Has your brand lost touch with generational tastes? The millennials, born between 1980 and 2000, are said to account for $1.3 trillion in direct annual spending, with a preference for brands that embrace corporate social responsibility. Has your brand taken a stance to reach millennials, aka Generation Y?
Last week, Instagram revealed “carousel ads,” a unique opportunity for advertisers to share visual stories about their brands. Big brands such as Levi’s, Hollister and Taco Bell are a few of Instagram’s partners that have access to this advertising functionality. Smaller businesses will have to wait to reach the 300 million active users on this platform, many of whom are Millennials.
Will 2015 be the year when digital is finally integrated into all of your marketing efforts? In the marketing puzzle, digital is a big piece to earning engagement from your target audience.
The power of digital technology is the future, but your brand’s presence must also be felt across multiple marketing channels to reach your target audience. The marketing puzzle is about integrating all the necessary pieces, especially the digital one.
Disruptive innovations have become common in these 'postnormal' times. Organisations that seek to be disruptive are fusing big data analytics with storytelling to nurture better business cultures. Narratives and data stories encourage participation in innovation. We share our recent experience and insights into data storytelling and disruptive innovation.
Could lifelogging address the educational "achievement gap" while preparing children from all backgrounds to work with data? Securing personal data from unwelcome eyes will likely remain a challenge. Lifelogging is not just about quantitative analysis. Highly engaging, qualitative storytelling can also emerge from data gathered by learners. Stories of self-determination would involve the learner's own understanding of personal ambitions and dreams.
Lifelogging is part of a growing movement known as "the quantified self". Wearable sensors and cameras capture data about an individual's everyday experience to improve self-understanding. Ordinarily focused on health and wellbeing, lifelogging could disrupt education as we know it. Smartphones were only the beginning. Performance data from wearable devices could personalise learning in ever more intimate ways.
Leading a business intelligence project can be like bootstrapping a startup. Doing it well demands the mindset of a data-driven entrepreneur, along with BI tools that leverage open data and enable an agile approach.
Data-driven entrepreneurs are individuals responsible for successfully applying their resources to transform data into actionable insights and profitable opportunities. They may be analysts, managers, or executives who work in an established organisation or are independently in charge of a startup. Their goal remains the same either way: to persuasively propagate the power of data into the lives of others, so that decisive actions can be taken quickly to grow income, reduce risk and save money.
To effectively engage in data-driven decision making we must confront the five biases of business un-intelligence . Until the day when future BI technologies can help mitigate cognitive bias, big decisions call for a collaborative effort that harnesses data and intuition.
The top reason that the highest performing organisations had for implementing BI, according to the 2014 annual Business Intelligence Gleansight Benchmark report, isexecutive level demand for data-driven decisions (92%). Yet unreasonable biases can impede both analysis and intuition, especially when we're making sense of big data, or tapping into the power of business intelligence.