Wednesday, September 30, 2015

Apple Music Streaming Into China

Taken from Bloomberg article's
"Apple Expands Music Streaming Service Into China for First Time"

by Edwin Chan, Bloomberg
September 30, 2015

Apple Music, the iPhone maker’s answer to streaming services Spotify and Pandora, will kick off with a three-month trial before charging 10 yuan ($1.57) a month.

☆ Company wants content curated for its second-largest market
☆ Movies and books on iTunes now also available for China

Apple Inc. began offering its three-month-old music streaming service as well as movies and electronic books in China, promising a library of content geared toward its most important market outside of the U.S.

Apple Music, will kick off with a three-month trial before charging 10 yuan ($1.57) a month, the Cupertino, California-based company said in a statement. That’s a fraction of the $10 to $14 the company charges in the U.S. In China, the service will carry regional artists like Eason Chan and Li Ronghao in addition to international stars like Taylor Swift.

Users there can now also rent Chinese- and English-language movies from 5 yuan a piece, and books including Stephenie Meyer’s “Twilight” series and local titles such as Zheng Chunhua’s “Big Head Son & Little Head Dad.”

Customers in China with a foreign Apple ID, such as from the U.S., have been able to download music from the company’s online store. Songs and albums remain off-limits to iPhone and iPad users with a local Chinese Apple ID.

“For the first time, customers in China will have access to Apple’s entertainment ecosystem with music, movies and books right at their fingertips”

China Growth

Apple Music will compete in China with numerous local services offering free access to songs.

Apple sold a record 13 million iPhones during the debut weekend of its latest handsets, boosted by launch-day availability in China, which now accounts for more than a quarter of its revenue. Executives have expressed confidence in the market even as the world’s second-largest economy faces its slowest pace of growth in a quarter-century.

The company is rushing to double the number of retail stores in the country by the middle of next year. Apple said Wednesday it remains focused also on tailoring its online services for the world’s largest population of smartphone users.

“One of the top requests has been more great content and we’re thrilled to bring music, movies and books to China, curated by a local team of experts,”.

Thursday, September 10, 2015

Use Split-Tests to Optimize Product


When developing and improving a product, start-ups have to distinguish between value and waste: they must find out which features are valuable for their customers and which aren’t.

Valuable features are those that help the company attract more customers or increase its revenue.

Features that don’t do either are wasteful – even if the founders or engineers think they’re the greatest thing ever.

A clever way of distinguishing between value and waste is split-testing. Whenever you consider adding a feature or changing an existing one, create two versions of your product: one with the new feature and one without it. By testing both versions, you’ll soon see which one is more appealing to customers.

The first companies that used this technique were mail-order businesses. For example, to find out whether a new catalogue layout would increase orders, they printed two versions of it: 50% of their customers got the old design, and 50% got a new one. The catalogues were identical in every other way and the customers were split randomly, so the companies simply had to compare how many orders were placed by each group. These data answered the question of whether the new design was an improvement or not.

In the same spirit, any start-up can test every possible change before actually implementing it. Want to know whether your website works better in red than in blue? Why not create two test versions of it and track customer click-rates for a couple of days?

Any change you wish to make to your product should be tested with this semi-scientific approach before you actually implement it.

Build-Measure-Learn Loop

Build, measure, learn – as fast and as often as possible.

In the search for a sustainable business model, the top priority is learning: every start-up has to learn which products to build and how to earn money from them.

This can’t happen if you’re out of touch with the real world. You need to get out there, show your product to customers, gather their feedback and then learn from it.

To facilitate this, set up so-called BML loops. BML signifies the cycle build-measure-learn:

First you build a simple version of your product, like a prototype or a smoke-test.

Second, you take this product to its actual market and gather customer feedback. By collecting quantitative data from this experiment, you measure interest in the product; for instance, how many people clicked the purchase button and tried to buy shoes from your fake web shop.

When measuring, make sure you don’t just look at the numbers but also talk to your customers. If you want to understand your data, you should learn about the individual impressions and opinions of your customers as well.

What you learn in one cycle should then be used to conceptualize and build a new, optimized product, which brings you into the next BML cycle. This process is then repeated until you find a sustainable business model.

It’s important to be fast here. Each BML loop helps you improve your product and gives you valuable insights about what your customers want. The more loops you can go through, the more likely it is you will find your sustainable business model.

Develop a Minimal Viable Product

Develop a minimal viable product to test your idea in the market.

Many founders spend too much time working on a product in isolation, without knowing whether there are actually any real customers for the product.

If you want to create a sustainable business, you must find out as quickly as possible whether there is any demand for your product.

The quickest and easiest way to get real-world customer feedback on your idea is to create a minimal version of the product. This minimal viable product (MVP) should be as simple as possible and should contain only what is needed to give the customers a realistic experience of how your product would work – just enough to draw useful feedback from them.

The MVP can be a simple bare-bones prototype of your product, or even a smoke test: pretend to sell a fake product.

Take the founders of Dropbox. They knew that developing their idea into a product would take a lot of time, so they chose a simple and creative way to validate their hypothesis that there was demand for a new and user-friendly data-synchronising service: they created a video presenting their idea.

The founders had assumed there was a demand for such a product, and they were right: within one night, 75,000 people had signed up to their waiting list, and the Dropbox team concluded they were on the right track. Thus, they could confidently start developing the actual product.

Similarly, every start-up should first find out whether there’s an actual demand for their product before they start building it.

Test Your Value and Growth Hypotheses

The leap-of-faith assumptions: test your value and growth hypotheses.

Part of developing a product is the leap of faith: a founder believes in the future success of the product she wants to create, even though there’s no proof for this yet.

To quickly close the gap between believing and knowing, every founder should formulate and test two fundamental assumptions:

The value hypothesis assumes that a product will deliver value to its customers, i.e. that early adopters will find and embrace the product.

The growth hypothesis states that the product will not only appeal to the small group of early adopters but will also find a bigger market later.

Both assumptions must be tested as soon as possible. Only if they can be validated is it worth investing the time and effort into developing the product.

Take a look at Facebook: they managed to validate both the value and growth hypothesis at a very early stage when the social network had only a few users.

First of all, the registered users were very active in the network. More than half logged in at least once a day – impressive proof for the value hypothesis.

