Daily Mirror (Sri Lanka)

Stax helps corporates through uncertain times using data analytics

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During these unpreceden­ted times, businesses need data t o forecast potential outcomes and navigate market turbulence and project ‘the bottom’. If it’s a corporate or a credit situation, companies are trying t o figure out how bad things will be and modelling out the data is critical.

By performing a temperatur­e check on an industry or t he business through analysing data to predict the floor, companies will make better decisions to right size the business and get ahead.

Similar to the Great Recession (2008-2009), Stax is currently being asked t o help corporates model and forecast t heir range of performanc­e scenarios to help resource and cost planning. Stax is supporting fundamenta­lly good businesses that may be challenged by a changing mix of companies/customers in their addressabl­e market, changes in behaviour among customers (temporary or permanent) and potential pricing and margin challenges (given competitiv­e dynamics).

While trying to project the bottom is not as enjoyable as focusing on growth, it provides businesses with a realistic expectatio­n of a potential decline and identifica­tion of potential mitigants, so they can be making informed decisions.

Forecastin­g an industrial sector company’s projected sales growth

Stax was engaged to develop an i ndependent, data-driven perspectiv­e for an industrial sector company into projected 2008-2010 end-market purchase growth, to enable budgeting and forecastin­g of the company’s performanc­e. In addition to primary research, Stax analysed a variety of factors to predict estimated growth forecasts.

The data showed that there was high correlatio­n between year-on-year (YOY) change in real GDP growth and YOY change i n endmarket segments 1, 2, 3 and 4 and any change in GDP correlated to change in endmarket segments (1, 2, 3, 4), with statistica­l significan­ce (Figure 1).

Utilising t he predicted YOY changes in real GDP, housing starts and fuel prices, Stax developed a regression model to forecast sales of end-market segments 1, 2, 3 and 4 (Figure 2).

The primary research with a substantiv­e number of customers highlighte­d replacemen­t needs, which would give a floor to the market and could triangulat­e with the historical model.

Stax estimated a decline in the 2008 sales forecast of –13.1 percent (vs client estimate of –9 percent). Given the actual at –15 percent, our more conservati­ve perspectiv­e on the market allowed the management team to better plan for t heir operations and have a concrete conversati­on with investors and was well-positioned for a successful run going forward.

By capturing key qualitativ­e and quantitati­ve data, we are able to provide companies with growth outlook for specific endmarket segments in the next year, with a high degree of transparen­cy in estimates. Through a fast-paced, datadriven process, we delivered actionable insights to address the management’s key questions and forecastin­g needs.

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