The document presents a comprehensive overview of data collection, storage, and access, distinguishing between data and information. It outlines key functions of databases, the importance of internal and external data sources, and strategies for effectively populating and maintaining databases. Additionally, it addresses the implications of big data and emphasizes the significance of accessibility and analysis for informed decision-making.

1. Data collection, storage and access.
A presentation by - Amruthraaj, Miral and Vishwas

2. Contents
1) Data vs Information
2) Define the database functions
3) Define the information requirements
4) Identify the information sources
5) Storing the information right
6) Populating the database right
7) Maintaining the database right
8) Big Data
9) Case Study
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3. Data vs. Information
What’s the difference?
1

4. Data:
● Raw facts
● No context
● Just numbers and text
Information:
● Data with context
● Processed data
● Value-added to data
● Summarized, organized and analyzed
4
Data vs. Information

5. Data Collection
How do you do it best!
2

6. Define the
database
functions
6
Data is organized into two subsets
reflecting operational and
analytical purposes: OLTP (online
transaction processing) and OLAP
(online analytical processing)
Strategic CRM: uses data
to identify which
customers to target for
acquisition, retention and
development or
generating insight.
Analytical CRM: uses it
to support marketing,
sales and service
decisions.
Customer data can be
used across forms of
CRM.

7. Define the information requirements
A Direct Marketer -
Planning an e-mail
campaign needs open
and click-through rates,
e-mail preferences,
HTML or text etc.
A Senior Manager –
Will need segmentation
details, customers, what
do they buy, who do they
buy from and
preferences.`
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The best people to decide what information is needed are the ones who interact/communicate with
the consumers

8. Internal Data:
● Foundation of most CRM
programs
● Information available through
customers who contact the
company
● This contact can be either direct or
via. dealers/partners/agents etc.
Enchancing internal data:
● Compiled list data (Individual level
data assembled by list bureau or
vendors)
● Census data (govt. or census
records)
● Modelled data (data by 3rd parties
where they assemble it)
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Identify the information sources
Information can be sourced via. 2 sources – Internally and Externally

9. Data Storage
Taking you through the secure ways and options available!
3

10. Operating Systems:
● Linux
● UNIX
● Microsoft
● Mac
Database Back-end:
● SQL Server
● MySQL
● DB2
10
Storing the information right
The size of the databases. even standard desktop PCs are capable of storing huge
amounts of customer-related data

11. 11
Populating the database right
The main steps in ensuring that the database is populated with appropriately accurate
data are as follows:
1
Verify the data Validate the data
2
De-duplicate the data
3
Merge and purge data
from two or more
sources
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12. 12
Maintaining the database right
The main steps in ensuring that the database is maintained properly are as follows:
SecureTimelyRelevantAccurateTransportableShareable
🔑

13. Data Access
Anywhere, anytime, anyhow.
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14. 14
Accessing the database right
Over the years accessibility to data has changed!

15. Big Data
● Describes the large volume of data
● Both structured and unstructured
● It inundates a business on a day-to-
day basis
● What organizations do with the data
matters
● Big data can be analysed for
insights that lead to better decisions
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16. Any questions?