What is Pay Per Click?

Search engine advertising is one of the most popular forms of .Pay Per Click stands for pay-per-click, a model of internet marketing in which advertisers pay a fee each time one of their ads is clicked. Essentially, it’s a way of buying visits to your site, rather than attempting to “earn” those visits organically.

It allows advertisers to bid for ad placement in a search engine’s sponsored links when someone searches on a keyword that is related to their business offering. For example, if we bid on the keyword “Pay Per Click software,” our ad might show up in the very top spot on the Google results page.

What is Google Ads?
The Ads platform enables businesses to create ads that appear on Google’s search engine and other Google properties.

Google Ads operates on a pay-per-click model, in which users bid on keywords and pay for each click on their advertisements.

Conducting Pay Per Click marketing through Google Ads is particularly valuable because, as the most popular search engine, Google gets massive amounts of traffic and therefore delivers the most impressions and clicks to your ads.

Quality Score – Quality Score is Google’s rating of the quality and relevance of your keywords, landing pages, and Pay Per Click campaigns. Advertisers with better Quality Scores get more ad clicks at lower costs.

Keyword Relevance – Crafting relevant Pay Per Click keyword lists, tight keyword groups, and proper ad text.

Landing Page Quality – Creating optimized landing pages with persuasive, relevant content and a clear call-to-action, tailored to specific search queries.

Pay Per Click Keyword Research

Keyword research for Pay Per Click can be incredibly time-consuming, but it is also incredibly important. Your entire Pay Per Click campaign is built around keywords, and the most successful Google Ads advertisers continuously grow and refine their Pay Per Click keyword list. If you only do keyword research once, when you create your first campaign, you are probably missing out on hundreds of thousands of valuable, long-tail, low-cost and highly relevant keywords that could be driving traffic to your site.

An effective Pay Per Click keyword list should be:

  • Relevant :– the keywords you bid on should be closely related to the offerings you sell.
  • Exhaustive :– Long-tail keywords are more specific and less common, but they add up to account for the majority of search-driven traffic. In addition, they are less competitive, and therefore less expensive.
  • Expansive :-If you want to find high-volume, industry-specific keywords to use in your Pay Per Click campaigns, be sure to check out our popular keywords.

Managing Your Pay Per Click Campaigns

Once you’ve created your new campaigns, you’ll need to manage them regularly to make sure they continue to be effective.

Split Ad Groups: Improve click-through rate and Quality Score by splitting up your ad groups into smaller, more relevant ad groups, which help you create more targeted ad text and landing pages.

Add PPC Keywords: Expand the reach of your Pay Per Click campaigns by adding keywords that are relevant to your business.

Add Negative Keywords: Add non-converting terms as negative keywords to improve campaign relevancy and reduce wasted spend.

Review Costly Pay Per Click Keywords: Review expensive, under-performing keywords and shut them off if necessary.

Refine Landing Pages: Modify the content and calls-to-action of your landing pages to align with individual search queries in order to boost conversion rates. Don’t send all your traffic to the same page.

The Pros

1.Using Pay Per Click can allow you to set your own budget. If you are bidding for keywords, you can set a certain amount that you’re willing to spend. If you’re paying a website, once your limit has been reached, the website can remove the ad for the day or week, depending on how often your ad is clicked.

2.Pay Per Click is a great way to ensure your page can be seen. When it comes to search engines, if your ads are on the top of the results, whether they are clicked or not, they will still be seen. Even using an advertisement on a website can get your business name out there.
Having the option to target your audience by location is a great reason to choose Pay Per Click advertisement.

3.This can make bidding for specific keywords easier and only receiving clicks from clients that you know are potential ones. Someone living in California is not going to click on an advertisement for a Massachusetts bakery.

4.Oddly enough, you can run your own pay-per-click ads on your own website. Some of the hyperlinks that many keywords are connected to can lead the customer to another one of your pages, or even click on an ad that you will end up paying for, but paying yourself.

