Enterprise Resource Planning System (ERP)

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Enterprise resource planning (ERP) is business process management software that allows an organization to use a system of integrated applications to manage the business and automate many back-office functions related to technology, services and human resources. Today, ERP systems are critical for managing thousands of businesses of all sizes and in all industries. To these companies, ERP is as indispensable as the electricity that keeps the lights on.

Why choose custom ERP system development?

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Off-the-shelf software buying and customization will always seem cost-effective and time-saving as a result of less up-front fees as well as save the time taken in the development process. Despite these advantages, the quality is what matters and building an ERP system from scratch is more likely to meet the systems’ requirements and functionalities. Is it worth starting custom ERP software development? We have already dealt with this question in our article dedicated to the advisability of building an ERP system from scratch. Read it if you want to learn more about that. The short answer is “Yes”

HOW TO APPROACH CUSTOM ERP DEVELOPMENT PROCESS

Custom systems are more advantageous in delivering the proper needs of business operations but this is usually in addition to an organized and step by step development process. Custom ERP software development is a procedural process that includes:

1. Defining the project’s goals

This is the vision of the ERP development process. It is usually described by the client to the developer, he/she explains what the system should deliver at the end of the development process. Eventually, the client and the IT experts should come to an agreement on what the end product’s functionality and features should be.

2. Developing a Blueprint and Wireframing

Just like in most operations, a blueprint acts as the basis of the whole process, therefore, it should be well detailed. The custom system blueprint contains complete information about the development process, timeframe, and the resources to be used. It is a document created by every individual involved with the target system. This includes the system developers (whether in-house or outsourced), organization managers, IT leaders, and at times the end user of the software. They are all essential in the creation of the master plan.

Wireframing involves stating the components involved in the custom ERP development process, is it the sales, HR, accounts, procurement and so on. This creates the foundation of which of the business operations and the data to be integrated with the system.

Where the system is to be hosted?

A customized system can be hosted on your local servers or on the cloud. The decision on where to host the system is usually based on enterprise finances and policies. Nevertheless, the cloud is a more advantageous host for the following reasons:

It does not require extra staff to work on the systems as needed in the maintenance of your own local server hardware

Cloud provides better and guaranteed data security for the data.

More affordable to small businesses as it requires less additional hardware, servers among other equipment.

Flexible for a company whose users may grow in time as the cloud can be easily scaled.

Implementation of applications

In addition, there are usually legacy canned applications that are used by the enterprise and are essential to their operations. ERP developers are required to consolidate the legacy applications to the system or otherwise create new applications.

This involves writing codes to develop the new applications but in the existence of the legacy applications, you can use similar components in the apps for re-configuring. A developer has a great deal of work as there are some important pieces of software to the enterprise that must be retained while some of them are vintage and require massive re-configuring.

UX/ UI development

At this part developers majorly work with protocols to create presentation platforms for users. A developer has to create a front-end that will convert the data language to the user language as well as use XML for neutral dialects.

BIG DATA Solutions

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Big data is an important branch of computer science in recent years. Researches and innovations in the big data field have never stopped. Big data has developed rapidly and is affecting our lives more and more deeply. It’s time to review the history of the development of big data and forecast the trend. This article has two main parts, the first part is the development history and trend of big data, and the second part is the applications of big data.

The Development of Big Data

First, let’s look at the development of big data. A project called Hadoop was born in 2005. Hadoop is a very important technology in the field of big data. It provides a software framework for distributed storage and processing of big data using the MapReduce programming model. Many countries around the world and some research institutes have conducted some pilot projects on Hadoop, and have achieved a series of results.

The Development Trend of Big Data

So let’s take a look at the development trend of big data. How will big data develop step by step?

In the beginning, what we mainly did was to commercialize the open-source technology of big data, and further deepen related technologies. Also, related technologies are customized according to different industries.

In the second stage, we started to develop different big data applications according to the different industries and packaged the end-to-end applications of each industry, to open up new industrial markets.

In the third stage, we will further subdivide the industry market and further increase the scale.

In the fourth stage, big data will promote mergers and acquisitions of related companies, and then further increase the size and number of larger companies. When these tasks are done, big data is needed to really get some valuable analysis results.

In the fifth stage, a revolutionary method of big data analysis will begin to appear, it brings a new analysis concept and analysis method, which can get more accurate predictions of some data or results for a longer time in the future.

In the sixth stage, we will integrate big data and cloud computing, further improve the performance of big data, improve its computing efficiency. The universality and generalization of big data make more people accessible to big data technologies.

Then all-in-one big data machines will be released one after another, that is to say, the hardware and software of big data will be merged together, which can be quickly used by customers in the form of all-in-one machines. According to the different needs of customers, we can carry out some hardware and software custom development to adapt to the different characteristics of various industries.

Big Data Industry Applications

Let’s talk about the application of the big data industry. In this part, we mainly look at the related applications of big data in the telecommunications industry and related applications in non-telecommunications industries.

Big Data Application in the Telecommunications Industry

Let’s take a look at the main aspects of the application of big data in the telecommunications industry. Well, in the telecommunications industry, we have accumulated a lot of data: network data, operational data, and some of our other data. We analyze these data both individually and cross-fusion. We can incubate many different kinds of applications in the aspects of the network, customer relationship, business operation management, and data commercialization. Let’s take a look at each of them below.

Network Operation

First, we look at the application of big data on network operation. Big data has many applications on the telecommunications network. For example, the optimization of the network infrastructure and performance management are very typical related applications. We collect the performance information of the entire network of equipment and perform related summary and analysis. Then we look at where the infrastructure still has weak points that need to be strengthened, or if there is a failure, we need to fix it in a timely manner.

Customer Services

Then let’s take a look at the application in customer relationships. Daily operators in customer service need to deal with various queries from the customers. We can use big data technology to build a huge knowledge base for them in the back end to help them quickly and accurately find the answer, analyze and summarize the questions they receive every day. We can find out which problems are mainly concentrated, and then solve related problems.

Our services area:

Hotel Reservation System

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A hotel reservation system works by processing secure online reservations made through a hotel's website. The data is then passed onto a backend system which can be accessed by hotels to manage bookings. ... To sell rooms to capacity and to appeal to a global audience, a hotel reservation system is required.

Medical Record Database System

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A medical report is a comprehensive report that covers a person's clinical history. ... Ideally, your medical report should be completed by a doctor or medical professional who is familiar with your condition and who has treated you for a significant period of time

Website Development

Manage Network and Security Service

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Manage Network Service (MNS)