G. Varalakshmi is a Data Analyst who manages a database with two team members. Her responsibilities include updating advertiser lists monthly, collecting data daily from websites, and maintaining magazines' external data. She collects product and company details from various websites to build industrial, textile, and automotive product finders. She also filters data for email marketing, captures complimentary copies, and sends special focus data to branches monthly. Previously she performed search engine optimization and Google analytics.

1. Name : G. Varalakshmi
Designation: Data Analyst
Team Members: 2 persons (Ms. Jasmine & Ms. Revathi)
Job Responsibility: Database Management
Job Description:
Data Updation:-
 Maintaining Advertiser’s list on monthly basis for all magazines.
 Updating the data’s on daily basis through extracting the same from Websites.
 Maintaining the other external Magazines data.
Data Collection for Marketing Purpose:-
 Collecting the data’s related to Industrial Products with their Company Address,
Person, Designation, Address, City, Pincode, State, Country, E-mail Id,
Websites, and Products details from Indiamart, TradeIndia, Yellowpages,
Magazines and other related websites for “Industrial Products Finder”.
 Collecting the data’s related to Textile Products with their Company Address,
Person, Designation, Address, City, Pincode, State, Country, E-mail Id,
Websites, and Products details from Indiamart, Tradeindia, Yellowpages and with
other related websites for “The Indian Textile Journal”.
 Collecting the data’s related to Automotive Products with the Company
Address Company Address, Person, Designation, Address, City, Pincode, State,
Country, E-mail Id, Websites, and products details from Indiamart, Tradeindia,
Yellowpages and with other related websites for “Automotive Products
Finder”.
 Culling the Visiting Cards like Exhibitions list, Collected by Executives received
from branches & H.O., Collecting data’s from Magazines, etc.,
 Maintaining Search Magazine Report.

2. Filtering data for EDM:-
 Filtering the data for EDM, which is based on Industrial Products and Categories.
Complimentary & Mailer data:-
 Capturing & sending the new data for IPF, APF Complimentary copies.
 Month wise 2000 mailer data’s are sending for Subscription.
Special Focus data to all branches:-
 Sending the month wise Special Focus data to all branches for marketing.
 Filtering out data like Product/Categories wise on request from branches.
Other Job Responsibilities Handled Earlier:-
 Search Engine Optimization: Writing the description of Industrial Products and
submitting with tags in various SEO related websites for Google rank.
 Google Analytics: Working towards Google analytics bits for promotion work.
Enterprise Resource Planning (ERP) is described as an enterprise wide set of management tool that
balances demand and supply, containing the ability to link customers and suppliers into a complete supply
chain, employing proven business process for decision making and providing high degree of cross
functional integration among sales, marketing, manufacturing, operations, logistics, purchasing, finance,
new products development and human resources.
ERP enables people to run their business with high levels of customer service and productivity and
simultaneously lowering cost and inventories. It provides the foundation effective e-commerce.
Database
With access to real time stock data, sales person taking an order can confirm the availability of the material.
When the sales person enters the sales order into the system, the order data is immediately available to
production, so manufacturing can update production plane and material management can plan the delivery
of the order. The same sales data is also available to accounting for preparing invoices.

3. ERP developers are continuing to develop customer resource management packages that increase the
efficiency of the sales force. ERP developers are also making existing system smarter by extending ERP’s
capabilities into more areas of decision support, management reporting and data generation.