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Google Discover curates a personalized feed of content for users based on their interests, search history, location, and activity in other apps.
Native to Android devices, it is currently only available on mobile devices or accessible via the Chrome or Google apps on iOS.
The feeds of articles displayed on Google Discover are entirely customized for each user, making it difficult to monitor the average ranking of a given article.
To add to that, reporting on Google Discover presents many challenges. Right now, there is no dedicated referral source in Google Analytics to see traffic from Discover. Traffic shows up as coming in through a variety of organic, direct, and referral sources.
So how can you optimize content for Google Discover?
In this column, you’ll see what tends to do best on Google Discover, based on our analysis of over 7,200 URLs. You’ll also find takeaways to help with your own optimization strategy.What Makes Google Discover Optimization So Challenging?
Google Search Console has a dedicated Performance report for Discover, which is triggered only if the property receives traffic from Google Discover.
Even so, the criteria for ranking and driving traffic can feel elusive.
SEO tool providers are still trying to figure out how to be able to collect data and share meaningful Discover insights due to the limitations of collecting data.
Furthermore, while Google has published several documents related to ranking in Google Discover, the lack of publicly available performance data coupled with the highly personalized nature of content within Google Discover can make it hard for SEO professionals to try to reverse-engineer what it takes to rank well there.A Word of Gratitude to Other SEOs Also Obsessed with Google Discover
The lack of SEO tools for Google Discover is not due to a lack of trying.
Props to great SEO experts like Valentin Pletzer, John Shehata, and Abby Hamilton, who have been working hard to try to make sense of Discover data!Why SEO Pros Should Care About Google Discover
If you’re like many SEO professionals, you may be thinking Google Discover doesn’t apply to you or the sites you work on.
This is a common line of thinking that usually stems from SEO pros thinking their sites don’t qualify as ‘publisher’ websites and are therefore not eligible.
This thinking may also be tied to how difficult it has historically been to get sites approved to appear in Google News (a separate product from Discover), especially when this process required manual approval by Google before 2023.
If you have these thoughts about Google Discover, think again.
Our team works on dozens of clients, and it is always surprising to see which types of sites and content see success in Discover.
For some sites, Google Discover sends more organic traffic than regular organic results. For this reason alone, Discover shouldn’t be ignored!
Beyond that, Google’s core updates can impact Discover performance. You may not even realize you’ve begun to receive (or lose) traffic from Discover after a core update, unless you’re paying attention to that report in Google Search Console.
Below is an example of a client of ours who started to see signs of life on Google Discover during a recent core update.
Google Discover provides another opportunity to earn organic traffic, but it’s a different animal than regular SEO and should be treated accordingly.
Your Discover SEO strategy should be unique from your regular SEO strategy, and the below insights will indicate why.Methodology and Important Disclaimers
In the below section, I will outline 10 key takeaways I have observed by analyzing 7,274 URLs receiving traffic in Discover from 23 different domains in the following categories (as classified by Similarweb):
Arts and Entertainment.
Home and Garden.
News and Media.
Pets and Animals.
I pulled in Buzzsumo social media and link metrics to cross-reference with article performance to see whether there were correlations between performance on social media and Discover.
In fact, these are some of the very tactics that appear to work best for our clients, as you’ll see below.
With that said, it’s important to preface these findings by saying this analysis was done using a relatively small subset of URLs, and that violating Google’s guidelines in any form always comes with substantial risk.
Also, for the sake of client confidentiality, no actual headlines or URLs will be shared below, but the content will be described in detail.10 Attributes of Ranking Well in Discover 1. Emotionally Charged Headlines
– Get on Discover, Google Search Central
“this heartbreaking moment”
“stuns the world”
“fans call out”
“under this 1 condition”
“violated 1 of the biggest unwritten rules”
“just took this massive step”
“confirms the rumor”
“fans couldn’t handle it”
“will happen and here’s why”
“this 1 piece of jewelry”2. Posing Questions in Headlines (with the Answer in the Content)
While these types of headlines might not pass muster with Google’s SEO algorithms, their enticing nature still appears to resonate with many users in Google Discover, leading to high CTRs.3. Ranking for COVID Content in Discover, but Not Search
Another observation that came from this analysis was that sites were able to receive traffic from Google Discover from articles and topics where they have never seen significant traffic from regular Search.
Google states front and center that E-A-T (expertise authoritativeness, and trustworthiness) is a crucial factor in determining which sites get to rank in Discover.
Even so (and this is pure speculation), there appears to be a discrepancy in how E-A-T may be calculated across Discover and regular Search.
This was particularly true on the topic of COVID-19, where authority appears to be one of the most important factors for ranking in SEO since the onset of the pandemic.
