Select Page
Creating an SAP SQL Server deployment can be very difficult if you don’t understand the various SAP Statistics requirements. This article will help you understand SAP Statistics, and how it relates to your deployment. It is often easier to understand SAP Statistics requirements when you begin with the basics. In this article we’ll define what SAP Statistics is, what the different options are for application, how they can be integrated and finally, we’ll look at the most important of all SAP Statistics requirements – availability of data.

When you are working with a software solutions company, they will often ask you for a detailed description of the software that you are using in your deployment. These companies want to make sure they are getting all the functionality they need from your deployment. The most common question a company may ask is “what kind of data does your application use? “.

The answer to this question will give the company an idea of how many different types of data they need to collect from various product uses. You also need to consider what the storage requirements are, whether this will be a relational database or a non-relational database.

Many companies using SAP products also will need to consider the choices of SAP Accountability. In the US these companies have to keep track of the account management data for their vendors. One way of ensuring compliance is to set up a centralized database for this purpose.

When it comes to your company’s SAP CRM or Customer Relationship Management (CRM) system, it is also a good idea to be familiar with what type of data needs to be collected and stored for your company. This includes items such as, sales, pricing, customer demographics, etc. So it is critical that you understand the necessary components of your CRM system before you go through the process of converting to an SQL environment.

The final requirement is availability of data. If your data is unavailable then all of your activities have to be stopped. If a problem with your database makes your entire deployment unavailable then the entire deployment is shut down. No customer data, no CRM data, no SAP CRM data. Do not allow that to happen.

That is a big NO. That is why I told you not to go SQL only. While converting your entire system to SQL is likely going to be complicated and expensive, once you are in SQL you will need to have a mechanism in place to recover from quickly if data is lost. This is one of the requirements SAP Statistics is also very strong on.

Before data loss occurs in a production environment, one of the first things you should do is to run an outage analysis to determine the areas that have the most risk. Then you should address those issues and mitigate them. The right system and the right implementation can significantly reduce your risk to interruption.

Why is data loss so important? Well one of the challenges in the business world is that one mistake can result in a significant outage. So while your customers are waiting for you to come back to them, there is a good chance you might lose all of their business. So you really need to make sure that the data is there to be recovered if it goes offline.

Most companies that are moving into SQL and are moving to the other half of the world will be able to adopt some sort of application monitoring solution that automatically alerts them in the event that the service is interrupted and the data is lost. After a few minor incidents, you’ll know you are ready to convert.

Once you are prepared to migrate to SQL, you will need to understand how to maintain your SAP SQL server. There are tools and systems that can automate your daily maintenance tasks. In my opinion, a good implementation that will help you get a bird’s eye view of what is going on with your environment is an application called “Swarm”.

With Swarm you will be able to see all of the traffic that is passing through your SAP systems. So with Swarm you can create user accounts and populate all of the data structures that you need to manage in your SAP. dashboard.

Share This