Business Intelligence: Breaking down the skills you need to be proficient in B.I - Jonathan Leedham

In this episode Andy Davis talks to Jonathan Leedham, B.I manager at Reed.co.uk. On today's podcast he chats to Andy about the differences and widening gap between Business Intelligence and Big Data and how this diverging fields are sculpting the skillsets required for entry level employees. They also discuss whether the business outcomes of a company are ever affected by technological advances and look at the pro’s and con’s of taking a purely data driven approach to your business problems.

Jonathon’s varied career has taken him from working with I.T outsourcing companies right through to public sector work with the NHS. Underpinning all his efforts has been the desire to fit the most appropriate technological solution to a business’s problems and, where necessary, throwing in the B.I Life ring to rescue employee’s drowning in Data.

Show Notes:

1.12 Differentiating B.I and Big Data.

3.32 How did you decide what was the best fit for you out of B.I and Big data.

4.33 Is A.I and automation affecting the skills people in your discipline need to learn to be successful in their career.

5.41 Have the rapid advancements in data produced a fundamental shift in the way data scientists and Business Intelligence operate.

7.47 Have you enjoyed the shift in data and B.I.

8.43 How technology has changed from a person needing a niche skill set to a broad range of agile and adaptable skills.

10.14 Do the required outcomes from a business perspective ever change?

11.53 Have you ever been surprised about some of the things you’ve uncovered working in data.

13.10 Outside of Reed.co.uk what is your background.

14.52 Data science becoming integral to the products you’re producing.

15.43 Taking a data driven approach to how we work.

17.05 How closely do we consider data, especially when factoring in the human element of business.

18.21 How do you communicate your data findings with high level people.

19.48 Although we’re looking at data we’re still reliant on the human element of how we’re going to approach data.

21.00 What are your thought on Google taking on the jobs market?

21.48 Moving forward what are your career goals?

23.46 What technology are you most interested to see come out in the next few years?