It is clear that almost all of these URLs saw more traffic from Discover than from regular SEO.4. Recency is Good, But Some Evergreen Topics Sustain Discover Performance
One of the most interesting aspects of Google Discover that sets it apart from Google’s more time-sensitive news surfaces such as Top Stories, Google News, and Web Stories, is that Google Discover can sometimes surface content from several years back, even if the content was not edited.
This provides a huge opportunity for sites that aren’t able to consistently publish new content – old content can still appear in Discover if it meets all the other criteria.
To illustrate these, I pulled in the “date modified” among top-performing articles.
For several of these articles, they continue to receive traffic from Google Discover every day.5. Content That Performs Well in Discover May Not Perform Well in Search (and Vice Versa)
It is important to remember that Google Discover and Google Search use entirely different ranking criteria and the strategy used to rank in either feature should be customized accordingly.
In recent years, with the rise of E-A-T in SEO, it has become more important than ever to ensure content demonstrates the highest possible levels of quality. It’s essential to meet the following criteria laid out in Google’s core update guidelines:
“Does the content present information in a way that makes you want to trust it, such as clear sourcing, evidence of the expertise involved, background about the author or the site that publishes it, such as through links to an author page or a site’s About page?
Would you feel comfortable trusting this content for issues relating to your money or your life?
Is the content free from spelling or stylistic issues?
Does the headline and/or page title avoid being exaggerating or shocking in nature?”
(… and many more questions where these came from.)
However, this criteria appears to be measured somewhat differently for content that performs well in Google Discover.
Perhaps this is due to the unique behaviors of Discover users and the desire to read fun or lighthearted content in their feeds that is not as focused on E-A-T.
In many ways, Discover behaves more like a social media platform than a search engine.6. Consistent with the Users’ Beliefs or Political Views
Another obvious observation from this analysis is that some of the top-performing content in Google Discover tends to feed into the existing political or social beliefs of its readers.
For example, articles that may promote outrage or adoration about the behaviors of political figures, celebrities, or the royal family.7. Discover Topics Can Work Better Than Search When the User Didn’t Know They Were Looking for It
Google Discover is unique from SEO in the sense that SEO only works if and when the user is searching for that topic.
Much like the content displayed on social media platforms like Facebook, Twitter, and Instagram, Google Discover content is often successful even when the user didn’t realize they were looking for it.
For this reason, traditional SEO keyword research methods that work for SEO may not work for Google Discover.
Focusing on topics that actually resonate with the site’s target audience and appeal to their emotions may result in stronger Discover performance.
For example, pet content that tells the personal stories of pets that recovered from obscure illnesses might not present a lot of search volume or potential in Google Search. But we observed that that type of content performs best in Discover for some of our pet clients.8. Death, Marriage, Divorce
Topics that tend to generate emotion, controversy, and/or empathy do very well in Google Discover.
Deaths, marriages, divorces, interpersonal drama, and gossip are just some examples of this.
Emotionally charged content significantly outperforms all other content in our analysis.9. Celebrity Gossip
Celebrity gossip as a category receives the lion’s share of Discover traffic in our analysis. This is an interesting trend to consider, especially in light of the organic traffic and visibility declines that many of these types of sites have seen in Google Search, News, and Top Stories in recent years.
— Lily Ray 😏 (@lilyraynyc) February 25, 202310. Listicles (Numbers in Headlines)
The feasibility of “listicles” as an SEO strategy tends to be a controversial topic among the SEO community.
Even so, listicle content performs well in our Discover research. Some of the articles that have seen evergreen traffic from Discover in the past 16 months follow this format.
Headlines include phrases such as:
15 reasons why…
10 things you should buy…
10 cars that…
These 5 things…Takeaway From Our Google Discover Analysis
The most important takeaway from this analysis is to realize that Google Discover should form part of your SEO strategy.
The tactics required to perform well in Google Discover may be entirely different from that of your regular SEO content strategy.
Performing well in Google Discover will likely stem from a content strategy mimicking that used on other social platforms, rather than a keyword-research-driven, E-A-T focused SEO strategy.
Tactics that once worked well on Google but are no longer as effective may still work well on Google Discover, despite the suggestions laid out in Google’s own documentation.
All screenshots taken by author, July 2023
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Definition of Profit Center
Download Corporate Valuation, Investment Banking, Accounting, CFA Calculator & othersExplanation
There are many divisions in any entity, while some divisions act as a support system for others such as accounting, others such as thesales department is capable of earning revenues through their activities. Based on the fact whether a department is capable of generating revenues through its activities, a department can be classified as a profit center or a cost center.
A department is said to be a profit center if its activities lead to the generation of revenue for the entity by the usage of resources of the company. On the other hand, a department or a division is said to be a cost center if it doesn’t contribute to the revenue of the entity.Purpose of Profit Center
After identifying profitable and low-profit units in the organization accountants or management decides the allocation of resources and it lays down its future strategy to increase the revenue of theleast profitable unit. Also, management decides ceasing of certain activities altogether based on profitability and other factors.Characteristics of Profit Center
The Profit center is treated as a separate unit or reporting segment in the organization.