Second, Facebook had sensational user-activation rates, meaning it gained market penetration very quickly. In colleges where Facebook had been introduced, three quarters of all students signed up within one month – without the company having spent a penny on marketing. Thus, the growth hypothesis was proven as well.

Such impressive data made investors strong believers in the future success of this new social network, leading them to invest millions at a very early stage.

Validated Learning

Find your sustainable business model through validated learning.

In order to find a sustainable business model, start-ups have to discover what their customers want and how to make money from it. They have to find the right product for the right people and understand how to sell it to them.

This doesn’t mean coming up with a great plan from the start. Rather, it requires a process of constant learning: ideally validated learning, meaning learning through a scientific approach.

To begin the process of validated learning, you must come up with hypotheses about whether and how certain products will be successful in a given market. For example, “US customers will be willing to purchase shoes online.”

Such fundamental hypotheses have to be tested, and only if they are validated by talking to customers can the start-up know it’s on the right track towards finding a sustainable business model.

Don’t use questionnaires or fictional customers though; instead, talk to real customers in a realistic environment. The most reliable way to find out whether people will buy your product is to offer it to them and see how they respond.

Take the success story of Zappos: it started with the simple hypothesis that people would be willing to buy shoes online. To test this idea, the company took photographs of shoes in shoe stores and displayed the photographs in a fake web shop. When people actually tried to buy the shoes online, Zappos saw that their hypothesis was valid.

Through this approach, the foundation was laid for one of the most successful business models of the last decade.

Wednesday, September 09, 2015

The Goal for Start-Up

The purpose and main goal of a start-up is to find a sustainable and profitable business model.

The  company need to be more than just a temporary pet project that will sooner or later dwindle and die, you must find a way to acquire customers and earn money by serving them including find something that people do want and will be willing to pay for.

Thus, the sustainable business model is the one that works today and can work in the future as well.

The main responsibility of any start-up’s management should be to focus the whole company, including everything being done on a day-to-day basis, on reaching this one main goal. The faster a start-up finds its way to a sustainable business model, the likelier it is to succeed.

Start-ups need to be managed differently


Taken from blinks insight of "The Lean Startup" 

Traditional management consists of two components:

- developing plans,
- overseeing the people executing them.

A manager creates a plan, sets milestones, and delegates tasks to her employees, guiding them to ensure they hit their milestones on time.

This management strategy works in established companies that have been around long enough to know what worked in the past and therefore what could work in the future.

Start-ups are different though: They can’t predict their own future because they have no past, don’t know what their customers want, and don’t know which approaches are best for finding customers or creating a sustainable business. To find out what could work, they must stay flexible. To adopt fixed plans with set milestones or rely on long-term market forecasts would be to delude themselves.

Nevertheless, many founders do use corporate-management tools such as milestone plans and long-term market forecasts. They act as if they are preparing a space rocket for liftoff, tinkering with it for years and only launching it when they think it’s perfect. In reality, managing a start-up is more like driving a jeep across unstable and shifting terrain, where the founders must constantly change direction and respond quickly to unexpected obstacles and dead ends.

However, start-ups shouldn’t abandon planning completely to adopt a chaotic “just do it” mindset either. Driving chaotically is not going to get you anywhere; someone has to be at the wheel to make intelligent decisions about which way to go.

A start-up’s management team should try to maintain an overview of their situation and keep their company steered toward its overall goal. Hence, they need to find the right metrics to measure whether their journey is leading them in the right direction.

Sunday, August 02, 2015

Digital's McKinsey

Taken from McKinsey journal

What ‘digital’ really means

July 2015 by Karel Dörner and David Edelman

Companies today are rushing headlong to become more digital. But what does digital really mean?

For some executives, it’s about :
- Technology,
- A new way of engaging with customers, or
- An entirely new way of doing business.

Such diverse perspectives often trip up leadership teams because they reflect a lack of alignment and common vision about where the business needs to go.

Digital should be seen less as a thing and more a way of doing things, and it can broken down into three attributes:
- Creating value at the new frontiers of the business world,
- Creating value in the processes that execute a vision of customer experiences, and
- Building foundational capabilities that support the entire structure.

Creating value at new frontiers

Being digital requires being open to reexamining your entire way of doing business and understanding where the new frontiers of value are. Capturing new frontiers may be about developing entirely new businesses in adjacent categories, or it may be about identifying and going after new value pools in existing sectors.

Unlocking value from emerging growth sectors requires a commitment to understanding the implications of developments in the marketplace and evaluating how they may present opportunities or threats. The IoT, for example, is starting to open opportunities for disrupters to use unprecedented levels of data precision to identify flaws in existing value chains. In the automotive industry, cars connected to the outside world have expanded the frontiers for self-navigation and in-car entertainment. In the logistics industry, the use of sensors, big data, and analytics has enabled companies to improve the efficiency of their supply-chain operations.

Being digital means being closely attuned to how customer decision journeys are evolving in the broadest sense. That means understanding how customer behaviors and expectations are developing inside and outside your business, as well as outside your sector, which is crucial to getting ahead of trends that can deliver or destroy value.

Creating value in core businesses

Rethinking how to use new capabilities to improve how customers are served, with understanding each step of a customer’s purchasing journey—regardless of channel—and thinking about how digital capabilities can design and deliver the best possible experience. Developing the flexibility, efficiency, and speed to deliver the right product efficiently in a way the customer wants, or focus on delivering insights about customers that in turn drive marketing and sales decisions.

Digital is about implementing a cyclical dynamic where processes and capabilities are constantly evolving based on inputs from the customer, fostering ongoing product or service loyalty. Making this happen requires an interconnected set of four core capabilities:

Proactive decision making. Relevance is the currency of the digital age. This requires making decisions, based on intelligence, that deliver content and experiences that are personalized and relevant to the customer. Remembering customer preferences is a basic example of this capability, but it also extends to personalizing and optimizing the next step in the customer’s journey. Blend data from multiple channels into one view of what customers are doing and what happens as a result. Analytics and intelligence provide near-real-time insights into customer needs and behaviors that then determine the types of messages and offers to deliver to the customer.

