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Word Processing Accessible to Everyone

posted Oct 24, 2011 2:57 AM by Jack Marrows   [ updated Oct 24, 2011 2:57 AM ]

Google Docs is an online productivity suite offering a word processor, spreadsheet and presentation application (Google, 2010). Despite being a web application, its functionality and user interface places it in direct competition with traditional desktop applications such as Microsoft Word and iWork.

Docs boasts many advantages over its desktop counterparts. Documents:
  • are easily shared, instantly updated and can be accessed by multiple people simultaneously, 
  • offer added functionality through application programming interfaces such asGoogle Lookup and 
  • are backed up on many servers to ensure they are not lost. 
To encourage collaboration and ease of access, all documents are searchable anduniquely addressable through a URL. Furthermore, Google Docs ensures files can be accessed from any location with an internet connection, without the need to install an application (Strickland, n.d.).

Web browsers are responsible for rendering Docs’ user interface (UI) and a majority of the heavy processing is done server-side. Most popular web browsers are supported (see below) and when cross-referenced with browser usage statistics we find that 88.3% of the world’s browsers can use Docs. HTML and Javascript is used to render the UI client-side. AJAX script creates regular links to the server instantly updating the document when it is edited (Strickland, n.d.).

Docs is subject to limitations common amongst rich internet applications (RIAs). Browser, broadband speed and reliability limitations means Docs can be slower to access data and respond to user input when compared to desktop applications. File storage is limited by the allowance offered by Google (currently 1gb free). Furthermore, security concerns are often raised surrounding documents being stored online. Finally, Docs functionality is limited compared to the likes of MS Word (Strickland, n.d.).

ThinkFree is a word processer, similar to Docs. However, before using the RIA users download a java applet, this allows the application to offer greater functionality. This may be an avenue Google may need to take in the future to compete with the functionality of desktop applications (Gottipati, 2007).

Google docs and ThinkFree represent only a couple of RIAs currently on the market, with many more available or in development. Compliance with HTML5 standards will require browsers to perform tasks traditionally performed by operating systems and RIAs may replace a majority of desktop applications. This shift will see these services (applications) offer consistent interfaces and functionality, to everyone, anywhere, at anytime without the need for high powered processors or installation.

With the global movement towards RIAs is there any applications that won’t work as an RIA?

References

 


ChatRoulette - Fail Fast, Scale Fast

posted Oct 24, 2011 2:54 AM by Jack Marrows

       
Watch This Blog Above

There wasn't too many Internet start-ups in the years following the 2000 dot com bust. However, ten years later the story is very different and it has nothing to do with venture capitalists re-entering the market rather lightweight, scalable business models that have been made possible through cheaper hardware, free open source code, free marketing and distribution and powerful programming languages reducing the need for large development teams (Graham, 2008).

Competitiveness in the global online market relies on developers delivering products before their competitors and when they arrive they need to be cheap. Speed is of the essence as Van Grove (2010) puts it "the company with its name in lights is the company that most often will prevail". She was speaking about a recent start up ChatRoulette which is a service where users have video conversations with random users around the world. ChatRoulette is a great example of a business which experienced growth at a viral level a scaled appropriately. 

How a company receives revenue is directly related to how much the consumer pays for the product. Using the example of ChatRoulette the service is provided for free and revenue is generated through advertising. Costs a kept low because the bandwidth of the video is not ran through the server (CamChat, 2010). ChatRoulette's founder is quoted saying he turns a profit through such advertisement. Watson(2010) has suggested it is important for such companies to diversify possible revenue streams because the advertising market cannot alone be relied on. 

Viral marketing is a cost effective method of promoting a new product and it doesn't happen by accident. Web pages such as YouTube ornew.com make it easy for users to share their content with their friends using buttons such as email or share this article. Considering our example of ChatRoulette Andrey Ternovskiy (founder) used internet forums to publicize his new service (Bidder, 2010). Word of mouth caused his service to go viral and move from 500 users per day to 1.5 million. To cater for the sudden growth in demand Ternovskiy relied on outsourcing.

Businesses can access server storage and bandwidth as a service meaning they only pay for what they use (see one services pricing below).Chatroulette used a similar cloud service which enabled them to quickly scale with demand when the service went viral. Ternovskiy also outsources development. He is currently employing four programmers from around the world who are working on improving the service. Outsourcing provides companies such as Chatroulette cost effective flexibility and allows them to focus on their core activities (Bucki, 2010). 

