What Is Digital Real Estate? Five Things You Need To Know

When you search in “What is digital real estate” into google, you’re likely going to find guides to obtaining older versions of digital real estate such as domain names, websites, and URLs’.

And this wouldn’t be wrong, as these are still types of digital property that can be bought and sold for a profit. But, in this article, we’re going to chat more about Web3 digital real estate like the Metaverse and protocols like Parcl.

‍This article is mainly for beginners in this space, but feel free to check out our “What is Parcl” article if you want to learn more about our protocol. So, let’s dive into five things you need to know about digital real estate.

‍What is Digital Real Estate?

‍Let’s start with the basics; what actually is digital real estate? Digital real estate can include the ownership of a URL, website, domain name, social media account, and now virtual property in the Metaverse. ‍‍

The buying and selling of which can be highly profitable if you know what you’re doing. Since we’re a Web3 protocol, we’ll focus mainly on the Metaverse and how you can gain exposure to real-world real estate through the use of digital real estate investing.‍

So, what can you actually do with the land in the Metaverse? The main thing you can currently do is buy and sell the virtual property, but on some larger metaverse projects like Decentraland and Sandbox, you can design your own events and play with other users.‍

By designing your own events and games, you can easily monetize this too. You’ll also have the ability to rent out your land to other people if buying outright is too expensive. Currently, the Metaverse is becoming more popular, with large organizations and businesses buying land to advertise their products in both the physical and digital worlds.‍

But, Web3 digital real estate isn’t just the Metaverse.

Is The Metaverse Digital Real Estate?‍

Yes. The Metaverse is digital real estate, but it’s not the only way to invest in this space. You can also invest in digital real estate via Parcl. Our protocol built on Solana allows the average person the ability to invest in the real estate market using synthetic assets.‍

So, we’ve created something called the Parcl price index, which values real estate across the US under certain parameters, which are then tied with a synthetic asset that follows this price movement. Like a derivative in traditional finance, a synthetic asset follows the underlying asset’s price, allowing you to actively trade the asset without ever owning it. Meaning that if you wanted to hedge against the effects that Covid-19 had on the Manhattan property market, you could go short on that area and profit.‍

Parcl allows you to trade your favorite neighborhoods on a detailed or broad level; it’s totally up to you; the same goes for the investment amount. Many people are priced out of investing in physical real estate, but thanks to Web3 technology, Parcl can offer the average person a way to invest in digital real estate to gain exposure to the physical real estate market.

‍If you want to learn more about how Parcl works and why we’re so passionate about leveling the real estate investing playing field, check out our Intro to Parcl article.

‍Digital Real Estate Investing: Is It Profitable?

‍Of course, digital assets are a growing asset class, and that goes for NFTs and not just virtual real estate. We go into detail about the impact NFTs can have on the real estate industry here. But, in summary, the digital asset class is booming and has made plenty of people multi-millionaires over the past few years.‍

The NFT “Everyday’s – The First 5000 Days” sold at a Christie’s auction for $69 million. Not only that but a 500 square metered plot of Decentraland land sold for $2.43 million, making it one of the largest sales on record. So, it’s safe to say that yes, you can make a huge profit from digital asset trading. ‍Where Can You Buy Digital Real Estate?

‍We’ve just determined that investing in digital assets like real estate is profitable, but where do you buy it from? Firstly, you’ve got to have your own wallet to store your land NFT and buy the assets. Check out our phantom wallet setup guide to see how it’s done.‍

When you’ve got your crypto wallet set up, you now need to just put in a bid for the land, this can be done straight from the metaverse project itself, such as Sandbox or Decentraland, or you could use a third-party platform such as OpenSea or MagicEden.

‍If you’re looking to gain exposure to physical real estate through investing in digital real estate, join our Discord or sign up to our newsletter for any updates on when our testnet launches.‍

Is Digital Land Going To Continue To Grow In Popularity?

‍Yes, and we don’t see this slowing any time soon. With people becoming more interested in gaming and the gamers of the early 2000s growing up and obtaining higher paid jobs, this disposable cash is being spent on digital assets like real estate in the Metaverse, gaming items, and avatars for their digital identities.

