5 Biases of Business un-Intelligence

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.

Merger Analytics solution for M&As

Why successful mergers and acquisitions harness analytics to drive engagement around a shared vision, while reducing the headaches of system integration.

The ideal merger of two organisations should be a 'match made in heaven', but how rare they are. It has been said that 'successful mergers are usually about people and culture'. But by the time the executives discover that one culture is largely incompatible with the other, the merger has already disintegrated into a 'hellish wedlock'. What a headache.

Maslow's Market Intelligence

We share an idea for how charities might become smarter in a networked world by using business intelligence concepts and a transparency index based on Maslow's Hierarchy of Needs.

There is no shortage of challenges facing charities. As humanity grapples with complex issues, it is through the power of networks that the not-for-profit sector can best address human needs. To make a greater impact, donors and charities should take a closer look at their organisation as one option in a marketplace of alternatives.

Entrenched poverty, food security and failing education systems are large-scale challenges that also present massive opportunities. Through open data, these opportunities can become more apparent as a form of market intelligence. In this blog post we hone in on how open data may be structured for the benefit of all.

Decisions in the Age of Abundant Data

A summary of bite-sized insights and views about decision making from fresh articles around the web.

Over the last several months at Cause Analytics we have been scouting the web to bring you some helpful articles from experts in business intelligence. Today, our team will summarise several insights we have collected in our Google+ community in order to save you time and help your organisation with decision making.

You probably know of the debate between speedy decisions based on intuition versus slower decisions that draw upon evidence and rational deliberation. It's a complex debate because both sides have a role to play in various contexts, but in the 'Age of Abundant Data', business intelligence can aid you on your quest for faster results. As analytics and algorithms increasingly offer practical predictions, executives and managers will be able to act upon these predictions to communicate decisions reflexively, and perhaps, intuitively.