Short-term contracts give mid-cap IT cos new lease of life

With the duration of outsourcing deals getting shorter, deals worth nearly USD 85 billion are up for renegotiations this year, reports CNBC-TV18’s Shreya Roy.

Midcap IT players may get a new lease of life. With the duration of outsourcing deals getting shorter, deals worth nearly USD 85 billion are up for renegotiations this year, reports CNBC-TV18’s Shreya Roy.

Over the last few years, uncertain times have forced IT companies to go in for more short-term contracts. For mid-cap IT companies, this may have been a blessing in disguise.

Data from outsourcing advisory firm TPI says that around 700 contracts will be up for renegotiations this fiscal year, compared to 530 last year.

“There is a significant reduction in the tenure of contracts as they were originally signed. Compared to 10 years ago, when 500 of these were being done, there are 1000 a year. The tenure has gone down to five years instead of seven, so a lot of deals are naturally coming back to the market as renewals. In itself, this is a very large opportunity,” said Siddharth Pai, partner and MD at TPI India.

For many IT players, this may be just what the doctor ordered. After all, renewals account for almost 65% of the outsourcing market. Advisory firm Everest estimates that by October 2013, deals worth nearly USD 85 billion will be up for renewal.

These include a contract between HP and Bank of America, a mega deal from Shell group which is currently with AT&T, HP, and T-Systems, a blue cross blue shield deal with Dell and Manu Life’s deal with IBM.

Many of these contracts are expected to be broken up into smaller chunks, as outsourcers are looking increasingly towards multi-sourcing. Analysts say this could work in the favour of the smaller players, especially those like Mindtree and Hexaware, which have been focusing on developing niche capabilities to help differentiate from larger players.

 

Watch Video

Excerpts from India Business Hour on CNBC-TV18 Watch the full show »

Business Focused Analytics – The Starting Point

Having been a Business Intelligence practitioner for the last 13 years, there has never been a more exciting time to practice this art, as organizations increasingly realize that a well implemented BI & Analytics system can provide great competitive advantage for them. This leads us to the question of – ‘What is a well implemented BI system?’ Let us follow the Q&A below.

Q: What is a well implemented BI system?

A: A well implemented BI system is one that is completely business focused.

Q: Well, that doesn’t make it any easier. How can we have BI that is completely business focused?

A: BI & Analytics becomes completely business focused when they have ‘business decisions’ as the cornerstone of their implementation. The starting point to build / re-engineer a BI system is to identify the business decisions taken by business stakeholders in their sphere of operations. Business decisions can be operational in nature (taken on a daily basis) and/or strategic (taken more infrequently but they tend to have a longer term impact). To reiterate, the starting point for BI is to catalog the business decisions taken by business stakeholders and collect the artifacts that are currently used to take those decisions.

Q: The starting point is fine – What are the other pieces?

A: The next step is to identify the metrics and key performance indicators that support decision making. In other words, any metric identified should be unambiguously correlated to the decision taken with the help of that metric and by whom. Next we need to identify the core datasets in the organization. Please refer to my earlier blog post titled ‘Thinking by Datasets’  on this subject.

Q: What about the operational systems in the landscape? Aren’t they important?

A: Once we have documented the relationship between Business Decisions to Metrics to Datasets, we need to focus on the transactional applications. The key focus items are:

• Inventory of all Transactional Applications
• Identify the business process catered by these applications
• Identify the datasets generated as part of each of business process
• Next step is to drill-down into individual entities that make up each of the datasets
• Once the Facts & Dimensions are identified from the entities, sketch out the classic ‘Bus Matrix’ which would form the basis for dimensional data modeling

 

Q: All this is good if we are building a BI system from scratch – How about existing BI systems?

A: For existing BI applications, the above mentioned process could be carried out as a health-check on the BI landscape. The bottomline is that every single report / dashboard / any other analytical component should have traceability into the metrics shown which should then link to the decisions taken by business users. BI & Analytics exist to help organizations take better business decisions and that defines its purpose & role in an enterprise IT landscape.

The answers mentioned above provide the high-level view of Hexaware’s approach to Business Intelligence projects. We have worked with many organizations across industries and a business focused analytical approach has provided good value for our customers.

Thanks for reading. Please do share your thoughts.

Business Focused Analytics – The Starting Point – Part 2

Business decisions are the cornerstone of a successful BI implementation. Cataloging the decisions taken by the key stakeholders in an organization is the first step in understanding the information requirements for a data warehouse. Capturing business decisions – strategic and operational, is not a simple task as most business decisions tend to be complex requiring diverse data points. Further, when all decisions are collected, how will we know the decisions that have the most impact on the business?

Here’s a simple framework based on the six primitive interrogatives that Hexaware has effectively used while assessing information requirements. This framework helps systematically uncover important dimensions of information and organize them in a format that is easy to comprehend.