Contextual interactivity.  Analyzing how a consumer is interacting with a brand and modifying those interactions to improve the customer experience. The content and experience may adapt as a customer shifts from a mobile phone to a laptop or from evaluating a brand to making a purchasing decision. The rising number of customer interactions generates a stream of intelligence that allows brands to make better decisions about what their customers want. And the rapid rise of wearable tech and the IoT represents the latest wave of touchpoints that will enable companies to blend digital and physical experiences even more.

Real-time automation. Automation of customer interactions can boost the number of self-service options that help resolve problems quickly, personalize communications to be more relevant, and deliver consistent customer journeys no matter the channel, time, or device. Automating the supply chain and core business processes can drive down costs, providing more flexibility to respond to and anticipate customer demand.

Journey-focused innovation. Serving customers well gives companies permission to be innovative in how they interact with and sell to them.  Expanding into new businesses and services will extend the relationship with the customer. These innovations in turn fuel more interactions, create more information, and increase the value of the customer-brand relationship.

Building foundational capabilities

The technological and organizational processes that allow an enterprise to be agile and fast. This foundation is made up of two elements:

Mind-sets. Use data to make better and faster decisions, devolving decision making to smaller teams, and develop much more iterative and rapid ways of doing things. Thinking in this way should incorporate a broad swath of how companies operate, including creatively partnering with external companies to extend necessary capabilities. A digital mind-set institutionalizes cross-functional collaboration, flattens hierarchies, and builds environments to encourage the generation of new ideas. Incentives and metrics are developed to support such decision-making agility.

System and data architecture. Digital in the context of IT is focused on creating a two-part environment that decouples legacy systems from those that support fast-moving, often customer-facing interactions. A key feature of digitized IT is the commitment to building networks that connect devices, objects, and people. This approach is embodied in a continuous-delivery model where cross-functional IT teams automate systems and optimize processes to be able to release and iterate on software quickly.

Digital is about unlocking growth now. How companies might interpret or act on that definition will vary, but having a clear understanding of what digital means allows business leaders to develop a shared vision of how it can be used to capture value.

Friday, June 19, 2015

Cloud services are a good business but takes time to get the payoff

Taken from www.itnews.com

Oracle profit slides 24 percent as customers move to the cloud

Jun 17, 2015 | IDG News Service

The company reported its first overall sales decline in more than two years

by James Niccolai

Oracle has reported a sharp drop in profit for the quarter just ended, with customers spending more on its cloud services but less on software that runs in their own data centers.

Chairman Larry Ellison portrayed the shift as a positive one and said Oracle can make more money selling cloud services over the long term. But the change didn't seem to help it much last quarter, when its results were also battered by the strong U.S. dollar.

Oracle's cloud business seems to be growing strongly. Revenue from software sold as a service climbed 29 percent from this time last year, to $416 million, the company said. But that's a relatively small part of Oracle's business, and it wasn't enough to offset mediocre performance elsewhere.

Sales of new software licenses, which account for roughly a third of Oracle's overall revenue, declined 17 percent from this time last year, and the fourth quarter is usually the strongest of its fiscal year, because sales teams are pushing hard to meet their quotas.

Revenue from license updates and support fared better but was still flat from last year because of the currency effects.

On a call to discuss the results, Ellison said cloud services are a good business for Oracle to be in, but that it takes time to get the payoff.

For example, he said, if a customer buys $1 million in new software licenses, Oracle gets $1 million from the sale immediately, then collects $3 million in maintenance and support fees over the next 10 years.

With cloud services, if a customer signs up for a $1 million subscription, Oracle gets no money up front, but it collects $1 million a year for the next 10 years. "It's a much better business for us," Ellison said.

That's the theory, at least, though it depends on the customer continuing their contract for the full 10 years.

And the cloud sale has a short-term hit on profitability. That's because, although Oracle doesn't book the revenue immediately, it does still have to pay commission fees and other costs.

"This shift [to cloud] has the effect of lowering near-term [earnings per share], but over time will increase it significantly," said CEO Safra Catz.

Cloud services are a highly profitable business, according to Ellison. "This is gonna shock you," he said, but the profit margins on cloud software sales are about the same as those for selling software licenses and support. "It's stunningly profitable," he said.

He also went to great pains to explain that Oracle is growing faster in cloud applications than rivals Salesforce.com and Workday -- although that might not be surprising, since for Oracle it's a newer business. "Clearly, our cloud business has entered hyper-growth," Ellison said.

Oracle's total revenue for the quarter, which ended May 31, was $10.7 billion, the company said. That was down 5 percent from a year earlier and below the $10.9 billion that financial analysts had expected, according to Thomson Reuters.

Net income was $2.8 billion, down 24 percent from a year earlier. Excluding certain one-time items, earnings per share was $0.78, well short of the analyst forecast of $0.86.

Oracle's business has shown signs of slowing -- its sales last quarter were flat from the year before -- but this is the first quarter in more than two years that its overall sales have dropped.

That was largely due to the strengthening dollar, which can make products from U.S. companies more expensive to buy overseas. Oracle said its total revenue would have increased 3 percent without the currency impact.

But even allowing for the currency effect, sales of new software licenses were down 10 percent. Revenue from license updates and support fees climbed 8 percent on that basis, and total hardware revenue climbed 5 percent.

Sunday, May 24, 2015

IoT market in 2015

Taken from www.machinetomachinemagazine.com article

IDC: Worldwide IoT Market to Grow 19% in 2015
M2M MAGAZINE+ | May 19, 2015

Spending projections include 25 use cases to provide insight on immediate opportunities for IoT technologies

The worldwide Internet of Things (IoT) market is expected to grow 19% in 2015, led by digital signage, according to a new forecast from International Data Corporation (IDC). The second annual forecast focuses on growing IoT use in 11 vertical industries, including consumer, retail, healthcare, government, manufacturing, transportation, and other industries, while also sizing IoT opportunities for 25 vertical-specific use cases.

Unlike any other research in the industry, the new forecast specifically highlights worldwide spending across IoT use cases, including smart appliances, automated public transit, remote health monitoring, digital signage, connected vehicles, and air traffic monitoring, among others. The comprehensive spending model was designed to help vendors clearly understand the industry-specific opportunity for IoT technologies today.