As a separate reporting segment, it has its own accounting and calculation of profit and losses.
They are responsible for revenue generation in the organization.
They help in management decision making regarding fund allocation and devising of strategies.How Does It Work?
The management is responsible for managing a profit center and they do have decision- making authority regarding their management. This work involves a lot of pressure as management needs to ensure that sales of products and services are always more than the cost. They make sure that the unit is profitable in each period either by increasing the revenue or optimizing expenses and sometimes using both the techniques simultaneously.
As mentioned earlier as well, the identification of profit centers is done basically to determine which divisions are most profitable in an organization which helps in root cause analysis behind the least profitable unit, funding allocation, and cutting out some activities forever.Example of Profit Center
Let us take an example of a departmental store wherein different products can be categorized into different sub-units and thus different profit centers. Let us say the store had the following units:
Seasonal goods like gardening kits or festivity related goods
Therefore, the store can create profit centers for each unit separately, excluding the accounting unit, which will help the management in determining the contribution of each profit center to the revenue at the end of the period. The accounting unit is a cost center and not a profit center since it doesn’t generate revenues for the store.Types of Profit Center
As a Department Within the Organization: These are profit centers that are small departments in the organization like sales division, investment division, etc.
As a Strategic Unit in a Big Organization: In a big organization with different sub-areas, profit centers serve as different strategic units and are used for segmental reporting purposes. For example, in bank different products like retail banking, wealth management, loans, and mortgages can be reported as separate units and are identified with different profit centers group.Uses of Profit Center
Profit centers help in determining profits or losses as a separate unit of the organization.
They help in a further analysis like calculation of different financial ratios like return on investment, profitability ratios of the particular unit.
They facilitate management decision making regarding funding allocation, devising strategy for low-performing units, etc.
They help in determining the variances between the budgeted and actual cost thus help in budgetary control.Advantages
Advantages of the profit centers are as follows:
The profit center helps in devising strategies for low performing units by allocating resources, increasing or increasing revenues.
Profit centers reduce the burden of an organization by categorizing the units in most profitable, least profitable, and cost centers.
They help in segmental reporting wherever it is required and also helps in understanding the strengths and weaknesses of the particular unit.
The process of the fund and other resources allocation and indirect cost to profit centers is very complex and not highly accurate.
Sometimes decisions taken based on the performance of one profit center or unit may not be in the best interest of the organization as a whole.
It encourages unhealthy cross-unit rivalry or competition within the organization.Conclusion
Profit center helps in the creation of a framework in the organization which helps in fair resources and funding allocation and increase profitability. But when an organization is looking out for converting its business units into profit centers, it should be careful while allotting the upper management, because if management is right the profitability of a unit will increase for sure.Recommended Articles
Search engine optimization is a process that aims to improve the visibility of a website in Google search results for certain keywords or phrases. It can help boost site traffic and provide a convenient way for consumers to find a product or service. Most people prefer the first 10 results that appear on a search engine, as these are the ones that are well-written and thoroughly optimized. There are various types of SEO that help improve a website’s position in search results.
SEO is an evolving process that Google updates regularly. It’s important that your strategy stays up-to-date to keep up with the changes in the algorithm. Here, are the top 10 types of SEO that can be useful, so let’s learn about them.What is SEO?
Search engine optimization is a set of techniques that are used to improve the appearance of web pages in search results. It is very important for businesses to improve their online presence, as it is the most effective way to attract and retain potential customers.Top 10 Types of SEO for 2023
Here are some main types of search engine optimization that one should know −White-Hat SEO
When someone says “white-hat SEO,” they mean that their approach to search engine optimization is in line with the guidelines and terms of major search engines, such as Google. This strategy can help boost your website’s ranking on search results pages while protecting its integrity.Black-Hat SEO
Black-hat SEO is a technique that targets weaknesses in Google’s algorithm in order to rank higher in search results. It involves various strategies such as keyword stuffing, spamming, and link building. Although these techniques give you instant results, they can negatively affect your website if detected by Google.Gray-Hat SEO
A gray hat SEO strategy combines the methods that follow Google’s guidelines with those that violate them. These include buying links and creating quality content. Although gray hat SEO is becoming more prevalent in certain niches, it should be noted that it is still risky and could lead to your site getting penalized by Google. In the long run, you should avoid these techniques if you want to build a website that will last for a long time.Image SEO
A process known as image SEO optimisation involves improving the quality of a website’s images by adding descriptive text and alt tags. It aims to boost search engine visibility and improve the user experience.Metadata SEO
Optimizing the metadata of a page is a process that aims to improve its relevance and visibility in search results pages. It involves modifying the HTML tags, meta descriptions, and title tags to make them more descriptive and understandable.Internal Linking for SEO
Internal links are web links that go from one part of your website to another. Your users and search engines rely on these to find your site’s content. It helps search engines identify the site’s content and hierarchy. It is basically a process that links multiple pages within a website.Guest Blogging Technical SEO
Technical SEO is a process that involves making websites easier to crawl and index by performing various optimizations. These include setting up redirects, optimizing the site’s load time, and ensuring that the chúng tôi files are correctly configured. The goal of this process is to make websites more user-friendly and accessible.International SEO
By utilizing international SEO techniques, your website’s traffic will be boosted by visitors from different linguistic and cultural backgrounds. You must cater to your target audience’s cultural needs and allow them to conduct business in their local language and currency. You should also converse with them in their native tongue if they have any issues.Local SEO
One of the most important factors that businesses consider when it comes to SEO is their ability to become more visible in local search results. This process helps them analyse the behaviour of their target audience and reach them in a way that’s most relevant to them. Having a well-designed and effective local SEO strategy can help them rank higher in search results and on the map pack.What are the Best SEO Practices?
