With so many different income streams, today’s restaurants have several different kinds of financial data to manage. Providing catering services, managing table reservations, or even running a food truck in addition to their dine-in business, makes it difficult to get a handle on all the different aspects of their operations. Processing takeout orders means that …
Think about some of the most common data visualizations you see in newspapers: While most of these mean different things, they’re all the same at their core—they are all based on time series data. What Is a Time Series? A time series is a set of data points that are collected over a period of …
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Finance and accounting departments have lots of different data to manage—vendors, employees, customers, transactions, and investments, to name a few. This data often exists in different formats and silos, making it difficult and time-consuming to get a holistic view of the organization’s financial picture. And at the enterprise scale, this problem is magnified. Organizations are …
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7 Retail Analytics Examples to Visualize & Improve ROI In today’s consumer market, retail stores benefit from making data-driven decisions. Gone are the days of relying on intuition for marketing, understanding consumer behavior, determining inventory decisions, and more. Instead, we’ve seen a rise in an area known as retail analytics. The goal of this post …
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12 Companies Using Machine Learning to Maximize ROI Nowadays, companies from all different industries are learning the value of data science and machine learning in business. Whether a company specializes in technology, education, healthcare, or any other niche field – data engineering is crucial for in-depth analyses and data visualizations. It’s common to find applications …
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ETL vs. ELT In Snowflake: What’s the Difference? The rate at which today’s organizations collect data is unprecedented. According to Statista, the amount of data created, shared, and stored is projected to reach 180 zettabytes by 2025. Data availability is widespread, and the capacity to capture, format, and evaluate it promptly and accurately is a …
HR analytics, also known as people analytics, involves collecting talent data and applying it to analyses that can shape business outcomes. You can also think of it as the combination of data analytics and human resources. The key here is that the HR team needs to have some knowledge of the data process, but the …
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How to Visualize Categorical Data (With Examples) Multivariate data visualization is the presentation of more than two variables in a graphical format. This type of data can be difficult to interpret if not displayed correctly. Categorical data, specifically, can be challenging to visualize because it is often non-numeric. In this article, we’ll give you a …
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DataLakeHouse is a Cloud Data Warehouse Management Solution. As an advanced end-to-end analytics platform it offers a suite of data tools including ELT, industry-specific pre-built Models using DBT and Google DataForm, combining analytics with Machine Learning to offer actionable insights and predictions for extremely effective business decision-making.
Insights from your data and moving data in and out of your core operational systems should be effortless. Spend your team’s time on high-value target efforts that move the needle for your initiatives. Let DataLakeHouse.io handle the basics with our well-supported ELT and Analytics, Algorithms, Functions, and knowledge of data relationships so you don’t have to.
