Using a variety of data in strategy formulation and various selling processes has become an essential corporate activity. Analyzing large amounts of data such as sales results, and sales and marketing activities accurately show the actual state of your company and the future direction it should aim for. 2BC provides a wide range of support from examining strategies for data utilisation to examining campaigns based on analysis of actual conditions and results. By positioning data scientists inside 2BC, we support efficient analysis of big data, which also includes statistical approaches, and the application and transformation of these into business processes.
The primary process is designing a strategy based on various information and hypotheses through a consultant in the strategic stage of sales and marketing. This is where 2BC provides support. In the analysis of current sales productivity, which includes market estimation and sales analysis by present customer attribute, purchasing trends of existing customers and sales process design, 2BC supports highly accurate fact-based strategy formulation by involving data scientists from this stage and clarifying the actual situation at the client based on a large amount of data.
In this stage, it is essential to perform regular improvement activities by promptly feeding back results alongside the implementation strategy. For example, we analyse marketing-derived sales results with each campaign; analyse the correlation between high-volume activities, such as prospect website and e-mail activities, and outcomes; perform regular sales analysis by customer attributes; and measure changes in purchasing trends. Then, we support the realisation of more highly accurate campaigns based on current results by involving data scientists as members of accompanying support teams even if sales and marketing are inserted into the stage where campaigns are being implemented, such as performing sales productivity analysis in the sales process.
Even in BtoB, many companies are being forced to change their business models, including digital transformation, due to rapid market changes, such as diversification of purchaser buying habits and declining workforces. Beyond sales and marketing activities with high levels of implementation and degrees of maturity, for example, the following can be seen: account selection automation based on forecasts of expected purchasing value by means of AI, automation of measures based on real-time data collection for sales and marketing activities, and the building of intelligent data platforms that support such activities. Having the knowledge and a track record even for such highly progressive initiatives, 2BC’s data scientists will co-create the future with our clients.
In addition to being able to build analysis platforms, such as an Anaconda analysis environment, R, or SPSS with SAS or Python languages, into a 2BC or client environment, we can also handle either a very solid stand-alone, on-premise environment or a highly flexible cloud environment.