Data And Info Management Concepts Flashcards
(27 cards)
What is data?
Data are raw, unorganized facts and figures that need to be processed. Data can be something simple and seemingly random unless until it is organized.
What is information?
Information is useful data that has been organized, structured and presented in a given context.
Name the types of data.
Unstructured and structured data.
Transactional and master data.
What is structured data?
This is sometimes known as traditional data which mainly has text files that are well organized.
It has clearly defined data types which are easy to search and analyze.
What is unstructured data?
It is everything else data that is usually not searchable these are formats like audio, video and social media postings.
Difference between structured and unstructured data.
S is clearly defined and searchable whilst U is stored in its actual form.
S is quantitative whilst U is qualitative.
S is stored in data warehouses while U is stored in data lakes.
S data is easy to search and analyze while U data requires more work to process and understand.
S data exists in predefined formats while U data is in a variety of formats.
What is Transactional data?
This is data relating to day to day transactions.
What is master data?
This is data that remains unchanged over a period of time. It is key business info that supports the transactions.
Info key concepts ?
Data that has been processed to be meaningful.
Data processed for a purpose.
Data that has been interpreted and understood by the recipient.
Qualities of good info?
Must be concise
Must be provided in a timely manner
Must be communicated to the right person
Must be communicated via right channel
Must be less costly than value provided
Must be relevant
Must be clear
Must be sufficient accuracy
Must be complete
Must be trustworthy
Roles of data and info in the organization?
Planning
A business needs to know the resources it has.
Info about the markets in which it operates and actions of competitors.
Controlling
Info is needed to help identify wether things are going better or worse and spot how things can be corrected.
Measuring
Info is used to measure performance
Decision making
Strategic, tactical and operational.
What is strategic information?
Used to help plan the gleams of the business as a whole and how they are being achieved.
E.g Profits, size, growth and competition and investments.
What is tactical information?
How the resources of the business are being used.
Info about business productivity
Profits and cash flow in short terms
Pricing info
What is operational info?
This information makes sure that specific tasks are carried out the way they are supposed to (As Planned)
What is Info management?
This is the management of organizational processes and systems that acquire, create, organize, distribute, and use information.
It is the function of planning, controlling, and delivering data effectively in an organization.
What is involved in info management?
Practicing disciplines in development
Execution
Supervision of plans and programs
Policies and practices that protect, control, deliver and enhance the quality and value of data information in the organization.
Benefits to of info management.
Efficiency improvements
Protection from data related problems and risks.
Data quality improvement
Minimized errors
Consequences of poor data and info management?
Data redundancy
Data inconsistency
Poor availability of data
Poor data security
Error prone data
What is the data life cycle?
This is the sequence of life stages that a particular unit of data goes through from it’s initial generation to its archival or deletion at the end of it’s useful life.
Elements of data life cycle?
Acquisition: process of recording or generating a concrete artifact from the concept.
Curation: maintains value and making sure data is available for discovery and reuse in the future.
Preservation: retaining usability of data in some source for intended and unintended use.
Data Processing
Data is processed prior to it’s use.
It involves tasks such as movement, integration, cleansing, enrichment, and the extract transform load processes.
Data Analysis
Interpretation of data so useful data can be extracted.
Data Usage/Data publish
Data used to support the org’s objectives and operations.
Data Archival
Data is removed from production environments. It is no longer processed, used or published but stored in case needed again in the future.