Tech News

Tuesday, October 3, 2017

STARTUP ENTREPRENEUR: HOW DO YOU GET FUNDS FOR YOUR IDEAS?

"Fundraising is going to be the death of me!"
That's how every entrepreneur felt…


Any entrepreneur will tell you that raising money can be the toughest part of starting your own business. While the competition for funds gradually increase each day, your chances of securing investors significantly slims. Of course, finding an investor isn't impossible, but one of the best decisions a business owner can make is to find alternative means that will contribute to their financial success.

Online research found out that over 94% of new businesses fail during first year of startup operation (Source: Google.com), and the known common reason is Lack of funding. Money is the bloodline of any business. The long painstaking yet exciting journey from the idea to revenue generating business needs a fuel named capital. That’s why, at almost every stage of the business, entrepreneurs find themselves asking. How do I finance my startup?

Here is a comprehensive guide that will help you raise capital for your business. Some of these funding options are alternatives and have been carried out in different countries, including Nigeria.

1)  Bootstrapping your start-up business: I will start the funding myself

Self-funding, also known as bootstrapping, is an effective way of startup financing, especially when you are just starting your business. Early entrepreneurs often have trouble getting funding without first showing some traction and a plan for potential success. You can invest from your own savings or can get your family and friends to contribute. This will be easy to raise due to less formalities/compliances, plus less costs of raising. In most situations, family and friends are flexible with the interest rate.
Self-funding or bootstrapping should be considered as a first funding option because of its advantages.

When you have your own money, you are tied to business. On a later stage, investors consider this as a good point. But this is suitable only if the initial requirement is small. Some businesses need money right from the day-1 and for such businesses, bootstrapping may not be a good option.
Bootstrapping is also about stretching resources – both financial and otherwise – as far as they can.

2)  Crowdfunding as a Funding Option: I will get contributions and investment.

Crowdfunding is like taking a loan, pre-order, contribution or investments from more than one person at the same time.
This is how crowdfunding works – 

Put up a detailed description of his business on a crowdfunding platform.

Mention the goals of the business, plans for making a profit, how much funding you need and for what reasons, etc. and then consumers can read about the business and give money if they like the idea. Those giving money will make online pledges with the promise of pre-buying the product or giving a donation. Anyone can contribute money toward helping a business that they really believe in.
Some of the popular crowdfunding sites in US 
      Kickstarter
      RocketHub 
      Dreamfunded
      Onevest 
      GoFundMe

3)  Get Angel Investment in Your Start-up: Let me try angel.co for angel list investors, we have them in Lagos right?

Angel investors are individuals with surplus cash and a keen interest to invest in upcoming start-ups. They also work in groups of networks to collectively screen the proposals before investing. They can also offer mentoring or advice alongside capital.
Angel investors have helped to start up many prominent companies, including Google, Yahoo and Alibaba. This alternative form of investing generally occurs in a company’s early stages of growth, with investors expecting a up to 30% equity. They prefer to take more risks in investment for higher returns.
Angel Investment as a funding option has its shortcomings too. Angel investors invest lesser amounts than venture capitalists (covered in next point).







4) Get Venture Capital for Your Business: Let me see if companies like Uber can venture into my start-up…

This is where you make the big bets. Venture capitals are professionally managed funds who invest in companies that have huge potential. They usually invest in a business against equity and exit when there is an IPO or an acquisition. VCs provide expertise, mentorship and acts as a litmus test of where the organisation is going, evaluating the business from the sustainability and scalability point of view.
A venture capital investment may be appropriate for small businesses that are beyond the start-up phase and already generating revenues. Fast-growth companies like Flipkart, Uber, etc. with an exit strategy already in place can gain up to tens of millions of dollars that can be used to invest, network and grow their company quickly.
However, there are a few downsides to Venture Capitalists as a funding option. VCs have a short leash when it comes to company loyalty and often look to recover their investment within a three- to five-year time window. If you have a product that is taking longer than that to get to market, then venture-capital investors may not be very interested in you.

5) Get Funding From Business Incubators & Accelerators:

Early stage businesses can consider Incubator and Accelerator programs as a funding option. Found in almost every major city, these programs assist hundreds of start-up businesses every year.
Though used interchangeably, there are few fundamental differences between the two terms. Incubators are like a parent to a child, who nurtures the business providing shelter tools and training and network to a business.