Question	Description	Comments	Example
Who?	The decision-maker	Stakeholder	Service Delivery Manager (SDM)
What?	The decision	A decision requiring supporting data / information	Resourcing for a project
Why?	The motivation for the decision	The significance of the decision to the business	Getting the right project team is critical to the success of a services project.
When?	When is the decision made	frequency (or) a point in time	Made during the planning stage and reviewed at periodic intervals
How?	The basis for making the decision – KPI / metrics / a logic	the metrics and datasets required for making the decision	By comparing the skill set requirement and project schedule in the Project plan to the  availability of resources (HR and PMO databases) with the right skills (skills database) and good track record (appraisal database)
Where?	The place where the decision is made	Specifies mobility /  additional access requirement	This information needs to be accessed through extranet

Depending on the stakeholder (mostly), the decisions could be strategic or operational. A manager responsible for carrying out a business process will have an operational view of information and will be making operational decisions relating to his/her sphere of operations.  Decisions taken by top management personnel with longer-term business responsibilities tend to be more strategic.  The above framework helps capture both strategic and operational decisions along with the datasets required to make the decisions.

Successfully capturing the decisions and the relevant metrics and the datasets is only half the story in the assessment for a data warehouse. Let’s reserve the other half for a subsequent blog.

Hope this information was useful. Please do share your comments/suggestions.

Happy 4.04 Day!

Today is April 4th, which means that it’s 4.04 day — even in Europe where they switch their months and days around. That means it’s a perfect day to learn what a 404 status code is. Essentially, a 404 is a way for web server to return a “Page Not Found” error when a browser requests a web page that the web server doesn’t have.

If you have no idea what a status code is, start with these two posts about HTTP Headers and what they mean, followed by an introduction to common status codes used by web servers.

A few months ago, Maile Ohye organized a “404 week” on the Google webmaster blog. You can learn what a 404 is, how to make a 404 page more useful, why you should avoid “soft” or “crypto-404s”, plus read some Q&A about 404s and see examples of good 404 pages

There’s also a great feature in Google’s webmaster portal to show you who links to the 404s on your site.

Happy 404 day! Today is best celebrated by making 404 jokes with friends (“404 error: beer not found”), posting pictures of good 404 errors, and general merriment.

Hacking Google: Retro Links Revives Old Google Feature

Google sometimes turns off features. One such feature that I remember fondly is that at the bottom of Google’s search results, we offered nine other search engine suggestions. The idea was if you didn’t find what you were searching for on Google, you could click on the other links and easily run the same search somewhere else. Luckily, due to an April Fool’s joke about the Mentalplex, you can still see what these links looked like:

Many of these search engines consolidated or changed focus over time. Plus I’m guessing that every search engine in the world wanted to be on the list, which must have been really annoying for whichever Google person had to maintain that list of links. I think the list of other search engines dwindled down and eventually Google just turned the feature off.

Recently I was describing this feature to Tiffany Lane, another engineer at Google, and she had a great idea. Why not recreate this search feature on Google with modern search engines and websites? Because of the pain of maintaining an “official” list, we probably couldn’t turn this on for every user (plus not every user wants a lot of extra links added to their search results). But why not provide a completely unofficial option that people could install?

Thus was born Retro Links, which is a Greasemonkey script to add new search options to Google’s search results page. When Retro Links is installed, it looks like this:

Unlike the original feature, Retro Links lets you select which search engines to show from 42 different websites and search engines, then saves those preferences. It’s also very easy to add a new search engine in the JavaScript file.

Installation

Get Retro Links here: http://www.mattcutts.com/retrolinks/retrolinks.user.js

To install Retro Links you will need to be using Firefox and have Greasemonkey installed. Once Greasemonkey is running then you can click on the link above and you will be prompted to install the script. To see that it is working you can do a Google search – the links will be inserted near the bottom of the Google search results page.

Configuration

Configuring Retro Links is really simple. Suppose that you want to change the default Amazon link to search on Yelp. Just click on the [+] link to the right of the search engines and select Yelp from the drop-down box:

When you’re happy with your search engines, click the “Save” button to save your preferences.

Questions

What if the site I want is not one of the 42 options?
You can add more sites to the options by making a simple code change. To edit the code go to Tools -> Greasemonkey -> Manage User Scripts, select Retro Links and click the Edit button. Simply add the name and url of the new site to the RL_LINK_OPTIONS array, following the examples that are already there.

How do I turn on/off the update notification?
The script checks to see if a newer version is available once per day. If an update is available a red box will appear in the bottom right corner of the page with a link to download the latest version. If you want to stop checking for updates go to Tools -> Greasemonkey -> User Script Commands and select Retro Links -> Never check for updates. To start checking again select Retro Links -> Check for updates daily.