Other key findings from the new forecast include:
  • The IoT market in manufacturing operations will grow from $42.2 billion in 2013 to $98.8 billion in 2018, a five-year compound annual growth rate (CAGR) of 18.6%. Growth will be driven by ongoing efforts to increase efficiency and link islands of automation.
  • Digital signage use in retail outlets will grow from $6.0 billion in 2013 to $27.5 billion in 2018, a 35.7% five-year CAGR, as retailers continue to digitize the consumer experience.
  • The hottest US market is in connected vehicles, with 34.8% year-over-year growth anticipated in 2015.
According to Bob Kraus, Senior Research Analyst, Global Technology and Industry Research Organization, IDC, “Working in concert with both IDC’s technology and regional analysts, we have built IoT market models for key vertical-specific use cases from the ground up. This forecast is an invaluable tool for those business leaders evaluating the vendor opportunities in IoT for a 12-layer technology stack, which includes modules/sensors, software, installation/ongoing services, and connectivity.”

A forecast update is planned for November 2015 and will evaluate additional vertical-specific use cases, including smart agriculture.



IoT Analytics Market to Reach $5.7 Billion in 2015
M2M MAGAZINE+ | January 14, 2015

A market analysis by ABI Research finds that the revenues from integrating, storing, analyzing, and presenting Internet of Things (IoT) data will reach US$5.7 billion in 2015. In the next 5 years, the market will expand dramatically, to an extent that in 2020 it is estimated to account for nearly one-third of all big data and analytics revenues.

Principal analyst Aapo Markkanen says, “About 60% of this year’s revenues come from three key areas: energy management, security management, as well as monitoring and status applications. Within these segments, we can generally find analytic applications that reduce the cost base of asset-intensive operations (condition-based maintenance), automate routine workflows (surveillance), or even enable new business models (usage-based insurance). These early growth drivers also have in common the fact that the economics of IoT connectivity align easily enough with the requirements of analytic modelling.”

Making sense of IoT-kind data from machines and sensors data comes often with its unique challenges, such as the need for time-series databases in storage, and for relatively deep domain expertise in analysis. These kinds of factors create a certain mismatch with many leading technologies that have been designed for more traditional, “digital-first” analytic environments. This, in turn, is attracting a flurry of startup-level activity aimed at filling the gaps.

According to practice director Dan Shey, “What is remarkable about this market is how much of the innovation actually comes from startups. Take, for instance, ParStream’s geo-distributed architecture, CyberLightning’s 3D visualization technology, or Peaxy’s work on software-defined data access. All three address some of the problems that usually come up in discussions with end-users. Meanwhile, of the more incumbent vendors likes of Datawatch, Informatica, Software AG, and Splunk seem well-positioned to seize the IoT opportunity.”

Top 10 Predictions for IoT and M2M in 2015
M2M MAGAZINE+ | January 2, 2015

Every year Machina Research makes a set of predictions for what will happen in the world of IoT/M2M. Here are Machina Researh’s Top 10 Predictions for IoT and M2M in 2015:

  1. Enterprises will get cracking in IoT. We will see a lot more commercial deployments of enterprise IoT. There’s a huge amount more interest from a diverse range of enterprises. Until now it’s been exploratory. In 2015 it becomes meaningful. 
  2. More productized offerings. There will be many more platforms and solutions enabling out-of-the-box connected devices. This area has been somewhat overlooked up until now, with everybody focusing on industrial/ application type platforms. Just enabling lots of ‘same’ devices to communicate may be less glamorous, but the numbers involved are huge.
  3. More M&A. During 2014 we’ve seen a lot of interesting M&A, not least PTC acquiring Axeda, in addition to ThingWorx, as well as recent deals that saw Kore buy RACO Wireless, and Sierra Wireless buy Maingate. 2015 should see more of the same, particularly involving two types of companies. Data analytics providers will be increasingly appealing as companies seek to broaden their service offerings to include analytics capabilities. Meanwhile full service providers such as Numerex, Aeris Communications and Raco/Kore will become increasingly attractive acquisition targets. As the primary full-service M2M solution providers in the space, these mid-tier companies provide a crucial service path to enterprises looking to build and design IoT and M2M projects. 2015 will be the year of consolidation for these agile companies.
  4. Breakthroughs in smart city service deployments. 2015 will be the year when we’ll see some real commercial success stories in smart cities, especially from services that save money. Street lighting is a good example because electricity consumption is a major part of the OPEX for the city. Machina Research’s new Smart Cities Research Stream delves into this area in much more detail.
  5. Major OS vendors disrupt the connected car market. 2015 will be the year that one of the major OS players makes a disruptive intervention in the connected car market through an innovative after-market device and platform play. There are a number of interesting start-ups in this area with OBD-based propositions that are sound but sub-scale. Several look ripe for acquisition or emulation by the big boys.
  6. Mobile phone as the gateway for IoT. Machina Research had already highlighted the possibility back in the beginning of 2014 that the smartphone would be integral to IoT, when for example looking at iBeacons and wearables. What will become even more interesting is when data analytics uses the mobile phone as one of many processing platforms for geo-distributed analytics (which it will be able to, given the processors and memory).
  7. A year for avatars. This will be a very good year for avatars – digital representations of things that are open to standards-based Web APIs, thereby obviating the need for app developers to engage with connectivity protocols. Machina Research published a Research Note on one such firm, Evrythng, last year.
  8. A crunch on regulation. Machina Research launched a service looking specifically at M2M & IoT Regulation in 2014 and it’s a critical area in 2015. Regulators are set to focus much more attention on M2M and IoT. This is both good and bad. There is a quicksand of regulatory uncertainty threatening to hold back M2M deployments, in particular around permanent roaming. We’ll also see more regulators wanting to adopt a nurturing approach to IoT. Machina Research will host a webinar on M2M and IoT Regulation on 20th January.
  9. Segmenting for success and identifying role in IoT. It’s a function of the maturity of the sector that companies throughout the M2M and IoT value chain will increasingly realise that they can’t sell everything to everyone. Everyone selling into this sector will become more discriminating. This means all players will need to better define their role in the Internet of Things.
  10. Privacy and security. Issues of privacy and security reach the top of the agenda. The complexity of IoT solutions will require a fresh way of thinking about security. Requirements will vary massively depending on the application, while the number of moving parts in any solution mean that there are a lot of potential weak links. Security will need to be considered on an end-to-end basis. Furthermore M2M and, particularly, IoT involve the widespread sharing of data. Understanding the dynamic and implications of all of that data sharing will be critical.