By utilizing re-usable code, viral marketing, multiple revenue sources and outsourcing hardware services can experience fast growth and make quick returns on relatively (to traditional models) small investments (O'Reilly, 2005). Chatroulette took 17 year old Ternovskiy 2 days and 2 nights to create and is now worth an estimated 10 million euros (Bidder, 2010). He focused on the core functionality, released quickly and without the need for venture capitalist . This new business model is known as lightweight and scalable and is profitable (Zawodny, 2004).

References


The Long Tail of Steam

posted Oct 24, 2011 2:52 AM by Jack Marrows   [ updated Nov 4, 2011 7:05 PM ]

 
New! Watch this blog on YouTube (see above)


Traditionally (before e-commerce), for a product to be successful it needed to have high-volume appeal. However, due to cost reduction and better targeted marketing (possible due to the Internet), money can be made selling to niche markets. Collectively niches can generate sales numbers similar to or better than traditional markets (Davis, 2005).

Steam is an online digital entertainment company that currently offers 1100 games for purchase, download and play from any computer (Steam, 2010).Compared to department stores that rarely offer more than 100 titles (usually the more popular ones), Steam’s range is simply larger and caters better to specific interests rather than current trends. Such business models are what Anderson referred to when he coined the term leveraging the long tail (Anderson, n.d.). 


Traditionally retailers only targeted the ‘head of a market’. However, collectively, products in the tail have the potential for similar or greater sales (Anderson, n.d.).

Companies such as Steam are able to cater to these niche markets by using new technologies to reduce costs (Wikipedia, 2010). Users enter, edit and update their personal information negating the need for some customer service employees. Steam users enter their own details from payment information through to their billing address (Steam, 2010). Self service extends to support, using the Steam forums and knowledge base gamers can ask their peers technical questions. This reduces the amount of money spent on support staff.

Products purchased from Steam are delivered virtually over the Internet in a digital form (Steam, 2010). In contrast to traditional business models, Steam does not pay for products until they have been sold to a customer. Furthermore, like other companies that trade in digital content there are few costs associated with a physical retail front or delivery.

Where the cost of inventory storage and distribution is low it becomes profitable to sell relatively unpopular products (Wikipedia, 2010). As a result vendors no longer need to put consumers in a one size fits all container (Anderson, n.d.).However, as the tail lengthens, consumers may find it hard to navigate to products of interest. Sites such as Steam use algorithmic data management to match supply and demand (O’Reilly, 2005). Based off pages a user visits, Steam recommends other games they might be interested in.

In summary, as Anderson (n.d.) suggests, People gravitate towards niches that are narrow interests (and everyone has them). Trends show that through using new technologies to reduce costs collectively, niche markets are as economically viable as their traditional high appeal counterparts. Businesses can now be built on hitting the growing niche market (Holter, 2006).

As for the future of Steam, I would like to see them follow the trend of the Apple App store and allow more independent developers to submit games for sale (this would lengthen their tail too).

References

Mindmeister: The Perpetual Beta Without the Beta Tag

posted Oct 24, 2011 2:51 AM by Jack Marrows   [ updated Nov 4, 2011 7:03 PM ]

“There's no final version. Nothing is static, everything is changing.”(Chitu, 2007). This is how Google defines the idea of perpetual beta, software as a part of an indefinite and continuous development cycle (Wikipedia, 2010). This is the new way of thinking about software development and one that gives young companies an advantage because they are not in the habit of the traditional software release cycle.

Mindmeister is a collaborative mind mapping tool that demonstrates the Web 2.0 principle of ‘Perpetual Beta’ and has seen success through these innovations.Meisterlabs has made operations a core competency. Their security page boasts 99.9% uptime and the highest data center standards (Mindmeister, 2010) and their product is updated many times a month. Such measures are essential for web 2.0 applications that are offered as services because they won’t perform well without regular maintenance (O’Reilly, 2005). 

Mindmeister user numbers

Meisterlabs subscribes to the benefits of releasing their software early and often.Through the change log it is clear that their service is updated multiple times per month. The improvements made however, are usually small and not always noticeable to users. 

Improvements are able to be regularly rolled out through utilizing light weight, flexible and cross-platform programming languages. O’Reilly (2005) refers to such examples as php, AJAX or ruby on rails as prime examples of code which can be written quickly to enable responsiveness. Mindmeister uses HTML, CSS and AJAX client side to allow their application to be rendered by most browsers. Ruby on wheels is used server side (Hollauf, 2010). 


Mindmeister uses beta testers who post reports on bugs they identify.Mindmeister aims to be responsive to these reports. O’Rielly(2005) identifies the use of shadow applications which can collect data on how an application being used. These should be planned and implemented with the main application.Based on the data (see below) Mindmeister is able to provide it can be assumed they use shadow applications. Other sites such as Google and Amazon have been know to engage a small percentage of their users in such tests before rolling out products. Testing is used trial new business strategies and application functionality. 


