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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