Be Assured

Through the analytics available to it, Banking Sector was able to study customer behavior, build a future vision, and amend its credit criteria, which enabled it to enlarge the base of trusted customers and reduce the list of non-compliant customers. It was also able to develop a clear future plan based on correct and accurate information and extrapolations.

What is the Challenge?

Risk is considered as an integral part of the banking business, especially with its highly intensive competition, technological development and the increase in the volume of banking transactions.

Correct and accurate information is the basis upon which the risk management in a bank depends for ensuring its success and continuity in the banking market with satisfactory returns and low risks.

As such, correct information has become the most important pillar on which risk management relies in this fast-paced digital age, in order to be able to establish the credit criteria (identifying, measuring, monitoring and controlling credit risks) correctly; the credit decision-maker in banks cannot precisely predict the results of his decision, but he can, by analyzing the risks associated with credit operations, arrive at an estimate of the objective probabilities of the decision he is about to take. Undoubtedly, he would not be able to do so without the availability of accurate information.

To find a solution to this challenge, we partnered with the Banking Sector.

Real Data and Proactive Solutions:

At Elm, we seek to provide integrated solutions to our customers, in order to address the root causes of problems and give the best results. We have developed a new concept that anticipates the problem and prevents its occurrence, Allah willing, which saves millions of riyals for our customers, whether in the public or private sector.

It goes without saying that we will not be able to extrapolate the future or handle the present with decisions that are based on false information, and we will be distracted from our substantive work by carrying out massive support operations ... in which case, there will be no way to obtain quality data.

Our customers are now able to make real-time and proactive decisions in a practical way based on real-time and correct information, which has resulted in the saving of millions of riyals that would otherwise have been wasted – and the obtaining of information of this level of accuracy and high quality.

Natheer and the Banking Sector

Natheer has helped the Banking Sector with the following:

First Validity and Continuity of Information:

The traditional methods adopted for making the decisions of granting bank credit no longer meet the needs of credit decision makers, due to their limitations and slowness, and the increase in the data associated with applications for funding.

Accordingly, "Natheer" Service provides correct information and continuous automatic monitoring of any change that may occur to this information, which enables the bank to take the appropriate decision regarding these changes.

Second The Right Information at the Right Time:

Through "Natheer" Service, banks can coordinate in a timely manner with international reinsurance companies, whose conditions include reporting certain changes that occur in the insurance status, such as death, within a certain period, which limits the losses that may occur if there were to be a delay in the reporting of such information.

As such, "Natheer" Service, through its automatic and real-time monitoring of changes, has given the Bank enough time to take the appropriate measures at the right time and base its decisions on correct and accurate information.

Third Smart Reports and Analytics:

In our digital age, information has become the most expensive product that can be obtained. Through smart reports and comparison of results, the Bank is now able to study the customer's situation, and develop future visions based on clear grounds. One of the most common credit systems used by credit analysts worldwide is the "Five C's of Credit" system, i.e. the five credit criteria, which are as follows:


Customer's Character








Conditions (General Economic Conditions)