Web 2.0 means consumers are now purchasing services instead of artifacts.These services need to be maintained to respond to user requirements and through leaving an application in perpetual beta products see a faster time to market, reduced risk (less up front cost), a closer relationship to customers and the ability to quickly and effectively respond to real time data (O’Rielly, 2005). 

Question for Thought

Will we see the Beta label return to products when large versions are released? 


References



Location, Location, Web 2.0 - Foursquare is Built for Many Devices

posted Oct 24, 2011 2:48 AM by Jack Marrows   [ updated Nov 4, 2011 7:01 PM ]

Foursquare is a location based social networking game. Users ‘check in’ at locations announcing they have been there in competition to become mayor. People contribute through submitting their thoughts, locations, pictures, information about their current location and friends (Wikipedia, 2010).

Utilizing features only available on cell phones has heavily contributed to Foursquare’s functionality and success. Photos are taken using cameras, locations recorded using cell location services and the application relies on a phone’s connectivity (Foursquare, 2010). Combined, these features have created an application that couldn’t exist solely on a desktop computer or phone.

In the company of desktop computers, Foursquare can be used on iPhones, Android phones, Blackberrys, Windows mobiles and systems running webOS (Foursquare, 2010). An application is currently being developed for Nokia handsets (Guim, 2010). The way each platform is used to its strength and data is shared between devices and services, makes Foursquare a great example ofsoftware above the level of a device.

O’Reilly (2007) uses the example of iPhones being managed by iTunes to show how software can work in tandem to ensure a better user experience. Foursquare follows a similar model allowing users to manage their profiles online. This means users aren’t required to type or read great amounts of information into/from their phones. The mobile applications are then left to perform the task they are great at, being mobile and more so, immediatelyrecording users’ thoughts or pictures in the context of location, harvesting rich forms of media. 


Foursquare intends to generate revenue through advertising. Businesses can advertise directly, targeting people who are regularly nearby their businesses in the form of couponing (Carlson, 2009). Data generated by Foursquare has been used to create mash-up applications.

Fourwhere, a desktop web application, uses collected data to display comments made through Foursquare on a map. This is a great example of how Foursquare extends the usability and functionality of their data using the context of location (Sysomos, 2010). 


Notably, Foursquare encourages usage by allowing users to import friends from Facebook and Twitter. These services are also used to broadcast a users location.

In summary, Foursquare utilizes the strengths of many devices, including a broad range of phones and desktop computers, to harvest rich media in the context of location. Thinking forward we may soon see such applications incorporating the accelerometer and future phone features as they are released and patterns indicate this trend may lead to richer data being harvested without an increase in conscious human interaction.

Questions for thought

What other data types could be harvested without the need for human input?


References



Digg as a Platform

posted Oct 24, 2011 2:45 AM by Jack Marrows   [ updated Nov 4, 2011 7:04 PM ]

Digg is a web application which promotes popular web content based on user ratings. Recently the CEO of Digg announced that the company was now EBITDA profitable which is a significant step in the organisations’s history (Sykes, 2010).

To be competitive on the real time web, Perez noted (2010) that Digg needs to increase traffic to their site. Currently, it may take a few days for a link to reach Digg’s homepage where Twitter could spread the link in a matter of hours. Large scale uptake of Digg’s API will encourage such traffic.

Digg's API

The Digg Application Programming Interface (API) has been created to let developers and partners interact with Digg's platform. Digg’s API allows developers to integrate its core functionality and data into their own application or a website. Functionality includes digging activity, rating and commenting on links (Digg, 2010).

Developers extend the functionality of Digg through creating mashups. These are often add ons or third party applications that interact with other APIs to offer new functions. Digg supplies a wizard to offer less experienced web developers, the script they require to incorporate Digg content and functionality into their own site, further increasing traffic (See picture below). 


Developers can use the API to request very specific information about news stories, images and videos submitted to Digg (Digg, 2010). Applications request this information using REST and may use multiple response formats including XML and Javascript (full list).

Developer Support

Digg support their developers through offering Digglite (an open source platform to be modified or built on), extensive documentation about the API and an online community for discussion and support.

Terms of Service

Digg’s API is provided “as is” (Digg, 2010). Consequently, Digg isn’t legally required to support any failures however, if they didn’t offer support I suggest people would stop developing with the API. Furthermore, the TOS Implies developers can pay for Digg API support.

