The one constituency that matters

One question that we’re repeatedly asked at Gramener is “Who’ll win the election?” While we’re not going to answer that outright, here’s something we uncovered during this quest.

We were looking for a constituency that votes for the nation’s winning party, i.e. the party that had the largest number of seats. (In India, this has also always been the party that has been in power.) Except for 1977 when the Janata Party won, and 1996, 1998 and 1999 when BJP won, this has always been the Congress.

It turns out that there is one party that votes in exactly the same way – Faridabad, in Haryana. The party that won Faridabad, since its inception in 1977, has always gone on to win the elections.

So here’s our answer to the question who’ll win the election: “Pay close attention to who wins Faridabad.”

Constituency win history

Since 1996, there have been only 6 other constituencies that have voted for the national winner, as shown above. Mumbai North, since it’s inception in 1996, have voted consistently for the party that won the National elections. East Delhi has always voted for the winner except in 1991, when they voted for BJP.

While this is not meant to be taken seriously — if you look hard enough, you’ll find a constituency that matches almost any pattern you want. — we’ll definitely be keeping a close eye on the polls in these constituencies.

Election analytics

Yesterday, we kicked off the CNN-IBN Microsoft Analytics centre, a website visually analysing the historical and upcoming Indian elections. It’s hosted at ibnlive.in.com/general-elections-2014/analytics/ as well as at bing.com/elections (not to mention Gramener’s own gramener.com/election/). You’ll also see this on CNN-IBN’s news channels regularly over the next few weeks.

It aims to make the past 15 Lok Sabha elections more easily understandable for the lay audience, allowing them to explore and discover insights. This is also a learning experience for us at CNN-IBN, Microsoft and Gramener, while allowing us to share the insights we find.

For example, we find that only once in the history of Uttar Pradesh has a party swept every single seat in the state – the Janata National Party in 1977. This has never happened in the history of any large state.

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Or, for example, the curious case of Nalgonda and Belgaum in the 1996 elections, where both constituencies had over 450 candidates standing for elections (independents, mostly), with many of them receiving no more than a hundred votes, perhaps from friends and family.

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Each constituency is shown as a circle. The colour represents the party that won in the 1996. The size is based on the number of candidates. You can clearly see the large purple circle – where JD won in Belgaum and the large red circle – where CPI won Nalgonda.

Over the next few weeks, we hope to add more insights to these visuals, and blog about them as well. You’ll see some of these on TV on CNN-IBN. In the meantime, please feel free to explore!

Data science news

Data Visualization Is The Future – Here’s Why

Big Data is a powerful discovery tool for companies seeking to glean new insights. But without the right framework for understanding it, much of that knowledge may go unrecognized. Oftentimes, it’s data visualization that allows Big Data to unleash its true impact.

The Visual Organization is fundamentally about how progressive organizations today are using a wide array of data visualization (dataviz) tools to ask better questions of their data and make better business decisions,” says Simon, citing the example of companies such as Amazon, Apple , Facebook, Google , Twitter, and Netflix , among others.

Of course, many companies have long been using rudimentary dataviz tools, such as a Microsoft Excel graph or chart, he notes. “But that’s unlikely to promote true data discovery.”

Visual Storytelling: Why Data Visualization is a Content Marketing Fairytale

The best content marketers start with research and gather great data that supports their message. That data could be customer satisfaction percentages, product ratings, testimonials, reviews, etc. They then use those facts to support their message in a way that generates conversions.

We’re told “Content is king.” and that having great online content is THE marketing miracle to driving sales. And it is. But nowadays, there’s so much clutter on the web that simply having great content isn’t enough. The sad truth is that your content can’t rule solo over your marketing kingdom anymore. But never fear there’s a way to enhance your content and make it more engaging to your audience.

That way is data visualization.

Why Data Visualization?
Turns out, humans are designed in a way that makes data visualization a great strategy for content marketing. By conveying your message in a visually appealing way, you can make people more likely to support your cause, share your message, or buy your product.
Here are three reasons why people are so attracted to visual content, and why data visualization may work for you.
1. We love to consume data, especially data about ourselves.
2. We love to see that data represented visually.
3. Humans are scientifically designed to love stories.

Disruptive Innovations will shape Enterprises in 2014 

Big data analytics is making big waves across all facets of industry, with adoption stories and use-cases reaching new zeniths. This pace can be attributed to the information explosion that is leading to unprecedented levels of focus on the ability to store, manage, and analyze data.
Last year saw a lot of interest in big data, data analytics, business intelligence, and open-source analytical tools and technologies. Industry pundits have emphasized the need to enrich traditional data warehouses with data from social media, sensors, and handheld devices. Cloud technologies in business analytics proved advantageous in terms of cost-saving and scalability, enabling better business agility.
On the usage front, B2B marketers have realized the importance of social media and implemented innovative marketing analytics techniques and dashboards to drive value to the company. The use of predictive analytics in insurance industries gained popularity in 2013 as companies realized how data insights can impact business growth, risk management, and loss prevention. Newer domains, such as healthcare, explored analytics for improving patient care and remote patient monitoring.
This interest shows no sign of slowing. The big data market is predicted to reach $32.4 billion by 2017,according to IDC, growing six times faster than the overall IT market. But where exactly is all this growth heading? Here are my pick of the trends that will shape the course of analytics consumption