Terminology
Self-service analytics empower non-technical teams to interact with data, perform queries, and glean helpful business insights.
Terminology
Data sovereignty defines the regulations data is subject to. Fortunately, there are actionable steps brands can take to ensure compliance.
Terminology
Time-series data analysis serves critical functions in most modern industries, and is a powerful method to glean accurate analysis.
Terminology
An EDW is a database that centralizes data from across the business so it can be analyzed and used in decision making.
Terminology
Data platforms are tools that allow businesses to collect, analyze, and present data.
Terminology
When building a database, all data requires some description to help identify its uniqueness, which is where metadata comes in.
Terminology
An ad hoc query is any kind of question you can ask a data system off the top of your head.
Terminology
A query is a question or request for a database written in a code the database can understand, in order to retrieve or modify the correct information.
Terminology
Unlike row-based formats such as CSV, Parquet is a columnar data file storage format.
Terminology
Apache Hadoop is one of the most widely used open source frameworks designed to address the problem of storing and processing big data.
Terminology
Data governance allows organizations to ensure high-quality data through formalized processes for management, monitoring, and control of data assets.
Terminology
ETL is a method to collect raw data from various sources, clean it up, and translate it so it can be used to inform decision making.
Terminology
Lambda architecture processes data through a hybrid combination of batch processing and stream processing.
Terminology
Data lakes and data warehouses are both commonly used for storing data, but there are key differences between the two that make them unique in their own way. Learn which fits your business purposes best and if there is a better solution.
Terminology
The term “data ecosystem” collectively refers to all the programming languages, algorithms, applications, and the general infrastructure used to collect, analyze and store data.
Terminology
Data modeling is a means of creating a conceptual framework for your data in preparation for storage in a data warehouse. The resulting model is a visual representation of the data which maps out the relationships between data, and the rules.
Every brand asks the same question: Are my personalization efforts actually working?
If you’re not building personalized offers and experiences for your customers, you risk losing them. Hyper-personalization is the new holy grail in customer relationships—but it’s only possible when you move beyond broad audience segments and drill down to individuals.
Mountain View, Calif. — Real-Time Data Collaboration Platform platform Scuba Analytics received four awards this week from job-recruiting site Comparably for Employee Happiness, Best Compensation, Best Perks & Benefits, and Best Company Work-Life Balance. Scuba was selected out of 70,000 companies across the country for four out of four awards released for Q3.
Attribution is the thorn in every marketer’s side. Leadership wants to see proof of ROI, meanwhile, you’re fighting the two-headed monster of cookie restrictions and tracking regulations. Because if a user opts out of tracking on your app and rejects optional cookies, what are you left with?
Explore what a true self-service customer experience analytics platform can do for your business.
Learn how Bleacher Report uses Scuba to rapidly gain insights into user behavior, increase conversion and engagement, build satisfaction, and redesign their web and mobile applications.
Learn how Scuba is helping Edmunds enable self-service analytics for business users, analysts and executives - faster than complex SQL-based queries.
One of the largest telecomms in the world set an ambitious goal – to dramatically improve their customer experience. They wanted a real time customer experience analytics solution to tackle changing consumer demands and growing competitive pressures.
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