6) Raise Funds by Winning Contests

An increase in the number of contests has tremendously helped to maximize the opportunities for fund raising. It encourages entrepreneurs with business ideas to set up their own businesses. In such competitions, you either have to build a product or prepare a business plan.
Winning these competitions can also get you some media coverage.
You need to make your project stand out in order to improve your success in these contests. You can either present your idea in person or pitch it through a business plan. It should be comprehensive enough to convince anyone that your idea is worth investing in.

7) Raise Money through Bank Loans

Normally, banks are the first place that entrepreneurs go when thinking about funding.
The bank provides two kinds of financing for businesses. One is working capital loan, and other is funding. Working Capital loan is the loan required to run one complete cycle of revenue generating operations, and the limit is usually decided by hypothecating stocks and debtors. Funding from bank would involve the usual process of sharing the business plan and the valuation details, along with the project report, based on which the loan is sanctioned.
Almost every bank in India offers SME finance through various programs. For instance, leading Indian banks – Bank Of BarodaHDFCICICI and Axis banks have more than 7-8 different options to offer collateral free business loans. Check out the respective bank sites for more details.

8) Get Business Loans from Microfinance Providers or NBFCs

What do you do when you can’t qualify for a bank loan? There is still an option. Microfinance is basically access of financial services to those who would not have access to conventional banking services. It is increasingly becoming popular for those whose requirements are limited and credit ratings not favoured by bank.
Similarly, NBFCs are Non-Banking Financial Corporations are corporations that provide Banking services without meeting legal requirement/definition of a bank.

9) Government Programs That Offer Start-up Capital

Even though experts generally agree that finance is not the biggest problem facing Nigerian entrepreneurs, many of them still believe that it still ranks among the first five.

Lagos State has N25 billion to support SMEs. The fund is divided into two categories; micro and small businesses. Under the micro, businesses can access up to N500, 000 loans with an interest rate of five percent and a tenor of one year. For the small business category, businesses can get up to N5 million for a tenor of three years. The criteria for accessing the funds include: membership of a business organisation, which will recommend the business for the loan; Lagos State tax receipt for at least six months, and Lagos state residency card. This takes three weeks for processing.

10) Quick Ways to Raise Money for Your Business

There are few more ways to raise funds for your business. However, these might not work for everyone. Still, check them out if you need quick funds.
Product Pre-sale: Selling your products before they launch is an often-overlooked and highly effective way to raise the money needed for financing your business. Remember how Apple & Samsung start pre-orders of their products well ahead of the official launch? It’s a great way to improve cash flow and prepare you for the consumer demand.
Selling Assets: This might sound like a tough step to take but it can help you meet your short term fund requirements. Once you overcome the crisis situation, you can again buy back the assets.

Credit Cards: Business credit cards are among the most readily available ways to finance a start-up and can be a quick way to get instant money. If you are a new business and don’t have a tons of expenses, you can use a credit card and keep paying the minimum payment. However, keep in mind that the interest rates and costs on the cards can build very quickly, and carrying that debt can be detrimental to a business owner’s credit.

Friday, September 29, 2017

BEST ONLINE PLATFORM TO LEARN CODING

So i have been looking for how to learn fundamentals in coding and i discovered that i could not get any platform to compare reviews, pro and cons for most of the online platforms. The task of finding the right one for me and my learning style. So i decided to compile the list of the most talked about on the internet and include some of the good topics i found on each of the platform. Hope it help few peeps trying to learn coding.


1. Codecademy

Codecademy is where most people who are new to coding get their start. If you haven’t been to the site yet…where have you been!? The platform revolves around interactive learning; that is, you read a little, type you code right into the browser, and see results immediately. 
Topics taught: HTML & CSS, JavaScript, PHP, Python, Ruby,
                                                                                                        

Codewars offers a fun way to learn coding. With a martial-arts theme, the program is based on challenges called “kata.” Complete them to earn honor and progress to higher ranks.
Topics taught: CoffeeScript, JavaScript, Python, Ruby, Java, Clojure, and Haskell

Large online course library, where classes are taught by real university professors. All courses are free of charge, but you have the option to pay for a “Coursera Verified Certificate” to prove course completion. These cost between $30 and $100 depending on the course.

