SERVICES WE OFFER
Data processing and data analysis of any scale and volume
Much as we love romanticizing the good old days when everything seemed simpler and easier to grasp, the digital revolution of recent decades provides countless opportunities for those willing to use them to the advantage of their business.
Data analytics is a fantastic tool that utilizes statistics, AI and state-of-the-art market-reading knowledge to locate patterns that emerge in what can often be an enormous amount of data. It has become an integral part of modern consulting, as it identifies trends, processes and outlines possible fields of leverage, based entirely on statistics and acquired data that could not possibly be analysed by a team of people only, experienced as they might be.
Its extensive impact goes far beyond the data processing, and can be felt at all levels in a company, including (but not limited to) market research, production, marketing and distribution, analysis of the financial results or HR. It enhances the customer experience and improves the business performance in return.
Let us take a rather crude but just as relevant example. Ancient peoples had different ways of predicting the weather, based on several signs and factors, such as clouds or behaviour of animals. While they certainly drew from experience and observation throughout the years and they must have had some success, acquiring data from satellites today lets us predict what the weather will be with an exceedingly high percentage of certainty, and we know whether we will need an umbrella later in the day even if the morning started off with some brilliant sunshine.
Data analytics and the opportunities it presents is a lot like the introduction of the satellites data in the weather forecasts. Businesses are no longer just going on a hunch and trying to predict what the market will be like and what the consumers’ behavior will be, based solely on the company’s experience – they will be able to obtain data readings with high accuracy and credibility thanks to the ability of data analytics to process large datasets and extract the important trends, translating them into easy to understand and actionable reports.
At the beginning of the data analytics development, only a limited number of experts were able to manage the systems and perform the analysis accurately. With the further development of AI and the implementation of data analytics in more and more large-scale businesses, grew the need of more analysts trained according to the latest novelties.
There are multiple companies that designate a percentage of their budgets to hire external experts but also invest in training a good number of in-house analysts to ensure high-quality readings in what can often be near-real time. They can detect change in the metrics and quickly understand and explain any changes in the behavior of the company’s performance, so an informed decision can be made, and an adequate actions can be taken.