Let me talk about the data management.
One of the key segments of data management is to ensure that the system has got good data quality because
as we know data is the key.
Data is the key to your business.
So it is very essential that we have good quality data in the system and then sales force.
There are several areas that we need to pay attention to maintain the data quality.
So one of that key areas is to take proactive measures before the data even gets into the system.
So basically we can divide that into what proactive measures meaning before the data gets into the system
and react to measures.
So after the data gets into the system basically data maintenance so when they die is being entered
into the system.
What are all the measures that we need to take to ensure that only good data is being input into the
system.
So in that aspect the very first step is to evaluate the incoming data.
So that is what we are going to talk about in this video and then we have to enforce data entry standards
and procedures and also why Mars importing records.
We have to have some considerations in mind so that we do not import any duplicate data or bad data.
So a floor of ensuring that we have to understand the whole concept of duplicate management and how
efficient we can use duplicate management to avoid duplicates in this system.
And then we should also have a data stored in a team so that we can always be sure that the data that
we have is of good quality and there are no redundancy perfect.
So let's talk about the first proactive measure that is evaluating incoming data.
So we'll always you know we all know prevention is better than cure right.
So rather than having bad data in the system and then spending all of the time and effort in data cleansing
it is always a good practice and the best practice to ensure that the data even before coming into the
system is good and of good quality.
All right.
So that in itself like handles half the problem.
Right so what are our data that is incoming all the incoming data has to be of good quality.
There should be no duplicates.
There should be no redundancy.
So all those has to be handled even before the system gets it even before the data comes into Salesforce.
So that does our first proactive measure.
First we have to evaluate all the incoming data sources so to control all those incoming data.
First we need to know what all the incoming data sources in the VA system and as a senior our admin
even data management is definitely one of our key task right.
It is definitely one of the key areas that needs to given importance because only good data can produce
meaningful reports which can help the business in all aspects.
So first as an madman you need to know from that data is coming into sales force and this might differ
from project to project because that is in almost standard data sources across all args.
So that different and the first from our was all you have to do your research and see what all your
what are all the different data sources.
That does therefore your autumn and the general data sources are number one manual data entry.
Right so this is pretty common uses enter data into the system manually.
So they log into as Fuller's application and go to that particular object and they log in data so that
does a flustered data source.
Point and the next is that bulk data imports.
So this is also a pretty common one and that this sometimes business users do and sometimes they give
the data to the sales force technical team and on behalf of the users the upload a bulk data into the
system.
So this is also pretty common in most of the args and other web to lead.
So we may have to lead and through that we may have a lead input into the system and we may have multiple
APAC through which sandhills is getting data from other sources.
Right.
But these are not the only options.
There might be other options that every order might have which are different from project to project
so these are some of the common data sales entry points.
The manual entry bulk data import them to lead and they may have several API is with several other legacy
systems through which they may be constantly getting data so as a senior admin first in this whole concept
of data management the number one task should be to evaluate the incoming data to evaluate what role
the data as well as points for your order.
Because only after you evaluate that you will be able to control all the incoming data.
You'll be able to put in check points so that you do not get bad data from outside.
And once you analyze and finalize all the data source points for your arc then we need to put in data
check points for all of the sources say for example manual data entry then we need to sort out what
all the check points that we can have to ensure that the data is entered clean while manually entering
data into the system.
Next as bulk data import.
So what do we do for bulk data input.
Next is there to lead.
So how can we make it better.
Other APAC then we need to check the integrations so we need to actually analyze each and every data
source point.
And how do we analyze that.
We'll be discussing in the upcoming sessions.
But the whole point of this video is that you need to have a good understanding of the various data
inputs sources so do your research in the org and to ensure that the data is entered accurately through
various and resources.