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Data
Data and information
management: Databases and
warehouse.
¿What is a Data?
The data is one of
the most
important
strategic assets of
the organizations,
they are discrete
and in itself it has
no value.
What is done with the data?
Data Information Knowledge
They are managed
to generate
decision making to generate
information and knowledge
Information and
knowledge are
organizational
resources that
can provide a
competitive
advantage.
Characteristics of the data
1.Format:Field length and character class
• Structured format: It is the traditional format of files
and databases:
Name, address, age ...
•Unstructured format: It does not contain defined
fields, neither in time nor size.
currently between 80% and 85% within organizations
corresponds to unstructured information
2.Content:
Type of data.
3. Origin of the data:
•The data can come from
sources:
internal operation.
External source
data management
The objective of data management is to
provide the infrastructure and tools to
transform the data into high quality
usable information
Process:
•Comprehension of data.
•Data quality and continuous
improvement.
•Increase in data with the continuous
improvement of its value.
•Data integration combining similar
data from different sources
Data management is a structured
approach
data sources
and
databases
Storage: Data
warehouse and
Data mart
data analysis,
data mining
Results
Solutions,
applications,
CRM, ERP, SCM
Difficulty in data analysis:
•exponential increase in data.
•Data is dispersed across organizations and the
network.
•The data is obtained from multiple and different
sources.
•the data degrades over time.
•the social data.
•the security, quality, integrity of the data are
critical.
•redundant data.
Government data.
Data management approach, through the creation of unambiguous rules
for the creation, recoinage, manipulation and protection of information.
With the aim of making information available, transparent and useful for
authorized persons
Data requirement: the
data must be unique,
correct, timely,
consistent, complete,
transparent and useful
for authorized persons.
Master data management
It covers all processes and applications, storage,
maintenance, exchange and synchronization of master
data.
Master data: They gather
multiple transactions and are used
to categorize, evaluate, aggregate
transactional data.
Transactional data:they are
the data that is generated and
captured by the operations
systems, describe activities or
business transactions.
Data hierarchy.
Bits
Bytes
Fields
Registry
Archive
Databases
Conclusion
The data is the main input for the formation of classified information
of the companies, for that reason the management of the data is
interested in the reliability of the same. On the other hand, as an
initial element for the creation of information within the company, it
becomes a fundamental part of the process of making decisions
within the company. Finally, it is worth noting that within the global
context of globalization and the wide flow of information, data
management is a challenge, but at the same time it opens the door to
technological tools such as Warehouse and Data Mart that allow us
to fulfill the objective of information systems within organizations..

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Data

  • 1. Data Data and information management: Databases and warehouse.
  • 2. ¿What is a Data? The data is one of the most important strategic assets of the organizations, they are discrete and in itself it has no value.
  • 3. What is done with the data? Data Information Knowledge They are managed to generate decision making to generate
  • 4. information and knowledge Information and knowledge are organizational resources that can provide a competitive advantage.
  • 5. Characteristics of the data 1.Format:Field length and character class • Structured format: It is the traditional format of files and databases: Name, address, age ... •Unstructured format: It does not contain defined fields, neither in time nor size. currently between 80% and 85% within organizations corresponds to unstructured information
  • 6. 2.Content: Type of data. 3. Origin of the data: •The data can come from sources: internal operation. External source
  • 7. data management The objective of data management is to provide the infrastructure and tools to transform the data into high quality usable information
  • 8. Process: •Comprehension of data. •Data quality and continuous improvement. •Increase in data with the continuous improvement of its value. •Data integration combining similar data from different sources
  • 9. Data management is a structured approach data sources and databases Storage: Data warehouse and Data mart data analysis, data mining Results Solutions, applications, CRM, ERP, SCM
  • 10. Difficulty in data analysis: •exponential increase in data. •Data is dispersed across organizations and the network. •The data is obtained from multiple and different sources. •the data degrades over time. •the social data. •the security, quality, integrity of the data are critical. •redundant data.
  • 11. Government data. Data management approach, through the creation of unambiguous rules for the creation, recoinage, manipulation and protection of information. With the aim of making information available, transparent and useful for authorized persons Data requirement: the data must be unique, correct, timely, consistent, complete, transparent and useful for authorized persons.
  • 12. Master data management It covers all processes and applications, storage, maintenance, exchange and synchronization of master data. Master data: They gather multiple transactions and are used to categorize, evaluate, aggregate transactional data. Transactional data:they are the data that is generated and captured by the operations systems, describe activities or business transactions.
  • 14. Conclusion The data is the main input for the formation of classified information of the companies, for that reason the management of the data is interested in the reliability of the same. On the other hand, as an initial element for the creation of information within the company, it becomes a fundamental part of the process of making decisions within the company. Finally, it is worth noting that within the global context of globalization and the wide flow of information, data management is a challenge, but at the same time it opens the door to technological tools such as Warehouse and Data Mart that allow us to fulfill the objective of information systems within organizations..