تولید اپلیکیشن و تولید سایت در افغانستان

 Customer relationship management (CRM) is a technology for managing all your company’s relationships and interactions with customers and potential customers. The goal is simple: Improve business relationships to grow your business. A CRM system helps companies stay connected to customers, streamline processes, and improve profitability.

 CRM

A CRM gathers customer interactions across all channels in one place. Managing centralized data helps businesses improve customer experience, satisfaction, retention and service.

 CRM

WHAT DOES CRM SOFTWARE STAND FOR?
In most cases, when people talk about CRM, they’re referring to a CRM system — a tool aimed at helping companies with sales, marketing and service management. CRM software allows businesses to focus on their company’s relationships with customers, colleagues, suppliers, etc. With a professional CRM in place, it becomes much easier to find new customers, win their trust, provide qualified support, and provide additional services throughout the relationship.

 CRM

The best part about a CRM system is that almost any organizational unit can benefit from it — from sales and customer service to recruiting, marketing, and business development. Good CRM software gives a better way to manage external relationships.

 CRM

Storing all customer information in one place, recording service issues, identifying sales opportunities, managing marketing campaigns — these are just a few capabilities that CRM features.
Since CRM provides easy access to data, it also becomes much easier for users to collaborate on different processes and increase productivity. Another strong argument in favor of CRM is that it is suitable for businesses of any size.

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 The main purpose of using wireless network is its flexibility, roaming, low cost, and high standard.There are basically three different types of wireless networks – WAN, LAN and PAN.

stay with avalindata to introduce each of them..

 types of wireless networks

Wireless Wide Area Networks (WWAN)
A WWAN is a network that covers a large geographic area, like, for example, a mesh network. A Wireless Wide Area Network is transmitting tiny packages of information between devices, mostly through sensors. A WWAN is using mobile telecommunication cellular network technologies such as LTE, GSM or cellular digital packet data (CDPD) to transfer data.

 Wireless Wide Area Networks

Wireless Local Area Network (WLAN)
WLAN are wireless networks that use radio waves. The backbone network usually uses cables, with one or more wireless access points connecting the wireless users to the wired network. The range of a Wireless Local Area Network can be anywhere from a single room to an entire campus.

 Wireless Local Area Network

Wireless Personal Area Network (WPAN)
Wireless personal area networks (WPANs) connect devices within a small area, somewhere around within a person’s reach. A WPAN has a typical range of about 30 feet. They are commonly used to interconnect compatible devices near a central location, such as a desk.
With billions of wireless devices on the air already, and many billions more projected to join them in the next few years, many radio frequency bands are becoming crowded, and interference is a growing problem. You should consider this when designing your next product.

 Wireless Personal Area Network

information about network Wi-Fi
Wi-Fi is widely correlated to wireless networking as it has become the standard for home networks and public hotspot networks. The benefits of Wi-Fi is that it runs over longer distances but in carefully controlled environments. The protocol is limited to work within single residential or commercial buildings and outdoor areas within short range.

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 Wireless networking is one of the most popular and fastest growing technologies on the market today. From home networks to enterprise-level wireless networks, people are eager to take advantage of the freedom and convenience that wireless networking promises. However, while wireless networking is convenient, it is not always deployed securely. Insecure wireless networks are found in people’s homes and in large corporations. Because of these insecure deployments, penetration testers are often called in to determine what the security posture of an organization’s wireless network is, or to verify that a company has deployed its wireless network in a secure fashion.

 Wireless networking

A wireless network allows devices to stay connected to the network but roam untethered to any wires. Access points amplify Wi-Fi signals, so a device can be far from a router but still be connected to the network. When you connect to a Wi-Fi hotspot at a cafe, a hotel, an airport lounge, or another public place, you’re connecting to that business’s wireless network.

 Wireless networking

Advantages of Wireless Networks
– It provides clutter-free desks due to the absence of wires and cables.
– It increases the mobility of network devices connected to the system since the devices need not be connected to each other.
– Accessing network devices from any location within the network coverage or Wi-Fi hotspot becomes convenient since laying out cables is not needed.

 Wireless networking

– Installation and setup of wireless networks are easier.
-New devices can be easily connected to the existing setup since they needn’t be wired to the present equipment. Also, the number of equipment that can be added or removed to the system can vary considerably since they are not limited by the cable capacity. This makes wireless networks very scalable.
– Wireless networks require very limited or no wires. Thus, it reduces the equipment and setup costs.

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Servers are often categorized in terms of their purpose. A few examples of the types of servers available are as follows:

A web server is a computer program that serves requested HTML pages or files. In this case, a web browser acts as the client.

 web server

An application server is a program in a computer in a distributed network that provides the business logic for an application program.
A proxy server is software that acts as an intermediary between an endpoint device, such as a computer, and another server from which a user or client is requesting a service.

 proxy server

A mail server is an application that receives incoming emails from local users — people within the same domain — and remote senders and forwards outgoing emails for delivery.
A virtual server is a program running on a shared server that is configured in such a way that it seems to each user that they have complete control of a server.

 virtual server

A blade server is a server chassis housing multiple thin, modular electronic circuit boards, known as server blades. Each blade is a server in its own right, often dedicated to a single application.
A file server is a computer responsible for the central storage and management of data files so that other computers on the same network can access them.

 file server

A policy server is a security component of a policy-based network that provides authorization services and facilitates tracking and control of files.
A database server is responsible for hosting one or more databases. Client applications perform database queries that retrieve data from or write data to the database that is hosted on the server.

 database server

A print server provides users with access to one or more network-attached printers — or print devices as some server vendors call them. The print server acts as a queue for the print jobs that users submit. Some print servers can prioritize the jobs in the print queue based on the job type or on who submitted the print job.

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Data science can add value to any business who can use their data well. From statistics and insights across workflows and hiring new candidates, to helping senior staff make better-informed decisions, data science is valuable to any company in any industry. In this article, we are going to discuss Why is data science important for business?

 Data science

 Improving the relevance of your product
Data science methodologies can explore historicals, make comparisons to competition, analyze the market, and ultimately, make recommendations of when and where your product or services will sell best. This can help a company understand how their product helps others and, as needed, question existing business processes.
This constant analysis and reflection using data science provides a deep understanding of the market’s response to your company’s products and services. By taking a hard look at how your product is being used the most, you can rethink your model to ensure you’re offering the solutions that your customers need.

 Data science

Finding your target audience
It is estimated that we create roughly 2.5 billion GBs of data per day. With this ever-growing amount of data, collecting what’s important for your customers and your business can be a struggle. Every piece of data that your company collects from your customers – whether it be social media likes, website visits, or email surveys – contains data that can be analyzed to understand your customers more effectively.

 Data science

By using data science with the information your customer provides, you can combine data points to generate insights to target your audience more effectively. This means you can tailor services and products to particular groups. Finding correlations between age and income, for example, can help your company create new promotions or offers for groups that may not have been accessible before.

 Data science

Implementing data science methodology throughout your business can add value in a variety of ways across decision making, recruiting, training, marketing, and more. Data analysis can lead to making well-informed decisions that allow your company to grow in smart, strategic ways. Taking the time to use data science and discover the evidence behind your performance is a tool that every business should find valuable.

 Data science

Here are five common ways in which data scientists can add value to businesses:
1- Decision Making With Quantifiable, Data-Driven Evidence.
2- Testing Those Decisions.
3- Translating Your Data into Actionable Insights.
4- Recruiting the Right Talent for Your Organisation.
5- Identifying and Refining Target Audiences.

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