Topics taught: Many (far beyond your basic coding/computer science)


An open-source higher education program governed by MIT and Harvard. Offers 107 courses under the “computer science” category, teaching various coding languages.
Topics taught: Java, C#, Python, and many more






Teaches coding first through an established curriculum (approx. 800 hours total), then by giving you hands-on experience working on projects for nonprofits.
Topics taught: HTML, CSS, JavaScript, Databases, DevTools, Node.js, and Angular.js

General Assembly’s free online learning platform. Entirely project-based. You build a “project” with each walk-through. They are one of the very few options that have a course on how to build a Tumblr theme from scratch. Read my review of it here.
Topics taught: HTML, CSS, JavaScript, responsive design


7. Khan Academy

Tons of subjects (as their front page says, “You can learn anything”), including many on computer programming. A few courses are offered for younger kids, too.
Topics taught: JS, HTML/CSS, SQL, much more




Competition to get into MIT may be stiff, but accessing their course material has no minimum SAT score. They maintain an online library of every subject they teach, with no account required for access.
Topics taught: Many





Made by the creators of Viking Code School—a premiere online coding bootcamp. The Odin Project is their free version. Check in for support from other students using the online chat group!
Topics taught: HTML, CSS, JavaScript & jQuery, Ruby programming, Ruby on Rails

Offers individual courses, as well as “nanodegrees” that train you for specific careers like front-end web developer or data analyst. Course materials are free, but nano-degrees require a tuition fee.
Topics taught: Many





Paid and free courses. Courses can be created by anyone, so make sure to read reviews. Coupons can also be easily found, too. Check out their development courses here.
Topics taught: Many





A compilation of video tutorials to help you walk through a process from start to finish. Good for learning “smaller” projects/tasks one at a time.
Topics taught: HTML5, CSS3, Javascript, Regex, JQuery




Their mission is to inspire people to become programmers by making code accessible, affordable and fun. With over 200 topics, anything you've been thinking about learning, you can find here.
Topics taught: Many




SoloLearn is a social platform where anyone can learn to code. It's different to other course providers because it's mobile-based – learn on the go, on any device. With bite-sized lessons, achievements to unlock and interactive quizzes, it's fun to learn and free to download.
Topics taught: Many


YOUTUBE CHANNELS

15. Coder’s Guide

Features numerous series of videos on coding topics: a 19-video series on JavaScript, another 19 videos on HTML/CSS, and more.
Topics taught: HTML, CSS, JavaScript, Bootstrap, WordPress, iOS and Android, and more
Subscribers: 35,870

16. DevTips

One of Travis Neilson’s YouTube channels. Focuses on web design and web development, with occasional live Q&As.
Topics taught: HTML, CSS, responsive design, development advice
Subscribers: 41,576

17. LearnCode.academy

My personal favorite. Web-development-focused videos made by Will Stern.

Topics taught: Sublime Text, Responsive Design, Node.js, Angular.js, Backbone.js, Deployment Strategies, and more
Subscribers: 92,758

18. thenewboston

Over 4,000 videos on a range of programming, game development, and design. Has almost one million subscribers.
Topics taught: Android development, C programming, MySQL, Python, and more.
Subscribers: 934,845

THE COMMAND LINE

Free video series created by Wes Bos. More at an intermediate level, so not for total newbies.









Free online book by Mark Bates. Very in-depth. Can purchase hard copy and screencasts.








Free online book by Zed Shaw. (My personal favorite command line resource.)








GIT AND GITHUB

28. Git Immersion

A guided tour to teach you the basics of Git. Set preferences and create your own projects.

29. Try Git

An interactive series of challenges to learn about and experiment with Git. Created by Code School.

HTML AND CSS

They also offer intermediate and advanced HTML tutorials.











For beginners. Broken down into four chapters: The web, HTML5, CSS3, and Sass. It’s like an online ebook, but under a Creative Commons Attribution-Non Commercial-ShareAlike 4.0 International License. So you can adapt it for your needs.



Free documentation on HTML and CSS (also JavaScript). Has tutorials for people of different levels, introductory to advanced.








Notable mention for JAVASCRIPT, PHYTON & RUBY

33. Eloquent Javascript

34. Javascript.com

35. JavaScript for Cats

36. NodeSchool

37. Learn JS

38. WordPress.tv

39. WPBeginner

40. A Byte of Python

41. LearnPython.org

42. Learn Python The Hard Way (Website)

44. Rails For Zombies

45. Rails Tutorial

46. RubyMonk

47. Try Ruby

Tuesday, October 18, 2016

LEARNING DATA VISUALIZATION - POWERBI

Dear All,

I started leaning different Data Visualization software couple of weeks ago starting with Tableau and now i am on PowerBI (Which i think i'm in love with right now). Hope to do great things with this and create a business service with the knowledge to help business owners understand and interpret huge junk of data they are unknowingly generating every single day.

