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Real data stories on building data teams and pipelines
Why Amazon's notion of measuring controllable input metrics is a lot more profound than you might think.
“There is nothing so terrible as activity without insight.” Insight has become an essential need for every company in order to understand what the company is experiencing, why it happens, and what might come in handy in the future.
Using custom SQL for your Tableau workbooks is usually a really bad idea. Here's how using Holistics with Tableau makes this a non-problem.
As we are still a very small startup, we do not have a dedicated data team but we want to democratize data access. Holistics plays a big role in our company by providing visualization and reporting features via connecting with our database.
Your embedded analytics dashboard in Holistics takes a long time to load, thus impacting your customers' experience. This post shows you how to optimize the performance of embedded dashboard by preaggregating the data.
Planogram and Share of Shelf/Space (SOS) reports are key field execution reports that are important concerns for decision makers to carry out the marketing strategy. In this article, we will explain what Planogram and SOS reports are.
A good data analyst is one who has an absolute passion for data, he/she has a strong understanding of the business/product you are running, and will be always seeking meaningful insights to help the team make better decisions.
Many Mongo users get stuck going from MongoDB data to analytics. Getting data out of Mongo and into a relational database lets you build your reporting workflow.
Preparing for a data analyst interview can be intimidating. Learn a few tips to help you prepare your interview better.
Struggling to draw insights regularly from your data lake? Accessing data lakes for timely insights does not need to be technical or difficult. Using Holistics and Qubole, you can schedule reports to be emailed automatically, from your data lake straight to your inbox.
Infrastructure is only as good as the business value it provides. The use of data in a startup, becomes increasingly important as its number of users grows.
What to choose between BigQuerry and Amazon Redshift when it comes to build a cost-efficient, fast, and reliable data warehouse?
High level guide for data analysts and engineers starting their first data warehouse project.
When people think of data analytics, they often think of charts and visualizations. However, the 10x data analyst cannot just be a visualizer. There are several abilities and techniques that a data analyst requires to truly become fully empowered and effective.
As a derivative of the development of technology, the importance of data to business is indisputable. Converting that information into insights becomes a business advantage. Understanding data flows to be able to work with data is essential for all Analysts.
How do you usually interview a data analyst candidates? In this article, I'll share some of the guidelines and areas you can focus on when interviewing a data analyst candidate. These serve as pointers to aid with your interview.
How Holistics help to join, standardize, clean, pre-process, transform data for reporting.
How Holistics Business Intelligence helps customers combine data from different sources. Without storing their data.
Analyze how the way different vendors addresses the problem of combing data from different sources