IDC Report: Worldwide IoT Predictions for 2015
M2M MAGAZINE+ | December 4, 2014

Within the next five years, more than 90% of all IoT data will be hosted on service provider platforms as cloud computing reduces the complexity of supporting IoT “Data Blending

The predictions from the IDC FutureScape for Internet of Things are:
  • IoT and the Cloud. Within the next five years, more than 90% of all IoT data will be hosted on service provider platforms as cloud computing reduces the complexity of supporting IoT “Data Blending”.
  • IoT and security. Within two years, 90% of all IT networks will have an IoT-based security breach, although many will be considered “inconveniences.” Chief Information Security Officers (CISOs) will be forced to adopt new IoT policies.
  • IoT at the edge. By 2018, 40% of IoT-created data will be stored, processed, analyzed, and acted upon close to, or at the edge, of the network.
  • IoT and network capacity. Within three years, 50% of IT networks will transition from having excess capacity to handle the additional IoT devices to being network constrained with nearly 10% of sites being overwhelmed.
  • IoT and non-traditional infrastructure. By 2017, 90% of datacenter and enterprise systems management will rapidly adopt new business models to manage non-traditional infrastructure and BYOD device categories.
  • IoT and vertical diversification. Today, over 50% of IoT activity is centered in manufacturing, transportation, smart city, and consumer applications, but within five years all industries will have rolled out IoT initiatives.
  • IoT and the Smart City. Competing to build innovative and sustainable smart cities, local government will represent more than 25% of all government external spending to deploy, manage, and realize the business value of the IoT by 2018.
  • IoT and embedded systems. By 2018, 60% of IT solutions originally developed as proprietary, closed-industry solutions will become open-sourced allowing a rush of vertical-driven IoT markets to form.
  • IoT and wearables. Within five years, 40% of wearables will have evolved into a viable consumer mass market alternative to smartphones.
  • IoT and millennials. By 2018, 16% of the population will be Millennials and will be accelerating IoT adoption due to their reality of living in a connected world.

“The Internet of Things will give IT managers a lot to think about,” said Vernon Turner, Senior Vice President of Research. “Enterprises will have to address every IT discipline to effectively balance the deluge of data from devices that are to the corporate network. In addition, IoT will drive tough organizational structure changes in companies to allow innovation to be transparent to everyone, while creating new competitive business models and products.”



Friday, May 22, 2015

Indonesia e-commerce is the riskiest ? Good news or Bad News ?

Taken from internetretailer.com article

A global e-commerce fraud report ranks Indonesia as the riskiest for U.S. e-retailers

May 20, 2015, 3:04 PM
BY TRACY MAPLE Managing Editor, Digital Content

35% of transactions from Indonesia are fraudulent, and fraud rates exceed 10% in the five riskiest nations.

No country will clamor to claim such distinction, but five nations stand out as the most likely in percentage terms to produce fraudulent online transactions: Indonesia, Venezuela, South Africa, Brazil and Romania. That’s according to a new report that analyzed more than a million online transactions in 2014 to determine the rankings for countries other than the United States. The aim of the report was to advise U.S. e-retailers on which foreign countries pose the highest risk for attempted fraud.

In Indonesia, about 35% of e-commerce transactions are fraudulent; for Venezuela it’s 33%; South Africa’s rate is 25%; Brazil’s rate is 11%; and Romania’s is 10%, according to fraud prevention technology provider Forter, which compiled the report. On the flip side, the report ranks Denmark, New Zealand, Finland, Norway and Switzerland as the least-fraudulent countries.

In the U.S., the average e-commerce fraud rate is less than 1%, according to CyberSource Corp.

Forter analyzed online transactions over the course of 2014, including the sale of consumer goods, sales on online marketplaces, travel and other purchases, but excluding adult entertainment, says Noam Inbar, Forter’s vice president of business development.

“U.S. retailers have a perception that everything outside the U.S. is very fraudulent, and they will automatically blacklist most countries outside the U.S. and want to focus on domestic sales,” she says. The report aims to give retailers in the United States a “true picture of what’s going on outside the U.S.”  While it’s useful to understand which countries produce the fewest fraudulent transactions, she encourages e-retailers not dismiss consumers from nations with higher fraud rates. “Even though there are problems in those markets, there are ways to deal with them,” Inbar says.

“Things are changing so fast,” she adds. “New fraudsters are entering the scene these days, and we want retailers to take this information and combine it with their tools to make better decisions to balance their business goals and fraud management.”

The study also examined mobile transactions and discovered that fraud rates are twice as high for transactions made with Android devices than the iPhones and iPads that use Apple Inc.’s iOS. Criminals using mobile devices tend to attack via Android because the systems are more open and therefore easier to manipulate, according to Forter.

Other findings include continent fraud trends:

Europe’s fraud rate is slightly lower than the global average.
Asia’s fraud rate is similar to the global average.
Africa’s fraud rate is as much as 10 times higher than the global average.
South America has a fraud rate three times higher than the world average.

Forter says it does not include the actual average rate because the average is calculated and compared on a per-industry basis, and the average fraud rate varies significantly between different industries.

Thursday, May 21, 2015

OTT vs VOD

From www.parksassociates.com

The average consumer watches 3.4 hours of OTT video per week
and 1.7 hours of pay-TV VOD per week



Telkomsel Big Data

Taken from www.rcrwireless.com
Telkomsel chooses Cloudera as big data platform


Telkomsel, Indonesia’s largest mobile operator, selected Cloudera, which it claims is the first unified big data platform powered by Hadoop, to help them become a higher-value broadband service provider.

Up until now, Telkomsel has been largely a voice and text message-based business, but is hoping this partnership will allow for faster data processing and decision-making that will help it better understand its customers.

The partnership is said to help Telkomsel better exploit the growing data volumes gathered from its 140 million subscribers in its legacy data warehouse. The company believes that the data, if properly harnessed, can provide valuable customer network insights.

The Indonesian operator is turning to Hadoop through Cloudera Enterprise to offload, extract and transform data warehouse operations to make them faster and more cost-effective for data processing and insights.

Cloudera was chosen for the perceived stability of its Hadoop distribution, widespread market share and range of relevant use cases.