Friday, June 26, 2015

All the data you need get about Nigeria

GNI per capita, Atlas method (current US$)

Follow the link http://data.worldbank.org/country/nigeria

Big data needs to be fast and smart.

DAUNTING DATA

Every minute, 48 hours of video are uploaded onto Youtube. 204 million e-mail messages are sent and 600 new websites generated. 600,000 pieces of content are shared on Facebook, and more than 100,000 tweets are sent. And that does not even begin to scratch the surface of data generation, which spans to sensors, medical records, corporate databases, and more.
As we record and generate a growing amount of data every millisecond, we als
o need to be able to understand this data just as quickly. From monitoring traffic to tracking epidemic spreads to trading stocks, time is of the essence. A few seconds’ delay in understanding information could cost not only funds, but also lives.

BIG DATA’S NOT A BUBBLE WAITING TO BURST

Though “Big Data” has been recently deemed an overhyped buzz word, it’s not going to go away any time soon. Information overload is a phenomenon and challenge we face now, and will inevitably continue to face, perhaps with increased severity, over the next decades. In fact, large-scale data analytics, predictive modeling, and visualization are increasingly crucial in order for companies in both high-tech and mainstream fields to survive. Big data capabilities are a need, not a want today.
“Big Data” is a broad term that encompasses a variety of angles. There are complex challenges within “Big Data” that must be prioritized and addressed – such as “Fast Data” and “Smart Data.”

SMART DATA

“Smart Data” means information that actually makes sense. It is the difference between seeing a long list of numbers referring to weekly sales vs. identifying the peaks and troughs in sales volume over time. Algorithms turn meaningless numbers into actionable insights. Smart data is data from which signals and patterns have been extracted by intelligent algorithms. Collecting large amounts of statistics and numbers bring little benefit if there is no layer of added intelligence.

IN-THE-MOMENT DECISIONS

By “Fast Data” we’re talking about as-it-happens information enabling real-time decision-making. A PR firm needs to know how people are talking about their clients’ brands in real-time in order to mitigate bad messages by nipping them in the bud. A few minutes too late and viral messages might be uncontainable. A retail company needs to know how their latest collection is selling as soon as it is released. Public health workers need to understand disease outbreaks in the moment so they can take action to curb the spread. A bank needs to stay abreast of geo-political and socio-economic situations to make the best investment decisions with a global-macro strategy. A logistics company needs to know how a public disaster or road diversion is affecting transport infrastructure so that they can react accordingly. The list goes on, but one thing is clear: Fast Data is crucial for modern enterprises, and businesses are now catching onto the real need for such data capabilities.

GO REAL-TIME OR GO OBSELETE

Fast data means real-time information, or the ability to gain insights from data as it is generated. It’s literally as things happen. Why is streaming data so hot at the moment? Because time-to-insight is increasingly critical and often plays a large role in smart, informed decision making.
In addition to the obvious business edge that a company gains from having exclusive knowledge to information about the present or even future, streaming data also comes with an infrastructure advantage.
With big data comes technical aspects to address, one of which is the costly and complex issue of data storage. But data storage is only required in cases where the data must be archived historically. More recently, as more and more real-time data is recorded with the onset of sensors, mobile phones, and social media platforms, on-the-fly streaming analysis is sufficient, and storing all of that data is unnecessary.

