Business Goals/Programs

How The Power Of Predictive Analytics Can Transform Business

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

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

Critics:

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.

3 Ways to Get Minority-Led Small Businesses Back to Business

If the pandemic deepened the challenges of dealing with long-felt issues among business owners of color, the recovery is putting them in focus. Access to capital and racial inequity in America continue to weigh on underrepresented small-business owners.

That was the key takeaway from a recent virtual briefing dubbed “Back to Business: Restarting Main Street in the Wake of Covid-19,” which was hosted by Reimagine Main Street, a project founded last year to lead small businesses toward an inclusive economic recovery. The discussion convened business leaders and officials, who offered their own ideas for how to resolve these longstanding issues so that minority-led businesses can get back to business.

Here are their top three tips:

1. Help people get vaccinated.

As the pandemic fueled much of the recent difficulty hitting underrepresented business owners and entrepreneurs, a good first step is to do all you can to overcome the pandemic, which can be achieved by helping people get vaccinated. “You can’t get the economy back on track without beating Covid,” says Cedric Richmond, a senior adviser to President Biden. Specifically, he suggests offering vaccine incentives to employees, customers, and the communities you serve.

He proposes offering paid time off for employees to get a jab, and providing compensation for missing work because of vaccine complications as motivation. “So many people can’t afford to lose a day or two of work,” says Richmond, therefore servicing the needs of your employees is a crucial part of getting the economy up and running again.

As for customers, the more people who are vaccinated, the quicker it is you’ll return to normalcy. So consider rewarding consumers who are fully vaccinated. United Airlines, for instance, last week launched its “Shot to Fly” campaign, offering the chance to win a year of free flights to vaccinated customers. “We just appreciate the business community partnering with us to get it done,” says Richmond.

2. Create an inclusive recovery.

Ensuring Black and Latinx business owners continue to receive financial support is vital, says Tammy Halevy, co-lead of Reimagine Main Street. Passing the American Jobs Plan, Biden’s nearly $2 trillion plan to shore up the nation’s crumbling infrastructure and boost green jobs, would be a start, adds Halevy. Additionally, it would be helpful to offer new grant programs and to “push the [Small Business Administration] to process forgiveness applications faster” to Black and Brown business owners, who need help accessing capital.

But you can’t just rely on the government for help, says Richmond. It is important for all small-business communities to help one another. Yes, you need to focus on supply chains and other internal matters. However, intentionally supporting other ancillary businesses, such as law firms, accountants, and even the local car wash, is an important step in getting minority communities as a whole back in business.

3. Demand greater access to capital.

For many minority-owned small businesses, federal relief was not accessible throughout the pandemic, says Chiling Tong, president and CEO of Asian/Pacific Islander American Chamber of Commerce. “Sixty percent of AAPI businesses, who did not apply for federal relief, did not apply because they did not think they were eligible for relief.”

Tong notes that a lack of awareness was a problem. But also, she adds: There was a potential language barrier. She says that information regarding some federal aid programs was not translated into other languages, at least initially.

These technical disadvantages pervaded long before the pandemic, she adds. The government at all levels needs to partner with various chambers of commerce to disband technical disadvantages these communities face, making sure they have the capability to apply for and maintain the same access to capital that other businesses have, says Tong.

Through investments targeted toward an inclusive recovery, vaccine incentives, and expanding access to capital, small businesses will thrive, says Richmond, and “as [small businesses] succeed and flourish, we know that the economy and the country will do the same.”

By Alicia Doniger

Source: 3 Ways to Get Minority-Led Small Businesses Back to Business | Inc.com

Critics:

Marketing plan

Market research – To produce a marketing plan for small businesses, research needs to be done on similar businesses, which should include desk research (done online or with directories) and field research. This gives an insight into the target group’s behavior and shopping patterns. Analyzing the competitor’s marketing strategies makes it easier for small businesses to gain market share.
Marketing mix – Marketing mix is a crucial factor for any business to be successful. Especially for a small business, examining a competitor’s marketing mix can be very helpful. An appropriate market mix, which uses different types of marketing, can help to boost sales.
Product life cycle – After the launch of the business, crucial points of focus should be the growth phase (adding customers, adding products or services, and/or expanding to new markets) and working towards the maturity phase. Once the business reaches the maturity stage, an extension strategy should be in place. Re-launching is also an option at this stage. Pricing strategy should be flexible and based on the different stages of the product life cycle.
Promotion techniques – It is preferable to keep promotion expenses as low as possible. ‘Word of mouth’, ‘email marketing’, ‘print-ads’ in local newspapers, etc. can be effective.
Channels of distribution – Selecting an effective channel of distribution may reduce the promotional expenses as well as overall expenses for a small business.