“One of the first use cases we looked at was storing xDR data for longer data retention. With 100% data growth annually, Hadoop is the best option to offload the data from the EDW,” Metra Utama, VP of IT planning at Telkomsel said. “We’re looking forward to the next phase of adoption of our Cloudera environment, which will drive new analytical insights.”

Telkomsel is currently using an on-premise environment to run Cloudera, and exploring Hadoop components including Apache Hive, Spark and Impala.

Through Hadoop’s integration with Cloudera, Telkomsel said they have been able to cut down customer transaction process times from days to minutes.

Saturday, May 09, 2015

Misconceptions and How to Get Safely on Cloud Platforms


Taken from forbes.com 's article
Five Common Misconceptions About Cloud Platforms
By Lisa M. Schwartz, Oracle

Understanding a few basic misconceptions about cloud platforms can make a difference to the bottom line of your business. Why? Simply put, cloud platforms (“platform as a service,” or PaaS) are cloud-based infrastructure and development environments that customers like you pay for o8n usage-based arrangements, and which are maintained by third-party cloud providers.

Using cloud platform technology frees your IT staff from doing repetitive maintenance work and allows them to be more responsive to pressing business needs, such as quickly developing and testing a new app for salespeople in the field or creating a new real-time inventory dashboard.

However, all cloud platforms aren’t created equal, choosing a cloud platform is an important decision you will have to live with for a while.

Misconceptions About Cloud Platforms

1: All cloud platforms offer the same set of services.
2: PaaS is a great catchall solution to providing missing capabilities not found in SaaS applications.
3: Non-standards-based cloud platforms or open source development languages can bring down costs.
4: All cloud subscriptions are more or less the same.

How to Get Safely to the Cloud

1. Use a single, well-known, standards-based cloud platform across your entire business. That will save you a lot of time and money in the long run, allow you to innovate faster, and avoid unnecessary headaches.

2. Use a provider that doesn’t lock you in to its platform by using lesser-known proprietary languages or databases.

3. Look for a cloud platform that connects easily with its own SaaS applications, and also allows you to move your SaaS applications, if you choose, to another platform.

4. Finally, choose a provider that has many prebuilt services at every layer so your business can innovate quickly while maintaining governance and standards across your entire business.

Starting with a secure cloud platform as a foundation, built on widely known standards, you can save your company time and money and position your business well into the future.

Lisa M. Schwartz is senior product marketing director for cloud applications at Oracle.

Friday, May 08, 2015

2015 Indonesia’s economy by economist.com


Taken from economist.com ' s article
Indonesia’s economy
Spicing up growth

Bad policy as much as bad infrastructure is holding Indonesia back
May 9th 2015

IN LATE April Indonesia’s president, Jokowi, wooed foreign moneymen at a big international conference. Investing in Indonesia will bring “incredible profits”, he promised. “And if you have any problems, call me.” Two days later, at a summit of Asian and African dignitaries, Jokowi struck a different note. He called for “a new global economic order that is open to new emerging economic powers” to avoid the “domination of certain groups and countries”.

That is not necessarily a contradiction: you can pursue foreign cash while also arguing that international financial institutions grant developing countries too little power. But the change in tone was striking: from open, affable and welcoming of foreign money to prickly and suspicious of it. In his first seven months as president, Jokowi has tended to present the first face to the world, particularly to potential investors. But Indonesia’s policies still show too much of the second. That has grave implications for the country’s future.

Jokowi says he wants Indonesia to return to 7% annual growth—a rate unseen since the Asian financial crisis of the late 1990s, but not unusual before it. In fact, the economy is slowing. In the first quarter of this year it grew by 4.7% year on year, down from 5% in the previous quarter. On a quarterly basis, it has been shrinking for six months now.

The problem is commodities. Ever since the ancient Romans acquired a taste for cloves, commodities have played a big part in Indonesia’s economy. The country is the world’s leading exporter of palm oil and tin, the second-biggest rubber exporter and the fourth-largest coal producer. The Grasberg mine in Papua, Indonesia’s biggest and easternmost province, is the world’s biggest gold mine and its third-largest copper mine. When China’s hunger for commodities was growing and prices were high, Indonesia boomed. But since 2011 its growth rate has declined, reflecting China’s weakening appetite for raw materials and the dramatic fall in prices this has precipitated.

Jokowi’s plan is to rebalance Indonesia’s economy away from commodities and towards manufacturing. The country managed a similar shift once before: in the late 1970s and 1980s, as the price for Indonesia’s then-abundant oil fell, the government tried to attract foreign investment in industries like food processing and carmaking instead.

By 1990 manufacturing’s share of GDP exceeded that of agriculture for the first time, thanks to a winning combination of low wages, decent infrastructure, a stable investment climate and abundant natural resources. That boom ended with the Asian financial crisis and the chaotic fall of Suharto, Indonesia’s long-serving strongman, in the late 1990s.

Indonesia today should be even more attractive as a manufacturing hub. It is the fourth-most-populous country in the world, with a huge, fast-urbanising domestic market and a rising consumer class. Workers are cheap: the average manufacturing job pays a base salary of $253 per month, compared with $369 in Thailand and $403 in China. Demography is in its favour: its median age, 29.2, is well below those of Thailand (36.2) and China (36.7).

But Indonesia’s bureaucracy is impenetrable and its infrastructure, much neglected since Suharto’s day, woeful. Companies spend 50% more on logistics than those in Thailand and twice as much as those in Malaysia. No wonder that foreign investment has stagnated in recent years. Manufacturing’s share of GDP, meanwhile, fell from 29% in 2001 to 24% in 2013.

Jokowi has taken some steps to reverse this slide. He launched a one-stop shop for investment approvals in January that has helped speed progress through Indonesia’s Kafkaesque bureaucracy (though when dealing with Indonesian bureaucracy, “speed” is a relative concept: according to Wellian Wiranto of OCBC, a Singaporean bank, the one-stop shop has reduced the number of days required to obtain a permit to build a power plant from 923 to 256).

Using savings from the welcome cutting of fuel subsidies late last year, Jokowi has boosted the budget for infrastructure by 53%—the biggest year-on-year increase in Indonesia’s history. Better roads and ports should drive down logistics costs. Some of the money is for much-needed power plants: Indonesia has five times Britain’s population, but just half of its generating capacity. He has also sought out foreign investment for infrastructure projects.

