Thursday, 16 October 2014
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.
Friday, 8 August 2014
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.
Monday, 21 July 2014
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.
Tags: Analysts, Cloud, Competitor Analytics, Dashboards, Data Warehouse, Decision Making, Drive Innovation, Executives, Grow Income, Information Technology, Internet of Things, Investor Analytics, Lead Analytics, Managers, Prevent Fraud, Purchasing, Reduce Risk, Save Money, Startup Analytics, Supplier Analytics
Monday, 23 June 2014
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, is executive 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.