But, another thing to remember is that it’s not just for people who game; it’s for those that want to profit from this digital gold rush. As the world moves further into the digital era, we’ll see more people buying digital land, creating digital identities to escape the real world, and spending more on in-world items.‍

Not only will it be filled with gamers, but tech giants and other organizations will also begin buying up more land to advertise to millions of users. The virtual floodgates have opened, and there’s no way to close them.

Source: What Is Digital Real Estate? Five Things You Need To Know

Critics by: Sean Peek

How to profit from digital real estate: After buying or making your website, you need to create content on a consistent schedule to attract visitors to your website and generate traffic. Use Google’s Keyword Planner to brainstorm ideas for your blog using words that people are already searching for.

If you’re too busy to write blog posts and promote your website, hire freelancers to write content on your behalf. You can find freelancers from sites like Upwork at affordable prices. Once you’re generating enough traffic to your website, monetize that traffic to generate revenue from your website. Here are a few ways to make money from your web traffic.

  • Advertising: Sell ad space on your website or use an ad network like AdSense to monetize website traffic. When people click on an ad, you earn money.
  • Affiliate marketing: This involves promoting and selling products created by other businesses. Whenever someone buys a product through your affiliate link, you earn a commission off the sale.
  • Selling products: You can also create and sell your own products, like e-books, online courses and software on your website.
  • Sponsored content: Advertisers will often reach out to you to sponsor blog posts that promote their own brands and products. They will pay you to write about their products on your blog.

Eventually, you may start making a profitable income from your website. Then you can decide whether to sell it for a profit or to continue developing the site to use as an income stream. The choice is yours.

The good news is that you don’t have to open your checkbook or empty your bank account to invest in a website or a blog. The bad news is, unlike when you invest in stock or real estate, you can’t expect the value of your digital real estate to go up over time if you don’t do anything. You have to put in the work to make your website more successful and increase its value. Make sure you’re willing to put in the work before you invest if you want to see a financial return.


Top Marketplaces to Buy Digital Real Estate

Decentraland: This is one of the largest place marketplaces for digital real estate. It allows you to buy and sell land, estates, avatar wearables and other digital goods. The Ethereum network is the foundation for this digital world.

SuperWorld: This company has created a virtual map of Earth. It allows you to buy real-life plots of land, that now exist in the metaverse. For example, you could buy the Taj Mahal, NYC’s 5th avenue or your own home. Someone already purchased The White House for about $354 USD. In total, it has 64.8 billion plots of land for sale.

Somnium Space: Somnium Space describes itself as “a new virtual reality world.” This includes allowing users to buy and sell virtual land.

The Sandbox: A virtual metaverse where players can play, build, own, and monetize their virtual experiences. It boasts NFT collections by Snoop Dogg, Care Bears and Atari.

Upland.me: This platform is still in beta. However, it will be a digital metaverse where users can buy, sell and trade digital real estate.

OpenSea: Currently the largest NFT marketplace. It has a section for virtual land. Here you can buy and sell land parcels, wearables and names from projects like Decentraland, Cryptovoxels, Somnium Space and The Sandbox.

Keep in mind that things happen quickly in the metaverse. New companies are popping up every day with lofty ambitions of creating a new metaverse. As we saw with Meta Platforms, larger corporations are also willing to pivot. If you want to invest in digital real estate, be sure to do a deep dive into all existing marketplaces.

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How Long Will It Take for SEO To Show Results?

“How long does SEO take to yield results?” is one of the most frequently asked queries of SEOs. It is a hot topic in the industry.

Companies want to know when they are going to see the impact of their investment (and rightfully so), but SEO is not like paid media where results can be seen almost as soon as ads are activated. It takes time to see SEO success. But how long?

You should expect to see SEO results within 6-12 months…

SEO should show results in a period of 6 to 12 months. A quantifiable increase in traffic, as well as accompanying leads or conversions, is what we mean by results.

This doesn’t necessarily mean you’ve achieved your goal at this point, but any business investing in SEO should expect to be able to see progress within this time frame.

It is impossible to give a figure that applies to all websites, and the best that an SEO can do is to give a rough estimate based on the analysis of the current performance of a website and the proposed strategy.

