Data was, Analytics is, the New Oil

Data is the new oil. It’s valuable, but if unrefined, it cannot really be used. It has to be changed into gas, plastic, chemicals, etc., to create a valuable entity that drives profitable activity; so data must be broken down, analyzed for it to have value.” These are the words of famous British mathematician and data science entrepreneur Clive Humby, who coined the phrase “data is the new oil” in 2006. In 2011, the Senior Vice President of Gartner, Peter Sondergaard, took this concept further. “Information is the oil of the 21st century and analytics is the combustion engine,” he said. Today, “analytics is the new oil.”

Raw data, especially Earth Observation (EO) data, has been proliferating for years, with an increasing number of satellites being launched every year. However, not too long ago, it became obvious that without the expertise to extract actionable intelligence from this data, it was impossible to fully leverage its potential. “Hidden within the growing flood of data are the answers to a multitude of questions about agricultural yield, mining rates, deforestation, mass migration, climate change, factory production, new road and building construction, and most other aspects of societal and economic change. The role of analytics is to pull focused, actionable insights from this flood of data. As our world increases in complexity and its rate of change increases, this role becomes more and more critical,” explains Orbital Insight Founder, James Crawford.

From here on, the demand for analytics is only going to rise. “As the need for satellite derived data and information increases and more data is being made available and delivered, surely the demand for highly targeted and specialized analytics service will only rise in the future,” says European Space Imaging’s Managing Director, Adrian Zevenbergen.

Market forecast & key drivers

The EO market is undergoing multiple disruptions. Satellite-based EO is offering value-added solutions to businesses across sectors, thereby fuelling market growth. According to a report by Industry Research, the global satellite-based EO market is likely to be worth $4.51 billion by 2024, growing at a CAGR of 13% from 2020 to 2024.

In the imagery segment, the emergence of small companies and startups are bringing a great deal of diversity and are leading to an increase in demand for EO data analytics. “The boom in Software-as-a-Service (SaaS) offerings that provide analytics, dashboards, and insights into targeted types of data will continue. I believe that SaaS data platforms will lower the barriers of entry to enable more companies to expand their use of analytics,” says Brett Antonides, Vice President of Apps, Analytics and Visualization, Arturo.

Liz Derr, Co-Founder and CEO, Simularity, feels that today, customers are more interested in analytics services than anything else. “They want answers, not anomaly images. If geospatial analysis is to make it into the commercial sphere, tools, applications, and Artificial Intelligence (AI) software that make analysts more productive and help automate report generation would be key drivers of success.”

Already, Fourth Industrial Revolution (4IR) technologies like Artificial Intelligence (AI), Robotics and Cloud Computing are driving new EO application areas. “Planet Labs alone captures over 15 TB of data each day — an amount that would be impossible for someone to manually sift through, even with large teams of analysts. Advances in AI and computer vision let us cut through the noise and the volume. We can teach these systems to automatically identify and classify a variety of useful things like roads, buildings, vessels or areas of change. This enables those experts and analysts to spend their time on what really matters,” says Brian Hernacki, Senior Vice President, Software, at Planet Labs.

Raw data, especially Earth Observation (EO) data, has been proliferating for years, with an increasing number of satellites being launched every year. However, not too long ago, it became obvious that without the expertise to extract actionable intelligence from this data, it was impossible to fully leverage its potential

According to Crawford, it would take approximately eight million people to look at the entire satellite imagery of the earth every day. “By using AI and data science, we can count and identify cars, trucks, planes, railcars, and new roads and buildings all over the world, aggregate the results, and highlight anomalies to the human analysts,” he says. These technologies are also helping lower the cost of analysis, making EO Intelligence available to new sets of users for their monitoring needs. The reducing cost, and easy availability of relatively high-resolution optical, multi spectral, and Synthetic Aperture Radar (SAR) data is further making EO Intelligence viable for the business community.

“Small satellite constellations and in general, the technical standardization in this field helped to drastically reduce costs and increase the number of companies investing in EO satellites,” says Zevenbergen. This has resulted in more launches every year. From a commercial perspective, it opens new opportunities for services and products that require high revisit rates. However, capturing Very High-Resolution (VHR) imagery still requires larger satellites. “But those are becoming lighter, more standardized satellites operating as part of constellations. Increasingly, we see users adopting strategies to benefit from the combination of traditional assets and small satellite constellations,” he adds.

