Monday, January 13, 2014

Linked Data - what' it doing?

Frankly, linked data has been around for a while, perhaps longer than big data in terms of relational database management. However, when it is about big data, privacy issues, and linking across channels, it is alarming! But do we understand how big data is "linked"? And how is it going to be a good thing overall?

To answer these questions, here's the man who can be said to have built the web itself. He is asking for help...


Truly, Data = Relationship

Friday, January 10, 2014

Innovation vs Out-of-the-Box

The term Innovation is often misunderstood. Without innovating, enterprises fail, waste your time and  money, and often take away livelihoods.

While fossil fuels are becoming a realistic energy source for private use, it is important to note how K Sridhar of Bloom Energy made a few tweaks to the ordinary approach one takes.

The use of color and hard "paper" (which is actually baked beach sand) made a really big difference if you remember the video in my previous post. Now, companies, no matter how huge, can power their facilities with Bloom Energy installations.

Clean energy is finally here, but what about foolproof data?

One thing's for sure: If your data business has to earn money that is enough to install a Bloom Energy power box, it better does some genuinely good business.

Innovative approaches are seldom effective, unless they are both, timely and targeted. It simply means that a new algorithm may hardly work as expected. It is the little tweaks that you make in the data algorithm after practical use and failure, that can take your innovation to a level of newsworthiness.

Algorithms for uplifting big data businesses are evolving fast. So fast and thick, that the demand for them seems to be creating a deluge of average stuff. While that is always the case in every open market, an alarmingly low number of effective solutions is what could awaken you. Awaken you enough to keep an eye for what really is innovation.

So the next time you are buying from a promising source, make sure it is at least an experienced one. Because someone who hasn't made a mistake, is probably just about to make one!

We made mistakes through the first decade (2003-07), losing value for data and what we procured thinking will stay good for a few years. Then we brought in regular updating, which still remains unmatched and unique, and supplemented by a manual component. The manual process is driven by a list of rules, which enable callers to maximize the number of verifications made in a day.

What followed was relational data-accuracy algorithms. Collating a number of techniques of data sorting and large-database solutions, we came up with innovations that allowed the simplest interfaces, providing search access to influential decision makers and people who are likely to purchase in the B2B arena. What's better? The information is real-time!

Some innovations can be easily perceived, sometimes mundane, but just impossible to implement. Big data is one such arena. However, Procure Data has proved to be a game changer by implementing verification, cleansing, overall management, and manual processes under one umbrella - so that you can get what it takes to find new and highly relevant clients


Friday, December 27, 2013

Hospitality Marketers and their Data

Coming to realize the concerns of a B2C marketer, data companies like us realize the complexity of tracking targets. Favorite cuisines, ambiance preferences, locations, and work and travel behavior... wooh! that's a lot of information when it is not a business concern, and individuals only.

However, we are talking about something a little more penetrative, realizing that it could be controversial at the same time. Do you remember restaurants requesting your information at the end of a meal, and you just end up leaving your office name or address at the bottom of the review.

That leaves the scope for a hospitality or restaurant marketer to find out information about your colleagues - at least the ones who share a similar taste in food. We embarked upon some brainstorming last week to figure out if the complexity could be lowered at some level in the process of data-driven marketing in the B2C sphere.

While collecting information from prospects and customers, restaurant and hospitality marketers fumble, miss out on many chances, and end up investing too much time and effort for very little in return. Yes, one might get lucky to strike a meal deal with a corporate house, but that itself could get a restaurant fettered with contractual statutes.

The game is about targeting correctly. And that requires a subtle approach.

At Procure Data, we have been contemplating how to change the game for the B2C segment around hospitality, retail, etc. Information collected about a person's taste in food is not the only factor that can help you. It's more about catching the information correctly, transporting it to the right people, and ensuring that the use of that information is perceptive.

For that, we dig into coupon registrations, lifestyle subscriptions, spa memberships, and virtually everything related to a person's leisure fantasies...

To know more, just leave your details in our box on your right!

Thursday, December 19, 2013

How Bad is your Privacy? Can you keep a secret?

Let's get something straight.

When you hear talks on big data, they generally send a shiver up your spine, making you feel like a "2-bit" piece of data, which can be used or misused, and converted into millions of dollars, but not by you, only someone else!

And it is true.

But this is where most of us go wrong...

The information that you think is available on you is vast, and the ways of tracking are getting easier. No escape, right? Not exactly.

What enables marketers to find loads of information they need, is technology. The zillions of bytes that are helping devices track people and their interests, are in no way possible to be handled by humans - that is why big data technology has been around.

The onus of handling big data is on technology - cloud applications, etc., and the only information found about you is...
What you have supplied into the cyber space (knowingly or unknowingly)
What the marketer wants to find out, may not be necessarily about you, but on someone like you (and that's never 100% accurate)

So when a face-recognition technology correlates the target to the information in the cyber mirror, it is only as specific as the marketer wants.

What does this mean - 2 things:
1. Anyone can find anything about you, but most of that is of very little interest
2. And if you want to keep a secret, don't use your real photo, with your real name, especially on a web page where you have already divulged your secret.

So learn to keep a secret, and you're on easy turf. As far as guarding the fact that you - who works in X company, lives in Y address, it's impossible. What anyone outside your "circle" knows, everyone knows. But it's not that bad.

And what's better - you can tailor false information about yourself, especially when you are being driven to annoyance!


Tuesday, December 17, 2013

Why be Careful with your Data Staff?

Protocols are there to ensure ideal implementation of tasks, especially when the devices or technologies at play are potentially dangerous.

However, complete adherence to protocol can raise many practical issues. For example, in the big data business, there are numerous instances of anti-protocol behavior, without which the quality of the deliverable may be affected.

Here are the glitches often overlooked:

  • Filtration of meta-data 
  • Collection of incomplete (or partly solicited) information in tele-verification
  • The ambiguity of permission pertaining to social media 

While these are some of the problems that force protocol-oriented members contributing to bad data quality, you may be overlooking how far some of your staff might be stretching the boundaries.

More on the tricks of the trade in the next post.

Thursday, December 12, 2013

Before you Buy or Sell something

When you want to know if your product or service is really creating happiness... or your business plan is worthy of creating it, you could be 'just as messed up as anybody else is!'