The foundation of successful SEO is keyword research. High rankings are often linked to higher traffic to a website. They also help develop a website’s content strategy and architecture. Before you start generating organic traffic, it’s important that you thoroughly research the various keywords that will help boost your website’s traffic. Doing so will allow you to avoid falling behind in the search engine results.
Every marketer dreams of having their websites rank highly on search engines. However, it takes a lot of effort to achieve this. One of the most important factors that you can consider when it comes to improving your website’s ranking is targeting the right audience and keywords.
There are many factors to consider when it comes to SEO, such as how well your pages rank and which keywords work best. With the help of SEO tools, you can easily make informed decisions and reduce the amount of time that you spend analyzing and implementing strategies.
If you are doing both off-page and on-page SEO, then you will need to use some of the best tools to improve your efficiency and gain a competitive edge. Among these are keyword research tools, as well as tools for analyzing and monitoring backlinks. There are also plenty of tools that can help you track how pages and keywords are performing.Conclusion
People who use bad SEO techniques can get themselves into legal trouble. These include breaking into a website and creating a large number of links that are not good for the site’s quality. They can also post negative reviews about it on various online forums and discussion boards. One should never use SEO techniques that are against the law. It is important to learn how to perform SEO correctly so that you can avoid getting yourself into trouble.
Python is a versatile and powerful programming language that has changed the face of software development with its ease of use, readability, and rich library support. Python has gained popularity amongst programmers and developers due to applications in various sectors. In this article, we will list the top ten real-world uses of Python, followed by practical Python examples, and emphasize the benefits of learning Python.Why Learn Python?
Here are some top reasons to learn Python:Easy to Learn and Use
Python is a fantastic choice for novices since it is straightforward to learn and use and has a readable syntax. Developers may write clear and concise code since the language strongly emphasizes code readability. Simplicity helps programmers learn the basics of programming faster and with lesser difficulties.Versatility and Flexibility
You can build a bundle of applications using python. Python has the tools and modules to enable these activities, whether you want to build desktop programs, analyze data, build machine learning models, or develop online applications. Developers can switch between other domains because of its versatility.Extensive Library Support
Python libraries provide pre-written modules and functions that facilitate development by simplifying challenging tasks. For example, Django and Flask help in web development, and TensorFlow and PyTorch support machine learning. Due to its extensive library support, developers can fix specific issues while saving time using pre-existing code.
Also Read: Top 10 Python Libraries that you must Know!Strong Community Support
The developer community for Python is strong and encouraging globally. By developing libraries, frameworks, and tools for the language as well as thorough documentation and tutorials, the community actively contributes to its development. Thanks to this vibrant community, Python has new trends and best practices. Community forums and discussion boards additionally give developers a venue for asking for assistance, exchanging knowledge, and working together on projects.Increased Productivity
Developers may write code more quickly and effectively using Python because of its simplicity and wide-ranging library support. Programmers may create modular, maintainable code because of Python’s emphasis on code reuse. Developers might avoid spinning the wheel by utilizing pre-existing frameworks and libraries to concentrate on solving particular issues. Because of its higher productivity, Python is a desirable option for both small- and large-scale applications.Broad Industry Adoption
The uses of Python have grown significantly across numerous industries. Large and small businesses, academic and research institutions, and major organizations utilize it. As a result of this widespread industry acceptance, Python engineers have many work options in web development, artificial intelligence, data science, or software development.Cross-Platform Compatibility
Windows, macOS, and Linux– it can be used on various operating systems. Python’s cross-platform flexibility is quite helpful in software development and web configuration, where reaching a large user base is essential. Moreover, due to its portability, the programmers must write the code just once.
