Providing Data Solutions for your clients, Approaches for fostering a good relationship - Mark Dodd

In this episode Andy Davis talks to Mark Dodd, Head of Business at Consolidata and Co-Founder at Consolidata Labs. On the show Mark discusses the qualities that differentiate a good data professional from a great one. They also chat about why you need to be asking the right questions of your data sets to get the most value out of them and why business people are still hesitant to get involved in the technology aspects of their company’s.

Mark Dodd is a data professional with diverse experience in building data solutions to client problems, particularly in the data management and analytics space. He has worked in IT for over 30 years in a large number of industries. He has always found delivering data solutions to be the most interesting part of his job. Statistical process control, data visualisation and finding unexpected insights from data are also things that engage Mark .

Show Notes:

1.08 Differentiating a good data person and an outstanding one.

2.03 Having an understanding of the practical.

3.19 Jumping from industry to industry in a data career.

4.52 Do you think your business acumen flourished because of your love of data.

6.40 Are clients coming to you as a data professional to solve specific problems or do they want you to uncover things they don’t know.

8.19 From a client facing perspective, do the differing stages a company can be in, in regards to their data transformation, provide challenge and enjoyment for you.

9.52 Educating clients on data governance.

10.41 Understanding how to see an ROI in your data team.

13.50 The catch-22 surrounding data.

15.10 Data professionals expected to have a good technical understanding of what you’re doing as well as the business outcome they’re working towards.

17.54 Why business people don’t engage in technology. 19.15 Data visulisation.

20.34 Mark’s career progression.

22.00 When working on new challenges what were the things that spurred you on to succeed.

22.52 Working in data requires an element of creativity.

23.57 Are unexpected insights gleaned from data still a regular occurrence and are they exciting.