There is no escaping the fact that SEO takes time. Google (and other search engines) want to show the best result for any given search query, and it takes time to earn a ranking. You have to gain maximum search visibility.

But with the right strategy in place, 6-12 months is long enough to see the impact of your SEO efforts and justify continued investment in growth.

To help you better understand how long it takes to see SEO success, let’s take a look at the factors that determine this.

History of your website

Whether or not you’re working on a new domain, it’s one of the key factors that influence how long it takes to see SEO results.

A new domain will almost always take longer to show success than an established one since it hasn’t built any authority or gained any backlinks yet. By comparison, an established domain will generally have gained at least some level of authority and will have some backlinks pointing to it.

A new domain should expect to see results within 9-12 months, rather than 6-12.

However, an established domain doesn’t automatically mean you’ll get faster results. You may not see quick results if the domain was previously affected by a penalty, a core algorithm update, or had SEO work that goes against Google’s webmaster guidelines.

The competition

Results can be seen much faster on low competition niches and low competition search queries than on competitive ones.

Trying to rank a website for competitive personal finance keywords (e.g. “credit cards”)? It could take 2 years or more to get featured visibility on page 1.

On the other hand, for narrower local or less competitive keywords, it might be possible to show promising results within 3-6 months.

Keyword difficulty is another factor. This is a percentage from 0 to 100, and the higher the percentage, the harder it would be to rank.

You should expect it to take longer to show results against keywords with a high keyword difficulty percentage. But there is more to competition than just keyword difficulty.

You need to consider how your competitors got to their current position and what they are doing to maintain this visibility. Your strategy and projections should consider what you’re competing against, including the aggressiveness of other people’s strategies.

Your resources

You cannot control the history of a website or the competition. But what you (usually) can control are the resources that are allocated to an SEO project.

It’s important to understand exactly how this plays a role in the time it takes to see results from a campaign. The more resources you can allocate to SEO, the faster you’ll see results.

The most important resource you need is time.

Reasons for lack of SEO success

1. Technical SEO issues

If there are technical SEO issues with a site, they will need to be resolved before you can experience the growth you want to see.

Technical SEO relates to things like:

  • Tracking and indexing
  • Site speed
  • Canonicalization
  • Structured data
  • Duplicate content
  • XML sitemaps
  • and more

Solving problems in some of these areas will have a greater impact than others, but the fact is that any technical problem must be solved. Call Small Biz Web Design Studio to take a look at these glitches, so as to ensure quicker SEO success.

2. Content

You’ve probably heard that content is king, and the fact is that content is still one of the top 3 Google ranking factors. Google’s goal is to return the best results for a given search query, so why would poor content perform well in the SERPs?

It’s important that you make creating great content that matches searcher intent a high priority. But take the time to understand what’s currently ranking and figure out how to create something better. You can learn a lot by studying the content that is already being done.

Low-quality (or even average) content can mean it takes longer to see results, while great content that’s carefully planned and adds something new to a topic can help your site rank faster.

3. Backlinks

Along with content, backlinks are also one of the top 3 ranking factors for Google. These are indicators of trust and popularity and have the ability to improve a website’s ranking.

After all, links are effectively two-way votes of confidence. But you need to understand that there is seldom a shortcut to getting quality backlinks.

It takes time, and it usually entails producing excellent content that others want to link to. And when there is a sizeable link gap with competitors, this can take time to close.

That said, not all links are created equal, and ultimately higher quality links have the ability to drive rankings faster than lower quality links.

4. You gave up too quickly

Ultimately, many people fail when it comes to SEO because they start out good but give up. In other words, they work hard for a few weeks and expect quick results. But when they don’t see immediate changes, they give up altogether.

If this sounds like you, this is probably why you’re not seeing the desired effect. You didn’t follow your strategy long enough.

5. You took optimization too far

When you’re learning about SEO, you’ll recognize the necessity of optimizing your content. But, it’s easy to do too much without realizing it. To put it another way, you might well be optimizing your content more than you need to.

