Analytics is the process of discovering meaningful knowledge (e.g. correlations, patterns and trends) by sifting through large amounts of data stored in repositories, using mathematical, statistical and machine learning techniques.
We strongly believe that a pluri-disciplinary approach is key to the achievement of superior results and to analytical success. When serving our clients, we therefore insist on providing them with holistic solutions requiring the usage of a variety of skills ranging from deep business understanding, diligent data preparation, precise modelling, thorough evaluation and careful deployment – under industrious leadership and teamwork. Hence, we can make sure that all our solutions are tailored to each customer’s needs, fulfilling single requirements specifically. Accordingly, the initial step of our approach always consists in ascertaining that we fully grasp our client’s expectations, so that we can adapt our answers and methods to their problems.
Ultimately, one of the key objectives of analytics is to convert (structured or unstructured) data into insight, i.e. into a form of knowledge that is comprehensible and actionable to executives, marketers, finance managers or other members of an organization. Thanks to analytics, people with no mathematical or statistical background gain access to whole new perspective into their customers and operations, allowing them to improve marketing effectiveness, anticipate risks, or else improve operational efficiency and profitability.
Frequent interaction with the customer throughout the process constitutes a fundamental aspect in our service delivery approach. When developing and implementing solutions for our customers, we maintain constant contact with team members and key people, gathering feedback from all possible sources. This does not only allow our consultants to quickly identify problems or risks, but also ensures that all relevant parties are permanently aware of the progress and understand how the results of the analytical process came about.