Check out our article on how much time it take to learn Python!Top Uses of Python in the Real World
Python being a versatile programming language that offers a range of benefits to the real world. Here are top 10 uses of python:
Artificial Intelligence and Machine Learning
Web Scraping Applications
Operating SystemsWeb Development
Owing to its ease of use and solid frameworks such as Django and Flask and Python’s simple syntax and extensive library, developers prefer the language to design scalable and dependable web applications. They employ uses of Python to leverage its adaptability for backend logic, database integration, and server-side scripting.
Example: One of the world’s most popular social media platforms’ Instagram‘, relies heavily on Python for its backend infrastructure.Data Science
Python evolved as one of the most favored languages for data scientists and analysts because of its wealth of libraries such as NumPy, Pandas, and Matplotlib. These libraries help with a wide range of data processing, visualization, analysis, and machine learning applications. Moreover, Python is suitable for dealing with large datasets and sophisticated data processing operations.
Example: Netflix, a leading streaming platform, utilizes Python for data analysis and recommendation systems.Artificial Intelligence and Machine Learning
Python’s flexibility and extensive support for machine learning frameworks such as TensorFlow, Keras, and Scikit-learn have made it a popular language for AI and ML applications. It allows programmers to build intelligent systems, train sophisticated models, and apply these models in real-world applications. Python is a potent tool in AI and ML; its uses of Python pre-trained models are readily available and have strong community support.
Example: Google’s DeepMind, known for its breakthroughs in artificial intelligence, heavily relies on Python for research and development.Enterprise Applications
Building enterprise-level applications is a good fit for Python because of its simplicity and scalability. Its frameworks, such as pyramid and bottle, offer strong tools and components for the creation of effective software systems. Uses of Python’s wide library support has been beneficial for programmers who may communicate with databases, integrate complicated functionality, and manage security issues in corporate applications.
Source: Space Technologies
Example: Dropbox, a cloud storage and file sharing platform, leverages Python in its backend infrastructure.Education Sector
Python is the perfect language for teaching programming to pupils because it is user-friendly for beginners. The readability, clarity, and substantial library support make it simple for pupils to understand basic ideas. Python is a popular choice for educational applications because its visual and interactive capabilities allow students to learn programming while working on engaging projects.
Example: The Raspberry Pi Foundation promotes Python as the primary language for their educational single-board computers, encouraging students to explore coding and electronics.Web Scraping Applications
Python is a great option for web scraping activities because of its strong packages, such as BeautifulSoup and Scrapy. Python allows developers to automate data collection procedures, obtain insights for numerous applications, and extract useful data from websites.
Example: Price comparison websites often employ Python for web scraping to gather product information from multiple online retailers.Game Development
Python is not typically associated with game development due to performance constraints. However, it is frequently used for prototyping, scripting, and building game logic. Python’s simplicity and libraries like Pygame make it an attractive option for developing 2D games and educational simulations.
Example: Eve Online, a popular massively multiplayer online game, employs different uses of Python for various in-game activities and server management.Software Development
Python’s versatility extends beyond web development to general-purpose software development. Its readable syntax and extensive library support enable developers to create efficient and scalable software applications in less time. Python’s frameworks, like PyQT and Tkinter, facilitate the development of cross-platform desktop applications with rich graphical user interfaces (GUI).
Example: Blender, a renowned 3D computer graphics software, relies on Python for scripting and automation.Desktop GUI
Given its simplicity and cross-platform compatibility, Python is extensively used for designing desktop graphical user interfaces (GUI). Developers can effectively construct easy and visually appealing desktop apps for Windows, macOS, and Linux using frameworks such as PyQT and Tkinter.
Example: The music streaming application, Spotify, utilizes Python for building its desktop client, which provides a seamless user experience.Operating Systems
Although uses of Python are not commonly employed to build complete operating systems, it is often employed for system administration tasks. Python’s ease of use and powerful libraries, such as Fabric and Paramiko, simplify automation, configuration management, and network scripting.
Example: The popular Linux distribution, Ubuntu, relies on Python for various system administration and configuration tasks.Conclusion
Python has proven to be an incredibly versatile and powerful programming language with a wide range of real-life applications. Its simplicity, readability, and vast ecosystem of libraries and frameworks make it a go-to choice for various industries and domains.
From web development to data analysis, machine learning to automation, python has become an indispensable tool for solving complex problems efficiently and effectively. Its user-friendly syntax and extensive community support have contributed to its widespread adoption and continuous growth.
You can start learning python with our free course on Introduction to Python !Frequently Asked Questions
Q1. How is Python used in real life?
A. Python is used in a variety of jobs, such as data analysis, game creation, web development, and more, because of its versatility.
Q2. What are the three benefits of Python?