While many people assume this will mean they’ll see better results faster, it can actually have a damaging effect. That is, too much optimization can generate penalties and drop in Google rankings.

6. You didn’t have a strategy

SEO can be complicated. You need to think about it and come up with a strategy that is suitable for your new website. Many people make the mistake of just trying a few different things here and there.

But you have to be consistent and have a strategy to work on. After a while, you can adjust your strategy based on the results you receive.

SEO is not an easy thing. It requires a lot of time, perseverance, and, ultimately, constant work. This is particularly true when you have a new website and have to start from scratch.

Be prepared to wait a while for your efforts to pay off. But, if you create the right SEO through Small Biz Web Design Studio, you will rank higher and gain more traffic.

Author: Kevin Jones


By Kevin Jones

Kevin Jones specializes in the marketing and distribution of web design and development products. He is in Market Development at Small Biz Web Design Studio, a web design & development company in Los Angeles.

Source: How Long Will It Take for SEO To Show Results?


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How To Search Profitable Expired, High Traffic & Dropped Domains With Domain Hunting Tool

Finding and acquiring hidden super profitable domains and quickly selling them to highest bidders. I used dropped and expired domains – domains that already had all of the hard work done for me – To grab VALUABLE domains that can quickly and dramatically surge traffic, Sky-rocket rankings.

PR Rage helps you quickly Find – Flip – Monetize profitable domains with 1-click. Investing in domains can be challenging.. finding the right domains with high value and low price – those hidden gems are everywhere, but not easy to find.

PR Rage does all the heavy lifting for you. It runs all the checks and finds you the most profitable and high-value domains in seconds. You can acquire these for as little as $5 or $10. Next thing you know… these are fetching you a monthly rental income of $250. And before you know it… these domains are now valued at thousands of dollars.

Dominate niches – AND quickly flip these profitable domains for a heck of a lot more than I paid for them. And that’s during a year that’s been hit full of COVID and economic difficulties. The domain market isn’t being affected like other industries. In fact, many businesses are taking their services and products online for the first time – And most businesses are expanding their online activities.

So more people than ever are looking for their perfect domain…With PR Page:

  • You can access PR Rage 2.0 ANYWHERE with an internet connection
  • With more than 10,000 expired domains dropping back onto the market daily – Your profit potential is refreshing every single day.
  • With PR Rage 2.0 – You will be able to find only the highest value domains for the lowest prices – giving you the highest ROI possible! (I’ve bought domains for $10 and sold them for $? Within x? Hours / Days)

    Features of PR Rage 2.0

    • A Complete Beginner-Friendly System:
    • An Intuitive User-Friendly Dashboard
    • The GoDaddy Domain Marketplace At Your Fingertips
    • Build A Reserve List Of Domains
    • Get Detailed Information About Each Domain
    • Before you buy a domain, you can check its value.
    • Powerful Filtering Options
    • Search By Domain Extension
    • Search By Domain Age
    • Search Various Auction Types
    • See The Traffic The Domain Is Getting
    • Find If A Domain Has Backlinks
    • See Related Keywords For Your Domain

Source: http://prragedomains.com

NFT Of The World Wide Web Source Code Sells For $5.4 Million

Tim Berners-Lee, inventor of the internet

On Wednesday, 32 years after English computer scientist Tim Berners-Lee penned “Information Management: A Proposal,” the genesis of the World Wide Web, Sotheby’s auctioned the Web’s original source code for $5.4 million. It was, of course, in the form of a nonfungible token aka an NFT.

The source code for the Web was sold to an anonymous buyer, according to Sotheby’s. There were a total of 51 bids on the NFT.

“NFTs, be they artworks or a digital artifact like this, are the latest playful creations in this realm, and the most appropriate means of ownership that exists, Berners-Lee said in a statement about the auction. “They are the ideal way to package the origins behind the Web.”

Sotheby conducted the auction, titled “This changed everything” from June 23 through June 30 with the bidding starting at $1,000. The British-founded global marketplace for art collectibles has recently added digital collectibles such as NFTs to its offerings. The proceeds from the $5.4 million will go toward initiatives that Tim Berners-Lee supports, including his open source technology Solid.