References

Shailer, Gregory E. P. (1 September 1993). “The irrelevance of organizational boundaries of owner-managed firms”. Small Bus Econ. 5 (3): 229–237. doi:10.1007/BF01531920.
n. Berger, Allen; f. Udell, Gregory (1 August 1998). “The economics of small business finance: The roles of private equity and debt markets in the financial growth cycle” (PDF). Journal of Banking & Finance. 22 (6–8): 613–673. doi:10.1016/S0378-4266(98)00038-7. ISSN 0378-4266.
Small Business Administration. Summary of Size
Dilger, Robert Jay (17 April 2018). Small Business Size Standards: A Historical Analysis of Contemporary Issues (PDF). Washington, DC: Congressional Research Service. Retrieved 20 April 2018.
Small Business Health Care Tax Credit for Small Employers. IRS.
European Commission, What is an SME? accessed 18 October 2017
European Commission, Directorate-General for Internal Market, Industry, Entrepreneurship and SMEs Revision of the EU SME Definition: Inception Impact Assessment, accessed 18 October 2017
Banking Association South Africa, Small Business Definition, accessed 18 October 2017
Small Businesses joined by Facebook. Steve Kaplan. 2014. Retrieved 13 May 2014.
“The Surprising Demographics of Small Business Owners”. Small Business Labs. Retrieved 3 April 2018.
*Healers, S. Purdy, D. Stanworth, C. Watson, A.2004. Franchising as small business growth strategy: A resource-based view organizational development: International small business journal,22(6), pp 539-599
“Types of Cooperatives”. Nebraska Cooperative Development Center. University of Nebraska-Lincoln.
Fox, W.F.; Murray, M.N. (2004). “Do Economic Effects Justify the Use of Fiscal Incentives?”. Southern Economic Journal. 71 (1): 78–92. doi:10.2307/4135311. JSTOR 4135311.
Longenecker, Justin G.; Carlos W. Moore; J. William Petty; Leslie E. Palich (2008). Small business management: launching and growing entrepreneurial ventures (14th ed.). Cengage Learning. p. 768. ISBN 978-0-324-56972-8. OCLC 191487420.
Walczak, D.; Voss, G. “New Possibilities of Supporting Polish SMEs within the Jeremie Initiative Managed by BGK”. Mediterranean Journal of Social Sciences. 4 (9): 759.
EUR-Lex, Comparable and clear company financial statements across the EU: Summary of Directive 2013/34/EU on the annual financial statements, consolidated financial statements and related reports of certain types of businesses, published 17 January 2017, accessed 13 April 2021
UK Legislation, The Companies, Partnerships and Groups (Accounts and Reports) Regulations 2015: Explanatory Note, accessed 13 Apriil 2021
“Future of financial reporting in the UK and Ireland” (PDF). ACCA. April 2011. Retrieved 12 January 2014.
Barnes Roffe LLP, The end of FRSSE, accessed 6 April 2021
Companies House, Accounts advice for small companies, accessed 13 April 2021
“Surveying Businesses on Tax Compliance Costs” (PDF). Retrieved 17 October 2011.
“Small Business: The Art Of The Start”. Retrieved 13 January 2015.
Shailer, G. Capitalists and Entrepreneurs in Owner-managed Firms. International Small Business Journal 12(3) April-June 1994: 33–41.
Armstrong, Craig E. (28 October 2013). “Competence or flexibility? Survival and growth implications of competitive strategy preferences among small US businesses”. Journal of Strategy and Management. 6 (4): 377–398. doi:10.1108/JSMA-06-2012-0034.
Coleman, A. (27 November 2013). “Targeted networking and social media: how to win new business efficiently”. The Guardian.
Richbell, S. M.; Wardle, P.; Watts, H. D. (2006). “Owner-managers and Business Planning in the Small Firm”. International Small Business Journal. 24 (5): 496–514. doi:10.1177/0266242606067275.
“Profitable Tactics Using Internet Marketing For Small Business”.
Peavler, Rosemary. “3 Types of Business Bankruptcy”. The Balance Small Business. Retrieved 31 May 2019. Backman, Maurie (4 May 2019). “What Is Corporate Bankruptcy? -“. The Motley Fool. Retrieved 31 May 2019.

How to Spot Business Ideas Worth Pursuing

Nothing propels a company more quickly than innovation, and nothing stifles it more quickly than a “that’s how we’ve always done it” attitude. News startup Axios is an excellent example of a company breaking barriers and thinking outside the box. The company is making a big bet that other companies will pay to learn how to write like Axios reporters.

