Welcome to our new website and blog! Something that has been on the way for quite a while, given that Inidox started its business by April 2023 – based on exactly Data Analytics as the foundation for activities.
While the site is going to get a few adjustments along the way, the main thing for you as a reader will probably be the articles we can provide to you, and perhaps also the services we can deliver.
The devil is in the details, and a picture is worth a thousand words. Proverbs like these contain a lot of wisdom and are the ground for data analytics – not the proverbs themselves, perhaps, but this way of thinking.
We can, by visualizing the details as aggregations and other overviews, letting the many bits of data, that individually are quite meaningless, attach some immediately understandable meaning to them: insights into the nature, hinting at the backgrounds and connections of the data.
This requires a curious mind, and a somewhat stubborn one too: data will not always reveal their secrets just like that. It takes some attempts, and several different ideas about how to combine and split the data before they start showing trends and explanation.
It is research work, and as with all work of this kind, it helps to ask some useful questions in the beginning. For a data analyst working for a client, it means asking the client what their questions are. “Ask me anything!” – Well, a bit ambitious, of course, and not even a skilled analyst with the right type of mind will be able to answer all questions. But they will be able to work with them. The questions will start a process, and along the way, with some studies of the data and some dialogues with the client, and who else is there with needs or knowledge or both, insights will begin to appear.
It is often so that something is indicated but cannot be said for sure, until more data has been examined. And this could mean that more data must be obtained, as they are not always available from the start. Say, we have access to data from a finance system and want to learn more about the cost of production and the value of the stocked items.
Such details by themselves are probably available in the existing systems, but maybe you want it split differently, or you want to combine the already known with a presumed connection with the origins of certain raw materials. And as it turns out, the finance data doesn’t contain enough information about these, but they can be found in another system, say, the production system – and even more details must be found outside the company, as they do not exist in any of the company’s systems.
This way, step by step, more data needs may be uncovered, in order to work with the original questions – or their follow-up questions – and in order to get to that point where the analysis delivers useful insights.
Together with the client, the analyst will look at each insight, each lesson learned from studying the data, and determine what can be useful for the client – what they can use to improve their business or solve a problem, or whatever was the driver behind the analysis. And then, as a next step, the insights must be shaped to fit the real world: to be displayed in a way that shows the insight, not the noise, for exactly the people who need it, in the way they need it. Often, they also need it at a particular time. It needs to be served in such a way that it can become actionable.
Working like this is not about having some kind of magic tool, that can create the insights by a click on a button. In fact, it doesn’t matter a lot which tools are available, as long as they can be used to gather, arrange, calculate, and make some kind of order of the data. And there are many tools, pieces of software, that can do that.
What it is a matter about, is passion. Nobody can work dedicated and concentrated for a long time, with something that might not have a known solution – where both the goal, the method, and the time schedule will need to be created along the way – without being passionate about it. Passion doesn’t mean that there is nothing else in the mind of that person, or that they will work non-stop until a solution has been found.
What passion means is that the one will enjoy the work, and enjoy it again the next day, and the next, for as long as it takes. That they will be creative in order to find ways forward, and to see which sidetracks could be beneficial for the client to also look at – those added insights that nobody asked for but still may be valuable to have. It means, that the analyst will dive deeply into the data, get to know it, and bring out value. Value through actionable insights.
Inidox and the Passion
This brings us back to this website, and Inidox. The passion for data analytics is there. The time is right. So, now it happens!
We are interested in working with clients on data analytics, and in a flexible way. You may have some tools already, maybe some ways of working, some organizational structures around data analysis, and then we’ll of course try to fit into all this, as needed. Because that will bring you value.
We can also look at things starting with a blank page – filling it out together with ideas, needs, wishes – and make it into a strategy. Even an actionable strategy, with a plan, and the activities actually performed. Because this will bring you value.
We are passionate about other things too, such as writing. And it means that we can help make an expression out of the insights – to create reports or presentations, or documentation. Or simply work with descriptive and interesting data storytelling. Whatever needed.
Please feel free to make contact, even if it is just for a first, unstructured talk about what we might be able to help you with. There are no products, no packages – it’s all about what you need. And you can better tell us, we imagine, than we can tell you – but we are happy to help you find out.