Disclaimer

Finally, Tiffany wanted to make sure that I included this quick disclaimer: “Retro Links is not an official Google project. I chose which links to include based on my personal preferences and web surfing habits. These decisions do not represent the opinions of my employer.” Tiffany, thanks for writing this great script!

Local news in more places

Last year we announced the launch of local news in the U.S., and this week we launched this feature of Google News to users in the UK, India, and Canada.

Local news sections let you keep track of current events in your area. We analyze every word in every story to understand what location the news is about and where the source is located. The top stories for a given area will be at the top of your results, and our rankings also take into account a publication’s location to promote local sources for each story.

To get started, look for the local section on your front page and enter your city, state, or postal code in the local search bar, shown here:

If you don’t see this section, you can also set up your local news by clicking “Personalize this page” on the top right of the page. On the menu that comes up, click “Add a local section”:


Once you’ve clicked the link, you’ll see a place to enter a postal code or city. Use the drop-down menu to choose the number of stories you’d like to see. To finish, click “Add Section” and you’ll see this local section on your personalized Google News page.

New Insights for your Search

Some of you may already be familiar with Google Insights for Search, which launched last August.

Much like Google Trends, you can use Insights for Search to analyze search volume patterns over time, as well as related queries and rising searches. You can also compare search trends across multiple search terms, categories, geographic regions, or specific time ranges. Insights for Search can help you can analyze everything from interest levels in rival soccer teams to the relative popularity of politicians.

Today the Insights for Search team launched additional features that allow you to see what the world is searching for beyond Google Web Search, by adding new data sources including Google News, Image Search, and Product Search. The new Insights for Search lets you break down search data in several ways. For starters, you can take a look at the rising News searches over the past 7, 30, or 90 days.

You can also view the popularity of a given query across different geographies, from country-level down to individual metropolitan areas. For journalists and newspapers, this feature could be a useful tool to gauge interest levels in different subjects among a reader base.

For instance, with March Madness in full swing, I was curious to see if interest in basketball runs equally high throughout the U.S. I tried a search for “NCAA” queries on Google News over the past 7 days, and found that interest was predictably high across much of the U.S. yet markedly higher in Kentucky, Iowa, and Kansas, as you can see on the map below:

Of course, Insights for Search can’t quite explain these search asymmetries, but they’re interesting to note nonetheless!

To learn more about this new release of Insights for Search, head over to the Inside Adwords blog, or start exploring right away on the Google Insights for Search homepage.

Wordle for Nancy Grace TV Show

I recently completed a huge “Media and Journalism” project: I transcribed over 500 hours of the Nancy Grace TV show on CNN. It took a long time, but here is an exhaustive Wordle tag cloud of all the words used in those 500+ hours of television:

It appears that all 500+ hours consist of those six words repeated over in different combinations.

I’m not serious and didn’t really watch or transcribe 500 hours of Nancy Grace. In reality, Nancy Grace uses more and different words. It only feels like every sentence is “little Caylee” or something similar.

The Madness of King Google

When Google arrived on the scene in the late 1990s, they came in with a new idea of how to rank pages. Until then, search engines had ranked each page according to what was in the page – it’s content – but it was easy for people to manipulate a page’s content and move it up the rankings. Google’s new idea was to rank pages largely by what was in the links that pointed to them – the clickable link text – which made it a little more difficult for page owners to manipulate the page’s rankings.

Changing the focus from what is in a page to what other websites and pages say about a page (the link text), produced much more relevant search results than the other engines were able to produce at the time.

The idea worked very well, but it could only work well as long as it was never actually used in the real world. As soon as people realised that Google were largely basing their rankings on link text, webmasters and search engine optimizers started to find ways of manipulating the links and link text, and therefore the rankings. From that point on, Google’s results deteriorated, and their fight against link manipulations has continued. We’ve had link exchange schemes for a long time now, and they are all about improving the rankings in Google – and in the other engines that copied Google’s idea.

In the first few months of this year (2006), Google rolled out a new infrastructure for their servers. The infrastructure update was called “Big Daddy”. As the update was completed, people started to notice that Google was dropping their sites’ pages from the index – their pages were being dumped. Many sites that had been fully indexed for a long time were having their pages removed from Google’s index, which caused traffic to deteriorate, and business to be lost. It caused a great deal of frustration, because Google kept quiet about what was happening. Speculation about what was causing it was rife, but nobody outside Google knew exactly why the pages were being dropped.

Then on the 16th May 2006, Matt Cutts, a senior Google software engineer, finally explained something about what was going on. He said that the dropping of pages is caused by the improved crawling and indexing functions in the new Big Daddy infrastructure, and he gave some examples of sites that had had their pages dropped.