Archive for ‘Articles’

May 22, 2013

Homeless multinationals and taxing decisions

The digital economy has generated many changes in how we shop, stay in touch with friends, and manage our daily routines. Despite this, it seems that politicians around the world are only just starting to realise that the digital world has truly changed the economy.

The recent Australian federal budget was the usual mix of promises and projections. One of the more interesting facts presented was the Treasury estimate that since the 2008/2009 budget, federal government revenues from tax receipts have fallen by $170 billion dollars.

When it comes to tax revenue and government budgets, there will always be some level of political debate. It is now pretty obvious that traditional sources of government revenue are now insufficient, even when the Australian economy is powering ahead strongly. Particularly when you look at the backlog of infrastructure investments needed to keep the economy productive.

Painting by Carl Barks

Painting by Carl Barks

Whichever politicians end up running the country after the September federal election, there will be some very tough decisions to make on taxation.

In an interesting coincidence, the announcement of the shortfall in tax revenue has coincided with Treasury bureaucrats kicking off consultations regarding the tax treatment of multinationals doing business with Australians.

At first blush, the multinational taxation consultation process seems to be a rather belated reaction to major political rumblings aired in the G20 and OECD. The issue that is generating the angst is “base erosion and profit shifting” (BEPS), a rather dull way of saying tax avoidance.

BEPS is seen as a global issue worthy of the attention of the G20 for one simple reason – it is entirely legal, and can be used to avoid almost all corporate income taxes.

Businesses that are able to transact with clients online across international borders are the most likely to be able to profit from BEPS, but it is certainly not the only way corporate leaders minimise tax bills.

The UK parliament has recently been examining in minute detail how Google’s internal employee workflows have been structured to shift the legal location of a business transaction. The inquiry heard that despite employees, clients, and work occurring in the UK, Google has successfully claimed that business transactions are legally based in a foreign country.

Amazon has also recently received a huge amount of negative media attention for their UK tax affairs, which seem at face value to be far less adventurous than Google’s. Amazon is reported to have paid just £2.4m in UK corporate taxes last year on sales of £4.3b, while also receiving £2.5m in UK government grants.

But the biggest revelations to date have been thrown up by the US Senate, which recently grilled Apple CEO Tim Cook. The inquiry heard claims that a single Apple owned entity reported profits of USD $30 billion between 2009 and 2012, with no country receiving any tax on that income. Another separate Apple entity managed to pay a tax rate of 0.05% on $22 billion in revenue for 2011.

Perhaps the most important revelation has been that major entities used by Apple to conduct their worldwide business were described as “homeless” for tax purposes, with no country able to collect tax on their corporate income. This “homeless” status undermines some of the most fundamental principles underpinning the international tax and trade treaties relied upon by OECD and G20 nations.

Now business leaders are of course supposed to focus their attention on generating profits and pleasing shareholders. Minimising corporate tax bills can be an effective way to boost cash flows, profits and shareholder returns.

CEO bonuses usually depend entirely on achieving profitability targets and increasing shareholder returns. So it should be obvious that corporate leaders will structure business workflows and organisational design to maximise their bonus.

The result can be bizarre workflows spanning multiple international corporate entities and legal jurisdictions. When tax considerations trump customer service in decision making, it can make high quality customer service very difficult to deliver, and consumer rights unclear. In this digital age, corporate reputations can be quickly tarnished, and very expensive to repair. It has never been easier for the public to learn the financial affairs of large corporations.

Multinationals usually base major operational centres in locations which offer high quality infrastructure and workforces, all of which depend on a stable social environment with sophisticated government services.

If there is no government funding for infrastructure, crime prevention, education, or healthcare, then someone else will end up paying the price. There is a very good reason why there are so few successful multinationals headquartered in third world countries.

While BEPS is currently attracting media scrutiny, it remains to be seen how much impact that attention will have on actual corporate behaviour. While executive KPIs reward elaborate tax avoidance strategies, there will be little chance of corporate driven change.

On the other hand, politicians can always change the rules of the tax game. The international scale of the BEPS problem is already monumental, and politicians of all stripes are going to need corporate scapegoats to deflect inevitable community anger. Now is the time for corporate leaders to rebalance the risks they are taking with their tax affairs.

March 27, 2013

Big Data, Little Innovation

IT infrastructure spending has experienced a rough patch over the last few years, with many large Australian businesses slowing down their investments in new technologies. Cloud services have made inroads into many enterprise and government organisations precisely because of this drying up of internal investment in both skills and infrastructure.

Big Data is one of the latest technology bandwagons. The Australian federal government has even recently issued a round of consultation around the potential use of Big Data within Federal agencies. Big Data is essentially a philosophy, where an organisation systematically performs widespread continuous data collection and analysis, measuring and examining actions across an organisation.

Bendix G15 - 1955

Big Data marketing in 1955

Many technology firms and analysts are spruiking Big Data as a wonder technology that will make or break business fortunes. To describe Big Data as overhyped is certainly understating the situation.

