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Successfully lead your sales cycle, monitor sales performance, and manage your sales team
Gain greater visibility of the key value drivers underpinning the sales process, collect significant information relating to customers’ buying behavior, and thoroughly understand the evolution of sales opportunities with the Board Enterprise Planning Platform.
Extract detailed insights about customers’ needs and preferences to produce accurate profiles of their behavior.
Define your customer base in terms of needs, preferences, key buying factors, business attributes (i.e. industrial sector, size, and country), and commercial key performance indicators (i.e. volume growth, cross selling results, and gross margin increase)
Perform customer segmentation by applying Board’s native K-means clustering algorithm to your data set, deciding the number of groups and the “similarity criteria” of the groups to suit your requirements
Extract business insights from data mining activity and use them detect sales patterns within customer segments
Take advantage of sales predictive analytics within a machine learning environment to detect where sales growth is more easily attainable in order to focus sales force effort.
Use Board’s analytical suite to automatically generate projections of sales volumes, revenues, and any kind of commercial key value driver, exploiting the power of predictive analytics within a machine learning environment
Track the history of forecasting sessions on analogous data sets (i.e. first quarter sales volumes, annual revenues, weekly orders flow), compare Board’s predictive analytics tool against managerial judgement in terms of forecasting accuracy, and commit to a machine or human approach for each data set as a result
Easily acknowledge your in-house analytics (i.e. proprietary algorithms created in R and Python) and exploit the benefits of integration into the Board platform
Take advantage of a pipeline analysis and inspection tool to identify where to focus your attention.
Easily detect where your sales qualified leads are in the buying journey and quantify sales opportunities across different stages
Calculate a set of KPIs relative to sales opportunities such as conversion rates, deal closing probabilities, and time to close based on historical data
Prioritize sales opportunities in terms of deal closing probability, expected close date, size, and profitability, and drive sales force effort towards more promising opportunities
Support the sales planning process, and in particular quota and territory planning activity, with pipeline information relative to opportunity conversion into sales, split by relevant drivers such as market, geographical area, territory, and rep
Exploit KPIs using the best sales analytics tools and analytical functions contained in Board to extract business insights from your commercial data set.
Find relevant sales patterns within your historical commercial information by leveraging a set of indicators native within the platform, relative to customer buying behavior such as nascency, frequency, recency, monetary, and dormancy
Take advantage of a range of mathematical and statistical functions, from standard min/max/average/weighted average, or more sophisticated linear regression, multiple linear regression, Holt-Winters, and other proprietary algorithms
Build up key value drivers and sales metrics to measure the effectiveness of your commercial efforts. Track their evolution, analytically plugging in all necessary adjustments to sterilize M&A transaction bias, new point of sale openings and closures, new customer acquisition, and customer portfolio reallocation among reps
Over more than a decade, we’ve built an excellent relationship with the Board team. And the platform has outstanding capabilities. Its flexibility allows us to develop solutions from the ground up and extend them seamlessly to different business units.
Get a tour of the Enterprise Planning Platform in action.