Emergence of new players

Application areas

Currently, the maximum demand for satellite-based EO data comes from traditional end-users, such as defense, infrastructure and engineering, agriculture, disaster management, and energy and power. Experts believe that these sectors will continue to be the biggest consumers of EO data and analytics. However, a whole new set of application areas are now opening up. “Outside defense, we are seeing interest in areas like international dispute monitoring, ecological and climate change, natural disasters, encroachment, and government accountability,” highlights Derr. Crawford says the new applications range from detecting and preventing deforestation, increasing national security, to tracking the impact of COVID-19 on factory production.

Acquiring, processing, and interpreting large amounts of data in less time through automated means is also making it possible to use satellite-based EO data in areas like insurance and emergency response, which were earlier dependent on in situ observations. For instance, ICEYE’s flood monitoring solution for the insurance market is about knowing which buildings are flooded and what is the extent of the loss.

ICEYE's analysis of Louisiana flashflood | Courtesy: ICEYE

Arturo, too, is using EO analytics for the insurance sector. The company’s roof analytics alone can save insurers considerable time and money when compared to sending a person to physically inspect a roof or deploying someone to manually inspect the imagery. “As the world begins to rebound from the global pandemic, we are seeing shifts in the labor force. Whether these shifts are due to a change in perspective after lengthy lockdowns, perturbations in labor supply due to pent-up demand, or other factors, it’s a disruptive event that creates an opportunity for companies that can leverage analytics to get a leg up on their competitors, and expands the market for companies offering analytics capabilities into these segments,” adds Antonides.

Supply Chain and Logistics

Challenges

As of today, the forecast for satellite-based EO data and analytics looks bright. However, there is a flipside to it. There are various industries that are untapped or have not realized the full potential of satellite data services and applications. A lot of work needs to be done to foster adoption through product awareness and education. “The biggest challenge today is that potential users are not aware of the power of satellite analytics and/or do not know how to use the tools. Further, many prospective users, such as supply chain managers, are often not even aware that geospatial analytics can be used, for example, to track the manufacturing activities of their suppliers, customers, and competitors,” says Crawford.

“One of the biggest challenges surely is understanding the exact needs of the end-user market in order to develop services delivering truly valuable insights. The possibilities seem endless, but the challenge will be to offer the right service to the right user,” adds Zevenbergen.

A combination of images, acquired by one of the Copernicus Sentinel-3 satellites, shows the snow deficit affecting the Andes mountain range in South America. EO data provide answers to a multitude of questions concerning climate change | Courtesy: REUTERS

Many of the newer technologies, which help in extracting actionable intelligence from satellite data, rely on breakthroughs in science that are difficult to understand for several audiences. “AI in particular invokes a broad set of connotations from the fantastical to the dystopian,” says Antonides.

Satellite-based EO is also facing tough competition from within the larger EO industry. As per a report by Mordor Intelligence, the global satellite-based EO market was valued at $2.74 billion in 2019, and it is expected to reach $4.42 billion by 2025, registering a CAGR of 8.5% from 2020 to 2025, which is a clear decline from the 13% growth mentioned earlier. The main reason behind this drop is the presence of open data, like EOSDIS from the US, Copernicus from Europe, etc., and increasing use of alternative EO technologies, such as UAVs. Though these are challenges for the commercial market, they may lead to greater democratization of EO data.

Acquiring, processing, and interpreting large amounts of data in less time through automated means is also making it possible to use satellite-based EO data in areas like insurance and emergency response, which were earlier dependent on in-situ observations

Clear future

There are endless possibilities of benefits to society from satellite-based EO. With higher spatial, spectral, and temporal resolution, the future of EO is bright. Derr says that freely available satellite imagery and open source tools can be used by researchers, scientists, local governments, non-profits, and smaller organizations to gain a level of situational awareness that they have not had previously. “Growing this market with affordable analysis is important if EO companies want to diversify their customer base so that their revenues and success aren’t completely controlled by politicians and military budgets.”

