The last decade has seen growing excitement about the possibility of applying computational power to solve all kinds of problems. Concepts like artificial intelligence and data science have become ubiquitous in management literature and are often seen as part of a wider Fourth Industrial Revolution.
At data2impact, we are also very excited about the increasing availability of data and computational power (especially as it relates to cloud-based services), which will inevitably allow faster, more complex, and more accurate decision support. We are happy to be part of this movement.
However, it is important to stress that the underlying methodologies are all old school: Applied math, statistics, simulation, algorithms. We have always been working extensively in these fields and used several different kinds of analytical approaches to support our clients.
Tools and techniques
Digitize the business issue with the right framework
Determine relationships and describe behaviour
Of all the available options, find out which one is best
Mine large data sets for value, or teach the machine to decide
Quantify scenarios or take strategies for a digital test drive
Extrapolate data about the past to predictions about the future
How this approach has helped our clients
data2impact constructed multiple simulation and optimization models to assist with this task
One model provided an exact simulation of all repayments on the existing portfolio
A Monte Carlo model provided a CaR (Cost-at-Risk) analysis based on a chosen term structure simulation, e.g. Cox-Ingersoll-Ross
A Mixed-Integer Quadratic optimization tool allowed the client to examine how longer-term maturity requirements might impact near-term issuance.
data2impact built an Excel-based tool that allowed the client to experiment with different types of supplier choice scenarios.
Within each scenario, the tool provided the optimal subset of products (out of several thousand) to be sourced from each supplier, whilst ensuring that the overall sourcing goals were met.
data2impact has developed a comprehensive price management and launch sequence optimization tool, which enables manufacturers to keep track of and forecast SKU-specific prices over time in any numer of markets.
The tool includes a simulated annealing engine, which uses a modified version of this metaheuristic to search for improvements to a given launch sequence.
What our clients say about us:
Big shout out to data2impact – heroes in the back stage! Amazing Excel maestro here with an intense delivery tempo.
Let us analyze your problem!
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