The Cons

1.Unfortunately, there is no guarantee that a consumer clicking your ad will turn them into a buyer. You still have to pay for their click whether or not they did it accidentally or purposely.

2.Competitors can continuously click on your advertisement link until your budget has ended and your ad disappears, or until you’re broke. Again, accidental clicks occur too, so be sure to factor those into your Pay Per Click budget.

3.The cost of bidding for keywords using search engine results can be expensive. Depending on how broad of a term or even how specific truly matters. Your competition can be businesses that have been around and in the top rankings for ages be sure to prepare for a bidding war, if necessary.

4.Pay-per-click advertising takes time. If your traffic does not increase and you shut down the Pay Per Click after a month, you’re not really giving it enough time to succeed in the first place. Successful Pay Per Click advertising can take anywhere from 3-6 months.


BI(Business Intelligence) is a set of processes, architectures, and technologies that convert raw data into meaningful information that drives profitable business actions.It is a suite of software and services to transform data into actionable intelligence and knowledge.
Business Intelligence has a direct impact on organization’s strategic, tactical and operational business decisions. BI supports fact-based decision making using historical data rather than assumptions and gut feeling.
Business Intelligence tools perform data analysis and create reports, summaries, dashboards, maps, graphs, and charts to provide users with detailed intelligence about the nature of the
The main purpose of Business Intelligence in a business is to help corporate executives, business managers and other operational workers make better and more informed business decisions. Companies also use BI to cut costs, identify new business opportunities, and spot inefficient business processes ripe for re-engineering.

Why is Business Intelligence important?
The potential benefits of BI tools include accelerating and improving decision-making, optimizing internal business processes, increasing operational efficiency, driving new revenues and gaining competitive advantage over business rivals. Business Intelligence systems can also help companies identify market trends and spot business problems that need to be addressed.
Business Intelligence data can include historical information stored in a data warehouse, as well as new data gathered from source systems as it is generated, enabling BI tools to support both strategic and tactical decision-making processes.
Initially, BI tools were primarily used by data analysts and other IT professionals who ran analyses and produced reports with query results for business users. Increasingly, however, business executives and workers are using BI platforms themselves, thanks partly to the development of self-service BI and data discovery tools and dashboards.

How Business Intelligence systems are implemented?
Here are the steps:-
Step 1) Raw Data from corporate databases is extracted. The data could be spread across multiple systems heterogeneous systems.
Step 2) The data is cleaned and transformed into the data warehouse. The table can be linked, and data cubes are formed.
Step 3) Using BI system the user can ask quires, request ad-hoc reports or conduct any other analysis.

Advantages of Business Intelligence:-
1. Boost productivity
With a BI program, It is possible for businesses to create reports with a single click thus saves lots of time and resources. It also allows employees to be more productive on their tasks.
2. To improve visibility
BI also helps to improve the visibility of these processes and make it possible to identify any areas which need attention.
3. Fix Accountability
Business Intelligence system assigns accountability in the organization as there must be someone who should own accountability and ownership for the organization’s performance against its set goals.
4. It gives a bird’s eye view
Business Intelligence system also helps organizations as decision makers get an overall bird’s eye view through typical BI features like dashboards and scorecards.
5. It streamlines business processes
Business Intelligence takes out all complexity associated with business processes. It also automates analytics by offering predictive analysis, computer modeling, bench marking and other methodologies.
6. It allows for easy analytics.
Business Intelligence software has democratized its usage, allowing even nontechnical or non-analysts users to collect and process data quickly. This also allows putting the power of analytics from the hand’s many people.

Disadvantages of Business Intelligence:-
1. Cost
Business Intelligence can prove costly for small as well as for medium-sized enterprises. The use of such type of system may be expensive for routine business transactions.
2. Complexity
Another drawback of BI is its complexity in implementation of data warehouse. It can be so complex that it can make business techniques rigid to deal with.
3. Limited use
Like all improved technologies, BI was first established keeping in consideration the buying competence of rich firms. Therefore, BI system is yet not affordable for many small and medium size companies.
4. Time Consuming Implementation
It takes almost one and half year for data warehousing system to be completely implemented. Therefore, it is a time-consuming process.