But many businesspeople worry that the results will not match the rhetoric. Much of Jokowi’s infrastructure money will go to inefficient, state-owned enterprises. Indonesia has inflexible labour laws and minimum wages have shot up (albeit from a low base). Moreover, a morass of protectionist rules persists. The number of industries barred to foreign investors, for instance, has grown steadily. Last year the “negative-investment list” expanded to include onshore oil extraction and e-commerce. In 2014 the government banned the export of some raw minerals in a disastrous effort to ramp up domestic smelting; exports of bauxite collapsed from 55m to 500,000 tonnes within a year, without any concomitant rise in alumina or aluminium exports.

Local-content laws abound, covering energy, retailing and carmaking, among other sectors. A long-mulled, much-criticised draft law may soon require companies that sell tablets and smartphones to produce up to 40% of their components in Indonesia. The aim is to boost domestic tech manufacturing; instead, it will probably create a flourishing black market for iPhones and scare off potential investors. Tight immigration rules have cut the number of foreign workers in Indonesia by 16% in three years, to just 64,000 in 2014. Foreign doctors are banned; foreign oil-and-gas workers must be below the age of 55.

Much of this is not Jokowi’s doing. Economic liberalism has never really taken hold in Indonesia. Its parliament is always ready to embrace protectionist policies, driven by the widespread belief that foreigners have long plundered Indonesia’s resources and left locals none the wealthier. The Asian financial crisis left Indonesia deeply suspicious of foreign capital.

Nor is Jokowi blameless. A decree published without consultation in January unexpectedly banned the sale of beer in minimarts and other small shops across the country, depriving brewers of perhaps half their revenues and startling investors who now fear more surprise regulations. He promised to increase government revenues by bringing more Indonesians into the tax system, but many foreign firms whisper that tax officials are squeezing them harder instead.

Carmaking, led by Japanese firms, is humming along: production is now rising in Indonesia and falling in Thailand. For the past two years more cars have been sold in Indonesia than in any other country in South-East Asia. But Jokowi has lately promoted the potential for a national-car scheme in partnership with Proton, the money-pit that is Malaysia’s national carmaker. Jokowi’s supporters say he has the right ideas, and stress that he faces strong opposition. But whether bad policies are enacted with Jokowi’s support or because he is powerless to stop them matters little: either way, they hinder investment that Indonesia sorely needs.

Geography already puts Indonesia at a disadvantage: it sprawls across more than 13,000 islands, which means that getting goods from one place to another will always be more complicated (and expensive) than just putting them on a lorry. But that makes good policy all the more crucial. When commodities were in demand, Indonesia’s business environment mattered less: companies that wanted tin and copper had to go wherever they could be found. Manufacturers can be choosier.

Monday, April 20, 2015

Singapore as a Hub of Global Data Center


Taken from enterpriseinnovation.net 's article:
Coming to Singapore: A global IT company's CEO moves to Asia
By Rahul Joshi | 2015-04-13


Talks to CEO George Slessman about his move as well as the company division

IO, a company that offers 'Data Center as a Service', is the sixth largest data centre provider in the world. IO first opened its Singapore office in September 2013 to serve the APAC region - this was its first office outside of the US. Since then, the company has been steadily ramping up its activities in Asia, and this year the CEO has made the unconventional decision - to relocate to Singapore.

Also recently, the company split into two units - IO, which, will continue to handle colocation and cloud services,and a new company, BASELAYER, which will comprise IO’s modular data center hardware and data center infrastructure management software.

We are deeply committed to the ASEAN region and Singapore. We believe it will be the largest growth market for IO in the next five years. In fact, my wife and I recently moved to Singapore because I see incredible opportunity to grow and expand the IO footprint throughout Asia. We plan to have the majority of our business operations and R&D located in Singapore over the next five years.

The significant growth opportunity in the ASEAN region combined with Singapore’s robust ecosystem, pro-business environment, stable geopolitical landscape and high-technology infrastructure set the stage for our success in Asia.

Singapore has a relatively mature data center market compared to other countries in Asia, yet it has extraordinary growth and development ahead. It has low risk of natural disaster and is located within 50 milliseconds of Hong Kong and 75 milliseconds of Tokyo – other two major financial centers in Asia. That makes Singapore a strategic connector for Asia.

The financial services industry is a target vertical market for IO. Singapore is the fast growing FI hub in the world today, which was a key reason for IO’s move to Singapore. In addition, the broader growth dynamics in the region made Southeast Asia a natural next step for IO’s global expansion. Singapore’s technology ecosystem is also superior compared to other markets in the region due to the demand from multinational companies that have been operating in Singapore.

In addition, technology providers thrive in stable geopolitical environments. Singapore consistently outperforms its peers in that area as the government is highly supportive of building a vibrant infocomms ecosystem, and strengthening Singapore’s position as a data management hub through pro-development policies and rigorous R&D. These were all key considerations that resulted in us selecting Singapore as the first IO data center in Asia.

Innovation has been core to Singapore’s competitive success, and we’re starting to see more tech start-ups, patents and entrepreneurs coming out of Singapore. The local government agencies are creating and enabling an environment for innovation to take place.

The past few years have seen unprecedented economic growth in Asia, with low-cost capital and low-cost energy further driving interest and development. My prediction is that, one year beyond its IPO, Alibaba will be one of if not the largest companies in the world, representing the definitive move of the Internet's center to Asia. What Intel did for Silicon Valley, Alibaba is doing for Asia.

In Asia, failure is seen as exactly that—something to be avoided and a stain on a businessperson’s reputation. In America there is a very different attitude toward failure. For every high-tech business success in Silicon Valley, there are countless failures.

The key is to walk the line between vision and being able to execute. You have to have a healthy fear of failing that drives you—not paralyzes you—to be more persistent, to work harder than the next person.

The Cloud of Utility



John McCarthy
was the first to propose a time-sharing model of computing. 
In 1961 he suggested that if his approach were adopted, 

"computing may some day be organized as a public utility, 
just as the telephone system is a public utility", 

and that this could become the basis of a significant new industry. 
This is the way that cloud computing is sold today.

