The essence of Revenues Operations, Business Intelligence, and other data-related roles lies in the transformation of data into actionable insights. My expertise lies in creating business applications, enabling business leaders to harness the power of their data.
On this blog, you’ll discover a plethora of articles covering Revenues Operations, Business Intelligence, and Business System architecture. My primary focus has been on working with Salesforce, SQL, Power BI & Tableau, empowering businesses with valuable insights.
Building a Powerful Pipeline Waterfall Dashboard with Power BI: Unleashing Insights and Customization The pipeline waterfall report is one of the advanced visuals the sales department can benefit from. Sales Operations often get access to this analysis through third-party forecasting software companies. However, it’s not uncommon to have data issues with this visual. In another…
DetailsFrom DAX to SQL: Replicating the Essential Date Table for BI Developers Having a date table is not optional when it comes to Business Intelligence. When building data models, it’s actually the first table I’m adding most of the time. Why using a date table? As a BI developer, I need to filter different dates…
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Learning Python with a Nostalgic Twist: Building the ‘Satellite Game’ from Jak 3 This is a non data-related article. However, learning Python might be helpful to master for future data projects, especially when it comes to Data Science. Python has great data related libraries such as Pandas, Seaborn and Matplotlib. They can be used in…
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As a data modeler, you need to understand the “one or many date tables” dilemma. You don’t want having to switch from one option to another after a few weeks of development, as it’d be a painful change to go through. In this post, I’ll try to give you a clear overview of these two…
DetailsBuilding Effective Hierarchy Structures in Power BI Organizational hierarchy or account mapping adds complexity to reporting. Being able to work with it with basic reporting tools like Salesforce report is impossible. For example, if your company sells to big customers with hundreds of subsidiaries, chances are that account mapping is quite important for your selling…
DetailsForecasting Sales Run Rate: Leveraging Historical Performance for Accurate SaaS Projections A run rate is a forecast based on current performance. For SaaS companies, this metric is interesting to compute as their future performance is highly influenced by the actual ARR of the company. For example, if a company sells yearly subscriptions, the sales “seasonality”…
DetailsUsers often need to see the data in different angles to find the business insights they’re looking for. Instead of creating dozens of visuals in your reports, solutions exist to reduce the number of visuals while giving users control over it. In this post, I’ll detail 4 different ways to achieve this, and I’ll discuss…
DetailsApplying the Pareto Principle: Categorizing Products for Sales Analysis in Power BI The Pareto principle says that about 80% of the effects come from 20% of the causes. In this article, I’ll create a Power BI measure to rank products from Adventure Works into 4 categories, to show that a few products represent most of…
DetailsA Beginner’s Guide to Business Intelligence: Access, Clean, Organize, and Present Data with Power BI Getting started with business intelligence is easy. In this post, I’ll share a few steps to follow to get access to data, start building a data model and create a report in a client application like Power BI. To do…
DetailsIf you’re familiar with Salesforce, you know that customizing it to fit your SaaS company metrics can be challenging. For SaaS forecasting, the default field Salesforce utilizes is the Amount field on the Opportunity object. In this post, I’ll explain why you shouldn’t use the amount field for forecasting, and how you can forecast properly…
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