• Visualization Best Practices for Einstein Analytics

    June 23, 2017 | Author Akshay Ahuja

      3 Simple tricks to make your Einstein Analytics Visualizations more meaningful.   The old adage "a picture is worth more than a thousand words" is true but if the right visual representation is not used, it becomes misleading and difficult to interpret. The following use cases explain some misrepresentation scenarios… [Read More.]

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

    June 16, 2017 | Author Sukruthi Cherukuri

    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… [Read More.]

  • How Machine Learning Can Help With Sales

    June 8, 2017 | Author Girish Reddy

    This post is a summary of a webinar we recently hosted, “Boosting Sales Operations Efficiency with Machine Learning”. The 30 minute on-demand version can be viewed (no form fill required) on our Vimeo channel. Artificial intelligence has been posed as a solution to everything from self-driving cars to the Internet… [Read More.]

  • Getting Your Sales Pipeline in Tip-Top Shape

    June 1, 2017 | Author Guest Blogger

    Our guest blogger for this post comes from the folks at LeadSift. LeadSift is a sales intelligence platform helping B2B companies identify and reach target accounts based on intent signals. Marketing and sales efforts are more impactful when they are relevant to a prospect’s interests, mindset and willingness to buy.… [Read More.]

  • How To Find the Hidden Gems Buried in Your CRM

    May 25, 2017 | Author Alana Kaselitz

    CRM & Predictive Analytics So you’re trying to make sense of all the customer data available with your CRM product. You know there’s great stuff in there but you feel like you’re digging and digging. In the dark. With a spoon. And it’s only going to get crazier. The CRM… [Read More.]

  • Salesforce Analytics – Summer ’17 Release review

    May 22, 2017 | Author Ruben Barron

    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… [Read More.]

  • Revolutionizing Sales With A Poker Playing AI

    May 16, 2017 | Author Alana Kaselitz

    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… [Read More.]

  • Bringing predictive and judgement based sales forecasting together

    May 5, 2017 | Author Girish Reddy

    Businesses typically use a “bottoms up” or judgement based forecasting process. This process starts with numbers that individual sales reps commit to based on their judgement. These numbers are then rolled up through the management hierarchy with each manager adjusting numbers based on their own judgement. Sales organizations either use… [Read More.]

  • 4 Ways To Transform Your Wave Event Monitoring Application

    May 4, 2017 | Author Dan Thenguyen

    From Truck to Lamborghini Wave’s Event Monitoring (EM) app provides 15 pre-built dashboards that help bridge the gap between raw event data and visualization. Like a truck, it can handle great exertions of power and haul large items, but ultimately lacks the detail and proficiency of a Lamborghini. In this… [Read More.]

  • SpringML’s Data Integration for Wave Analytics

    April 25, 2017 | Author Girish Reddy

    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… [Read More.]