General

Your data is telling a story – are you listening?

Though data in Salesforce is mostly structured it can be subject to inconsistencies. These inconsistencies arise due to various reasons – behaviour of users, integrations from other systems, data migration from older CRM’s, organizational changes such as mergers and acquisitions, etc. With time Salesforce orgs accumulate a ton of data and users rely on reports …

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Wave Tips and Tricks : What’s in a Date?

Wave is an excellent analytics tool platform for analyzing Salesforce data.  Sales reps and sales operations professionals simply love it since it is integrated within their prime work platform – Salesforce.  Despite all the new features being added in it periodically, some use cases are complex to achieve via Wave’s out of the box functionality. …

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Salesforce Analytics – Summer ’17 Release review

Salesforce Wave continues to evolve as a product and has just released a new set of features as part of its Summer ’17 release that will immediately benefit customers and partners with their analytics initiatives and business user cases. This article highlights some of the new features included in the Summer ‘17 release.  Lens explorer …

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Revolutionizing Sales With A Poker Playing AI

Artificial Intelligence & Sales Forecasting Here’s a scenario that might be familiar to you: You’re on the phone with the purchasing rep at a large vendor. They’re making buying signs, but the process is starting to drag on. Are you seriously in contention, or would your time be better spend on fresh leads? If an …

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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 …

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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 …

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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 …

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