Conclusion

Digg provides developers with a strong platform and through assembly in innovation has seen massive scalable growth. The company makes money through offering advertising in a format that looks like Digg content (Gannes, 2010) and with increased traffic can continue to compete with social media sites and be profitable. Traffic can be secured through continued, stable management of the Digg API. Like all web 2.0 applications the more people who use it the better it gets.

Question for Thought

With so many mashups and third party applications being developed, will Digg still need a homepage in 10 years?

References

The Value of IMDB's Data

posted Oct 24, 2011 2:41 AM by Jack Marrows

'Data is the next intel inside' refers to data being more valuable than proprietary software licenses and the need for businesses to establish a data strategy. Many web applications offering low functionality, achieve great success through appropriately harvesting and managing data. Today I am going to analyze the role data management has played in the success of IMDB.com (Internet Movie Database).

IMDB hosts data about movies, actors, fictional characters, television episodes and video games. The company operates as a subsidiary of Amazon.com after a deal was struck in 1998. This allowed Amazon to advertise on the site and ensured the data would remain available to the army of volunteers who contributed to the site’s content (Wikipedia, 2010).

Data is submitted by public contributors, verified by paid managers and published on the site (Wikipedia, 2010). This data is then enriched through user interactions such as ratings, reviews and comments. Interestingly, unlike Facebook’s business model IMDB do not take ownership of the data users upload (IMDB, 2010). This may help to manifest trust and loyalty amongst its users.

Data hosted by IMDB has been accumulated since 1990 (IMDB.com, 2010) and is fundamental to the company’s revenue. The quantity of data hosted would be very expensive and time consuming to recreate which has secured the organization as a dominant player in the industry.

IMDB content can be used to power movie, television or celebrity projects and is marketed as authoritative and accurate information (IMDB, 2010). This data is sold as a subscription at $15000 per year as of March 1, 2010. Clatworthy (2010) suggests this will lead to no free application programming interfaces(APIs) being publicly available. Lack of APIs may have a walled garden effect and mean data is not extended beyond the limitations of IMDB’s functionality and data harvesting capabilities. In this linked article O’Reilly has outlined some applications an IMDB API could enable (O’Reilly, 2006).

In summary, IMDB illustrates how valuable data is however, O’reilly (2005) states
“we expect the rise of proprietary databases to result in a Free Data movement”
and this is already on the horizon with omdb.org(Open Movie Database) gaining momentum. If IMDB wants to stay competitive they may need to freely share their databases otherwise an open data solution may reel in its dominance.


References




How Isohunt.com Harvests the Collective Intelligence

posted Oct 24, 2011 2:37 AM by Jack Marrows   [ updated Oct 24, 2011 2:37 AM ]

The web 2.0 application being discussed this week is Isohunt.com which is a torrent hosting website, allowing its users to download nearly any type of media through a peer to peer network. Isohunt fits the definition of web 2.0 because, as more people use the service, it gets better (O’reilly T, 2005). As more people use Isohunt, download speeds (of peer to peer content) increase, as does the amount of content available.


Users make explicit contributions to isohunt by contributing to the help forum, adding comments about specific torrents, tagging media and forums, rating torrents’ quality and uploading new torrents. Despite the large number of people who use isohunt (20.66 million), only a small percentage (1.20 million) of these users are registered members who explicitly contribute (isohunt.com, 2010).


Members are motivated to contribute through community recognition. Notably, of the twenty-one commentswritten about a random torrent, five were thanking the person who uploaded it, this is a trend seen throughout the site.Isohunt also welcomes and recognizes its newest members on the homepage.


Isohunt implicitly collects data about the popularity of torrents through user interactions (user searches).This information is fed back into the system to display “Top Searches” on the homepage.


Other factors which may have contributed to Isohunt’s success include a transparent purpose for the service (which can be achieved through only three clicks), trusting its users which has lead to a self-regulating community (through the torrent rating system), developer APIs to offer further flexibility and folksonomy tagging which allows for more precise user navigation (Watson J, 2010).


When Isohunt was placed on the web, users decided the application’s purpose, currently it is sharing movies, tv shows and music, and how the application would be used. As the community’s values and needs change so will Isohunt assuming the freedoms which allowed its creation remain intact. The biggest threat to Isohunts flexibility in coming years may be media distributors who have filed law suits against the company and other Bitorrent services.


In summary, fundamentally, Isohunt is a site which allows users to share content and information. Without users it is worthless. Through harvesting collective intelligences, it has become an online community with valuable, meaningful content.


References:

isoHunt Inc. (2010) the BitTorrent & P2P search engine.

O'Reilly, Tim (2005) What is Web 2.0: Design Patterns and Business Models for the Next Generation of Software. O'Reilly Media.

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