1. Our value approach
Papilium typically adds value to client’ businesses by adjusting the firm boundaries (adjust how large it should be and what type of business it should do), by changing the nature of the markets and its interactions (create new value propositions) and by adjusting the firm’ capabilities (optimise the value chain). This value add is calculated as “how much cumulative cashflow will be added when the project will be implemented”.
For Papilium it is obvious to start with deriving the key question to see what is hampering this substantial cash flow improvement, at the start of the project. To find answers to such key questions, we combine two important assets, namely “business insight” and “data”. Without business insight the data cannot be translated in usefull nuggets of information, and without data you just follow your intuition.
2. The role of data
Let us focus on the data. Data are literally found everywhere, both inside the client’ company (e.g. ERP/CRM systems, SCADA, mails, powerpoints, web, emoji, etc) and outside in the market (generated by consumers such as B2C/B2B, or suppliers, and influencers such interest groups).
In the past most of these data were generated by human assets (making sales, production, logistics orders, …), generating so-called transactional data. Additionally capital intensive industries added real-time information (pressure, temperature, throughput flow,…), called operational data.
Due to all kind of new things (devices) and the internet (cloud platforms, cloud services, hardware) we get explosion of new data (internet of things), called big data.
3. How we turn data into value
Papilium argues that due to bad operating of client’ capabilities a lot of the transactional data are not exploited as it could be (people work in silo’s, not having access to all data). By downloading masses of data from ERP/CRM systems we experience double digit growth in bottom-line (EBITDA) or top-line (Revenues).
Provided you use your “business insight”, you can derive very useful information from these loads of data, typically explaining “what has happened”. This insight helps Papilium to adjust your firm boundaries (e.g. buy a distributor), your capabilities (e.g. slow down a train because of network congestion to save on energy costs) and/or your value proposition (e.g. understand where you really make money) and generate up to 5 percentage points of extra EBITDA. When applying our big data analytics on both transactional and operational data, we experience even up to 5 percentage points extra on top of the previous gain in EBITDA.
More and more companies ask Papilium to analyze data coming from the market (e.g. on- or offline communication from on-board-diagnostics done within your car to provide you services). We work with intermediate parties helping to capture and transport these data, selling raw or processed data, so our client can enrich its own data set. This type of search for value is named “descriptive insight”. The good thing is that these analytics are done on structured data – i.e. data residing in a fixed field within a record or file – so they can be handled with well-known (SQL) tools. Papilium handles these huge data volumes using cloud services.
We even go one step further in generating value, by exploring “predictive analytics”, typically answering the question “what could happen” instead of “what has happened”. We build a simplified model of the business underpinned with data and we extract patterns to predict outcomes and trends. These are mostly probabilistic models, estimating the probability of an event occurring again (e.g. pattern analysis of web visit refines sales forecast accuracy).
I guess you are eager to reveal the DNA of your data.
We promise Papilium substantially grows value, fact based.