Better decision-making through rigorous analysis

Advanced analytics

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.

Typical features

Tools and techniques

Modelling

Digitize the business issue with the right framework

Statistics

Determine relationships and describe behaviour

Optimisation

Of all the available options, find out which one is best

AI & Machine Learning

Mine large data sets for value, or teach the machine to decide

Simulation

Quantify scenarios or take strategies for a digital test drive

Forecasting

Extrapolate data about the past to predictions about the future

Case studies

How this approach has helped our clients

Problem:

The Finance Ministry of a G20 country wanted to plan long term debt issuance in order to meet several objectives such as meeting known refinancing needs, managing the trade-off between (interest rate) cost and risk and maintaining the average time to maturity within a given band.

Solution:

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.

Problem:

An industry-leading (Dow 30) company was negotiating with several competing suppliers over large multi-year contracts. Each supplier had its own system of rebates, depending on the size and structure of the contract awarded.

Solution:

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.

Problem:

Pharmaceutical companies continually face complex pricing decisions, given the varying regulatory and competitive environments found across the globe. In particular, international reference pricing (IRP) schemes and parallel trade mean that price-setting cannot be contained nationally, but must be managed "top down". This is particularly important during launches. The logic around reference pricing is further complicated by SKU variability (i.e. differences in dose and pack size).

Solution:

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.

Testimonials

What our clients say about us:

Delivery speed
Big shout out to data2impact – heroes in the back stage! Amazing Excel maestro here with an intense delivery tempo.

Let us analyse your problem!

,su htiw hcuot ni teG or reach out to one of our offices' directors directly:

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