its a presentation helpful for the students of business and management information system.

2. DATA SHARING.
Defination:
• The ability to share the same data resource with multiple
applications or users. It implies that the data are stored in one
or more servers in the network and that there is some software
locking mechanism that prevents the same set of data from
being changed by two people at the same time. Data sharing is
a primary feature of a database management system (DBMS).
See data conferencing and groupware.

3. • The most significant difference between a file based systems
and database systems is Data sharing.
• It implies that the data are stored in one or more servers in the
network and that there is some software locking mechanism
that prevents the same set of data from being changed by two
people at the same time. Data sharing is a primary feature of a
database management system (DBMS). See data conferencing
and groupware.

4. IMPORTANCE/NEED OF DATA SHARING.
• Data, proper analytics, and related reports are crucial for
making good business decisions in today’s world.
• actionable and remarkably useful data is a waste if the proper
parties are not making use of it.
• , if they never see relevant data, then the investment made to
collect the data is wasted dollars.

5. • Data and insights must be both shared and understood
throughout your organization and team.
• This will result in better, more engaging customer experiences
and more actionable decisions and movements within your
organization
• The importance of sharing data is evident through the funding
of projects such as BioMedBridges and CORBEL

6. WHY SHARING DATA BETWEEN
DEPARTMENTS IS IMPORTANT
• the parties in charge of said data – may not have the
knowledge, skills, or experience to decide how relevant
something may be to the rest of your organization. The truth is
that there’s no way for data analysts and facilitators to know
everything.
• To share data between departments in your organization, or at
the least allow everyone to access data systems.

7. • Data Management Platform
A DMP gathers data from multiple sources and aggregates it
into one platform, then turns this data into audience profile reports so
you can learn more about who your most valuable customers may be,
and what makes them tick. It turns meaningless data into actionable
insights you can share with marketing, sales, or even your executive
teams.
• It allows you to easily share reports and collected data with others in
your organization.

8. ORGANIZATIONAL NETWORKING
• It is the concept of sharing vital information, details, stats, or
insights across departments to create a more efficient
organization.
• Network sharing is a feature that allows resources to be shared
over a network, be they files, documents, folders, media, etc.
These are made accessible to other users/computers over a
network.

9. • As, Data is, hands down, one of the most powerful, yet most
misunderstood factors of social and customer-based problem
solving. However, too many data owners get wrapped up in the
semantics of data as a marketing tool, worrying about costs,
value, and the survival of their thriving business.

10. • The human body is a great example of what can be achieved
when different departments or systems work together
efficiently.
• The brain tells the rest of the body what to do. Basic organs
keep the body alive and active, such as the heart, lungs, and
even the stomach. But no matter what is happening around a
person, their brain is constantly taking in information and data,
assessing what’s been collected and then using that to make a
decision or carry out an action.

11. • In the case of data sharing, your business or organization is the
body, and the various departments are the organs and limbs.
When used appropriately, data has the potential to transform
your entire organization.
• it’s not just about creating or passing around reports and
forecasts. The end goal is to get helpful data into the hands of
decision makers, executives, and management teams.

12. • Data sharing also requires a major change in the way of data
are handled and managed with in the organization. Data
sharing are of 3 (three) types. They are
• Sharing Data between functional units.
• Sharing data between management units.
• Sharing data between geographically dispersed location.

13. SHARING DATA BETWEEN FUNCTIONAL
UNITS
• The term data sharing suggests that people in different
functional areas are use a common pool of data. Each of these
are own applications without data sharing the marketing group
may have their data files. The purchasing group like accounts
group their own data files and marketing group have their own
data files and so on… each group benefits from its own data.

14. SHARING DATA BETWEEN MANAGEMENT
UNITS
• Different levels of users also need to share data . The three different
levels of users are
• 1. Operation level,
• 2. Middle Management Level,
• 3. Execute level.
• These three levels are corresponded to the three different types of
system these are Electronic data processing, Management
information system, and Decision support system.

15. SHARING DATA BETWEEN GEOGRAPHICALLY
DISPERSED LOCATION
• A company with several locations has important data
distributed over a valid geographically area sharing .
• A centralized database is physically contained to a single
location controlled by a single computer that is Personal
computer most function for which databases are created and
accomplished more easily

16. SHARING INFORMATION ACROSS AND WITHIN
ORGANIZATIONS SHOULDN’T BE CHALLENGING!
• Some questions
• What information sharing is necessary to be successful?
• What capability do you need in order to be able to share?
• What capabilities am I missing?