BRAND RUKON - AN OVERVIEW

brand rukon - An Overview

brand rukon - An Overview

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In one embodiment, as set forth earlier mentioned, there are occasions in which once the grouping analytics module 124 has determined many candidate the accounts according to the account grouping information 142, the transaction grouping info a hundred and forty four, plus the consumer grouping knowledge 146, during which no account or accounts in the user are actually identified as staying the most probably accounts to which the monetary transaction should be sorted. In such a case, the grouping analytics module 124 performs additional Assessment to determine a number of candidate accounts. particularly, the grouping analytics module 124 can further analyze the fiscal transaction info linked to the fiscal transaction as a way to identify further more characteristics in the economic transaction beyond simply the service provider or service provider string connected to the monetary transaction. The grouping analytics module 124 can identify from the economical transaction facts, economical transaction description information that describes features of your fiscal transaction.

in a single embodiment, very similar account features vectors will involve vectors that have similar details values in several in their information fields. Accounts which can be used by different users for equivalent functions will have economical transactions with a few or many of the similar or related merchants.

Additionally, the disclosed approach and method for helping people to form monetary transactions into person accounts based upon transaction grouping facts, account grouping info, and consumer grouping info offers for sizeable advancements to the technological fields of electronic financial transaction facts processing, info processing, details management, and user encounter.

The grouping analytics module 124 can routinely kind the fiscal transaction or can request that the person form the fiscal transaction into one of many accounts of your person that were identified depending on examining the traits with the financial transaction.

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At block 210 the grouping analytics module 124 analyzes the economical transaction details determined by the account grouping details, the transaction grouping facts, and the person grouping info, As outlined by just one embodiment.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. one is actually a block diagram of software package architecture for helping buyers to sort money transactions into person accounts determined by transaction grouping details, account grouping facts, and user grouping info, in accordance with a person embodiment.

In one embodiment, each monetary transaction during the user financial management details 136 involves service provider identification knowledge that identifies the service provider or vendor involved with the fiscal transaction. In one instance, a specific user has an account for costs connected with foods offered to staff members during lunch conferences, for Particular occasions, for Office environment functions, etcetera.

In one embodiment, the financial management procedure generates account grouping facts by to start with making account properties vector knowledge. The account properties vector information involves, for each of the varied accounts of the various end users with the economical management procedure, a respective account attributes vector. Every single account traits vector features a plurality of information fields. Each information field is associated with one or more retailers. Each and every details field features a respective info entry in the info area. The data entry in a knowledge industry of an account qualities vector is an indication of the amount or proportion of monetary transactions from the account that involve the merchant or merchants related to the data industry. Embodiments with the current disclosure make account grouping data including teams of similar accounts by analyzing the account attributes vectors of most of the accounts and figuring out account characteristics vectors which are equivalent to one another.

in a single embodiment, a system helps users to kind economical transactions into consumer accounts based upon transaction grouping information, account grouping information, and user grouping details. The program features at the least a single processor and at least 1 memory coupled to the at least a single processor. The not less than just one memory has saved therein Guidance which, when executed by any set of the one or more processors, carry out a approach like acquiring economic transaction facts associated with a whole new economical transaction of a present user of a economic administration system. The process features analyzing account grouping information that defines teams of accounts of people of the fiscal administration system based upon how economic transactions of your people from the financial administration process have been sorted into your accounts.

consequently, associations may perhaps depict a number of subsets of the second team of information which might be affiliated with a number of subsets of the main team of information, As outlined by a person embodiment. in a single embodiment, the relationship in between two sets or groups of data consists of, but will not be limited to similarities, differences, and correlations in between the sets or groups of information

If a economic administration procedure were being to test to sort fees linked to these accounts, it is achievable that a economical administration process wouldn't correctly kind monetary transactions relevant to the account titled “stationary”.

aiding buyers to form economical transactions into person accounts based on transaction grouping facts, account grouping details, and person grouping facts is just not an summary plan because having an accounting system realize the actual usage designs of each and every person's account yields major improvement to your complex fields of user expertise, customer service, shopper retention, and electronic economical management, Based on one particular embodiment. The present disclosure provides significantly to the sphere of electronic economic administration as the disclosed economic management process increases the knowledge of the requirements and needs of buyers on the financial administration method, increases the capacity on the monetary management method to supply automatic guidance in sorting, grouping and categorizing monetary transactions, boosts the chance of enhancing/keeping a user's have faith in during the fiscal management program; and lowers the amount of time end users spend running their funds, As outlined by one particular embodiment.

these an Digital accounting program can brand rukon help buyers to save lots of time by getting rid of the need to Examine with several various fiscal institutions as a way to manage their finances. However, traditional fiscal administration devices are not able to improve the fiscal management services furnished to their people mainly because the standard financial administration systems are unable to adequately aid buyers in sorting their economical transactions into their several accounts.

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