There are endless possibilities of benefits to society from satellite-based EO. With higher spatial, spectral, and temporal resolution, the future of EO is bright

The use of satellite imagery enables a wholesome understanding of issues and establishes analysis-based imperatives for necessary decision-making, thereby bringing together the bio-physical world and social elements. Whether commercial, strategic or developmental, the EO outputs are getting more and more enmeshed in every sphere of economic and social life on the planet. If we are going to take on some of the biggest challenges facing Earth in the near future, we need Remote Sensing to cover that much ground. “In the future, these applications will provide more and more focused information for specific target markets and be highly automated,” sums up Zevenbergen.

© GEOSPATIAL MEDIA AND COMMUNICATIONS. ALL RIGHTS RESERVED.​

Data Is The New Oil -- And That's A Good Thing

Back in 2017, The Economist published a story titled, "The world's most valuable resource is no longer oil, but data." Since its publication, the topic has generated a great deal of discussion, and "Data is the new oil" has become a common refrain. The problem is that the discussion usually focuses on why this is a bad thing.

Sure, there are legitimate concerns about how tech giants are exploiting what they know about us. But at the same time, there are myriad ways in which all this data can (and does) improve the world. Let's examine just a few examples:

Eyes In The Sky

At first glance, the idea of aircraft with advanced imaging technology flying over one's community doesn't sound like a good thing, but it can be. Imagine a plane with all manner of imaging equipment flying at relatively low altitudes collecting terabytes of data each day of visual images, millimeter and infrared wavelength images, cloud-penetrating radar and so on.

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For what purpose? So that the state of Iowa can more accurately forecast this year's corn harvest, or gas companies can survey tens of thousands of miles of transmission lines to avoid wildfires, or so that FEMA can use this data to decide in which order it needs to evacuate citizens during natural disasters.

But none of this is possible without enormous amounts of data — hundreds of terabytes per day of raw aerial footage.

Saving Lives

Harvard Medical School published research comparing the accuracy of machine learning systems against human pathologists in detecting breast cancer. The machine learning was 92% accurate, which is good. But humans were 96% accurate. Case closed, right?

Harvard then combined the pathologists' discoveries with the scans of the machine learning systems. The accuracy soared to 99.5%. That reduces the mistakes by almost an order of magnitude (from 40 per thousand to just 5 per thousand) and represents 56,000 fewer misread breast scans per year in the U.S. alone.

To accomplish this, researchers had to amass huge amounts of data from which they could train their machine learning models.

It isn't just radiology; the emerging field of gene therapy maps pathologies to specific genetic mutations. This means that newly diagnosed cancer patients now routinely have their genes sequenced so oncologists can prescribe the most effective treatment.

Gene therapy has advanced in part through the genetic sequencing of hundreds of thousands of humans, and in part from dramatic drops in the cost of gene sequencing.

The key to both of these life-saving advances? Petabytes and petabytes of data.

Moore's Law

In 1965, engineer Gordon Moore famously predicted that the number of transistors on integrated circuits would double every year for the next decade. He later revised that to doubling every two years. More than half a century later, this trend continues despite predictions that Moore's Law cannot last much longer.

To achieve these advances, chip geometries aggressively shrink over time. As geometries have shrunk, the volume of data generated as part of the chip design process has grown geometrically. This data, design artifacts and simulation results are literally the core assets of a chip manufacturer.

Clearing The Air

Autonomous vehicles (AVs) are coming. The benefits are widely known: safer roads, a boost to the economy and less rush-hour crowding. But perhaps the biggest benefit is a reduction in greenhouse gases (GHG) coming from automobiles. Research conducted by Poznan University professors estimates that autonomous vehicles could eventually reduce GHG by 40% to 60%. According to the Environmental Protection Agency, today's transportation accounts for 29% of GHG in the United States, so this would be an important advance.

How do we get to the AV future? You guessed it: data. In this case, it requires hundreds of petabytes of data that form the data lake from which the AV self-driving advanced machine learning solutions will come. It doesn't stop there. Each of these modern "computing platforms that happen to be mobile" will generate terabytes of data per week per vehicle. Even assuming a 75% reduction in the number of vehicles on the roads, that's many exabytes of data per year.