A media frenzy has already emerged, as it is easy for journalists to draw links between the use of Big Data within businesses, the now widespread collection and sharing of sensitive personal information on websites like Facebook, and the proliferation of smartphones that can surreptitiously measure and report almost every aspect of our lives.

So it should hardly be surprising that the Australian federal government feels the need to consult on this topic. There are existing legal protections for the privacy of individual citizens, and restrictions covering the sharing of information between government departments. The timing is however quite ironic, coming within days of technology consulting firm Gartner finally proclaiming that the Big Data technology emperor has no clothes.

Big Data marketing in 1966

Big Data marketing in 1966

While there are clearly some elements of new technology to be found amongst the latest Big Data hype, even the most casual look back through archives of computer marketing material from the 1950s and 1960s reveals a simple truth. Large scale data analysis (Big Data) has always been one of the primary selling points used to justify investment in  business computers. Even the ill fated high profile release of the Apple III in 1980 used data analysis as a primary selling point.

At many large businesses, the board and senior executive teams started investing heavily in these visionary “Big Data” style analysis capabilities in the 1980s. A particularly interesting example of Big Data hype repeating itself is this 1986 marketing brochure for a pattern recognition computer that “scans whole databases” and “handles words and pictures as easily as numbers”. The specific technologies being spruiked may differ, but the claims are extremely similar to those being touted for the latest Big Data technologies in 2013 by vendors such as IBM, Oracle, and EMC.

These strategic concepts are not new at an executive level, and the business outcomes being touted by today’s Big Data spruikers promise little more than the technology visions of the 80s. At a board level, every time a CIO goes back to the piggy bank for a new investment to solve the same old problem, the focus immediately shifts to the CIOs credibility.

Big Data marketing in 1986

Big Data marketing in 1986

At a very fundamental level, all Big Data initiatives are supposed to uncover a stream of fact based insights to inspire new efficiencies, improved business processes, or product innovations. In their most recent research into Australian business innovation, the Australian Bureau of Statistics found that only 16.4% of Australian businesses introduced new operational processes compared to the year before.

In the same period, 17.3% of businesses introduced new products, and a total of 39.1% of all Australian businesses claimed to have made an innovation or process change of any type.

The report found that the top Australian industries carrying out innovation were Wholesale Trade (51%), Retail (42%), and Professional Services (40%). This should not be surprising, as these industries are all facing intense competitive pressures caused by the widespread adoption of e-commerce, and changes in the Australian dollar exchange rate.

Research and development is of course a separate issue, with the ABS reporting that private sector R&D is currently 1.3% of GDP. While the mining industry gets a lot of media attention, the largest sector for R&D investment has actually been manufacturing. 80% of all private sector R&D dollars spent in Australia came from businesses in manufacturing, mining, financial services, and professional services. The government also spends very significantly on direct R&D, with most of that R&D spend going directly to universities.

ABS - Proportion of Innovation Active Businesses reporting lack of funds as an impediment to innovation 2010-2011

ABS – Proportion of Innovation Active Businesses reporting lack of funds as an impediment to innovation 2010-2011

By dealing with Big Data as a technology issue, CIOs and the organisations they work for are setting themselves up for failure.

When examining impediments to innovation, the most recent ABS report found that amongst companies that actively innovated, lack of funds was the primary roadblock to innovation, followed by lack of skilled labour.

Data insights need to be translated into actionable change that is implemented, resulting in modified behaviour and improved operations.

In an idealised scenario it becomes a continuous process of iterative innovation, sparked by data based insights and experimentation. The differences between the 1950s and 2013 simply boil down to the sources of the data points, the level of automation, and the amount of information that can be realistically stored and analysed.

In my experience, most large organisations struggle to build and maintain a culture of innovation. Primarily because they have complex supply chains, well defined business processes, and a large hierarchy of stakeholders. Put bluntly, change usually takes a lot of time and leadership attention.

For an insight to be useful, it must be rapidly turned into change. Large organisations that successfully innovate often chose to focus on small discrete projects, which are limited within a single division, or focused on a vertical slice of workflow. By limiting the scope, risks can be better understood, more focus placed on customer needs, and decision making processes sped up.

This is precisely why decades of data analytics projects have been focused in narrow areas of interest within organisations. It was not a technical limitation, but a consequence of the way people interact within large organisations.

Leaders need to consider how much capacity there is for innovation within their organisations. While the internal workplace culture of the organisation can have a huge impact on innovation, supplier contracts and technology infrastructure may also limit the ability to rapidly make meaningful changes.

The returns from Big Data projects can be expected to flow from the innovations and minor changes that are actually implemented. Fostering a culture of innovation within an organisation is a complex long term project. If there is little opportunity to quickly adapt products, change workflows, or respond to a weekly flow of insights, then there will be little return from a Big Data investment.

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