STREAMING VS. STORING & DATA’S EXPIRATION DATE

Historical data is useful for retroactive pattern detection, however there are many cases in which in-the-moment data analyses are more useful. Examples include quality control detection in manufacturing plants, weather monitoring, the spread of epidemics, traffic control, and more. You need to act based on information coming in by the second. Re-directing traffic around a new construction project or a large storm requires that you know the current traffic and weather situation, for example, rendering last week’s information useless.
When the kind of data you are interested in does not require archiving, or only selective archiving, then it does not make sense to accommodate for data storage infrastructure that would store all the data historically.
Imagine that you wanted to listen for negative tweets about Justin Bieber. You would either store historical tweets about the pop star, or analyze streaming tweets about him. Recording the entire history of Twitter just for this purpose would cost tens of thousands of dollars in server cost, not to mention physical RAM requirements to process the algorithms through this massive store of information.
It is crucial to know what kind of data you have and what you want to analyze from it in order to pick a flexible data analytics solution to suite your needs. Sometimes data needs to be analyzed from the stream, not stored. Do we need such massive cloud infrastructure when we do not need persistent data? Perhaps we need more non-persistent data infrastructures that allow for data that does not to be stored eternally.
Data’s Time-To-Live (TTL) can be set so that it expires after a specific length of time, taking the burden off your data storage capabilities. For example, sales data on your company from two years ago might be irrelevant to predicting sales for your company today. And that irrelevant, outdated data should be laid to rest in a timely manner. As compulsive hoarding is unnecessary and often a hindrance to people’s lifestyles, so is mindless data storage.

BEYOND BATCH PROCESSING

Aside from determining data life cycles, it is also important to think about how the data should be processed. Let’s look at the options for data processing, and the type of data appropriate for each.
Batch processing: Batch processing means that a series of non-interactive jobs are executed by the computer all at once. When referring to batch processing for data analysis, this means that you have to manually feed the data to the computer and then issue a series of commands that the computer then executes all at once. There is no interaction with the computer while the tasks are being performed. If you have a large amount of data to analyze, for instance, you can order the tasks in the evening and the computer will analyze the data overnight, delivering the results to you the following morning. The results of the data analysis are static and will not change if the original data sets change – that is unless a whole new series of commands for analysis are issued to the computer. An example is the way all credit card bills are processed by the credit card company at the end of each month.
Real-time data analytics: With real-time data analysis, you get updated results every time you query something. You get answers in near real-time with the most updated data up to the moment the query was sent out. Similar to batch processing, real-time analytics require that you send a “query” command to the computer, but the task is executed much more quickly, and the data store is automatically updated as new data comes in.
Streaming analytics: Unlike batch and real-time analyses, stream analytics means the computer automatically updates results about the data analysis as new pieces of data flow into the system. Every time a new piece of information is added, the signals are updated to account for this new data. Streaming analytics automatically provides as-it-occurs signals from incoming data without the need to manually query for anything.

REAL-TIME, DISTRIBUTED, FAULT-TOLERANT COMPUTATION

How can we process large amounts of real-time data in a seamless, secure, and reliable way?
One way to ensure reliability and reduce cost is with distributed computing. Instead of running algorithms on one machine, we run an algorithm across 30 to 50 machines. This distributes the processing power required and reduces the stress on each.
Fault-tolerant computing ensures that in a distributed network, should any of the computers fail, another computer will take over the botched computer’s job seamlessly and automatically. This guarantees that every piece of data is processed and analyzed, and that no information gets lost even in the case of a network or hardware break down.

IN SHORT

In an age when time to insight is critical across diverse industries, we need to cut time to insight down from weeks to seconds.
Traditional, analog data-gathering took months. Traffic police or doctors would jot down information about patients’ infections or drunk driving accidents, and these forms would then be mailed to a hub that would aggregate all this data. By the time all these details were put into one document, a month had passed since an outbreak of a new disease or a problem in driving behavior. Now that digital data is being rapidly aggregated, however, we are given the opportunity to make sense of this information just as quickly.
This requires analyzing millions of events per second against trained, learning algorithms that detect signals from large amounts of real, live data – much like rapidly fishing for needles in a haystack. In fact, it is like finding the needles the moment they are dropped into the haystack.
How is real-time data analysis useful? Applications range from detecting faulty products in a manufacturing line to sales forecasting to traffic monitoring, among many others. These next years will hail a golden age not for any old data, but for fast, smart data. A golden age for as-it-happens actionable insights.
Original post: http://www.augify.com/big-data-fast-data-smart-data/

READ: Workshop Report: Data Revolution in Africa

Following on from our update from the Regional Agenda Setting workshop in Addis Ababa, here is our extended workshop report, outlining our open data roadmap in Africa. We’re excited that open data is becoming a critical element of the Africa Data Consensus and is already being discussed in the Implementation Roadmap meetings in Lagos and OGP Regional Civil Society meetings. Some of the key requirements identified in order for open data to have a transformative impact in Africa include the need for political goodwill, the role of intermediaries and moving beyond open data portals to understanding the real use and impact and use of open data.  Building on this, we will be rolling out our Africa research and architecture for the Open Data Labs Africa by the end of June 2015. Thanks to all those who were a part of this in Addis and beyond. If you have comments or questions, please contact our Open Data Research Lead — Savita Bailur.

