machine Learning Integration:
Incorporating machine learning algorithms to automate the analysis process, enhance predictive capabilities, and adapt to changing data patterns.
·
Data Visualization:
Presenting data insights through visual elements like charts, graphs, and dashboards to make complex information more understandable and actionable. - Data Analytics Online Training Institute
·
Scalability:
The ability of analytics tools to scale and handle increasing volumes of data as organizations grow, ensuring efficiency and effectiveness.
·
Data Security and Compliance:
Implementing measures to ensure the confidentiality, integrity, and availability of data, while also adhering to regulatory requirements and industry standards. - Data Analytics Training
Conclusion:
Data
analytics is not merely a trend; it is a fundamental shift in how organizations
derive value from data. From uncovering hidden patterns to informing strategic
decision-making, the applications of data analytics are vast and
transformative.
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