Friday, April 17, 2015

Cloud Amazon Web Service

Di kutip dr KOMPAS.com

Jika Perlu, Amazon Akan Bangun Server di Indonesia
Kamis, 16 April 2015 | 08:56 WIB

Perusahaan jasa komputasi cloud Amazon Web Services (AWS) membidik kebutuhan digital para pelaku bisnis di Indonesia, mulai dari penyewaan daya komputer , pengiriman konten, hingga storage.

AWS selalu terbuka mempertimbangkan untuk menggelar data center di negara tempat pelanggan berada, apabila memang diperlukan atau disyaratkan oleh pemerintah negara yang bersangkutan.

AWS menjalankan operasi di berbagai belahan dunia dengan mengandalkan 11 data center yang masing-masing melayani cakupan wilayah dalam batas tertentu. Ke-11 data center itu tersebar di beberapa benua, termasuk Amerika, Eropa, Asia, dan Australia.

“Data center yang paling dekat dari Indonesia letaknya di Singapura,” lanjut Harshman, sambil menambahkan bahwa sebuah negara tak perlu memiliki infrastruktur data center sendiri untuk bisa mengakses layanan AWS dengan lancar.

“India dan Taiwan juga tak memiliki infrastruktur (data center AWS), tapi nyatanya kami bisa sangat berkembang di sana,” kata dia.

Di Indonesia sendiri kewajiban memiliki data center dalam negeri bagi para penyelenggara layanan online sudah diatur dalam Peraturan Pemerintah Nomor 82 Tahun 2012 tentang Penyelenggaraan Sistem dan Transaksi Elektronik.

Namun, akhir tahun lalu Menteri Komunikasi dan Informatika Rudiantara menegaskan bahwa tak semua server perusahaan asing mesti ditempatkan di Indonesia. Hanya yang berkenaan dengan keamanan dan kepentingan nasional saja yang didorong agar melakukan hal tersebut.

“Misalnya nggak, ya nggak harus. Untuk apa ada teknologi cloud computing? Teknologi itu menembus batas negara,” ujar Rudiantara ketika itu.

Monday, March 23, 2015

Rakuten .. again



------------------------------------------------------------------------------------------------------------------------

August 12, 2014, by Allison Enright 

The Japanese e-commerce company previously invested in the Silicon Valley startup.

Rakuten Inc. has acquired Slice, a shopping application that helps consumers keep track of their online shopping.

Terms of the buy were not disclosed. Rakuten, a Japanese company that operates online marketplace sites around the globe and has made numerous e-commerce investments in recent years, first invested in Slice last year, leading a $23 million funding round.

Slice’s shopping app, launched in 2011, organizes the order confirmations and shipping notifications that e-retailers e-mail to consumers after they purchase. Consumers let the Slice application access their webmail accounts.

“We couldn’t have found a better partner as we grow our business and product portfolio,” writes Slice founder and CEO Scott Brady in a blog post announcing the purchase. “Joining forces with Rakuten now enables us to exponentially increase our ability to develop the technology and products to bring that transformative vision to life more quickly and at a scale beyond what we could achieve independently.” Brady goes on to say Slice will operate as a stand-alone business and retain current management.

Rakuten had no immediate comment on why it purchased Slice or what it intends to do with it.

-------------------------------------------------------------------------------------------------------------------------

June 30, 2014 by Don Davis

The company plans to invest in early-stage companies based in Asia, the United States and Israel.

Like many successful Japanese companies, Rakuten Inc. has taken profits from its operations in Japan to expand globally. That continued today with the Tokyo-based company announcing plans to create a $100 million fund to invest in young technology companies that have a focus on improving user experience.

Rakuten Ventures, the investment are of Rakuten Inc., said today the new fund will focus on investing in technology start-ups in Israel, the Asia-Pacific region and the United States. It will be based in Singapore and run by Saemin Ahn, managing partner of Rakuten Ventures. Rakuten Ventures set up a similar fund last year to invest in companies in Southeast Asia.

Rakuten, whose Rakuten Ichiba marketplace is the leading e-commerce site in Japan, has invested billions in recent years in e-commerce and online marketing companies in North and South America, Asia and Europe. The company’s global e-retail sites and shopping portals accounted for $18 billion in sales in 2013, while the company reported revenue grew 29.5% to $4.9 billion and net income more than doubled to $412.6 million.

In a statement announcing the new fund, Saemin Ahn, pointed to two companies with roots in Israel as examples of the kind of start-ups that have rapidly won consumer loyalty: Waze, a mobile travel app developer that Google Inc. acquired last year, and messaging service provider Viber Media Inc., which Rakuten acquired in February for $900 million.

“More Asia-based VCs are venturing out into different regions to look at investment as long-term growth vehicles,” he said. “Since 2013, Rakuten Ventures has been one of such VCs to aggressively invest larger amounts into younger companies, to enable them to focus on product and service development.”

Rakuten chairman and CEO Hiroshi Mikitani has made clear his global ambitions: He said last year aims to operate marketplaces in 27 countries and process $125 billion in transactions by 2020. By contrast, eBay Inc. reported the total value of transactions on its shopping portals in 2013 was $77 billion, and Internet Retailer estimates Amazon.com Inc.’s sales on its worldwide sites last year amounted to $100 billion.

To achieve that growth, Rakuten has been on a buying spree in recent years.

The company in 2010 acquired U.S. e-retailer Buy.com for $250 million, renaming it Rakuten Shopping and turning it into a marketplace that hosts other merchant’s products but does not sell on its own behalf. Other investments include purchasing a stake in image-based social network Pinterest in 2012, buying e-reader company Kobo in 2011 for $315 million, and taking a stake in U.S. e-retailer The Grommet Inc., No. 415 in the 2014 Internet Retailer Top 500 Guide. In 2005, Rakuten acquired affiliate marketing network Linkshare for $425 million.

Rakuten’s European investments include: acquiring French online shopping mall Price Minister in 2010 for $248 million; taking an 80% stake in 2011 in Germany web marketplace operator Tradoria GmbH; buying U.K. e-retailer Play.com in 2011 for $39 million and participating in a $100 million investment round in 2011 in Russian online retailer Ozon.ru. Play.com is No. 28 in the 2014 Internet Retailer Europe 500 and Ozon.ru is No. 89.