A. Python has three benefits: it’s easy to learn, flexible for a wide range of applications, and it offers a tonne of libraries that simplify development tasks.
Q3. Why is learning Python useful?
A. Python is extensively used in the business, has a big support community, and offers a wide range of libraries and frameworks for different applications; thus, learning it is beneficial.
Q4. Is Java better than Python?
A. Python and Java have different uses. Python is renowned for its simplicity, readability, and versatility, while Java is frequently employed for complex enterprise systems. The decision is based on the project’s particular specifications.
In the domain of cryptocurrencies, the term “crypto” denotes the complicated cryptography that permits the creation and processing of digital currencies, and also their transactions through decentralized networks. Although this essential aspect of the sector has come under assault as it has grown in popularity, cryptocurrencies are nearly always meant to be impervious to government exploitation and regulation. In this post, you will learn about the top 10 cryptocurrencies which are worth it for long-term investments. Best Cryptocurrencies for Long-term InvestmentBitcoin- BTC
Bitcoin (BTC) is a cryptocurrency that was established in 2008 by Satoshi Nakamoto, an unknown individual or group of individuals. Bitcoin is a decentralized digital money that may be transmitted directly from one user to another on the peer-to-peer bitcoin network. Cryptography is used by network nodes to validate transactions, which are subsequently recorded in a blockchain, a public distributed ledger. Regardless of whether its price increases or decreases, bitcoin will remain dominant in the cryptocurrency market. Strong liquidity will benefit traders as long as it persists, regardless of market volatility.Ethereum- ETH
Ethereum is a decentralised digital platform that enables the creation and execution of Smart Contracts and DApps without any need for third-party downtime, fraud, control, or interference. Ethereum is a permissionless, non-hierarchical collection of servers (nodes) that produce and reach consensus on an ever-growing network of “blocks,” or bunches of transactions, known as the blockchain.Tether- USDT
Tether, formerly known as Realcoin, was among the first cryptocurrencies to be linked to the US dollar when it was established in 2014. Tether is a cryptocurrency whose crypto tokens are insured by an equal number of traditional fiat currencies kept in a separate bank account, such as the dollar, pound, or Japanese yen. Tether is a stablecoin, a form of cryptocurrency that aims to keep cryptocurrency prices consistent, as opposed to the large price swings seen in other prominent cryptocurrencies like Bitcoin and Ethereum.Ripple- XRP
Ripple was originally introduced in 2012 as a cryptocurrency and a digital payment system for financial transactions. XRP was established by Ripple Labs as a payment currency for their decentralized payment system. Because the firm originated with a blockchain-based system, XRP is utilised with a network of verification nodes instead of a blockchain. Ripple XRP has a market value of $26,8 B as of April 2nd, and oneXRP is currently trading for $0.5926.Uniswap- UNI
The Uniswap protocol is a decentralized crypto exchange mechanism. Uniswap is the name of the business that invented the protocol. The protocol enables for automatic transactions between cryptocurrency tokens on the Ethereum blockchain by the use of smart contracts. It has a market value of $15.2 B as of April 2nd, and one UNI is worth $29.21.Dogecoin- DOGE
Dogecoin is a cryptocurrency that was created as a joke by software developers Billy Markus and Jackson Palmer to mock the booming cryptocurrency market at the time. On May 9, 2023, SpaceX launched the first cryptocurrency-funded space mission, a Dogecoin-funded ridesharing flight to the Moon.Cardano- ADA
Cardano is a cryptocurrency system and open-sourced project aiming to build an open public blockchain for payment systems. Cardano’s internal coin is called Ada. Charles Hoskinson, one of Ethereum’s five original founders, was a co-founder of the company. He departed Ethereum after significant disputes with its direction, subsequently assisting in the creation of Cardano.Polkadot (DOT)
Polkadot is a one-of-a-kind cryptocurrency that aims to make blockchain interoperability accessible to the general public. Its protocol connects permissioned and permissionless blockchains, and also oracles, enabling systems to communicate in a single environment. Gavin Wood is a co-founder and former CEO of the Ethereum Project. As of March 2023, Polkadot is valued at $30.3 billion, and one DOT is worth $32.83. Polkadot is a decentralized internet that allows different blockchains to share data and information in a trustless manner via the Polkadot relay chain.Binance Coin: BNB
BNB is an ERC20 token based on Ethereum that was developed by Binance, a major cryptocurrency exchange. This currency can be used to pay a commission for purchases on the exchange. A total of 200 million tokens were manufactured for the currency. As per the Whitepaper, Binance plans to use 20% of earnings each quarter to purchase back and burn BNB until 50% of the total BNB supply (100 M) has been burned.Bitcoin Cash- BCH
BCH is a cryptocurrency that was created in 2023 as a fork of Bitcoin. Bitcoin Cash was created with the intention of having a bigger block size than Bitcoin, enabling for more transactions to be recorded in a single block. Aside from their differences, Bitcoin Cash and Bitcoin have certain technological similarities, such as the usage of the same consensus process and a 21 million coin supply cap. As of April 2, it has a market capitalization of $10.8 billion, and 1 Bitcoin Cash is worth $575.17.Conclusion