All of this is the data you keep. It's the new oil. If a vehicle accident occurs, you can call up the images that the vehicles involved recorded to decide what caused the accident and which AV algorithms need improvements.

Data: The Ultimate Renewable Resource

It's clear that data really is the new oil and that the main impact on humanity isn't how tech giants are monetizing our attention units, but about how data can improve our lives.

Sounds familiar, doesn't it? Oil causes pollution, yet it was also responsible for lifting a large majority of the population of the world out of dire poverty. We must manage the dark side of data, but the advances in data fuels are worth the effort.

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TECHNOLOGY IS THE NEW OIL

 

Tech is the New Oil

December 8, 2021 | by Maro Elias | 0 

I am personally passionate about the tech industry and the opportunities inherent within it, especially for young people. While I have been interested in tech for more than 3 years now, I really only became actively involved from a fintech perspective in the past 6 months, and I have clearly become a huge advocate and evangelist of the wonderful things tech can do for both people individually, and how it can economically uplift even nations. This piece is my attempt at outlining the benefits of tech from a broader economic perspective.

LOCAL CONTENT

Governments, Parliamentarians, Regulators, Politicians are generally not stupid (regardless of what you think), while there are politicians who excel at speaking  to the hearts of the crowds, getting their buy-ins to win elections, convincing people they are right for the job, and when all of these don’t seem to produce the desired results, moving some couple million dollars to a special account to use to PROPERLY INDUCE the electorates to vote for them, a good number of politicians are smarter than you think, and regardless of who is smart or not smart, the language all people understand is money, and as long as there’s money to be made, people have generally found ways to align themselves, if but only temporarily. The Nigerian Oil and Gas Industry Content Development (NOGICD) Act 2010 is a very good example of this.

Prior to the establishment of NOGICD in 2010, most of the value being created in the Oil and Gas industry in the Nigerian ecosystem was largely being imported to foreign climes. So while oil was responsible for 90% of the country’s revenue, it represented less than 38% of the country’s GDP, and according to some data, almost US$380 billion was literally being paid to expatriates, foreign contractors etc. as against Nigerians.

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While this design may have favored a select few (The Oil Majors), this was damaging to the local economy. Big companies are good at many things – partnerships, navigating harsh and uncertain regulatory environments, and more importantly lobbying lawmakers – I do not think the oil majors of those times were any different, and I don’t think I would be fantasizing if I assumed a couple of nice crisp Benjamin’s (slang for 100 US dollar bill) had greased the palms or slid into the personal accounts of certain lawmakers to keep things so, however in 2010, lawmakers were able to put selfish interests aside and come to a common consensus to pass the Nigerian Content bill.

The result of this bill was massive access to the booming oil and gas sector by the average Nigerian either by being directly employed and trained by some of these majors, starting businesses in certain verticals (pipe manufacturing, welding etc.) that benefited from the enforcing of this bill, or flat out starting their own Indigenous oil producing companies altogether (Seplat, Aiteo etc.). The result of politicians ignoring 6,7 or even 8 figure dollar account balances to see the good of the general populace has been felt by all, and while the Nigerian Content bill isn’t necessarily at 100 percent Local Content and there is still definitely a lot of room for growth, at 31% Local content implementation we can say that the team working on this has made significant progress and has done a good job altogether.

Why compare Oil and Gas Local Content to Tech? Simple – tech needs no Local content. From day 1 tech has largely been a local player driven industry, and while I am aware that at some point Nigerian firms were literally importing a good proportion of the software (HR, Accounting etc.) used for business purposes, today a good number of local and affordable alternatives exist on the continent, and this has spurred massive local adoption of technology solutions among not just businesses, but individuals alike.

Today the revolutionary technology that powers the TSA (Treasury Single Account) – the one technology that has severely (not completely) paralyzed the ability of corrupt civil servants to move funds indiscriminately into personal pockets and allowed the Federal Government have a much clearer view of its financial positions per time is powered by a fully indigenous Nigerian company – SystemSpecs, the firm that pioneered card switching in Nigeria and made it possible for people to use ATMs as against having to carry cash around was founded by a Nigerian and is called Interswitch, the company that provides Core Banking Applications (CBA) to more than 500 Microfinance Banks in Nigeria who may not be able to afford much more pricier solutions like Temenos T24, Finacle etc. is a Nigerian company called AppZone. These companies do not just create solutions for Nigerians, they create jobs and opportunities for the ecosystem, both directly and indirectly.