NFTs are rapidly becoming a way for members of the digital community to create a virtual museum and document historic moments on the internet, whether that was the $4 million sale of the Doge meme NFT or when Twitter CEO Jack Dorsey sold an NFT of his first tweet for $2.9 million or when digital artist Itzel Yard sold an NFT art made from the key of the first Tor Browser, making her the highest-selling female NFT artist.

Gauthier Zuppinger is the co-founder of nonfungible.com, a database that tracks the sales of NFTs and crypto collectibles. He compared the source code to CryptoPunks, one of the first non-fungible tokens on the Ethereum blockchain. Zuppinger says the code’s singularity and its monumental role in the foundation of the digital world contributed to the skyrocketing bidding price for the NFT.

So what exactly does the anonymous buyer receive? It doesn’t receive any unique usage rights because the source code for the web has been public domain since 1991 when CERN released the worldwide web code library.

The NFT itself contains a myriad of technical tid-bits and gemstones in the history of the Web. The four elements include the original time-stamped files containing the code that was written between October,1990, and August, 1991. The 9,555 lines of code written in the Objective-C programming language depicts the application of three inventions made by the physicist-turned-software engineer: HTML (Hypertext Markup Language); HTTP (Hyper Transfer Protocol); and URIs (Uniform Resource Identifiers). The buyer will also receive a letter from Berners-Lee, an animated visualization and a digital poster of the code.

“As people seem to appreciate the autographed versions of books, now we have NFT technology, I thought it could be fun to make an autographed copy of the original code of the first web browser,” Berners-Lee’s statement reads.

Apart from being the man behind the Web, Berners-Lee is also a director of the World Wide Web consortium, which looks over the development of the Web. As the co-founder and chief technology officer of Inrupt, he is honing open source technology called Solid to come closer to his original vision for the Web to be a shared information space for all members of the society.

Dr. Merav Ozair, an expert on cryptocurrencies and blockchain technology and a fintech faculty member at Rutgers Business School, compared the NFT sale of the World Wide Web source code to the historic moment when the founding fathers of the United States of America signed the Declaration of Independence. The only difference is that the code that created the web also changed the way the world functions today.

“This was also a historic moment when he created a code that initiated everything, and this is not something only for the U.S. it’s for the global community, everywhere,” she says.

Ozair says the auction marks the kick off of Web 3.0, a version of the web where cryptocurrencies thrive.

The source code for the web is already public domain. In fact, Berners-Lee fought with CERN officials for it to be that way, says Marc Webber, the curatorial director of the internet history program at the Computer History Museum.

“It’s a little bit paradoxical. You know, you’ve got an NFT on this completely public domain open thing,” says Webber, who has been researching the history of the web since 1995.

The auction has instigated curiosity about web history, Webber says. But the commodification of computer and technology history could make it difficult for museum curators like him to procure such digital artifacts when NFTs offer the owner lump sum pay-offs and a wide audience.

Webber says that Berners-Lee has had multiple opportunities to cash in on his invention but has always chosen not to so that the web remains in the public domain. “I do know that this is not like a simple ploy to get money,” he says.

Follow me on Twitter or LinkedIn.

I write about tech startups and innovation. I am receiving my master’s degree in magazine journalism from the University of Missouri. I’ve previously written and worked for Vox Magazine in Columbia, Missouri and Kauffman Foundation in Kansas City.

Source: NFT Of The World Wide Web Source Code Sells For $5.4 Million



A non-fungible token (NFT) is a unit of data stored on a digital ledger, called a blockchain, that certifies a digital asset to be unique and therefore not interchangeable. NFTs can be used to represent items such as photos, videos, audio, and other types of digital files. Access to any copy of the original file, however, is not restricted to the buyer of the NFT. While copies of these digital items are available for anyone to obtain, NFTs are tracked on blockchains to provide the owner with a proof of ownership that is separate from copyright.

The NFT market value tripled in 2020, reaching more than $250 million. During the first quarter of 2021, NFT sales exceeded $2 billion. A non-fungible token (NFT) is a unit of data stored on a digital ledger, called a blockchain, which can be sold and traded. The NFT can be associated with a particular digital or physical asset (a file or a physical object) and a license to use the asset for a specified purpose. NFTs (and the associated license to use, copy or display the underlying asset) can be traded and sold on digital markets.