In the present days, Wireless Communication system has become an essential part of various types of Wireless Communication devices, that permits user to communicate even from remote operated areas. There are many devices used for Wireless Communication like mobiles. Cordless telephones, Zigbee wireless technology, GPS, Wi-Fi, satellite television and wireless computer parts. Current wireless phones include 3 and 4G networks, Bluetooth and Wi-Fi technologies.
The term Wireless Communication was introduced in the 19th century and Wireless Communication technology has developed over the subsequent years. It is one of the most important mediums of transmission of information from one device to other devices. In this technology, the information can be transmitted through the air without requiring any cable or wires or other electronic conductors, by using electromagnetic waves like IR, RF, satellite, etc. In the present days, the Wireless Communication technology refers to a variety of Wireless Communication devices and technologies ranging from smart phones to computers, tabs, laptops, Bluetooth Technology, printers. This article gives an overview of Wireless Communication and types of Wireless Communication.

Wireless Communication Based Projects:-
Wireless Communication based projects mainly include different technologies like Bluetooth, GPS, GSM, RFID and Zigbee projects which are listed below.
1.Android Based Smart Phone Used for Induction Motor Control
2.Smart Phone Controlled Traffic Signal Override with Density Sensing System
3. Arduino based Home Automation
4.Phone Controlled Load Management System
5.Robotic Vehicle Movement By Cell Phone
6.Dialed Telephone Number LED Based Display System
7.DTMF based Load Control System
8.Dedicated Message Communication Wireless between Two Computers
9.Wireless Message Communication between Two Computers
10.Android based Remotely Programmable Sequential Load Operation
11.Remotely Controlled Android based Electronic Notice Board
12.Remote Operated Domestic Appliances Control by Android Application
13.Remote Password Operated Security Control by Android Applications
14.Home Automation by Android Application based Remote Control

Advantages of Wireless Communication
Following are the advantages of Wireless Communication:-
1.As wireless frequency penetrates the walls, wireless networks are easy to install anywhere based on choice. This flexibility is one of the great benefits of wireless network where wired cable can not be installed.
2.Wireless networks are easy to install and easy to maintain compare to messy wired counterparts. This will help when network grows and will have hundreds to thousands of customers.
3.Any data or information can be transmitted faster and with a high speed.
4.Maintenance and installation is less cost for these networks.
5.The internet can be accessed from anywhere wirelessly.
6.It is very helpful for workers, doctors working in remote areas as they can be in touch with medical centers.

Disadvantages of Wireless Communication
Following are the disadvantages of Wireless Communication:-
1.Wireless signals can be easily hacked and hence it will hamper privacy. To avoid this, security algorithms (AES, WEP, WAP2) and modulation techniques (FHSS, DSSS) are employed in wireless networks.
2.The earlier wireless networks were slower. Now-a-days wireless LANs with advanced standards such as IEEE 802.11ac and 802.11ad are available which provides same performance as traditional Ethernet based LANs.
3.Wireless networks require careful radio frequency planning at the beginning of the installation.
4.Wireless Communication is subject to interference. There are various receiver techniques and modulation techniques which make wireless system robust against any kind of interference.
5.An unauthorized person can easily capture the wireless signals which spread through the air.
6.It is very important to secure the wireless network so that the information cannot be misused by unauthorized users.

data visualization

Data Visualization is the Graphical Representation of information and data. By using visual elements like charts, graphs, and maps, Data Visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data.In the world of Big Data, Data Visualization tools and technologies are essential to analyze massive amounts of information and make data-driven decisions. Data Visualization is the art of depicting data in a fun and creative way, beyond the possibilities of Excel tables.In a way, it’s like setting figures to music.
Data Visualization is the presentation of data in a pictorial or graphical format. It enables decision makers to see analytics presented visually, so they can grasp difficult concepts or identify new patterns. With interactive Visualization, you can take the concept a step further by using technology to drill down into charts and graphs for more detail, interactively changing what data you see and how it’s processed.
Data Visualization refers to transforming figures and raw data into visual objects: points, bars, line plots, maps, etc. By combining user-friendly and aesthetically-pleasing features, these Visualizations make research and data analysis much quicker, and are also a powerful communication tool.