DECENTRALIZED OPPORTUNITY

One of the reasons I believe tech may not just be the new oil, but may be better than it is the fact that tech creates a huge opportunity for ordinary basic people without any kind of privilege, who are smart enough and have found favor with God to scale up massively and create wealth that would have been unforeseeable in a previous dispensation.

What do Jim Ovia, Segun Agbaje and Tony Elumelu have in common? They are some of the biggest names in the banking industry today. Another thing they have in common is that these men spiraled into wealth by grasping the opportunities that came from a friction filled banking system, creating new paradigms of business and profiting off the growth that came with it. And while Jim Ovia and Segun Agbaje had some degree of privilege (not enough to warrant owning banks and being billionaires), Tony Elumelu was a pretty unremarkable guy who finished from the university with a second class lower (not that that means anything), that now runs some of the biggest businesses in Africa, funds more than 1,550 African entrepreneurs annually, is playing a pivotal role in shaping the future of African entrepreneurship and what he calls ‘Africapitalism‘ and possibly owns a very nice looking silver Rolls Royce (I just had to add that).

Today, some of the largest tech startups in Africa were founded by pretty normal guys who were driven, smart enough to see opportunities, and favored enough to be able to capitalize on them.

One of the founders of Flutterwave used to work at Access Bank, the Cofounder of Mono (raised a US$15 million Series A in 2021) Abdul Hassan was a product manager at Paystack, TeamApt’s CEO used to write code at Interswitch, Musty Mustapha, CTO of Kuda Bank (US$55 million Series B) was a Software engineer at FirstBank, the list is endless. The idea is that like the Banking sector in the early 1990s, the opportunities in the tech space today are massive, and those who are able to run with them early enough are positioning themselves for huge rewards going forward.

Today, if you want to start a Bank, a Deposit Money Bank, DMB for short, you will need to show the Central Bank of Nigeria that you have a minimum share capital deposit of N25 billion (US$60.8million) to prove to them that you’re serious. In other words, if you plan to start a proper DMB in Nigeria, (not a Microfinance Bank), the ticket to see that movie at the CBN Governor’s Office is N25 billion. No wonder there are only 22 people inside the theater watching it.

However, if you want to start a tech firm today, you majorly need a team to build, market and sell your solution to the market. Most regulatory licenses (in the fintech space) can be circumvented by partnering with banks, and I don’t think NITDA licenses cost billions to acquire. The opportunity for every (serious and committed) Dick and Harry to come onboard is largely there, and this creates new opportunities for new business verticals going forward.

THE INTERNET FRAUD PARADOX

While I do not in any way support Internet fraud (‘Yahoo Yahoo’), and I consider It to be a bane to the image of our country, the truth is that although Internet Fraud is bad for the public image and brand of our country (and I have personally witnessed this up close), it is relatively good for our local economy because these fraudsters move these monies back to Nigeria, and spend them locally. Is it safe for us to assume that Internet Fraud adds an additional US$15-50million or even more to the Nigerian economy annually? Either way, we should be switching this paradox to value what remote tech workers add to our National GDP annually too.

In the past you would need to be based in a foreign nation to earn Forex from that nation as an individual, and even if you made remittances back to family members back home, chances are, you’re only remitting a certain percentage of what you earn, as majority of that money would still be spent and circulated in the economy of the host country you dwell in. Today, a software engineer, UI/UX designer etc can work with a US or European based firm from his workstation in Lagos, earn at the economically accepted remunerable level of that nation (say US$3,000 to maybe even US$12,000 per month) and spend a vast majority of that money within our local economy here in Nigeria. This bolsters the economic strength of the nation and creates other avenues for value creation internally.