The new communications platform, AxiosHQ, launched in February and enables companies to send Axios-style, just-the-facts internal newsletters. Its cost? At least $10,000 annually. It remains to be seen whether executives will be willing to invest that kind of money, but it’s a fascinating proposition.

What does it take for organizations to vet, approve and develop similarly innovative ideas? The answer is not simple, and it varies from company to company. Innovation efforts get plenty of lip service, but it’s much harder to perfect a process for selecting and implementing top ideas.

No magic wand for innovation

In the same way that data-driven decisions run many aspects of an organization, leaders need to use data to create a rubric for vetting innovative ideas. This enforces discipline and keeps everyone on the same page.

Without an evaluation process, innovation programs become short-sighted and may fall out of alignment with long-term organizational goals. Having an organized process also removes emotion from decision-making to keep project focus and dollar spend as data-driven as possible.

For innovation to succeed, leaders also have to be aligned around critical factors. This forms a living rubric that can be adapted throughout the organization as business needs shift and evolve. Generally, some sort of innovation leader — a chief innovation officer, a chief strategy officer or a business unit leader — will lead this team to ensure the process runs smoothly and stays on track.

When we developed our rubric at Coplex, we struggled to find a technical solution that was flexible enough while still enabling us to manage our ideas. We ended up building one ourselves. We now use this tool to drive the underlying engine of our entire idea management process, and it works because effective innovation strategy always starts at the top. Bring your entire leadership team together from the beginning of the process to discuss priorities and foster conversations about ideas, outlining your concrete vision along the way.

Here are three ways to evaluate your innovation ideas and create a framework to make them a strategic reality:

1. Create an innovation blueprint

Before you begin to gather ideas from your team, you have to first come up with a blueprint — such as Google’s Eight Pillars of Innovation — that defines the initiative’s overall structure. This helps put up guardrails around the problem spaces the organization is willing to play in and, more importantly, which problem spaces are off-limits.

An innovation blueprint consists of three distinct components: statement, antithesis and thesis. Your statement defines your company’s ambitions and outlines why you believe in what you’re doing, why now is the best time to do it and what makes you the best candidate for the job.

From here, develop an antithesis that defines the problems, business models and core technologies you don’t intend to address. Why? It removes distractions and keeps the focus on priorities. Finally, create a thesis that gives you a clear lens into how you’ll invest in problem spaces, business models and technologies to create the change you want to see.

2. Define innovation themes

Once you’ve developed a solid blueprint, it’s time to identify the themes of problem spaces you intend to solve. This step will define the categories in which your innovation ideas should fall while clearly outlining how your solutions could come into play.

Think of this as similar to how the National Association of Engineers (NAE) outlines the many challenges left to overcome in its field. In its report on the grand challenges of engineering, NAE defines themes (e.g., joy, sustainability, health and security) as areas ripe for innovation and abundant with opportunity.

The core reason for taking this approach? It allows you to consider potential ways to innovate beyond what the organization had imagined before — and to set goals with those parameters in mind.

3. Map measurement criteria back to a rubric

Once you’ve defined your innovation themes, it’s time to develop the criteria you’ll use to measure your success. Global design firm IDEO made it a goal to quantify innovation by looking at its clients’ internal team dynamics as well as other companies focused on innovation.

The firm identified six areas key to innovation and then sent its survey, coined “Creative Difference,” to larger organizations to understand how team members were performing when it came to innovation. Once the survey was complete, IDEO sent results with tangible innovation metrics and recommendations on how to follow and meet them moving forward.

As you define how you measure innovation and create your unique rubric, keep in mind that you aren’t limited to traditional metrics. Feel comfortable being creative and innovative as you decide on those! It’s possible to measure everything from societal impact and economic value to organizational scale and new market discovery.

The process of pursuing innovative ideas requires much more than a quick brainstorming session or selecting an appealing idea from a list. By creating an underlying philosophy and structure governing the prioritization of ideas that flow through an organization, you can retain control over your innovation program’s outcomes instead of leaving anything to chance.

Business ideas that solve problems are fundamental to developing the world and companies such as Curemark are one of many who do this. Curemark is a biotech company founded by Joan Fallon, who noticed that a lot of the children she treated were low on an enzyme for processing protein and since then she has quit her job and has built Curemark to solve this problem. Curemark has now raised $50 million and is on its way to solving a problem that truly exists.

