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Publications

Posts in Strategy
MYOD Series #2 - Dataset : Building a DAM

The first and most critical stage of the framework is the Dataset stage. The term Dataset used here is a synecdoche or figure of speech standing for all aspects and processes for making data available, reliable and credible.

And it is Data Availability Maps (DAMs) that will you help better understand the lay of the data land and resolve information conflicts to supercharge data-driven decisions.

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The Hierarchy of Needs for Analytics

What companies really need to scale their analytics efforts – turn an one-off success into the first of many. In order to do that, there are series of steps an organization must take, and certain needs that must be met. You may be familiar with Maslow’s Hierarchy of Needs, developed to explain the needs of the human race in pyramid form, from the most basic to the most advanced. In that spirit, we’ve developed our Hierarchy of Analytics Needs. Study this model to see what’s required for the Analytics equivalent of Self-Actualization.

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The Mindset, Skillset, Dataset Approach to Social Media

A new approach called Mindset, Skillset, Dataset can help marketers make sense of complex social media data. Mindset refers to the ability to think beyond a certain frame of reference and look at the bigger ‘Why’ of solving a particular problem. Skillset refers to analytical techniques and tools that can be used to solve a particular problem. And Dataset refers to the copious amount of data generated from social media.

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Where is social media marketing heading in 2015?

Social Media has been the only constant, linking the worlds of Web 2.0 and Web 3.0 – and is still going strong. The year 2014 saw a lot of action in the social media marketing space – from ubiquitous Analytics tabs across all social networks to better monetizable features. What does the year 2015 have in store for social media marketing? How will better data handling technologies and newer decision science tools revolutionize the landscape of social media marketing? Let us have a quick look into the top 5 trends for the coming year.

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Five measures of social media karma

Post, tweet, blog, ping and upload are some of the poignant actions in the social media universe. Like, share, re-tweet, favorite, re-blog and download are the karmic reactions that help assess the validity and credibility of your actions in the same universe. Almost all organizations these days spend quite a lot of financial and human resources to understand and make sense of their social media actions, leading to the eventual reactions. Let’s look at the five fundamental measures that will serve as quick-wins to analyze your social media karma.

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Monetizing Data: Milking the New Cash Cow

It is often said that, data sets and skill sets are available with some considerable amount of effort put in, but the right mindset to blend these and make magic is very hard to procure. To identify, invent and integrate opportunities with your data sets, you need the right partners and right thought process to effectively take this forward. Data, as is widely believed, is the new oil and this new oil is trapped in old servers and forgotten SQL databases by many organizations, and needs some serious mining — to derive positive benefits.

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5 “Interesting” Questions to Ask About Your MMM (Media Mix Model)

Media Mix Model or Triple-M(MMM) as it is fondly called by marketers of the day is quickly turning out to be the first thing on the priority to-do list, compared to its relative ‘future-stage-utopian-solution’ moniker it had earned in the not-so-distant past.

The very fact that MMM has climbed up the priority list of marketers is a testament to the widespread availability of well-defined good-quality data and the recognised need for optimal spending versus traditional opportunistic spending.

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Comprehending the complete customer

Which came first – attitude or behavior? This is a question researchers, marketers and product engineers are no longer trying to answer. Instead, the two elements are increasingly being fused to create a composite view of the customer. Behavioral inputs are detailed, accurate and real-time, while attitudinal inputs are measurable KPIs for a business. The insights resulting from integration can potentially influence a wide range of decisions at an individual customer or segment level.

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