NFTs function like cryptographic tokens, but unlike cryptocurrencies such as Bitcoin, are not mutually interchangeable, in other words, not fungible (e.g. one bitcoin is equivalent to any other bitcoin while every NFT may represent a different underlying asset and thus have a different value). NFTs are created when blockchains string records of cryptographic hash, a set of characters identifying a set of data, onto previous records therefore creating a chain of identifiable data blocks.

This cryptographic transaction process ensures the authentication of each digital file by providing a digital signature that is used to track NFT ownership. However, data links that point to details like where the art is stored can die.The speculative market for NFTs has led more investors to trade at greater volumes and rates.The buying surge of NFTs was called an economic bubble by experts, who also compared it to the Dot-com bubble.

By mid-April 2021, demand appeared to have substantially subsided, causing prices to fall significantly; early buyers were reported to have “done supremely well” by Bloomberg Businessweek. An NFT of the source code of the World Wide Web, credited to internet inventor computer scientist Sir Tim Berners-Lee, was auctioned in June 2021 by Sotheby’s in London, and was sold for USD$5.4


How The Power Of Predictive Analytics Can Transform Business

Tableau analytics visual

With the acceleration of digital transformation in business, most CTOs, CIOs, and even middle management or analysts are now asking, “What’s next with data?” and what ongoing role will technology play in both digital and data transformations. Other questions that keep these individuals up at night include:

  • How can people throughout all organizational levels be more empowered to use data and help others make better decisions?
  • What prevents people from more deeply exploring and using data?
  • In what ways can analytics tools and methods help more people use data in the daily routine of business—asking questions, exploring hypotheses, and testing ideas?

With this in mind, plus observations and discussions with many Tableau customers and partners, it seems that today’s circumstances, behaviors, and needs make it the right time for predictive data analytics to help businesses and their people solve problems effectively.

Current realities and barriers to scale smarter decision-making with AI 

With growing, diverse data sets being collected, the analytics use cases to transform data into valuable insights are growing just as fast. Today, a wide range of tools and focused teams specialize in uncovering data insights to inform decision-making, but where organizations struggle is striking the right balance between activating highly technical data experts and business teams with deep domain experience.

Until now, using artificial intelligence (AI), machine learning (ML), and other statistical methods to solve business problems was mostly the domain of data scientists. Many organizations have small data science teams focused on specific, mission-critical, and highly scalable problems, but those teams usually have a long project list to handle.

At the same time though, there are a large number of business decisions that rely on experience, knowledge, and data—and that would greatly benefit from applying more advanced analysis techniques. People with domain knowledge and proximity to the business data could benefit greatly, if they had access to these techniques.

Instead, there’s currently a back-and-forth process of relying on data scientists and ML practitioners to build and deploy custom models—a cycle that lacks agility and the ability to iterate quickly. By the end, the data that the model was trained on could be stale and the process starts again. But organizations depend on business users to make key decisions daily that don’t rise to the priority level of their central data science team.

The opportunity to solve data science challenges

This is where there’s an opportunity to democratize data science capabilities, minimizing the trade-offs between extreme precision and control versus the time to insight—and the ability to take action on these insights. If we can give people tools or enhanced features to better apply predictive analytics techniques to business problems, data scientists can gain time back to focus on more complex problems. With this approach, business leaders can enable more teams to make data-driven decisions while continuing to keep up with the pace of business. Additional benefits gained from democratizing data science in this way include:

  • Reducing data exploration and prep work
  • Empowering analyst experts to deliver data science outputs at lower costs
  • Increasing the likelihood of producing successful models with more exploration of use cases by domain experts
  • Extending, automating, and accelerating analysis for business groups and domain experts
  • Reducing time and costs spent on deploying and integrating models
  • Promoting responsible use of data and AI with improved transparency and receiving guidance on how to minimize or address bias

Business scenarios that benefit from predictive analytics 

There are several business scenarios where predictive capabilities can be immensely useful.