In the domain of cryptocurrencies, the term “crypto” denotes the complicated cryptography that permits the creation and processing of digital currencies, and also their transactions through decentralized networks. Although this essential aspect of the sector has come under assault as it has grown in popularity, cryptocurrencies are nearly always meant to be impervious to government exploitation and regulation. In this post, you will learn about the top 10 cryptocurrencies which are worth it for long-term investments.Bitcoin (BTC) is a cryptocurrency that was established in 2008 by Satoshi Nakamoto, an unknown individual or group of individuals. Bitcoin is a decentralized digital money that may be transmitted directly from one user to another on the peer-to-peer bitcoin network. Cryptography is used by network nodes to validate transactions, which are subsequently recorded in a blockchain, a public distributed ledger. Regardless of whether its price increases or decreases, bitcoin will remain dominant in the cryptocurrency market. Strong liquidity will benefit traders as long as it persists, regardless of market volatility.Ethereum is a decentralised digital platform that enables the creation and execution of Smart Contracts and DApps without any need for third-party downtime, fraud, control, or interference. Ethereum is a permissionless, non-hierarchical collection of servers (nodes) that produce and reach consensus on an ever-growing network of “blocks,” or bunches of transactions, known as the blockchain.Tether, formerly known as Realcoin, was among the first cryptocurrencies to be linked to the US dollar when it was established in 2014. Tether is a cryptocurrency whose crypto tokens are insured by an equal number of traditional fiat currencies kept in a separate bank account, such as the dollar, pound, or Japanese yen. Tether is a stablecoin, a form of cryptocurrency that aims to keep cryptocurrency prices consistent, as opposed to the large price swings seen in other prominent cryptocurrencies like Bitcoin and Ethereum.Ripple was originally introduced in 2012 as a cryptocurrency and a digital payment system for financial transactions. XRP was established by Ripple Labs as a payment currency for their decentralized payment system. Because the firm originated with a blockchain-based system, XRP is utilised with a network of verification nodes instead of a blockchain. Ripple XRP has a market value of $26,8 B as of April 2nd, and oneXRP is currently trading for $0.5926.The Uniswap protocol is a decentralized crypto exchange mechanism. Uniswap is the name of the business that invented the protocol. The protocol enables for automatic transactions between cryptocurrency tokens on the Ethereum blockchain by the use of smart contracts. It has a market value of $15.2 B as of April 2nd, and one UNI is worth $29.21.Dogecoin is a cryptocurrency that was created as a joke by software developers Billy Markus and Jackson Palmer to mock the booming cryptocurrency market at the time. On May 9, 2023, SpaceX launched the first cryptocurrency-funded space mission, a Dogecoin-funded ridesharing flight to the Moon.Cardano is a cryptocurrency system and open-sourced project aiming to build an open public blockchain for payment systems. Cardano’s internal coin is called Ada. Charles Hoskinson, one of Ethereum’s five original founders, was a co-founder of the company. He departed Ethereum after significant disputes with its direction, subsequently assisting in the creation of Cardano.Polkadot is a one-of-a-kind cryptocurrency that aims to make blockchain interoperability accessible to the general public. Its protocol connects permissioned and permissionless blockchains, and also oracles, enabling systems to communicate in a single environment. Gavin Wood is a co-founder and former CEO of the Ethereum Project. As of March 2023, Polkadot is valued at $30.3 billion, and one DOT is worth $32.83. Polkadot is a decentralized internet that allows different blockchains to share data and information in a trustless manner via the Polkadot relay chúng tôi is an ERC20 token based on Ethereum that was developed by Binance, a major cryptocurrency exchange. This currency can be used to pay a commission for purchases on the exchange. A total of 200 million tokens were manufactured for the currency. As per the Whitepaper, Binance plans to use 20% of earnings each quarter to purchase back and burn BNB until 50% of the total BNB supply (100 M) has been chúng tôi is a cryptocurrency that was created in 2023 as a fork of Bitcoin. Bitcoin Cash was created with the intention of having a bigger block size than Bitcoin, enabling for more transactions to be recorded in a single block. Aside from their differences, Bitcoin Cash and Bitcoin have certain technological similarities, such as the usage of the same consensus process and a 21 million coin supply cap. As of April 2, it has a market capitalization of $10.8 billion, and 1 Bitcoin Cash is worth $575.17.Cryptocurrency is no longer considered a speculative investment. Digital assets are being taken seriously by both retail and institutional investors. With so much buzz surrounding the digital currency, investors are seeing it as a viable option for both short-term profit and long-term investment. The rise of cryptocurrencies necessitates extreme care while investing in them. Before investing in crypto, investors must properly assess its potential. Its amazing popularity, market domination, and ongoing relevance in the cryptocurrency ecosystem cannot be denied.
