Archive for the ‘analytics’ Category

Technology Predictions for 2015

December 21, 2014

Technology has been moving rapidly and every year there is a different set that gets the highest priority. Last year, my bet was on these – some have gained while others have not been so successful.

This year, my pick is straight-forward

  1. Application Modernization – In the wake of Digital Transformation, organizations want to finally get away from legacy systems instead of wrapping them with calls and services. Application Modernization software will be in big demand.
  2. Master Data Management – MDM as it is known, will help organizations develop the Single Source of Customer that is missing in many of them. Though the first pass will not guarantee 100% clean data, at least the consolidation will help organizations start the journey.
  3. Data Monetization – Many organizations have tonnes of data with them without even realizing that they could make  use of it (and make money out of it). Data Analysts have been around for a while now and they will start getting much-promised dollars for their bosses.
  4. Web Analytics – Yes, it has been around for a while but in its new avatar, web analytics will start offering more advise to organizations on the customer behavior when they are on  their site. Customer will see better targeted marketing than ever before.
  5. Wearables or more broadly Internet of Things – My favorite for a while now, wearables are going to take the world by storm in 2015 with new use-cases that you would have never thought before. IoT is going to be omni-present and organizations will start making sense out of it. There will be product organizations who will provide end-to-end IoT support-as-a-service.

Thoughts from your side?

Before I forget, Merry Christmas and Happy New Year to you…

My technology predictions for 2012

December 22, 2011

There are a number of technologies which will be in the limelight during the year of 2012. Last year, I struggled to pick one among 3 (Mobile payments, Web-TV, Check-in sites) technologies. Usage of check-in’s did not pick up as much as one thought. The first two reappear in the list below since they still have a long way to go. This year, I am hedging my bets on the six below that I feel will be discussed across the world.

  1. Cloud. Probably a no-brainer for most of us but I expect it to get mature in the next year and more standards to come in place. Hopefully the lessons learnt during the SOA-hype will be used by the Cloud vendors to ensure that they fall into a similar trap. With a not-so-encouraging financial climate, organizations will try and go for the cloud and fail (if they don’t read the fine print)
  2. Rise of the Consumer Devices. Not just the tablet, the television will occupy a higher status of attention from all the biggies. Apple and Google are in the race to release their internet TV‘s. Pay-TV model itself will move from the current package-based to a realistic model (not dissimilar to the mobile plans)
  3. Mobile payment will increase – Google (again) Wallet will increase adoption of payment by the hand-helds. Maturity in the NFC technology will be slow (2013 maybe) but a lot more sound-bytes will be heard
  4. Mainframe technology will make a big comeback when organizations will realize that there is so much capacity available within their existing hardware.
  5. Social Networking scene will have a consolidation. Maybe an acquisition of a big player?
  6. Analytics will pick up in a big way as organizations try to increase their sales by going through consumer behavior.

What do you think of these technologies? Do you see any other technologies that will overtake these?

Superstition and Analytics

October 11, 2011

Wikipedia states that

Superstition is a belief in a non-physical (i.e. supernatural) causality: that one event causes another without any physical process linking the two events….It is also commonly applied to beliefs and practices surrounding luckprophecy and spiritual beings, particularly the belief that future events can be foretold by specific unrelated prior events.

Think about it – we have heard about soccer players and cricketers put on their right shoe first and then left (or vice versa). Why do they do this? They have reasons to believe that when they followed such an approach, things worked out for them. Also, when they did not follow, bad luck dogged them. They are right and wrong in their own way.

Let us revisit Wikipedia once again for Analytics

A simple definition of analytics is “the science of analysis”. A practical definition, however, would be that analytics is the process of obtaining an optimal or realistic decision based on existing data.

Does it make sense to say that analytics done badly will result in a superstition?

Maybe. What do you think?


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