Source: http://webfoundation.org

East Africa Data Centre announces KSH1BN expansion on galloping demand for secure data space

East Africa Data Centre, the only Tier 3 secure electronic data centre in east and central Africa, has today announced a Ksh1bn expansion to meet rack space demand that initially forced it to ration allocations to customers. Unveiling the second and third floors of the data centre, the East Africa Data Centre announced that the centre would now be extended to four floors, totalling 2000 sq. m.
The data centre, which now houses Kenya’s Internet Exchange Point, has been credited by the global Internet Society as a key factor in driving down internet prices in Kenya, to among the lowest in Africa. The East Africa Data Centre hosts the Points of Presence for global carriers with international coverage, including Tata, Level3, Seacom, and Liquid Telecom, as well as carriers owning fibre network infrastructure, including Safaricom, JamiiTelcom, Access Kenya, Orange Telkom Kenya Ltd, Wananchi Online, and Frontier Optical Network.
It is further playing a key role in enabling financial and corporate organisations to hold data securely, protecting them in the event of cyber crime and offering 24/7 secure housing for their data and back-ups.
“The East Africa Data Centre has transformed how data traffic is handled in the region. By providing a central point for interconnect services, it has reduced latency, improved data services, reduced costs and made it easier to transfer data across networks,” said Dan Kwach, General Manager East Africa Data Centre.
“By keeping African data in Africa we continue to help reduce the costs of internet access while creating an environment that encourages innovation and entrepreneurial culture in the field of ICT and local businesses,” said Mr Kwach.
Within six months of starting, it had fully sold Phase 1 of the centre’s rack space – which houses the servers holding data – amounting to the entire first floor. It has now opened another 500 sq m floor, which is already 90 per cent occupied, and with the third floor already prepped for occupancy, East Africa Data Centre unveiled plans to expand to the fourth floor immediately, to cater for demand.
“We had to ration the rack space when we were selling the first floor due to huge demand, until we could get the second floor built and operational and the third floor ready to go quickly. The second floor took roughly 8 months, but now we have the space ready, we can move much quicker and customers can buy the amount they want,” said Mr Kwach. The accelerated expansion in EADC’s rack space has benefitted the local engineering and construction services sector, with all of the contractors for the expansion sourced locally. It also comes amid growing concern for data security. In late 2013, Kenya’s Information, Communication and Technology Cabinet Secretary, Fred Matiangi, raised the flag on estimates that the country would lose an estimated KSh 2 billion (about US$23 million) through cyber crime, with the number of cyber attacks detected in Kenyan cyberspace more than doubling last year to 5.4m attacks, compared to 2.6m in 2012. Uganda, which last year reported a surge in economic crimes, up 14.9 per cent, singled out cybercrime, principally in mobile money and Automated Teller Machine (ATM) fraud, as responsible for the loss of about USH1.5bn (Ksh51m), while Bank of Tanzania (BoT) statistics indicate TZS 1.3bn (Ksh69.5) has been stolen across the country through cyber fraud, according to the Kenya Cyber Security Report 2014.
Financial institutions are also introducing potentially vulnerable web and mobile applications, with a recent study that sampled 33 online banking portals finding that only 2 of the 33 portals sampled had adequate online security deployed on their web application. As a result, many financial institutions are now looking into EADC to store their data, reported the Kenya Cyber Security Report 2014.
“Banks and financial institutions are the second largest type of occupant at the East Africa Data Centre, at about 30 per cent. With about 43 banks in Kenya, the demand for highly secure stable environments like ours, for use as disaster recovery, high-availability, or primary sites, has been rising,” said Mr Kwach.
East Africa Data Centre recently signed a collaboration agreement with Teraco Data Environments in South Africa to share synergies between the two Data Centre Operators and improve EADC’s efficiency and maximise on available investment opportunities.

About East Africa Data Centre

East Africa Data Centre, a carrier-neutral data centre in Nairobi, is the largest and most sophisticated in East Africa, offering secure and reliable space for dedicated hosting, interconnect services, collocation, disaster recovery, network-based services, applications and cloud services. A Tier 3 data centre, built to international standards, it is the only purpose-built data centre in East Africa.
East Africa Data Centre is an independent company within The Liquid Telecom Group with a dedicated management team.