Data Management
Introduction to Data management
What is Data Management?
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Data management involves acquiring, storing, organizing, protecting, and utilizing data in a
systematic and efficient manner.
It’s tasks include data collection, data entry, data storage, data integration, data cleaning, data
transformation, data analysis, data security, and data governance.
It includes practises and technology aimed at ensuring the quality, availability, and accessibility
of data throughout its lifespan.
Effective data management is crucial for organizations to make informed decisions, gain
insights, and achieve their objectives.
It is critical in increasing the value of data assets and ensuring effective and dependable
operations across various sectors and businesses.
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Data and Information
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Data and information are interconnected but distinct concepts in information processing.
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Data refers to raw, unorganized facts, figures, or symbols lacking context or meaning.
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Data represents discrete elements that can be collected, stored, and analyzed.
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When data is processed, organized, and contextualized, it becomes meaningful and useful
information.
Information provides insights, knowledge, and understanding, enabling informed decisions and
conclusions.
Transforming data into information involves extracting patterns, relationships, and interpretations
for significance.
Data serves as the foundation for building information, bridging the gap between raw facts and
valuable insights.
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Data and Information
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In an organization, data and information are used for the
analysis of relatively structured and unstructured data, as
well as semi-structured data.
Structured data is tabular data that can be readily
integrated into a database and used in analytics software
or other applications.
Unstructured data is raw and unformatted data, like that
found in a basic text document, where names, dates, and
other pieces of information are scattered throughout
random paragraphs. ​
Semi-structured data is information that doesn’t consist of
Structured data (relational database) but still has some
structure to it.​
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Unstructured data, Semi-structured data,
Structured data
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Different Types of Data
Text
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Example of text data: characters, strings
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Possible method to produce meaning from text data: the syntax that is used
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Uses of text data: words, email addresses, product codes, postal codes.
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Numbers
Example of text data: integers, decimals, currency, percentages
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Possible method to produce meaning from text data: graphs, charts
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Uses of text data: to perform calculations
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Different Types of Data
Images
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Example of text data: bitmap graphics, vector graphics, JPG, GIF, PNG
Possible method to produce meaning from text data: the surrounding information, information
text within the image, metaphor and semiotics
Uses of text data: logos, photographs
Animations
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Example of text data: SWF files and animated GIF files. ​
Possible method to produce meaning from text data: use of storytelling techniques, surrounding
information, informative text within the animation. ​
Uses of text data: web banners and other digital adverts.
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Different Types of Data
SOUND​
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Possible method to produce meaning from text data: processing the sound data through a
digital-to-analogue converter on a sound card and attaching a speaker.​
However, with some sounds, especially sounds that sound similar to one another, additional
data such as text, video or images may be required to produce meaning from sound data. ​
Uses of text data: music, speech.
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What is Database?
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A database is a structured collection of data.
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It stores data in a way that enables efficient retrieval and manipulation.
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Databases are designed to manage and organize vast amounts of information.
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They provide a central repository for storing and accessing data from various sources.
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Data in a database is organized into tables with rows and columns.
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Each row represents a record, and each column represents a specific attribute or field.
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Databases support various operations like querying, inserting, updating, and deleting data.
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They offer data integrity and security features to maintain data accuracy and protect sensitive information.
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Different types of databases exist, including relational databases, NoSQL databases, and object-oriented
databases.
Databases are widely used in applications ranging from small business tools to large-scale enterprise systems.
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Thank You
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