Profitability is a business’s ability to generate earnings compared to its costs over a certain period of time. This is possibly the most important aspect of any business idea in the long term, as this is what makes a business survive in order to keep having the impact that it has. Profitable ideas need a strong revenue stream against its costs and this tends to create the success of the business, however, some companies defy this and make losses to begin with, yet are still exceptional business ideas that are worth billions.

Brenda Schmidt

By: Brenda Schmidt / Entrepreneur Leadership Network Contributor

Source: How to Spot Business Ideas Worth Pursuing

References

Unknown. “What is innovation?”. Business.gov.au. Retrieved 29 October 2015.
Kotter International (22 November 2013). “It’s not the idea, it’s what you do with it”. Forbes.com. Retrieved 29 October 2015.
Dyer, Jeff (19 August 2015). “Decoding Tesla’s secret formula”. Forbes.com. Retrieved 29 October 2015.
Davidson, Lauren (21 August 2015). “Uber IPO planned for first half of 2017 as bookings grow four-fold this year”. Telegraph.co.uk. Retrieved 29 October 2015.
Unknown (29 October 2015). “General Motors Company – NYSE”. Yahoo.com. Retrieved 29 October 2015.
General Motors. “General Motors company history”. gm.com. General Motors. Archived from the original on 11 March 2015. Retrieved 29 October 2015.
Tesla. “About Tesla”. Teslamotors.com. Tesla Motors. Retrieved 29 October 2015.
“Definition of USP”. whatis.com. Retrieved 29 October 2015.
Basu, Anasuya (28 August 2014). “Uber tops where taxis fail to tread”. telegraphindia.com. Retrieved 29 October 2015.
“Uber Rush how it works”. rush.uber.com. Retrieved 29 October 2015.
Krippendorf, Kaihan. “great companies solve problems that matter”. fastcompany.com. Retrieved 29 October 2015.
“Profitability ratios”. investopedia.com. Retrieved 29 October 2015.
Egan, Matt (23 January 2015). “Startup lose money despite being worth billions”. money.cnn.com. Retrieved 29 October 2015.
Smith, Craig (8 October 2015). “By the numbers: 60 amazing snaphat statistics”. expandedramblings.com. Retrieved 29 October 2015.

Newcomer, Eric (30 June 2015). “Uber bonds term sheet reveals $470 million in operating losses”. bloomberg.com. Retrieved 29 October 2015.

Here’s How You Can Use Decentralized Finance To Draw Passive Income Streams

With the European and global crypto markets going mainstream in 2021, the term DeFi — short for Decentralized Finance — seems to have seeped into the consciousness of the masses, at least those looking to invest in this yet nascent space. In this regard, it bears mentioning that the DeFi ecosystem has grown from strength to strength over the last 12 odd months, with the amount of money coming into this space increasing from $1 billion to $40 billion since Q2, 2020.

From a conceptual and operational standpoint, one can see that DeFi projects are designed to function in the same way as their centralized finance (CeFi) counterparts. This is to say that they enable users to lend and borrow funds, speculate on the price movements of various assets, earn interest rates and so on, much like traditional bank accounts except without a bank intermediating the transactions, thus removing the associated cost overhead and delays. Transaction rules, on the other hand, are enforced by the software, leaving no room for human error or oversight.

The onset of DeFi has been beneficial to both the crypto maximalists as well as the traditional investors looking for yield. The reason is that the so-called stablecoins are as eligible to participate as the traditional crypto. Stablecoins are the cryptocurrencies pegged 1:1 to conventional currencies and are backed by the respective reserves. Some of the most widely used ones are USDT and USDC, both of which are pegged to USD and can be acquired from most cryptocurrency exchange providers. Accessing DeFi through these eliminates price risk stemming from the volatile nature of cryptocurrencies.

99Bitcoins

Start trading Bitcoin and cryptocurrency here: http://bit.ly/2NI4xtF DeFi applications – https://defipulse.com/defi-list/ DeFi is becoming more and more popular as the main use case for cryptocurrencies. This video explains in detail what DeFi is and what you should know about before getting involved. 0:38 Bitcoin and Our Financial System 1:24 Our Centralized Financial System 1:59 What is DeFi? 2:22 DeFi Components 4:16 – DAI explained 5:51 – DEXs explained 6:33 – Decentralized money markets 8:06 Money Legos 8:56 DeFi Advantages and Risks 10:02 Conclusion For the complete text guide visit: https://bit.ly/2R35g6Z Join our 7-day Bitcoin crash course absolutely free: http://bit.ly/2pB4X5B Learn ANYTHING about Bitcoin and cryptocurrencies on our YouTube channel: http://bit.ly/2BVbxeF Get the latest news and prices on your phone: iOS – https://apple.co/2yf02LJ Android – http://bit.ly/2NrMVw2

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The DeFi difference and how it can work to your advantage.

