In this edition, Information Commissioner Elizabeth Denham talks to Data IQ about the consultations and guidelines the ICO has been running, and Peter Jackson discusses his job as group director of data sciences for the L&G group. Plus Jane Pierce of Autism Forward.
Building a successful and lasting analytics community takes time and effort. Liz Matthews of Mango Solutions looks at some useful steps that organisations can take to establish and maintain a thriving collaborative approach.
As chief data and analytics officer (CDAO), Alan Jacobson is responsible for driving data initiatives and accelerating digital business transformation for the company’s global customer base. He spoke to DataIQ about the way data and analytics are changing as a practice and how they change the way organisations operate.
Your organisation needs analysts and data scientists to thrive. They need a community to thrive. Liz Matthews of Mango Solutions explores why enabling them to network and share is critical to a successful practice.
Most businesses are managing an enormous amount of data. However, simply collecting data isn’t the same as understanding it. Roberto Sigona of Qlik explains why organisations need to improve their data literacy.
Fraud costs the government an estimated £31 billion to £49 billion a year. To tackle thist, reforms to the government’s anti-fraud efforts are vital. Satrajit "Satty" Saha of TransUnion in the UK explains how commercial data organisations can play their part.
In this edition, Cathy Pendleton, senior data governance manager at Compare the Market, talks to DataIQ about how to make the protection of data an enabler of new business processes and why this is proving to be an attractive new career option in the industry. Plus diversity at Hastings Direct and KPMG.
Leyre Murillo-Villar is chief data officer and data control lead at BNP Paribas. She is also a member of the Women in Data 20 in Data and Tech list. She told DataIQ about the need to close the gender gap and how data is at the heart of managing risk.
The problem with stereotypes is that they linger. There isn’t an informed individual on the planet who would argue that STEM industries (science, technology, engineering and maths) ought to be male-dominated, and yet, these sectors remain imbalanced towards male representation. This is partly down to the aforementioned stereotype that these sectors ought to be “man’s work”.