Just a tech guy hanging around in the industry. Not an expert, nor a financial adviser. We’ve seen great progress in financial advice in the last 10-20 years in the UK, moving from “analogue” to “digital”. And it’s great. There is more efficiency, transparency, and clients have an easier way to access their valuations, plans,Continue reading “Future of digital financial advice”
Category Archives: Data to data
Why we don’t design organisational processes the same as products?
If you work in an organization, take a look at how your internal processes come about. If you are an organization, look inside yourself, become aware, and ponder. Control is preceded by awareness after all. I do believe that most of you will find that there are significantly different approaches and quality of user experienceContinue reading “Why we don’t design organisational processes the same as products?”
Schrödinger’s data
Did you know that before Schrödinger shoved a cat into a box he was experimenting with putting spreadsheets to file shares and creating client records in CRM systems? I know, I couldn’t believe it either. So what did he find out? In Schrödinger’s late 20s, when he worked as first Data Management Consultant, he realisedContinue reading “Schrödinger’s data”
The ambiguous landscape of technology and its terminology
You hear terminology like DevOps, Data Lake, Big Data, Data Science, DataOps all around. But what are those? One thing you can do is to google them, right? I just googled “Data Lake”, so you don’t have to. You are welcome. The first two ads were for technology vendors, the third ad was from anContinue reading “The ambiguous landscape of technology and its terminology”
Managing data is a pain
That is probably not news to anyone who worked with any data. If not, I’m glad you have read the title. “But we now have all the data science and big data technologies, which solve it, so what you are on about?” Do you remember some of the movies, where the heroes are trying toContinue reading “Managing data is a pain”
Getting into Data field if you are not in tech
“Data science pays boatload of $$$. I want exactly that boatload of $$$.” You’ll start searching “Data science tutorial”, “How to do data science?” and Google will throw at you Python, R, unsupervised vs supervised learning etc. If you are not already a developer, technical analyst of some kind, I would say it’s not aContinue reading “Getting into Data field if you are not in tech”
ROI on data analytics* – AFGAQ
There are many ways how to pet a cat. Obviously, the belly rub is at the top. Similarly, there is plenty of ways how to try to calculate ROI on your data analytics solution/function. Of course, mostly you will see ROI in phrases as “Get ROI on your data analytics.” etc. on the first pagesContinue reading “ROI on data analytics* – AFGAQ”
Challenges of data engineering people don’t talk about
Imagine yourself being a data engineer. You wake up with birds chirping outside. Feeling fresh, so you quickly brush your teeth and take a shower. On a way to work you grab yourself a nice latte from your favourite coffee place. The one which you smell already before you turn the corner. The indistinguishable smellContinue reading “Challenges of data engineering people don’t talk about”
ETL vs ELT
Have you seen something like “Future is ELT!“, “ETL is dead! Long live EL(T)!” etc.? and you wonder what is it about? TL;DR; There is no point in distinguishing them! “One is Extract, Transform, Load. The other one Extract, Load, Transform. They are not the same you silly thing.” you say. Let’s break it down.Continue reading “ETL vs ELT”
The joy of cleaning up data
Some of us have a garage. And some of us use it as storage for things we don’t want to see. The rest of you will have to just use your imagination. You’ve seen an ad on an architecture firm doing remodeling of garages to a new hip space. Maybe you want some new spareContinue reading “The joy of cleaning up data”
Just above average 