KDnuggets: Analytic Outsourcing Review: Dude, Where's My Analysis?

[Published on KDNuggets on Dec 6, 2008: https://www.kdnuggets.com/news/2008/n23/21i.html]

Analytic outsourcing has come into prominence in recent years with the growing independence of the KPO (Knowledge Process Outsourcing) segment of the BPO (Business Process Outsourcing) market as an independent sector of its own right. The multi-billion dollar KPO market in India is dominated by both established names in consulting and outsourcing as well as some newer players. Firms like Evalueserve (www.evalueserve.com), Genpact (www.genpact.com), McKinsey & Co (mckinsey.com) and Accenture (accenture.com) are leading the pack in this sector, while traditional BPO companies like TCS, Wipro, Infosys, WNS and EXL are also making a push into this sector, driven by the higher margins in KPO projects. Other countries such as China, Russia, Poland, the Philippines and Hungary are also ambitiously pursuing KPO opportunities, but India still has the lion's share of the global KPO market.

With the prolific outsourcing of more and more analytic functions to external vendors, it becomes important to understand the ramifications of the decision to outsource analytics to onshore or offshore units (either captive or independent) for companies vs. conducting it in-house. Let's first of all understand why this decision is very different from other types of outsourcing.

Differentiating a Business Process vs. Knowledge Process from an Outsourcing Perspective

Business Process Outsourcing entails taking a routine business process that is consistently repeatable, follows standard industry procedures and doesn't require client-vendor interaction on a regular basis and outsourcing it to an external entity. Knowledge Process Outsourcing on the other hand entails processes that are not consistently repeatable, do not necessarily have standard industry norms of execution, require more frequent client-vendor interaction and require a high degree of custom expertise that doesn't necessarily form the curriculum of standard business education. An additional point of difference is that BPO projects contain modules that can be separated and assigned to different entities with much more ease than KPO projects, especially analytic projects where modules are exponentially more integrated. KPO projects also have higher visibility within C-level stakeholders at end-clients than BPO projects.

Is Analytic Outsourcing For You?

There are several factors to be considered in evaluating the decision to outsource analytics vs. retaining it in-house:

• Access to or ability to assimilate analytic talent in-house
• Ability to constantly update in-house talent with latest analytic developments and techniques
• Availability of necessary data in-house and capability to organize it
• Financial Cost vs. benefit of conducting analytic research in-house
• Risks from outsourcing research function
• Advantage of third-party unbiased opinion and access to industry best-practices available to external vendors

With all the opportunities for efficiency, there are a few strategic disadvantages being overlooked by several business organizations that have outsourced a significant amount of their analytics to offshore entities. For instance, analytic projects often have the tendency to yield corollary business insights that may not have been the original goal of the analysis. The persons and entities within the organization may be the most qualified to identify and leverage such opportunities, compared to external vendors. This is especially important to firms where innovation is a critical part of the business model.

Long-term Outlook

The proliferation of analytic outsourcing is inevitable in the long-term, as firms try to focus on their core competitive advantage and leverage comparable yet cheaper talent in offshore markets. At the same time active firms that do not outsource the entire analytic process but manage to retain insight generation at a strategic level should prove to have somewhat of an edge over passive firms that outsource the entire analytic insight generation process. This will especially be an advantage during turning-points in industry and shifts in economic cycles and trends, which will require a deep understanding of all facets of the business and a rapid development and execution of appropriate strategic changes. Also the best KPO firms to partner with will be the ones that do not follow a "black-box" approach to analytics, but are willing to allow some level of scrutiny to their process (of course within the limits of Intellectual Property protection constraints)

Media, A Wharton Professor and Marketing Research - I

A couple of weeks ago I had the opportunity to actually attend a lecture by a Wharton professor - Peter Fader - at the Marketing Modelers meeting down at the ARF in NYC. The topic of conversation was "The Paradoxes of Interactive Media". Peter Fader is a professor at the Wharton school of business and is actually on the board of A-list journals such as Marketing Science and Journal of Marketing Research. He has built his reputation on his research on trial and repeat in the CPG industry, while also doing some mean research in the field of electronic commerce. Most notable was his testimony during the Napster trial. Based on that testimony it was clear that the man is a rebel and revels in lateral thinking. The talk just confirmed it.

Even though I - or most other people in the room - didn't agree with everything he said, but his approach prompted me and everyone in the room to question our beliefs and conventional thinking. In today's blog I am presenting one of the points made in the session.

Professor Fader iterated that cross-group differences across different demographics like ethnicity are often meaningless. Now this may be true from a total category point of view (he used the example of DVD purchaes by hispanic vs. non-hispanic consumers). But if you get down to the brand or attribute level, this actually leads to way different consumer behavior - and since marketing is brand-driven rather than category driven, I would have to say that distinct differences do exist and can be leveraged by marketers to drive sales differently among different demographic groups. However, his essential theory that people are the same (or distributed similarly/ normally, if you want to be statistical) everywhere is pretty solid. However, as soon as you start breaking down a category by its attributes (brand, size, flavor, feel etc.) ethnic differences come into play. I would love to hear other points of view on this. I will deal with a couple of other interesting points made by professor Fader in my next posting....

So the Recession is finally official- Now What?

On Friday, November 28, 2008 the Business Cycle Dating Committee of the National Bureau of Economic Research announced a peak in economic activity in December 2007. Since it is the NBER's sacred and ordained task to announce recession beginings and end, finally everyone including the government can admit that we are in an official recession until the NBER announces a 'trough', signalling the end of the recession. Interestingly, neither the GDP or the GDI (Gross Domestic Income) showed an extremely clear pattern in the two consecutive quarters of decline rule to identify a peak, only the payroll employment seems to have declined every month since December '07 and the NBER seems to have weighed heavily on this metric to dtermine that we reached a peak in economic activity in December '07. Interestingly, I had posted previously in Is GDP a Consistent Measure? No, GDP is actually a Deceptive Measure... that relying purely on the GDP to determine the state of the economy is not a good idea since this measure may no longer be as reliable as it used to be in the past. Even if the financial markets and the economic production begins to stabilize, employment may continue to decline (economists are expecting Friday's employment report to be abysmal at a 325,000 decline- ADP has reported a 250,000 decline in the private sector). What probably is also driving private sector declines is the fact that stock prices are down in the dumps and management will continue to leverage every opportunity to be efficient by cutting costs to appease shareholders, until revenue growth returns to a point where it offsets the need to improve profit margins through cost-cutting. After the 2001 recession, jobs took 4 years to return to peak levels according to the Economic Policy Institute and if that is any indicator, we are looking at late 2011 early 2012 for a full recovery. With the dramatic decline in House Prices and the bleak performance of retirement accounts, households are increasing their savings rate in "safer" securities (typically bonds), as they can no longer rely on their real estate equity as a retirement cushion. In any case we are a long way from getting out of the woods.