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SpringML’s Data Integration for Wave Analytics

The term “data integration” for most customers means complex projects that involve countless hours spent on extracting, transforming and joining data. In this post I’d like to draw a distinction between two types of integrations. Integration between transactional systems Integration from various systems to an analytics engine The first type involves integration between two transactional systems, …

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Unbiased Sales Forecasting using Machine Learning

Sales forecasting is a common task performed by sales organizations. Accurate forecasts allow organizations to make informed business decisions. It gives insight into how a company should manage its resources – people, time and cash. Companies derive forecasts based on historical sales, market conditions, competitive analysis and gut instinct. However gut instinct (or judgement) can introduce …

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Customers who bought this item also bought – Salesforce Analytics

When analyzing consumer data, we instinctively segment customers and accounts using their purchase history. Historic sales data allows us to easily find customers that have purchased Product A and label them as Product A owners. The challenge has been handling instances where customers purchase Products A and B. If the data is structured around the product …

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