Sales and marketing departments can apply it to lead scoring, opportunity scoring, predicting time to close, and many other CRM-related cases. Manufacturers and retailers can use it to help with supply chain distribution and optimization, forecasting consumer demand, and exploring adding new products to their mix. Human resources can use it to assess the likelihood of candidates accepting an offer, and how they can adjust salary and benefits to meet a candidate’s values. And companies can use it to explore office space options and costs. These are just a few of the potential scenarios.

A solution to consider: Tableau Business Science

We are only at the beginning of exploring what predictive capabilities in the hands of people closely aligned with the business will unlock. AI and ML will continue to advance. More organizations, in a similar focus as Tableau, will also keep looking for techniques that can help people closest to the business see, understand, and use data in new ways to ask and answer questions, uncover insights, solve problems, and take action.

This spring Tableau introduced a new class of AI-powered analytics that gives predictive capabilities to people who are close to the business. In this next stage of expanded data exploration and use, we hope business leaders embrace data to help others make better decisions, and to provide transparent insight into the factors influencing those decisions.

When people can think with their data—when analysis is more about asking and answering questions than learning complex software or skills—that’s when human potential will be unleashed, leading to amazing outcomes. Learn more about Tableau Business Science, what this technology gives business teams, and the value it delivers to existing workflows.

Olivia Nix is a Senior Manager of Product Marketing at Tableau. She leads a team focused on the use of AI and ML in analytics and engagement, including how to use technology to enable more people in organizations to make data-driven decisions. Olivia has been at Tableau for four years where she has worked closely with development teams on new product launches. Prior to Tableau, Olivia worked as an analyst at the Pew Center on Global Climate Change (now C2ES) and Johnson Controls. She has her MBA from the UCLA Anderson School of Management.

Source: How The Power Of Predictive Analytics Can Transform Business



Predictive analytics encompasses a variety of statistical techniques from data mining, predictive modelling, and machine learning that analyze current and historical facts to make predictions about future or otherwise unknown events.

In business, predictive models exploit patterns found in historical and transactional data to identify risks and opportunities. Models capture relationships among many factors to allow assessment of risk or potential associated with a particular set of conditions, guiding decision-making for candidate transactions.

The defining functional effect of these technical approaches is that predictive analytics provides a predictive score (probability) for each individual (customer, employee, healthcare patient, product SKU, vehicle, component, machine, or other organizational unit) in order to determine, inform, or influence organizational processes that pertain across large numbers of individuals, such as in marketing, credit risk assessment, fraud detection, manufacturing, healthcare, and government operations including law enforcement.

Predictive analytics is used in actuarial science,marketing,business management, sports/fantasy sports, insurance,policing, telecommunications,retail, travel, mobility, healthcare, child protection, pharmaceuticals,capacity planning, social networking and other fields.

One of the best-known applications is credit scoring,[1] which is used throughout business management. Scoring models process a customer’s credit history, loan application, customer data, etc., in order to rank-order individuals by their likelihood of making future credit payments on time.

Predictive analytics is an area of statistics that deals with extracting information from data and using it to predict trends and behavior patterns. The enhancement of predictive web analytics calculates statistical probabilities of future events online. Predictive analytics statistical techniques include data modeling, machine learning, AI, deep learning algorithms and data mining.Often the unknown event of interest is in the future, but predictive analytics can be applied to any type of unknown whether it be in the past, present or future.

For example, identifying suspects after a crime has been committed, or credit card fraud as it occurs.The core of predictive analytics relies on capturing relationships between explanatory variables and the predicted variables from past occurrences, and exploiting them to predict the unknown outcome. It is important to note, however, that the accuracy and usability of results will depend greatly on the level of data analysis and the quality of assumptions.

Predictive analytics is often defined as predicting at a more detailed level of granularity, i.e., generating predictive scores (probabilities) for each individual organizational element. This distinguishes it from forecasting. For example, “Predictive analytics—Technology that learns from experience (data) to predict the future behavior of individuals in order to drive better decisions.”In future industrial systems, the value of predictive analytics will be to predict and prevent potential issues to achieve near-zero break-down and further be integrated into prescriptive analytics for decision optimization.

See also

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