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Data Management
Considerations:
Data has been around for a long time, it is the first element that
happens in the supply change and the last element that is considered. In
the supply chain arena the use of eSourcing is and will become more
prevalent. Data is the foundation of communication will become more and
more important as we more foreword in the use of e-tools. There are
certain considerations, which must be considered as we develop data or
fix the data we have. These considerations may be classified into the
following categories:
-Identification number (considering the dot dash comma and spaces) –
description (noun, adjectives, and attributes) - taxonomy – Data
sourcing – Data Cleansing - Data scrubbing – Data warehousing –
Electronic Data storage - Data management - Data architecture
Conclusion:
The information given above are some of the elements of consideration
in which each professional must deal with on a daily bases. Planning and
execution are the key areas in development and/or correction of data.
Without go reliable, understandable, and retrievable data, it becomes
very difficult to maneuver in electronic commerce arena. However, by
communicating with the members of the ECMG may be an additional resource
in your thought process.
Perspective:
It should be understood that change is happening daily and the
requirements for clear data communication is imperative. ESourcing is
moving faster and faster and if the data transmitted is not
understandable or missing many deals can and will be delayed. As
eSourcing grows from the use in the United States to the globe, the data
we present will have a large bearing on the processing time in the
supply chain. |
| Several key issues should be considered when
developing your data. Some of these issues are as follows:
• Development of the SKU and the use on numbers, dots – dashes – or other
attributes such as Alfa characters.
• The use of noun as the first step in the item description
• After the noun you would use any adjectives to describe the item
• From the adjective all the attributes such as materials, sizes, color,
est.
• Defining the unit of Measure and item is carried in and the value of
the unit
These are just a few of the ways data should be developed.
In e-commerce data is the foundation to communicate. The data must
be able to be stored retrieved and transmitted in both this country and
others.
In the electronic world of e-sourcing data is King the more you have and
be able to retrieve quickly and accurately the better informed you can be
the better decisions can be made |
Tools
Like anything else in the world of communication, it is
not easy and may become very challenging, unless we use some
fundamentals to work with. Listed below are some basic definitions to
work with:
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Data mining (DM), also called Knowledge-Discovery in
Databases (KDD) or Knowledge-Discovery and Data Mining,
is the process of automatically searching large volumes of
data for patterns using tools such as
classification, association rule mining, clustering, etc.. Data
mining is a complex topic and has links with multiple core fields
such as
computer science and adds value to rich seminal computational
techniques from
statistics,
information retrieval,
machine learning and
pattern recognition.
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A data warehouse is a computer system designed for archiving
and analyzing an organization’s historical data, such as sales,
salaries, or other information from day-to-day operations.
Normally, an organization copies information from its operational
systems (such as sales and human resources) to the data warehouse on
a regular schedule, such as every night or every weekend; after
that, management can perform complex queries and analysis (such as
data mining) on the information without slowing down the
operational systems.
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Taxonomy; from
Greek verb τασσεν or tassein, "to classify", and
νόμος or nomos, "law", "science".Originally the term
only referred to the science of classifying living organisms (alpha
taxonomy); however, the term was later applied in a wider sense
and, now, may be used to either refer to a classification of things,
or the principles underlying that classification. Almost anything,
animate objects, inanimate objects, places, and events, may be
classified according to some taxonomic scheme. Taxonomies, which are
composed of taxonomic units known as taxa
(singular
taxon), are frequently
hierarchical in structure, commonly displaying parent-child
relationships. The term taxonomy may also apply to relationship
schemes other than hierarchies, such as
network structures. Other taxonomies may include single children
with multi-parents, for example, "Car" might appear with both
parents "Vehicle" and "Steel Mechanisms"; to some however, this
merely means that 'car' is part of several different taxonomies. A
taxonomy might also be a simple organization of objects into groups,
or even an alphabetical list. In current usage within "Knowledge
Management", taxonomies are seen as slightly less broad than
ontologies. Mathematically, a hierarchical taxonomy is a
tree structure of classifications for a given set of objects. It
is also named
Containment hierarchy. At the top of this structure is a single
classification, the root node, that applies to all objects. Nodes
below this root are more specific classifications that apply to
subsets of the total set of classified objects. So for instance, in
common schemes of
scientific classification of organisms, the root is called "Organism"
followed by nodes for the ranks:
Domain,
Kingdom,
Phylum,
Class, etc.
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Electronic data storage is storage that requires electrical
power to store and retrieve data. Most storage devices that do not
require
visual optics to read data fall into this category. Electronic
data may be stored in either an
analog or
digital signal format. This type of data is considered to be
electronically
encoded data, whether or not it is
electronically stored. Most electronic data storage media
is considered permanent (non-volatile) storage, that is, the data
will remain stored when power is removed from the device. In
contrast, electronically stored information is considered
volatile memory With the exception of
barcodes and
OCR data, electronic data storage is easier to revise and may be
more cost effective than alternative methods due to smaller physical
space requirements and the ease of replacing (rewriting) data on the
same medium. However, the durability of methods such as printed data
is still superior to that of most electronic storage media. The
durability limitations may be overcome with the ease of duplicating
(backing-up)
electronic data.
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Data management comprises all the disciplines related to
managing data as a valuable resource. The official definition
provided by
DAMA is that "Data Resource Management is the development and
execution of architectures, policies, practices and procedures that
properly manage the full data lifecycle needs of an enterprise."
This definition is fairly broad and encompasses a number of
professions which may not have direct technical contact with
lower-level aspects of data management, such as
relational database management.
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Data architecture describes how data is processed, stored,
and utilized in a given system. It provides criteria for data
processing operations that make it possible to design data flows and
also control the flow of data in the system. Data architecture is a
term commonly used in one of two senses:
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A SKU or Stock Keeping Unit is an
identifier that is used by merchants to permit the systematic
tracking of products and services offered to customers. (It can be
pronounced as either skew or "ess-kay-you".) Usage of the SKU
system is rooted in the drill down method, pertaining to
data management. SKUs are assigned and
serialized at the merchant level. Each SKU is attached to an
item, variant, product line, bundle, service, fee or attachment
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The definition, agreement and practical use of units of
measurement have played a crucial role in human endeavour
from early ages up to this day. Disparate
systems of measurement used to be very common. Now there is a
global standard, the
International System (SI) of units, the modern form of the
metric system. The SI has been or is in the
process of being adopted throughout the world. The
United States of America is almost certainly the last to adopt
the system but even there it is increasingly being used. In trade,
weights and measures are often a subject of governmental
regulation, to ensure fairness and transparency. The
Bureau international des poids et mesures (BIPM) is tasked with
ensuring worldwide uniformity of measurements and their traceability
to the International System of Units (SI).
Metrology is the science for developing national and
internationally accepted units of weights and measures. In
physics and
metrology, units are standards for
measurement of
physical quantities that need clear definitions to be useful.
Reproducibility of experimental results is central to the
scientific method. A standard system of units facilitates this.
Scientific systems of units are a refinement of the concept of
weights and measures developed long ago for commercial purposes.
The above definitions come from Wikipedia encyclopedia.
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