Why is Data Visualization important?
Because of the way the human brain processes information, using charts or graphs to visualize large amounts of complex data is easier than poring over spreadsheets or reports. Data Visualization is a quick, easy way to convey concepts in a universal manner – and you can experiment with different scenarios by making slight adjustments.
Data Visualization can also:-
1.Identify areas that need attention or improvement.
2.Clarify which factors influence customer behavior.
3.Help you understand which products to place where.
4.Predict sales volumes.

Here are the top four benefits that Data Visualization provides to organizations & decision makers:-
1. Absorb more information easily
Data Visualization enables users to view & understand vast amounts of information regarding operational and business conditions. It allows decision makers to see connections between multi-dimensional data sets and provides new ways to interpret data through heat maps, bullet charts, and other rich Graphical Representations. Businesses that use visual data analytics are more likely to find the information they are looking for and sooner than other companies. A survey by Aberdeen Group found that managers in organizations that use visual data discovery tools are 28 percent more likely to find relevant information compared to those who rely only on managed dashboards & reporting.
2. Discover relationships & patterns between business & operational activities
Data Visualization enables users to effectively see patterns and relations that occur between operations and business performance. It’s easier to see how your day-to-day tasks impact your overall business performance, and find out which operational change triggered the growth/dip in business performance.
Data Visualization allows you to see historical trends in the key performance metrics, like monthly sales, of your business. This allows you to compare the current performance with the past, and forecast the future. You can even break it out by various components that drive the metric, such as the sales by various sources or regions. Further, you can drill down to see their historical trends and contributions.This allows the executives to identify the reason for growth and repeat it, or find the root cause of the dip and fix it.
3. Identify emerging trends faster
The amount of customer & market data that companies are able to gather can provide key insights into new business & revenue opportunities. To avoid getting lost in the mountain of data, it needs to be simplified. That’s where Data Visualization comes in. Data Visualization enables decision makers to spot changes in customer behavior and market conditions more quickly. For example, a supermarket chain can use Data Visualization to see that not only do customers spend more as macro-economic conditions improve, but they increasingly purchase ready-made foods.
4. Directly interact with data
Data Visualization enables you to bring actionable insights to the surface. Unlike tables and charts which can only be viewed, Data Visualization tools enable users to interact with data. For example, a canned report or Excel spreadsheet can inform an executive for an automotive company that sales for its sedans are down for a particular month. However, it won’t inform her why sales of the sedans are down. Using real-time d Data Visualization, the executive can view the latest sales figures and see which models of sedans are under-performing and the reason for drop in sales – discount offered by competitors. The executive can take action to respond quickly. For example, she might launch a 15-day sales promotion for specific dealerships where sales numbers have dipped.

Features Needed in Data Visualization Software:-
Data Visualization can be an effective marketing tool, provided the user uses it properly to get the information they need. Users planning to subscribe to a service should consider looking for the following features:-
1.One useful feature in many visualization software types is the ability to choose different visuals and graphs. Depending on what you feel is best, you can choose between pie charts, bar charts, and line graphs to express the data better. You can even label it according to which type.
2.Every Data Visualization tool should have an accurate trend tracking capability. With this, you can keep tabs on the latest trends in your field. For example, you can see which products are selling each month, and which demographic is buying.
3.Depending on what type of information you need, you might also require a high level of security. The data regarding each audience and trend can help you make better market decisions. But this means you may have people who may be interested in breaking into your account and stealing your data. Without proper security, you could risk losing information that could be crucial to your enterprise.
4.Simplified software interfacing is also important to any user for these systems. Because you are trying to decode and interpret lots of data, it’s pretty easy to get confused. That’s why Data Visualization software should be user-friendly and include easy-to-understand tips or lessons to help you work on the system right away.