Total Remittance into Nigeria in 2020 was US$17.2 billion – if we had 70,000 tech workers working for foreign firms earning at least US$5,000 a month in Nigeria, that could culminate into US$4.2billion in economic value that will be introduced into the local economy. A 2019 report from CNBC claimed there were at least 700,000 open tech jobs in the US alone, according to data from DealRoom, more than 100,000 tech job vacancies were opening up weekly in Europe, more of these companies in a bid to fill these roles are open to hiring remote talent to get the job done, firms like Andela, TalentQL, Propel (formerly Hire Free Hands) are capitalizing on these opportunities to create value; why doesn’t the government make a concerted effort to make Nigeria the home for remote technology talent globally, the same way Portugal has successfully positioned itself to be a global tech hub.

OWNERSHIP FLIGHT

One of the biggest issues in the tech startup space today is that while Nigerian tech startups are raising more money on a YoY basis, and increasingly garnering investor interest, more than 80 to 90 percent of African startups (especially those who have had multiple funding rounds), are really owned by foreign investors, and when the time for exits come, we’ll realize we only ended up creating wealth for the founders, early team members, a couple of employees, but majorly and more significantly foreign investors who commendably had the nerve to believe in our system and businesses when our own governments didn’t. In other words, a Local Content issue is resurfacing itself in the tech industry today, but this isn’t really about hiring foreigners, it’s about the fact that most of the wealth being built in Nigerian tech startups will largely find its way into the hands of foreign investors, because our indigenous investors are more excited about pumping their money into treasury bills and safely earning 9% per annum as against taking the risk to fund the future.

While I believe that Paystack was the Nigerian Startup exit we believed would be the Jesus Christ of exits and open the floodgates for all kinds of exits, that has not happened (yet), and most of the acquisitions we have seen since Paystack’s Oct 2020 announcement (excluding the Baxi Box acquisition by MFS Africa and Equinix reported US$320 million acquisition of MainOne ) have been largely small and insignificant (or at least not significant enough to gauge investor interest into that space).

Sparkle’s October 2021 US$3.1 million seed round was an all-star local investor round, but considering the fact that the founder was an ex-bank CEO and definitely has a good network, his kind of raise may not be accessible to all founders at seed level.

Side thought: I wonder who would be able to convince top Igbo billionaire traders and importers to get involved with Venture capital as a way to diversify their wealth.

POLICY DIRECTIONS

I do not believe in criticizing government policies without formulating some kind of solutions to them; I am fortunately not in the class of people who go around criticizing what others have built when they haven’t built anything themselves.

REMOTE TALENT CITIES

Create a serene environment that makes it convenient for these remote tech workers to do great work without being mistaken for internet fraudsters and harassed by members of the Nigerian Police Force.

Investing more into upskilling the general populace, starting from a Tertiary institution level, to make tech top of mind among young people and empowering them with the right tools (laptops, computers etc.) to create and learn while making this a policy priority is also key.

INCENTIVISING LOCAL CONTENT

While it would be exceptionally ill-informed to create legislation that discourages foreign investment to spur local investments, as the two should go hand in hand, creating legislation that encourages local investing into the tech space and creating meaningful incentives for doing so are key.

CONCLUSION

While people have referred to tech as the new oil, I believe that tech is beyond just the new oil, it is a unique opportunity to position young people to take their own future in their hands, create value, and ultimately create opportunities for themselves – things that oil in its entirety may not be well positioned to do.

Inspired By The Holy Spirit

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CCYI GLOBAL ACADEMY AI & Tech Trends

25 technologies that have changed the world

Explore foundational technology changes and how innovation shapes society and work.

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CCYI GLOBAL ACADEMY AI & Tech Trends

The 7 Main Ways Technology Impacts Your Daily Life

A practical digital awareness course for students, beginners, and general audiences.

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CCYI GLOBAL ACADEMY AI & Tech Trends

Technology In Our Life Today And How It Has Changed

A simple tech awareness training focused on modern life, transformation, and relevance.

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CCYI GLOBAL ACADEMY AI & Tech Trends

Data Is The New Oil -- And That's A Good Thing

Understand the value of data, analytics culture, and why data matters in modern work.

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CCYI GLOBAL ACADEMY Data Analytics

Data was, Analytics is, the New Oil

A practical thought-leadership training around analytics relevance and insight-driven work.

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CCYI GLOBAL ACADEMY AI & Tech Trends

TECHNOLOGY IS THE NEW OIL

A broad technology awareness teaching centered on digital opportunity and modern relevance.

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