From the get-go, it is important to understand that before the advent of DeFi, crypto owners did not have access to any decentralized avenues for lending, farming, staking their assets. Centralized options were also few, far between and of questionable reliability. However, with this space continuing to grow, there are now a plethora of ways through which token holders can see their assets multiply.

The simplest and most convenient means of earning passive income through DeFi is by depositing one’s crypto into a platform that provides users with an APY (annual percentage yield). The core difference here is that while most banks provide users with interest rates ranging between 0.2 percent to 0.6 percent at max, DeFi returns can go as high as 15 percent.

Yield Farming.

As the name seems to quite clearly imply, the concept of “Yield Farming” entails the generation of a passive income stream via the use of a variety of different crypto assets. In its most basic sense, Yield farming can be compared with traditional finance offerings such as bank deposits, fixed-term deposits, and even government bonds wherein investors lock in their fiat assets with a financial institution, allowing for increased liquidity. This liquidity in turn generates growth for the institution, thus allowing for steady interests to be paid out to investors.

Similarly, yield farmers can make use of DeFi money markets, liquidity pools, etc to draw in steady returns for themselves. For example, an individual locks up 10,000 USDC (US dollar-pegged stablecoin) into a DeFi protocol, providing it with instant liquidity. In return for locking up these funds, the person is rewarded with fees generated by the underlying DeFi platform. These reward tokens can then once again be deposited in other liquidity pools, allowing users to constantly accrue a flow of income by continually switching between different protocols.

Popular platforms worth considering.

Uniswap: The name UniSwap has almost become synonymous with the term “passive income,” at least across the global crypto landscape. The protocol provides users with a tangible avenue through which they can earn returns on their assets by becoming liquidity providers (LPs).

In their most basic sense, LPs are those individuals that deposit an equal USD amount of two tokens, known as a pair, to a liquidity pool. Whenever these tokens are moved — for example, borrowed by a third party — the fee that is generated from such a transaction and is shared with the LP depending upon his/her stake in the pool.

UniSwap is perfect for those individuals who may be in possession of “idle crypto assets” and looking to invest their funds in a platform that is relatively risk-free and easy to make use of.

Aave: This is a platform to lend and borrow assets. You put assets in a pool — for example the USDC pool — and anyone who needs to get USDC can come and borrow some, by collateralizing the loan. Depending on demand they’ll pay roughly between 2 percent and 80 percent APR, while you’ll get between 0.5 percent and 75 percent APY for lending into the pool.

While providing to liquidity pools such as Uniswap involves some degree of risk (the “impermanent loss”) depending on the pair of assets you are dealing with, Aave is really the simplest product to understand: deposit 1 asset, get paid a certain interest percent in that asset.

The risks.

Though on paper, the concept surrounding yield farming looks extremely attractive, it is not free of its share of risks.

The very first risk — the thing which resulted in the most money lost in 2020 — is greed. “Rug pulls” and “exit scams” were the No. 1 risk in terms of money stolen last year. A good reminder to do your own research!

The second type of risk, tech risk, means that if there is a bug in the smart-contract you are using, you could lose all your money, and that’s why you want to make sure they have been independently audited. For the same reason, you are best advised to not “put all eggs in the same basket” and deposit across several protocols.

There have also been a lot of attacks associated with “price oracles.” This is somewhere between a tech risk, a design risk and a financial risk. An “oracle” is the service through which a DeFi protocol obtains real-time price data. Those can potentially be manipulated or tampered with, especially since these instruments are totally automated and there is no way to audit or verify the accuracy of the data provided by these platforms. A lot of “attacks” in 2020 were executed through manipulating the price information of assets and getting a lot of tokens for cheaper than one ought to from a service.

Lastly it is no secret that the crypto market at large is the subject of daily price swings, causing the value of many assets to jump up and down wildly. In this regard, if the value of a cryptocurrency that is being farmed dips to extremely low levels, users could incur heavy losses compared to the currency they use to go shopping. Two hundred percent APY on something whose price is dropping by 300 percent a day isn’t going to make you rich any time soon. That’s a financial risk, and the conclusion is to choose your assets wisely.

Anton Altement

By: Anton Altement/ Entrepreneur Leadership Network VIP

Source: Here’s How You Can Use Decentralized Finance to Draw Passive Income Streams

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