In this tutorial you will learn aboutCharacteristics Settings – Display Name:
By default, when a characteristic is added to the query, it displays the description specified in SAP BW. It is possible to replace this with customized text as follows.
Select the General tab
Enter DescriptionCharacteristics Settings – Display Properties:
Select the Display tab of the properties window of the selected characteristic.
The “Display as” option is used to display either only the Key or only Text or both Key & Text.
If a characteristic has 2 or more of Short / Medium / Long Text populated, “Text View” is used to display corresponding text.
It is possible to sort data ascending / descending either by the characteristic or any of its attributes.
The “Result Rows” option is used to show or hide sub-total for underlying characteristic.Characteristics Settings – Display Records:
The display option is used to define what data is viewed by user during data selection (in filters) and after report execution.
Select the Advanced tab of the properties window of the selected characteristic.
Access Type for Result Values. Choose one of these values.
“Posted values” is used to show only records that have got some transactions associated with them
“Master Data” displays all master data records irrespective of whether a transaction exists for them or not. It is ineffective if used with zero suppression.
Filter Value Selection. Choose one of these values.
Only Values in InfoProvider: The system displays only values contained in the InfoProvider.
Values in Master Data Table: It is faster, but may result in zero records matching selection criteria.Key Figure Settings – Display Name:
By default, when a Key Figure is added to the query, it displays the description specified in SAP BW. It is possible to replace this with customized text as follows.
Select the General tab
Enter DescriptionKey Figure Settings – Display Properties:
Select the Display tab of the properties window of the selected Key Figure.
The options “Always Show” and “Always Hide” are self explanatory.
Hide (Can be Shown) option is used to keep a key figure hidden in default output of the report. However, the user can later display this field by using filters.
Number of Decimals places can be used to restrict the decimal places displayed in report.
Scaling factor is used to show data in thousands / hundreds / etc.
The sign of key figures can be reversed if required. e.g. Sales Quantity is negative movement from Inventory perspective, but positive from sales perspective and we can reverse sign based on user.Key Figure Settings – Currency Or Unit Conversion:
BW does not allow cumulating amount in different units e.g. one rupee to one dollar or one kilogram to one yard. When data exists in multiple currencies / unit, all records must be converted to single currency / unit using Currency Translation / Unit Conversion. The translation can be dynamic (by using selection screen variable) or static (with target currency / unit hardcoded in adjacent screens). Advantage of doing this in SAP BW is that it directly imports the conversion factors available in SAP ERP to SAP BW.
Select the Conversions tab.
For currency translation, this option can be used.
For unit conversion, this option can be used.Key Figure Settings – Aggregation:
Query Designer gives the flexibility of calculating aggregates as average, summation, minimum,
etc. Similar calculations can also be performed on row-level data.
Select the Calculations tab.
Select from the Different options available under the drop-down of “Calculate Results As”.Key Figures – Local Formula:
BW, allows use of formulae, on data coming from InfoProvider, to provide calculated values to user.
e.g. Subtracting Cost from Revenue to calculate ProfitSteps to create Formula:
Some of the common operators used in BW include:
Addition, Subtraction, Multiplication and Division
NODIM is used to display key figures without their corresponding unit
NOERR is used to display zero instead of error message (e.g. zero instead of mentioning that division by zero error)
%GT is used to show the value of key figure as a percentage of total value
In the “Detail View” box, enter the formula
Use the operators from the “Operators” box.Key Figures – Calculated Key Figure:
If same calculation is required for multiple reports, it can be mapped to the InfoProvider instead of creating it individually in each query. Such key figure is called “Calculated Key Figure” or CKF.
Steps to create a Calculated Key Figure:
Navigate to the Infoprovider section
Choose the option “New Calculated Key Figure”.Key Figures – Restricted Key Figure:
Restricted Key Figures (RKF) can be used to selectively apply filters only to a specific KPI in the report, but not to the entire report e.g. split sales into columns like YTD (Year To Date) Sales, PYTD (Previous Year To Date) Sales, etc.
Navigate to the Infoprovider section
Choose the option “New Restricted Key Figure”.
In the subsequent screen, at least one key figure and one characteristic must be entered to make a meaningful RKF.
Key Figure which is to be restricted.
The characteristic may be restricted by a selection screen variable to make it “Dynamic” RKF.
It may also be restricted by a constant e.g. year = 2008. In the below screen shot, version is restricted with constant value “1”.
Like CKF, RKFs are also global to the InfoProvider and can be reused in multiple queries using the same InfoProvider.
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