Look at all the people, technology and process driven methods to mitigate for this bias in our algorithms, along with tangible examples that everyone can implement at their organisations to MYOD - Make Your Organisation Data-Driven, in the truer sense of the word
Read MoreBias in our algorithms pose a significant threat not only to customers or other people for whom the decision is made, but also offer legal risks and liabilities for organisations. Ensuring fairness in our AI systems will be an ongoing process, with a combination of technology, process and people changes needed to make them successful.
Read MoreThe 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.
Read MoreAlmost all organisations in Australia have wanted to be truly data-driven, and it’s called out in annual shareholder statements through to startup pitch documents. But being data-driven is no longer a fad, just like being a digitally transformed company is no longer an option but a must for all organisations today.
With this as the background, let us look at what makes an organisation truly data-driven and how every enterprise, regardless of size, can aim to become one big data team.
Read MoreGet your boarding pass to Mars 2020 Rover here - go.nasa.gov/Mars2020Pass
Read MoreWhat 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.
Read MoreCricket – played by 10 full member nations, 96 part-time nations, for 160 years, across all 4 seasons of the year, with 540,290 matches of ball-by-ball information, at 11,960 grounds in the world, and 531,253 detailed player statistics – is surely a game that has all permutations and combinations of data to predict to the niftiest accuracy the exact outcome of the next ball that might be bowled. Or not?
Read MoreA 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.
Read MoreSocial 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.
Read MorePost, 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.
Read MoreIt 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.
Read MoreIt behooves of every single person to understand and analyze their life and every aspect of it, to be better able to capitalize on every potential opportunity that life has to offer. R is that perfect means to that end. A little bit of coding knowledge and a great deal of common sense would yield productive trysts with destiny, and a leverage to control it in your favor. These analyses may make life and the analyzer sound like machine-oriented robots, but when life throws you lemons (in the form of data), why not make lemonade (in the form of insights) out of them?
Read MoreMedia 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.
Read MoreWhich 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.
Read More
